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Figma is expanding its team with a Director of Business Operations—the first on the role—tasked with solving the highest-stakes questions about monetization, pricing, AI consumption models, and the shape of the business model. The role will set the direction for monetizing the AI era, build and lead a small high-leverage team, and partner with Product, Finance, Engineering, and GTM to move strategy to executable decisions and capital allocation. Candidates should bring a top-tier strategy foundation (consulting, PE, or investing) and operating experience at a high-growth software company, plus a track record turning ambiguity into executive decisions, strong P&L and business-model instincts, and leadership ability. The search notes that while not required, experience with monetization, pricing/packaging, or AI consumption models and SQL is a plus; the role is based in US hubs or remotely in the United States. Figma offers equity and a comprehensive benefits package, with an annual base salary range of $258,000–$348,000, and is an equal-opportunity employer that provides accommodations for disabilities; interview process includes camera-on video interviews and in-person onboarding if hired.

Figma is expanding its team to make design accessible and to support ideation, prototyping, code translation, and real-time collaboration, including AI capabilities. They are seeking an exceptional operator to own high-stakes questions around the AI-era monetization strategy, including pricing, packaging, AI credit/consumption models, and the model’s shape, starting as the first Director on the Business Operations team. The role involves setting monetization direction, building and leading a small high-leverage team, and serving as the executive partner for Product, Finance, Engineering, and GTM to turn strategy into shipped outcomes. Requirements include a top-tier strategy foundation with operating experience at a high-growth software company or PE/VC, a track record of turning ambiguity into decisions, executive-level communication, and fluency in P&L and business models, with bonus points for monetization/pricing, AI exposure, and SQL. Compensation includes a base salary range of $258,000–$348,000 plus equity and benefits, with equal opportunity and accommodations, plus interview and onboarding expectations and a Candidate Privacy Notice.

Figma is hiring a Designer Advocate to join our Advocacy team, partnering with Marketing, Sales, and Product to empower users, shape go-to-market strategies, and influence product evolution, with the role full-time and based in a US hub. In this role you’ll collaborate with Sales and Customer Experience to help customers unlock Figma across real product workflows, create written/visual/video resources, foster relationships in the Figma community, and regularly present at industry events to share practical design insights. You should bring deep Figma expertise and experience with modern design workflows, design systems, cross-functional product teams, comfort with evolving technologies (tokens, AI-assisted design, prototyping), strong communication and public speaking, and a willingness to travel up to 25%. Figma emphasizes growth, diversity, and inclusion, offering equity and a competitive compensation package with base salary range $153,000–$317,000 USD, plus benefits such as health/dental/vision, retirement contributions, parental leave, mental health support, PTO, and other perks. We are an equal opportunity employer with accommodations for disabilities; candidates must keep cameras on during video interviews, in-person onboarding is required, and a Candidate Privacy Notice applies to data processing.

Figma is growing its Advocacy team and seeks a Designer Advocate to partner with Marketing, Sales, and Product, championing user voices and helping shape go-to-market strategies and product evolution. You’ll collaborate with Sales and Customer Experience to unlock Figma across real workflows, create written/visual/video resources, foster community relationships, present at industry events, and translate community feedback into product decisions. Ideal candidates have deep Figma and design-system expertise, experience working with cross-functional product teams, comfort with evolving workflows and AI-assisted design, strong public speaking skills, an entrepreneurial mindset, and up to 25% travel, with the role based in a US hub. Compensation includes an annual base salary range of $153,000–$317,000 USD, equity, and a comprehensive benefits package (health/dental/vision, retirement, parental leave, mental health, PTO, and more), subject to plan terms and location. Figma is an equal opportunity employer that provides accommodations for disabilities, requires cameras on during video interviews and in-person onboarding, and encourages applicants even if their background isn’t a perfect match for the listed requirements.

- Figma is hiring a research-minded Data Scientist for the Core Data team to build the experimentation, analytics, and AI tooling platforms that support product teams. - The role involves defining and tracking metrics, accelerating experimentation and causal inference methods, building ML-based analytical frameworks, and creating tools and datasets to enable data work across the company. - Requirements include a PhD in a quantitative field, fluency in SQL, proficiency in Python or R, experience with distributed data systems, and the ability to communicate technical concepts to diverse audiences. - Preferred extras include publications or applied ML experience, interest in AI/LLM analytics, and a self-starter mindset; the position can be remote in the US or based in a US hub. - Compensation features an annual base salary of $170,000–$178,000 plus equity and comprehensive benefits, with a commitment to diversity and accommodations, interview cameras required, and in-person onboarding.

Figma is hiring a Data Platform Engineer to join its Data Engineering team to build foundational AI and data-platform systems that power analytics, data experiences, and product development, with roles available from US hubs or remote in the United States. You will build and evolve the shared data platform, improve local development, testing, CI/CD, staging, and deployment workflows, create self-service tools, and enhance reliability through monitoring, data quality, incident response, upgrades, and performance management, while defining data definitions, ownership, lineage, and reliability expectations. You’ll partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery. Requirements include 5+ years of experience building/operating production data platforms or distributed systems, strong software engineering skills (Python or similar), experience with modern data infrastructure and end-to-end ownership; experience with ML or research data workflows is a plus. Figma offers a competitive compensation package (base salary range $153,000–$376,000 plus equity) and comprehensive benefits, plus equal opportunity employment and accommodations for disabilities; note that cameras are requested during video interviews and onboarding is in-person, with terms subject to plan terms and applicable laws.

Figma is expanding its team to make design accessible and collaborative, with a platform that supports brainstorming, prototyping, translating designs into code, and AI-driven workflows worldwide. They’re hiring a Data Platform Engineer to build the foundational data systems powering analytics, Data Science, and production-grade AI experiences across Figma’s product. Responsibilities include evolving the shared data platform, speeding data development through better local development, testing, CI/CD and deployment workflows, building self-service tooling, improving data reliability, and defining ownership and patterns across multiple teams. Requirements include 5+ years building/operating production data platforms or distributed systems, strong Python or similar software engineering skills, experience with modern data infrastructure, and a track record of leading cross-functional projects; ML/research data workflows are a plus. The role can be remote in the US or from Figma’s US hubs, with a base salary range of $153,000–$376,000 and generous benefits; Figma is an equal opportunity employer that provides accommodations, with in-person onboarding and a candidate privacy notice.

Figma is growing its team of creatives and builders to make design accessible, with a platform that supports brainstorming, prototyping, translating designs into code, and real-time collaboration from anywhere. The Business Operations team tackles some of Figma's most challenging business issues by working across Engineering, Product, Go-to-Market, and Operations on strategic initiatives that have a direct, measurable impact, with this role offering substantial senior leadership exposure and the option to work remotely within the United States. In this role you will identify, evaluate, and prioritize new product initiatives and operational projects, partner with stakeholders to implement improvements, drive execution, and develop executive-ready analyses and recommendations using data, customer insights, and market trends, with clear success metrics. Requirements include 6+ years of relevant experience, the ability to distill complex issues into structured frameworks, strong analytical modeling and stakeholder communication, and it’s a plus to have experience at a high-growth B2B SaaS company, product/GTM partnerships, and SQL. Figma offers a base salary range of $140,000–$245,000 plus equity and a comprehensive benefits package, a commitment to diversity and accommodations, and notes on interview logistics (camera-on) and in-person onboarding, with privacy protections per their candidate privacy notice.

Figma is growing its Business Operations team to tackle strategic, high-impact business issues across Engineering, Product, Go-to-Market, and Operations, offering a full-time role that can be based in a US hub or remotely in the United States. The role involves identifying, evaluating, and prioritizing new product initiatives and operational projects, partnering with stakeholders to implement improvements, driving execution, and developing executive-ready analyses and business cases to influence strategic decisions; you’ll also establish success metrics and monitor KPIs to inform investment decisions. Requirements include 6+ years in investment banking, management consulting, private equity, corporate planning, analytics, or related fields, with the ability to distill complex issues into structured frameworks, build integrated models, and manage cross-functional stakeholders; SQL and B2B SaaS experience are nice-to-haves. Figma encourages applicants even if their background isn’t a perfect match and offers equity plus a comprehensive benefits package (health, dental, vision, retirement, parental leave, mental health, paid time off, etc.) with a base salary range of $140,000–$245,000 USD and potential bonuses; compensation and benefits are subject to plan terms and may be changed. Figma is an equal opportunity employer that provides accommodations for disabilities, requires cameras on during video interviews and in-person onboarding, and processes candidate data per the Candidate Privacy Notice, with accommodations available at accommodations-ext@figma.com.

Figma is hiring a Brand Designer to establish a clear visual direction for product storytelling and translate complex product strategy into compelling stories for major launches, collaborating with product marketing, strategists, copywriters, designers, and motion designers. You’ll turn product strategy, market context, and feature complexity into storyboards and styleframes, build narrative-driven assets across launches, evolve Figma’s visual storytelling system, and push new formats beyond the current playbook. Requirements include a portfolio with a strong visual point of view across mediums, experience distilling briefs into a single idea and driving it to execution, collaboration with motion designers, production teams, product marketing, and product design, and proficiency in Figma (After Effects a plus). Nice-to-haves include basic animations, interest in researching new tools, experience on product launch films or explainers, ability to translate strategic complexity into a story, and alignment with Figma’s values with autonomous visual direction. The role is full-time in the US (US hubs or remote), with a base salary range of $127,000–$269,000 plus equity and comprehensive benefits, plus diversity and accommodation commitments; candidates should be prepared for camera-on video interviews and in-person onboarding, with data handled per Figma’s Candidate Privacy Notice.

Figma is growing its team of passionate creatives and builders to make design accessible to all, with a platform that supports brainstorming, prototyping, translating designs into code, and AI-driven iteration for real-time collaboration worldwide. They are looking for a Brand Designer who can establish a clear visual direction for product storytelling and drive it from concept to execution across launches and key product moments, partnering with product marketing, strategists, copywriters, designers, and motion designers. Responsibilities include turning product strategy, market context, and feature complexity into storyboards and styleframes, evolving Figma’s visual storytelling system, owning launch storytelling from early concepting to final delivery, and pushing new formats beyond the existing playbook. Requirements include a portfolio showing strong visual point-of-view with finished execution across mediums (styleframes, storyboards, concepting), experience distilling briefs into a single idea, collaboration with motion designers and cross-functional teams, a strong sense of composition and color in motion contexts, and proficiency in Figma (After Effects a plus). They offer a salary range of $127,000–$269,000, equity and a comprehensive benefits package, commitment to diversity and accommodations for disabilities, and note about interview/camera policy and in-person onboarding.

Figma is expanding its team of creatives and builders by hiring an applied scientist with a Machine Learning and AI background to build AI technologies that enhance Figma’s platform, with roles available from US hubs or remotely in the United States. You will drive fundamental and applied AI research, explore the boundaries of current technologies to build cutting-edge generative models (using SFT, RL, prompts, and synthetic data) and collaborate with product and infrastructure engineers to deploy AI-powered features while building evaluation systems to measure quality. Requirements include 4+ years in Generative AI and 6+ years in ML/NLP/vision, 5+ years of software engineering, experience with PyTorch/JAX/HuggingFace, and RL techniques such as DPO/PPO/RLVR, plus a track record of shipping generative AI features in production and strong cross-functional collaboration. Nice-to-haves include experience planning multi-year roadmaps, mentoring senior engineers, and large-scale distributed AI training, aligned with Figma’s Grow as you go mindset. Compensation includes an annual base salary range of $153,000–$376,000 USD, plus equity and a comprehensive benefits package, with Figma as an equal opportunity employer that provides accommodations and outlines onboarding and privacy policies.

- Figma is expanding its team and seeking applied scientists with ML/AI to build AI technologies that make design more magical and accessible, enabling AI-powered features across ideation, prototyping, code translation, and real-time collaboration. - The role centers on driving fundamental and applied AI research, exploring current technology boundaries to build generative AI models using methods like supervised finetuning, reinforcement learning, prompt improvements, and synthetic data generation for Figma’s domains. - You will collaborate with product and infrastructure engineers to translate user feedback into AI requirements, implement and evaluate AI-powered features, and build systems to measure quality. - Qualifications include 4+ years in Generative AI and 6+ years in ML/NLP/vision, strong software engineering (5+ years in Python/C++/Java/R), and hands-on experience with PyTorch/JAX/HuggingFace and RL approaches such as DPO/PPO or RLVR. - Compensation includes a base salary range of $153k–$376k plus equity and a comprehensive benefits package, along with diversity and inclusion commitments, accommodations for disabilities, and policies such as camera-on during video interviews and in-person onboarding.

Figma is growing its team of creatives and builders to make design accessible, offering a platform that supports brainstorming, prototyping, translating designs into code, and AI-driven iteration for real-time collaboration from anywhere. The Strategic Account Executive role, based in Sydney or Melbourne, focuses on targeting and expanding a defined list of top-tier enterprise accounts and building relationships with C-level decision-makers. Key responsibilities include discovery and value-based selling, aligning with executives for enterprise-wide deployments, creating strategic account plans, coordinating with cross-functional partners, and developing ROI cases to win large deals. Requirements include 8+ years in enterprise software/SaaS sales with a track record of pipeline generation and closing long, complex cycles, plus proficiency with structured methodologies like MEDDIC; nice-to-haves include experience selling to technical audiences and relevant certifications. Figma emphasizes diversity and equal opportunity, accommodations for applicants with disabilities, and notes about privacy, interview practices (cameras on), and in-person onboarding.

Figma is expanding its team and seeks a Strategic Account Executive to drive sales and maximize expansion with a defined list of top-tier Enterprise customers, engaging C-level decision-makers and aligning Figma’s roadmap with their business needs. The role involves managing named strategic accounts, meeting sales targets, employing discovery and value-selling, creating strategic account plans, coordinating with cross-functional partners, and advancing executive relationships through in-person meetings and networking. Required qualifications include multi-year software/SaaS enterprise sales experience with 5,000+ employees, proven pipeline generation, and experience managing complex 9+ month sales cycles, with a bonus for selling to Engineering/Product/Design leaders and relevant certifications. The position is full-time and remote in the US or based at a US hub, with an annual base salary of $200,000 plus equity and a comprehensive benefits package, though compensation may vary by location and other factors. Figma is an equal opportunity employer that offers accommodations for disabilities, requires cameras on during video interviews, and processes candidate data under its Candidate Privacy Notice.

Figma is growing its team to make design accessible, offering a platform that supports brainstorming, prototyping, translating designs into code, and AI-driven iteration with real-time collaboration. They’re seeking a Strategic Account Executive to drive sales and expansion with a defined list of top-tier Enterprise customers, building relationships with C‑level decision-makers and delivering integrated solutions across the product suite. Responsibilities include managing named strategic accounts to meet targets, using discovery and value-selling to secure sponsorship for enterprise deployments, creating strategic account plans, and collaborating cross-functionally to move deals forward and ensure customer success. Required qualifications include multi-year SaaS software sales to 5000+ FTE enterprise customers, consistent pipeline generation for net new business, and experience managing complex 9+ month sales cycles, with bonus if you have experience selling to technical audiences and certifications in deal qualification. Figma offers equity and a comprehensive benefits package, an inclusive workplace, disability accommodations, a base salary around $200k, and notes about camera-on during video interviews and in-person onboarding along with a Candidate Privacy Notice.

Figma is expanding its team and seeks an Account Executive, SMB, to generate new business and guide inbound prospects through the Figma evaluation and buying process for SMB customers. This full-time role is based in NYC or SF with in-person work two days per week, and you’ll create and manage an SMB pipeline from inbound and outbound activity to consistently meet sales targets. You’ll use discovery and value-selling with key decision-makers, align with stakeholders to map Figma’s roadmap to business needs, tier large volumes of accounts, and drive deals forward through cross-functional collaboration and in-person meetings. Ideal candidates have structured sales or outbound experience, SaaS closing experience, and a track record of high-volume pipeline generation, with bonus points for selling to technical teams and deal-qualification certifications; Figma encourages applicants even if their background isn’t a perfect match. Figma offers equity, a base salary of $70,500 plus comprehensive benefits, equal opportunity and accommodations, and notes that video interviews require cameras on and onboarding will be in person, with data processed per the Candidate Privacy Notice.

Figma is expanding its team to make design accessible and enable collaboration from idea to product across the world. They are seeking an Enterprise Account Executive in Sydney or Melbourne to drive sales, nurture executive relationships, and deliver solutions across Figma’s product suite for enterprise customers. The role involves building and managing a robust enterprise pipeline, using discovery and value-selling, aligning with executives for deployments, creating strategic account plans, managing a tiered book of business, and coordinating with cross-functional partners to move deals forward. Requirements include multi-year enterprise SaaS sales experience closing deals with 5000+ FTEs, meeting pipeline targets, and handling complex sales cycles; it’s a plus to have experience selling to technical audiences and deal qualification certification. Figma emphasizes its Grow as you go culture, supports diversity and equal opportunity, offers accommodations for applicants with disabilities, requires cameras on during video interviews, in-person onboarding, and processes candidate data under its privacy notice.

At Atlassian, employees can choose to work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities, and the company hires in any country where it has a legal entity. DX, headquartered in Salt Lake City, is a fast-growing SaaS company that helps engineering leaders build high-performing teams, collecting millions of data points daily to power insights into developer productivity for clients such as Pinterest, GitHub, BNY, and Xero, and it has tripled its annual recurring revenue in recent years. DX recently closed its acquisition by Atlassian, and joining Atlassian will expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, values center on individual mastery and becoming the best at your craft, with success judged by mastery even when outcomes are influenced by external factors. The role involves prospecting outbound and inbound leads, building relationships and meetings with prospective businesses, delivering an extraordinary experience to software engineering leaders, learning personalized outreach and social selling, partnering with account executives and marketing, onboarding SDRs, and representing DX at industry events, while offering opportunities to challenge yourself, own your work, level up skills and compensation, and make a measurable impact on a company's success.

Atlassian offers flexible work location options—office, home, or a hybrid—along with the ability to hire in any country where the company has a legal entity, to support personal priorities. The Senior Principal Forward Deployed Engineer role puts you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and impact business outcomes. You will code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, and build robust integrations with Python or JavaScript for APIs, microservices, and enterprise-scale systems. You’ll influence product direction by collaborating with customers, champion AI-augmented workflow automation, oversee end-to-end production deployments, and navigate AI risk, data privacy (GDPR), and regulatory compliance. You’ll also mentor Senior FDEs and engineers, communicate complex technical concepts to both technical and non-technical stakeholders, and align technical solutions with business objectives and measurable results.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity to support employees’ family, personal goals, and priorities. - The Senior Principal Forward Deployed Engineer (FDE) at Atlassian works at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions, with the FDE team partnering with leading organizations to solve real-world problems using Atlassian’s AI capabilities. - The role involves working with product, engineering, and design to rapidly grow technical and domain expertise and make a tangible business impact in a high-visibility, high-impact, fast-paced, ambiguous environment shaping the future of AI-powered teamwork. - Responsibilities include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo tailored to customer needs, and architecting robust integrations using Python/JavaScript with a focus on APIs, microservices, and enterprise-scale systems. - Additional duties encompass influencing product direction with customers, championing AI-augmented workflow automation, overseeing end-to-end production deployment with continuous evaluation and improvement, navigating risk and compliance (AI risk assessment, GDPR) and regulatory frameworks, mentoring engineers, and communicating complex technical concepts to technical and non-technical stakeholders to align solutions with measurable business objectives.

Atlassians can choose where they work—office, from home, or a combination—giving them more control over family, personal goals, and other priorities. The company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first organization. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that enables machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. You will also have the opportunity to lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering GenAI products. - The role uses software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. - There is an opportunity to lead other engineers on projects from technical design to launch. - The position involves collaborating with other teams and internal customers to set expectations, gather input, and communicate results.

At Atlassian, employees can work from an office, from home, or a hybrid arrangement, giving them more control over family, personal goals, and priorities. The company hires people in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first organization. In the Rovo GenAI Platform team, a Senior ML System Engineer builds and maintains the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. The role involves using software development expertise to solve difficult infrastructure and architecture challenges and may include leading other engineers from technical design to launch. It also requires collaborating with other teams and internal customers to set expectations, gather input, and communicate results.

- Atlassians can work in-office, from home, or a combination, giving them flexibility to support family and personal goals. - The company hires in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of being distributed-first. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure for ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering GenAI products. - The role uses software development expertise to tackle complex infrastructure and architecture challenges and offers opportunities to lead other engineers from design to launch. - It also involves collaborating with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian supports flexible work locations, allowing employees to work in an office, from home, or in a hybrid setup to better balance family, personal goals, and priorities. They hire globally wherever they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The role is Senior ML System Engineer in the Rovo GenAI Platform team, responsible for building and maintaining core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines powering GenAI products. The position involves applying software development expertise to solve challenging infrastructure and architecture problems, and it may include leading other engineers from technical design to launch. Collaboration with other teams and internal customers to set expectations, gather input, and communicate results is also part of the role.

Atlassians can choose to work in an office, from home, or a hybrid arrangement, giving them more control over family, personal goals, and priorities. The company hires in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure to enable ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. The role leverages software development expertise to solve complex infrastructure and architecture challenges and may lead other engineers on projects from design to launch. It also involves collaborating with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products by building horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by providing tools to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving infrastructure, including distributed systems and low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), improving latency and throughput under production workloads, building high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, creating CI/CD for model deployment, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work options—office, remote, or hybrid—and can hire in any country with a legal entity to support employees’ family and personal goals. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, building a centralized Search, Q&A, and Conversational AI system, and exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by building productive tools that enable teams to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to deep low-level optimizations like GPU kernels and quantization. Responsibilities include architecting scalable infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), reducing latency and increasing throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, establishing CI/CD for model deployment, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian offers flexible work arrangements and hires globally where they have a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products, deliver seamless AI experiences, and build a centralized search, Q&A, and conversational AI system while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by creating productive, reliable tools to develop, deploy, measure, and operate AI models and experiences for Atlassian teams, customers, and the ecosystem. The Senior ML System Engineer on the Inference team will design and optimize end-to-end large-scale model serving, spanning distributed infrastructure to low-level GPU and quantization optimizations. Responsibilities include architecting scalable infrastructure (load balancing, auto-scaling, batching, global KV cache), reducing latency and boosting throughput under production workloads, building high-concurrency serving systems for billions of requests, enabling CI/CD for model deployment, and collaborating to fine-tune open-source LLMs.

Atlassian enables flexible work arrangements (office, remote, or hybrid) and hires globally wherever it has a legal entity. The Central AI Org is tasked with driving AI innovation across Atlassian products, building horizontal AI capabilities, and establishing a centralized Search, Q&A, and Conversational AI system integrated with all products and potentially beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving systems end-to-end, owning distributed infrastructure such as global KV cache, continuous batching, load balancing, and auto-scaling, as well as low-level optimizations like GPU kernels, quantization, and speculative decoding. Responsibilities include architecting scalable model-serving infrastructure, reducing latency and increasing throughput under production workloads, building reliable high-concurrency serving for billions of requests, benchmarking and accelerating inference engines, creating CI/CD for model deployment, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

At Atlassian, employees can work in the office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, delivering seamless AI experiences, and building a robust AI infrastructure, including a centralized Search, Q&A, and Conversational AI system while exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools that empower Atlassian teams, customers, and the ecosystem to develop, deploy, measure, and operate AI models and experiences. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving systems end-to-end, from distributed infrastructure to deep low-level optimizations. Responsibilities include architecting scalable model-serving infrastructure, optimizing latency and throughput under production workloads, building high-concurrency serving systems, creating CI/CD pipelines for model deployment and inference engine updates, and collaborating to fine-tune open-source LLMs for deployment.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid setup, and hires in any country where it has a legal entity. The Central AI Organization is dedicated to driving AI innovation across Atlassian products and platforms and to delivering seamless AI experiences while building robust AI infrastructure for the future. Its purposes include developing horizontal AI capabilities and infrastructure across all products, establishing a centralized Search, Q&A, and Conversational AI system, and exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by building productive, reliable tools to enable development, deployment, measurement, and operation of AI/ML models and experiences. As a Senior ML System Engineer on the Inference team, you will design and optimize end-to-end large-scale model serving systems, overseeing distributed infrastructure and low-level optimizations, and you will architect scalable infrastructure, optimize latency and throughput, build high-concurrency serving systems, benchmark and accelerate inference engines, create CI/CD for model deployment, and collaborate to fine-tune open-source LLMs and deploy.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires globally wherever it has a legal entity to support employees’ family and personal priorities. The Central AI Org drives AI innovation across Atlassian products, aims to deliver seamless AI experiences, and build a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system, with exploration of external integrations beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI and ML by providing productive tools to develop, deploy, measure, and operate AI models for Atlassian teams, customers, and the ecosystem. The Senior ML System Engineer on the Inference team will design and optimize large-scale model-serving systems end-to-end, handling distributed infrastructure, latency/throughput optimization, and low-level GPU and model optimizations. Responsibilities include building scalable infrastructure for serving (load balancing, auto-scaling, batch scheduling, global KV cache), benchmarking and accelerating inference, creating CI/CD for model deployment, and partnering to fine-tune open-source LLMs and deploy them.

At Atlassian, employees can choose where they work, and they hire in any country where the company has a legal entity; as a senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search, and drive end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants with strict SLO targets for availability, latency, and relevance. In ML Model Development & Serving, you will build production ML models including neural rankers, embedding models, and reranking systems, integrate them into serving infrastructure using frameworks such as Triton and PyTorch, and collaborate with ML researchers to translate experiments into production-grade systems with robust monitoring and evaluation harnesses. In Agentic Search & Retrieval, you will design retrieval systems for agentic and RAG use cases—personalized indexes, grounding pipelines, and multi-step retrieval workflows—and partner with Rovo and AI platform teams to evolve search infrastructure as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale. You will drive operational excellence and cost discipline through observability, monitoring, incident response, and FinOps-driven optimization across vector search and ML serving fleets, while maintaining production health and mentoring junior engineers as part of cross-functional collaboration with engineering leads, product managers, and platform stakeholders.

At Atlassian, employees can work in an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML component delivery across multiple regions and tenants to meet strict SLO targets. Responsibilities include ML model development and serving (neural rankers, embedding models, and rerankers) integrated via frameworks like Triton and PyTorch, plus agentic search and Retrieval-Augmented Generation use cases with personalized indexes and multi-step retrieval, in collaboration with Rovo and AI platform teams. You’ll emphasize operational excellence and cost discipline through observability, incident response, FinOps, capacity planning, and mentoring, while collaborating cross-functionally with engineering leads, product managers, and stakeholders to define roadmaps and OKRs.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in countries where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—including retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML delivery from experimentation to production rollout across multiple regions and tenants, with strict SLO targets for availability, latency, and relevance. You will build production ML models (neural rankers, embedding models, and reranking systems), integrate them into serving infrastructure using Triton and PyTorch, and collaborate with ML researchers to translate experiments into production with robust monitoring and evaluation. You will design agentic retrieval systems for agentic and RAG use cases, partner with Rovo and AI platform teams to ensure retrieval quality and freshness at scale, and drive observability, incident response, FinOps cost discipline, and mentorship across the team.

Atlassian lets employees choose where to work and hires in any country where they have a legal entity. As a senior Machine Learning Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—including retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML components from experimentation through production rollout across multiple regions and tenants, ensuring high-throughput, low-latency performance with strict SLOs. The role includes ML model development and serving (neural rankers, embeddings, reranking), deploying models with Triton and PyTorch, and collaborating with researchers to productionize models with robust monitoring and evaluation. Additional focus areas include agentic search and retrieval for RAG use cases, partnering with Rovo and AI platform teams, and maintaining operational excellence via observability, FinOps cost discipline, on-call readiness, capacity planning, and cross-functional collaboration with mentors and engineering best-practices champions.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for designing, developing, and deploying ML systems that power search across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across regions and tenants to meet strict SLOs for availability, latency, and relevance. The position covers ML model development and serving (neural rankers, embeddings, reranking) integrated into serving infrastructure with Triton and PyTorch, plus collaboration with ML researchers to productionize models with robust monitoring and evaluation. It also includes designing agentic and Retrieval-Augmented Generation use cases, partnering with Rovo and AI platform teams for scalable retrieval, maintaining operational excellence and FinOps cost discipline, and working cross-functionally to define roadmaps, mentor juniors, and uphold engineering best practices.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. Strategic Sales Development Representatives partner with Enterprise Account Executives to build a sales pipeline for their most complex customers, in close coordination with Sales Operations and Marketing, and they report to an Enterprise Development Sales Manager. The role is accountable for meeting setting, outbound prospecting, conversion, quota, feedback, and maintaining a customer-obsessed approach for large customers. It requires collaboration with enterprise sales, marketing, partners, and operations, plus strong value-driven messaging and adept prospecting via email, social, video, and calling. The job involves pipeline-building with Enterprise AEs and Marketing, understanding customers' organizations and goals to add value, and using sales technology like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where the company has a legal entity. The role is Strategic Sales Development Representative who partners with Enterprise Account Executives to build and manage the pipeline for Atlassian’s largest customers, in close coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. Responsibilities include meeting setting, outbound prospecting, conversion, quota attainment, feedback, and maintaining a customer-obsessed approach for top accounts. The role requires collaboration with enterprise sales, marketing, partners, and operations, and success with value-driven messaging to navigate objections, with strong prospecting using email, social, video, and calls to delight customers. You’ll build the pipeline with Enterprise Account Executives and Enterprise Marketing, develop a deep understanding of customers’ organizations and goals to add value, and enjoy using sales tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work options (office, home, or a mix) and can hire globally where it has a legal entity; this role, however, is hybrid and requires four days onsite per week in Salt Lake City during DX’s integration. DX is a Salt Lake City–based SaaS company that helps engineering leaders build high-performing teams by collecting millions of data points daily to power productivity insights, with clients like Pinterest, GitHub, BNY, and Xero. The company has grown profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian, which will expand resources and accelerate growth and R&D to deliver greater impact. DX values individual mastery and high-level performance, recognizing that external factors can affect outcomes while rewarding those who perform at the highest level. In this role, you will prospect outbound and inbound leads, build relationships with prospective software engineering leaders, deliver an exceptional experience, learn personalized outreach and social selling, and partner with account executives and marketing, with opportunities for accelerated career growth and a measurable impact on the company's success.

Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where the company has a legal entity, giving teams more control over family, personal goals, and priorities. As a Principal Forward Deployed Engineer (FDE) at Atlassian, you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian’s AI capabilities to solve complex, real-world problems, while you collaborate with product, engineering, and design to grow technically and make a tangible business impact. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork; you will lead the design, development, and deployment of AI/ML-powered solutions, architect robust integrations, drive data-driven insights, automate workflows, oversee production deployment, manage risk and compliance, mentor junior engineers, and communicate complex concepts to stakeholders. You’ll align technical solutions with business objectives, setting a clear vision for progress and measurable results.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. The Principal Forward Deployed Engineer (FDE) will lead applied AI work with customers and cross-functional teams to deliver AI-powered solutions across diverse industries. The role includes designing, developing, and deploying AI/ML solutions, architecting robust integrations, and guiding data-driven product direction. Responsibilities also cover end-to-end deployment, AI-driven workflow automation, risk and compliance (including GDPR), mentoring junior engineers, and communicating complex concepts to stakeholders. It is a high-visibility, high-impact role in a fast-paced environment, requiring alignment of technical work with business objectives and measurable results.

Atlassian offers flexible work locations—office, home, or a hybrid setup—and hires people in any country where they have a legal entity. They are looking for a Principal Backend Software Engineer to join the team, focused on delivering creative improvements for engineering teams. You’ll regularly unblock challenges across the software development lifecycle, create cross-team solutions, and determine plans of attack on large projects. You’ll routinely solve complex architecture challenges, apply architectural standards, lead code reviews and documentation, tackle complex bug fixes, and set the standard for meaningful code reviews while partnering on company-wide initiatives. You’ll transfer your depth of knowledge from your current language to excel as a software engineer and mentor more junior members of the team.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to better support employees’ family and personal goals. The company is looking for a Principal Backend Software Engineer to join a team focused on delivering creative improvements for engineering teams. Your responsibilities include regularly unblocking challenges across the software development lifecycle from design to launch, and creating solutions used by other teams and products, including plans-of-attack for large projects. You will routinely solve complex architecture challenges, apply architectural standards to new projects, lead code reviews and documentation, tackle complex high-risk bug fixes, and set the standard for meaningful code reviews. You will also partner across engineering teams on company-wide projects, transfer your depth of knowledge from your current language to excel as a Software Engineer, and mentor more junior members of the team.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The Product Counsel team partners with R&D and product leaders to enable rapid, responsible AI-enabled product innovation. They are seeking a creative, adaptable Director of Product Counsel to shape the team’s operating model and playbook for the AI era. Responsibilities include counseling product and engineering on AI, data governance, IP, and platform architectures; creating repeatable frameworks and guardrails; acting as the primary legal partner for product initiatives; and helping mature the function with new tools and async collaboration. Requirements include 8+ years of software product counseling (ideally B2B SaaS), a JD with a license to practice, experience in both law firm and in-house settings, strong generalist skills and comfort with ambiguity, plus a bonus for familiarity with Atlassian tools.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires people in any country where it has a legal entity. The Product Counsel team sits alongside R&D and product leaders as strategic partners to drive rapid, responsible product innovation in the AI era. The Director of Product Counsel will counsel product and engineering teams on emerging AI/ML legal and regulatory issues, including data governance, IP, and platform architectures. The role also entails applying a versatile generalist approach across products and tech stacks, designing repeatable AI playbooks, launch checklists, and scalable legal guardrails, and maturing the team through new ways of working and async tools. Requirements include 8+ years of software product counseling experience (preferably in B2B Enterprise SaaS), a JD with licensure, experience in both law firms and in-house teams, strong generalist skills, comfort with ambiguity, the ability to synthesize complex tech, excellent writing, and familiarity with Atlassian tools as a bonus.

Atlassian offers flexible work setups and hires globally wherever they have a legal entity. The Product Counsel team acts as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in AI and related technologies. The Director of Product Counsel will advise on emerging AI, data governance, IP, and platform architectures, develop scalable playbooks and guardrails, and serve as the primary legal partner for product initiatives. The role requires a versatile generalist who can navigate unfamiliar products and tech stacks, synthesize input from multiple legal disciplines, and thrive in a fast-paced, async environment. Applicants should have 8+ years of software/product counseling experience, a JD with bar license, a background in both law firm and in-house settings, strong writing skills, and familiarity with Atlassian tools is a plus.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Product Counsel team partners with R&D and product leaders to drive rapid, responsible product innovation in the AI era. The Director of Product Counsel will counsel product and engineering on AI, data governance, IP, and platform architectures, while creating repeatable playbooks and guardrails to help teams ship AI features with velocity and confidence. The role serves as the primary legal partner for product initiatives, collaborating with Privacy, IP, Commercial, and Regulatory teams to deliver cohesive, business-focused guidance and to mature the function with modern tools and async workflows. Requirements include 8+ years of software product counseling (preferably in B2B Enterprise SaaS), a JD with bar licensure, experience in both law firm and in-house settings, strong generalist skills, comfort with ambiguity, and the ability to simplify legal concepts for product teams; familiarity with Atlassian tools is a plus.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over personal priorities. The Product Counsel team is at the heart of Atlassian's mission to redefine teamwork, acting as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. As the Director of Product Counsel, you will counsel product and engineering on emerging AI, data governance, IP, and platform-architecture issues; pivot across products and tech stacks; design scalable AI playbooks, launch checklists, and guardrails; serve as the primary legal partner for product initiatives; and help mature the function with new processes and async tooling. The role requires 8+ years of experience counseling software products in B2B Enterprise SaaS, a JD licensed to practice, experience in both law firms and in-house teams, and a strong generalist skillset capable of understanding unfamiliar product surfaces, architectures, and business models, with comfort navigating ambiguity and novel AI/regulatory issues. You should be a simplifier with strong writing, adept at async collaboration and using modern technology, excited by fast-paced environments, and there are bonus points for familiarity with Atlassian tools.

Atlassian allows employees to choose where they work—office, home, or a hybrid—and hires across any country where the company has a legal entity. The Product Counsel team is central to Atlassian’s future of teamwork, acting as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. The Director of Product Counsel will navigate first-impression legal and regulatory issues in AI/ML, data governance, IP, and platform architectures, applying a versatile generalist approach across products and technical stacks. They will design repeatable AI playbooks, launch checklists, and scalable guardrails to help R&D ship AI features quickly and confidently, serving as the primary legal partner for product initiatives. Requirements include 8+ years counseling software products (preferably in B2B Enterprise SaaS), a JD licensed to practice, experience in both law firms and in-house teams, strong generalist product counseling skills, comfort with ambiguity and async collaboration, and a bonus for familiarity with Atlassian tools.

Atlassian offers flexible work options, including in-office, remote, or hybrid arrangements, and can hire from any country where it has a legal entity. Atlassian is building the future of teamwork and seeks a Director of Product Counsel who acts as a strategic partner embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. The role includes counseling product and engineering teams on emerging AI/ML legal and regulatory issues, data governance, IP, and platform architectures; defining a scalable AI-era playbook with repeatable frameworks and guardrails; acting as the primary legal partner and front door for product initiatives in collaboration with privacy, IP, regulatory, and commercial SMEs. It also involves shaping the Product Counsel function, maturing processes, experimenting with new ways of working, and leveraging modern async tools to scale impact. Required background includes 8+ years of legal experience counseling software products (preferably B2B Enterprise SaaS), a JD with a license, experience in both law firms and in-house teams, strong generalist product counseling, comfort with ambiguity, ability to understand unfamiliar architectures, excellent writing for async collaboration, and bonus points for familiarity with Atlassian tools.

- Atlassian supports flexible work arrangements—office, remote, or hybrid—to help employees balance family and personal goals. - They can hire people in any country where they have a legal entity. - The JSM Solution Sales Executive (SSE) team drives sales and adoption of the Service Collection portfolio, with Jira Service Management as the core data center ITSM solution (also sold to non-cloud customers). - The SSE is responsible for sales across strategic accounts in a geographic area, owning the JSM-specific sales cycle, generating pipeline, and closing high-value opportunities while prioritizing the transition from Data Center to Cloud. - Success requires collaboration with Solution Engineers, Partner Management, Marketing, and other go-to-market teams to build awareness, deliver exceptional service, create customer evangelists, and onboard new hires.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The JSM Solution Sales Executive (SSE) team specializes in selling and driving adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as the core data center ITSM solution also sold to non-cloud customers. The SSEs are responsible for sales across strategic accounts in a geographic area, owning the JSM-specific sales cycle and focusing on high-value opportunities (typically more than 201 agents or 500 seats) while generating pipeline and winning deals, including competitive replacements. They act as ITSM/ESM subject matter experts, collaborating with Core Account Executives, Solution Engineers, Partner Management, Marketing, and other go-to-market teams to drive awareness, pipeline, and customer success, with an emphasis on Cloud growth and transitioning customers from Data Center to Cloud. The role emphasizes exceptional service, building customer evangelists, a teaming mindset with peers, and supporting onboarding of new hires.

Atlassians can work in the office, from home, or a hybrid arrangement, giving them control to support family and personal goals, and the company hires people in any country where it has a legal entity. The JSM Solution Sales Executive (SSE) team focuses on driving sales and adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as Atlassian's core data center ITSM solution that will also be sold to non-cloud customers. The SSE is responsible for sales across strategic accounts in a geographic area, owning the sales cycle for Service Collection and JSM, with emphasis on high-value opportunities (typically >201 agents or >500 seats) and ensuring quality throughout the process. Key duties include acting as Subject Matter Experts in ITSM and ESM, generating pipeline, winning deals, and teaming with Core Account Executives while collaborating with Solution Engineers, Partner Management, Marketing, and other go-to-market teams to drive awareness, pipeline, and customer success. The role prioritizes cloud growth—transitioning customers from Data Center to Cloud—while building customer evangelists, delivering exceptional service to customers and internal stakeholders, and maintaining a teaming attitude to onboard and support new hires.

Atlassian supports flexible work arrangements—office, home, or a blend—and hires in any country with a legal entity to help employees support family and personal goals. The JSM Solution Sales Executive (SSE) team focuses on driving sales and adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as Atlassian’s core data center ITSM solution and also sold to non-cloud customers. The SSE will be responsible for sales across strategic accounts in a geographic area and will own the JSM-specific sales cycle, targeting high-value opportunities (typically >201 agents or >500 seats). Core duties include acting as Subject Matter Expert in ITSM/ESM, teaming with Core Account Executives, generating pipeline, leading competitive replacements, and co-selling with partners while collaborating with Solution Engineers, Partner Management, Marketing, and other GTM teams. The role emphasizes cloud growth by transitioning customers from Data Center to Cloud, building a robust pipeline, delivering exceptional service to customers and internal stakeholders, and fostering a collaborative culture that supports onboarding and developing new hires.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is investing in its largest, most strategic Public Sector customers and partners with 82% of the Fortune 500, including US Space Force, DoD, NASA, and more. The Account Management team aims to deepen relationships, drive retention, and enable value realization across Atlassian’s solutions, focusing on the most strategic FSI, DoD, and IC accounts. The role drives revenue growth through high retention, proactive expansion, and leading upsell, upgrade, and cross-sell efforts, collaborating with Global Sales for account planning and BoB growth. Key responsibilities include managing renewals and expansions, identifying growth opportunities, increasing product awareness, overseeing growth opportunity management, delivering end-to-end sales cycles, and ensuring accurate forecasting and project documentation.

Atlassian supports flexible work options, letting employees work in an office, from home, or in a hybrid arrangement to better support their family, personal goals, and other priorities. Atlassian hires in any country where it has a legal entity and is investing in its largest Public Sector customers, partnering with 82% of the Fortune 500 and with teams at the US Space Force, DoD, NASA, and more, through its Account Management team to deepen relationships and deliver value. The role focuses on our most strategic FSI, DoD, and IC customers, driving revenue growth by ensuring high retention, proactively pursuing expansion opportunities, and leading upsell, upgrade, and cross-sell efforts, in collaboration with the Global Sales Team. Account Managers are proactive, resilient, and empathetic, specialized in accelerating growth across Atlassian’s full suite of products and services. They accelerate revenue by leveraging existing customer footprints, drive best-in-class retention, develop senior and executive relationships, manage high-value renewals and expansions, identify growth opportunities, increase product awareness, oversee end-to-end sales cycles for cross-sell and up-sell, collaborate on account planning and market/whitespace analysis to drive BoB growth, maintain understanding of product updates and articulate improvements to customers and partners, and ensure accurate forecasting, opportunity hygiene, and project documentation.

Atlassian offers flexible work options—office, remote, or a mix—and hires people in any country where it has a legal entity to help employees balance family and personal goals. The company partners with 82% of the Fortune 500 and notable clients like IBM, Tesla, Dish, and Lufthansa, with the Account Management team focused on deepening relationships, solving complex challenges, and delivering value to drive retention and expansion in large Enterprise customers. The role will accelerate revenue growth by leveraging existing customer footprints to maximize expansion through a top-down, solution-oriented approach, while managing high-value renewals and expansions across Atlassian's product portfolio. It requires collaboration with the Global Sales Team and cross-functional partners for strategic account planning and driving growth across the total book of business, with a proactive, resilient, and empathetic approach. This LATAM-focused role requires full fluency in Spanish and includes increasing product awareness among customers, managing growth opportunities, leading end-to-end sales cycles for cross-sell and upsell, and ensuring accurate forecasting and up-to-date project documentation.

Atlassian allows employees to choose where they work—office, home, or a hybrid—giving them more control over personal priorities and family. The company hires in any country with a legal entity and is investing to win its largest, most strategic customers, partnering with 82% of the Fortune 500 and teams at IBM, Tesla, Dish, Lufthansa, and others. The Account Management team focuses on deepening customer relationships, solving complex challenges, and driving retention and expansion across Atlassian’s products and services for enterprise customers. The role covers the LATAM region and requires full fluency in Spanish, aiming to accelerate revenue growth through top-down, solution-oriented expansion, retention, and cross-sell/upsell in collaboration with the Global Sales Team. Key responsibilities include renewals and expansions, developing senior and executive relationships, managing end-to-end sales cycles, market and whitespace analysis for growth, staying current on product updates, and ensuring accurate forecasting and documentation.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control to balance family and personal goals. Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate, with customers ranging from Fortune 500 companies to NASA and Deutsche Bank relying on them to deliver quality results. The Mid-Market sales team manages a portfolio of about 40 accounts (200-10,000 seats) with a $2-4M annual quota, driving net new growth and expansion while advocating for customers to feed product feedback for a better experience. The role leads cross-functional deal teams, builds executive relationships, uses MEDDPICC to qualify and win complex opportunities, and closes multithreaded, multi-solution opportunities through outcome-based selling. Success depends on collaborating with channel, marketing, product, and customer success, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends and competitors, and occasionally traveling for customer meetings and events.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. Their agile, DevOps, ITSM, and work-management software—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, and are used by Fortune 500 companies and over 300,000 others (including NASA and Deutsche Bank). The Mid-Market sales team manages about 40 accounts (200–10,000 seats) with annual quotas of $2–4M, driving net-new growth and expansion while acting as a strong customer advocate to feed feedback to product and engineering. The role leads cross-functional deal teams, builds territory and account plans, and uses MEDDPICC and outcome-based selling to win complex opportunities, maintaining executive relationships across IT, business, sales, and marketing. It also collaborates with channel, product, and customer success teams to maximize satisfaction, handles pricing and contracting, maintains pipeline and forecasting, stays informed on industry trends, and travels occasionally for meetings and events.

Atlassian supports flexible work locations—office, home, or a mix—and hires globally where it has a legal entity, with a mission to unleash every team's potential using tools like Jira Software, Confluence, and Jira Service Management. The company’s customers include the Fortune 500 and over 300,000 other organizations worldwide, such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox, who rely on Atlassian to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages about 40 accounts (200-10,000 seats), targets a $2-4M annual quota, drives net-new growth and expansion, and acts as a strong advocate for customers by feeding feedback to product and engineering. In this role you lead a cross-functional deal team (SDR, SE, SSE, AM, partners), establish clear territory and account plans, and build executive relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and win complex opportunities. You’ll negotiate and price contracts, source and qualify leads, maintain a healthy pipeline with accurate forecasting, stay updated on industry trends, collaborate with channel, marketing, product, and customer success, and travel occasionally for meetings and events.

At Atlassian, employees can work from office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. Its agile, DevOps, IT service management, and work management software—including Jira Software, Confluence, and Jira Service Management—helps teams organize, discuss, and complete work and is used by Fortune 500 companies and organizations such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Account Executive, Mid Market team manages a portfolio of about 40 accounts with 200–10,000 seats, driving net-new growth and expansion across the full sales cycle. The role carries a quota of $2–4 million annually, requires leading cross-functional deal teams, developing named account or territory plans, and using MEDDPICC to qualify and win complex opportunities while building executive relationships. Responsibilities include sourcing and forecasting pipeline, collaborating with channel, marketing, product, and customer success, serving as the primary contact for designated accounts, staying aware of industry trends, and occasional travel for customer meetings and events.

Atlassian supports hybrid, remote, or in-office work and hires anywhere with a legal entity, and DX is headquartered in Salt Lake City, Utah—a fast-growing SaaS company that helps engineering leaders build high-performing, productive teams. DX collects millions of data points daily to power insights into developer productivity and experience for customers such as Pinterest, GitHub, BNY, and Xero, and has grown profitably, tripling its annual recurring revenue in recent years. DX recently closed on its acquisition by Atlassian, and joining Atlassian will expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, the core value is individual mastery and being the best at your craft, with those who demonstrate this quality thriving and being well rewarded, even though outcomes can be influenced by factors beyond control. The SDR role involves prospecting outbound and inbound leads, creating relationships and opportunities, delivering an extraordinary experience for software engineering leaders, learning personalized outreach, partnering with account executives and marketing, onboarding as an SDR, and representing DX at industry events, with opportunities to challenge yourself, own your work without micromanagement, level up skills and pay, and make a measurable impact on a company’s success.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. In the Senior Principal Forward Deployed Engineer (FDE) role, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and helping leading organizations leverage Atlassian’s AI capabilities. Key responsibilities include coding across the product suite, leading the design, development, and deployment of AI/ML-powered solutions using Rovo, architecting robust integrations with Python/JavaScript for APIs and enterprise-scale systems, and shaping product direction by solving customer papercuts. You’ll champion AI-augmented workflow automation, oversee end-to-end deployment into production with ongoing evaluation and improvement, navigate risk and compliance (AI risk assessment, GDPR), mentor senior FDEs and engineers, and communicate complex technical concepts to diverse stakeholders. This is a high-visibility, high-impact role in a fast-paced, ambiguous environment, requiring alignment of technical solutions with business objectives and a clear vision with measurable results.

Atlassian offers flexible work locations—office, home, or a hybrid—along with global hiring in any country where it has a legal entity, giving Atlassians more control over family and personal priorities. As a Senior Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and make a tangible impact on business outcomes. The role involves coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, and architecting robust integrations with Python or JavaScript for enterprise-scale systems. You’ll influence product direction through customer collaboration, champion AI-augmented workflow automation, oversee end-to-end production deployments, and navigate risk and compliance including GDPR. You’ll mentor other engineers, communicate complex technical concepts to diverse stakeholders, and align technical solutions with business objectives by setting a clear vision and measurable results.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role is a Strategic Sales Development Representative who partners with Enterprise Account Executives to build the sales pipeline for Atlassian’s largest customers, in close coordination with Sales Operations and Marketing. This position is accountable for meeting setting, outbound prospecting, conversion, quota attainment, feedback, and maintaining a customer-obsessed approach. It requires collaboration with enterprise sales, marketing, partners, and operations, plus strong, value-driven, personalized outreach via email, social, video, and calling to navigate objections and delight customers. You will develop the pipeline with Enterprise Account Executives and Enterprise Marketing, deeply understand the customer’s organization and goals to add value, and use sales technology such as SFDC, Gong, Outreach, and LinkedIn Navigator.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. - The Strategic Sales Development Representative partners with Enterprise Account Executives to build a sales pipeline for Atlassian’s most complex customers, in tight coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. - You will be accountable for meeting setting, outbound prospecting, quota attainment, feedback, and maintaining a customer-obsessed approach for large customers, collaborating with enterprise sales, marketing, partner, and operations teams. - You will prospect using value-driven messaging personalized to delight customers via email, social, video, and calling, and build the pipeline with Enterprise Account Executives and Enterprise Marketing teams. - You will develop an in-depth understanding of customers’ organizations, goals, and challenges to add value, and you enjoy using sales technology such as SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires people in any country where it has a legal entity. The role is hybrid and based in Salt Lake City, Utah, where DX, a fast-growing SaaS company focused on helping engineering leaders boost productivity, has been acquired by Atlassian and integrated. Because of the integration, the role requires four days per week onsite at the Salt Lake City office for the time being. DX emphasizes mastery and high performance, promising strong rewards for those who excel while acknowledging that outcomes depend on external factors beyond individual control. The position involves prospecting inbound and outbound leads, building relationships with software engineering leaders, delivering an exceptional experience, learning personalized outreach and social selling, and partnering with account executives and marketing to enable career growth, ownership, and measurable impact on the company’s success.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity, giving employees control over family, personal goals, and other priorities. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative AI-powered solutions and shape the future of AI-powered teamwork. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities, collaborating with product, engineering, and design to grow technical and domain expertise and drive tangible business outcomes. Responsibilities include leading the design, development, and deployment of AI/ML-powered solutions, architecting robust integrations with Python/JavaScript, driving data-driven insights, and overseeing end-to-end production deployment and continuous improvement, while promoting AI-augmented workflow automation. You’ll navigate AI risk assessment and data privacy/regulatory requirements (GDPR), mentor junior engineers, and communicate complex technical concepts clearly to technical and non-technical stakeholders, aligning technical progress with measurable business results.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and drive business outcomes. The FDE team collaborates with top organizations to help them leverage Atlassian’s AI capabilities, while you partner with product, engineering, and design to grow your technical and domain expertise and make a tangible impact. Responsibilities include leading the design, development, and deployment of AI/ML solutions, architecting robust integrations using Python or JavaScript with APIs and microservices, driving data-driven insights, promoting AI-augmented workflow automation, and overseeing end-to-end production deployment with ongoing evaluation. You’ll navigate AI risk and compliance (including data privacy and GDPR), mentor junior engineers, and communicate complex technical concepts clearly to stakeholders, aligning technical progress with business objectives and measurable results.

Atlassian offers flexible work arrangements—office, home, or a mix—and hires in any country where it has a legal entity to support employees' family and personal priorities. They are seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise business who will lead technical engagements in complex sales and demonstrate the value of Atlassian’s platforms. Responsibilities include partnering with cross-functional teams and partners for customer discovery, identifying cross-product opportunities, acting as a trusted technical advisor, delivering tailored value-based demonstrations, guiding the customer’s technical needs through the sales process, and capturing feedback and competitive intelligence for internal product teams. About you: 5+ years of enterprise pre-sales experience, fluent Spanish for the Iberia/Italy market, excellent communication and presentation skills, a customer-centric mindset, and the ability to build executive relationships and collaborate across business and technical audiences. You’ll join a globally distributed SE team that collaborates with sales to deliver an enterprise experience for Global 2000 customers, within a fast-paced, results-driven culture aligned with Atlassian’s core values.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity for this EMEA Iberia/Italy Enterprise Pre-sales Solutions Engineer role. The role leads technical engagement in complex sales cycles as a trusted pre-sales advisor, articulating the value of Atlassian software and mapping customer needs to the platform portfolio. You will partner with cross-functional teams and partners to conduct customer discovery, identify cross-product opportunities, understand pain points, tailor value-based demonstrations, and guide the customer to buy-in while feeding pipeline feedback to sales and product management. Requirements include 5+ years in enterprise pre-sales, excellent communication and multi-level presentation skills, fluency in Spanish, and a customer-centric, relationship-driven, technically versatile mindset. You’ll join a globally distributed SE team that works with Global 2000 companies, collaborating with sales to deliver an enterprise experience and operating in a culture focused on getting things done and Atlassian core values.

Atlassian offers flexible work locations (office, home, or hybrid) and hires anyone in a country where they have a legal entity. They’re looking for a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise team to lead technical engagements in complex sales cycles and demonstrate Atlassian solutions to solve enterprise problems. Responsibilities include partnering with cross-functional teams to discover customer needs, map them to Atlassian products, identify cross-product opportunities, serve as a trusted technical advisor, deliver value-based demos, and gather competitive intelligence to influence product direction. About You: 5+ years in enterprise pre-sales, fluent Spanish, strong communication and presentation skills, a customer-centric mindset with executive relationship capabilities, and comfort working across business and technical contexts while actively learning and collaborating. You’ll join a globally distributed SE team serving Global 2000 customers, working with sales to create an enterprise experience, in a culture described as a “get s#!% done” distributed team aligned with Atlassian’s core values.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where it has a legal entity to support employees’ priorities. They’re seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise team to lead technical engagement in complex sales and help solve customers’ hardest business problems. The role involves partnering with account teams and partners to discover customer needs, map them to Atlassian solutions, identify cross-product opportunities, and deliver tailored value-based demonstrations as a trusted technical advisor, while educating customers on how the software can transform their way of working. Requirements include 5+ years of enterprise pre-sales experience, strong communication and presentation skills, fluent Spanish, a customer-centric mindset, and the ability to operate across business and technical contexts while building executive relationships. You’ll join a globally distributed SE team that collaborates with sales to deliver an enterprise experience, aligning with Atlassian values and a culture of continuous learning and feedback.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally wherever they have a legal entity, with virtual interviews and onboarding as part of a distributed-first model. The Team Atlassian focuses on large strategic customers, partnering with 82% of the Fortune 500 and companies like IBM, Tesla, and Lufthansa to deliver value across our solutions. The Account Management team aims to deepen relationships, drive retention, and accelerate expansion across Atlassian's full portfolio, collaborating with the Sales team on strategic opportunities and account planning and reporting to the Manager of Strategic Account Management DACH & France. They seek a collaborative, adaptable professional with at least seven years of revenue-target experience, strong discovery skills, a customer advocacy mindset, and the ability to balance multiple sales opportunities while achieving targets. Responsibilities include accelerating revenue growth through top-down expansion, managing senior relationships and renewals, end-to-end growth cycles, white space analysis, keeping customers updated on product changes, forecasting, risk identification, and advocating for customer needs across functions.

Atlassian offers flexible work locations (office, home, or hybrid) with a distributed-first approach, hiring globally where they have a legal entity and conducting virtual interviews and onboarding. The Team Atlassian partners with 82% of the Fortune 500 and works with companies like IBM, Tesla, Dish, and Lufthansa, focusing on developing their largest, most strategic customers. The Account Management team aims to deepen relationships, solve complex challenges, and realize value across Atlassian’s solutions, guided by Atlassian’s values to refine the go-to-market model. The role is for proactive, empathetic account managers who own retention and accelerate expansion across a broad product portfolio, collaborating with Sales on strategic opportunities and reporting to the Manager, Strategic Account Management DACH & France. Responsibilities include accelerating revenue growth through top-down, solution-oriented expansion; managing high-value renewals and expansions; driving end-to-end growth opportunities; building senior relationships; increasing cross-sell/upsell opportunities; staying updated on product changes; forecasting the owned book; identifying risks and mitigating them, and advocating customer needs internally.

Atlassian offers flexible work options—office, home, or a hybrid—so employees can balance family and personal goals, and they hire in any country where they have a legal entity. The company serves over 236,000 customers worldwide, including NASA, Nike, Pixar, and Tesla; the Account Executive role in Japan focuses on expanding investments from large enterprise accounts. Account Executives are consultative, solution-oriented, and must understand the Enterprise Sales process to align with Atlassian’s model, acting as customer promoters who share experiences with product and engineering teams to improve the customer experience. Responsibilities include developing and implementing named account or territory plans to maximize expansion and customer success, maintaining full account ownership, and coordinating with Solution Engineers, Inside Sales, Channel, and Renewal teams to execute effective sales strategies. They also build relationships with internal stakeholders, Solution Partners, and customers while collaborating with Advisory Services and Renewals to understand technical initiatives, optimize customer health and retention, and maximize value.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. It is a software development innovator helping teams worldwide, including NASA, Nike, Pixar, and Tesla, through software and collaboration, serving over 236,000 customers. The Account Executive role will join the Japan team to help the largest customers scale their Atlassian investments and act as a promoter for customers by sharing experiences with product and engineering teams, in coordination with Channel Partners, Product Specialists, and Marketing. Responsibilities include developing and implementing named account or territory plans to maximize expansion opportunities and ensure a high bar of customer success, while maintaining full account ownership and coordinating with various roles for a seamless experience. The role requires partnering with Solution Engineers, Inside Sales, Channel, Renewal teams, and Advisory Service to understand technical initiatives and business outcomes, maximize customer health and retention with Renewals, and build productive relationships with internal stakeholders, Solution Partners, and key customers.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally, with interviews and onboarding conducted virtually as part of their distributed-first approach. - They are seeking a Senior Principal Backend Software Engineer to help turn the Jira Platform vision into reality by shaping platform capabilities, technical strategy, and engineering practices. - The Jira Data Management team focuses on data transfer and governance within Jira Cloud, enabling data movements like Data Center to Cloud, Cloud to Cloud, and External to Cloud, along with data-shape management for products such as Site Optimizer. - The JDM team consists of 50+ engineers, product managers, and designers, and their work directly impacts Atlassian’s cloud revenue while targeting reliability, scale, performance, and feature improvements for cloud offerings. - Responsibilities include owning the technical evolution and long-term architecture of Jira Data Management, leading large architectural initiatives across Jira Platform, defining a 12–24 month roadmap for shared primitives, raising standards for reliability, security, and observability, and providing hands-on leadership through design reviews, incident reviews, and mentoring.

Atlassians can choose where they work—office, home, or a hybrid model—with virtual interviews and onboarding, and Atlassian hires in any country where it has a legal entity. The company is seeking a Senior Principal Backend Software Engineer to help turn the Jira Platform vision into reality by shaping platform capabilities, technical strategy, and engineering practices that make Jira the system of record and control plane for enterprise-scale human and agent teamwork. The work is guided by three forces—AI transformation, enterprise readiness, and efficiency—to power the Jira Platform flywheel for scalable, secure, and productive cloud offerings. The Jira Data Management (JDM) team focuses on data transfer and management within Jira Cloud, enabling large-scale migrations (Data Center to Cloud, Cloud to Cloud, External to Cloud) and data-shape management for features like Site Optimizer, with a 50+ person team across engineers, product managers, and designers. Responsibilities include owning the long-term architecture of Jira Data Management, leading major Jira Platform initiatives, defining a 12–24 month roadmap for shared platform primitives, elevating reliability, performance, observability, security, and operational excellence, and providing hands-on technical leadership through design reviews, incident reviews, and mentoring senior staff.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. With over 250,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian aims to advance humanity through software that unlocks every team’s potential, and its team is value-driven, collaborative, and customer-focused. In this role, you will own a portfolio of enterprise and strategic customers, build executive relationships, and serve as a trusted advisor through onboarding, adoption, and value realization. You will proactively guide customer journeys using predictive signals and standardized frameworks to identify milestones, adoption opportunities, and risks, delivering value at scale through webinars, office hours, and curated outreach while staying current on product and industry trends and competitive activity. You will mitigate churn risk, champion customer advocacy as the voice of the customer to influence products and services, and maintain operational excellence by keeping Gainsight records and adhering to engagement frameworks.

Atlassian lets staff choose office, remote, or hybrid work to support family and personal goals. The company hires in any country where it has a legal entity. Atlassian serves over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, aiming to unleash the potential of every team through its software, with a value-driven, collaborative culture. In this role, you will own a portfolio of enterprise customers, build executive relationships, and act as a trusted advisor across onboarding, adoption, and value realization. You will guide customer journeys using predictive signals, deliver value at scale through webinars and outreach, stay current on products and industry trends, mitigate churn risk, advocate for customers, and maintain operational excellence with Gainsight and engagement frameworks.

- Atlassians can work anywhere—office, home, or a hybrid setup—and the company hires in any country where it has a legal entity. - The Senior Customer Success Architect (AI) role focuses on adopting Atlassian's AI platform, Rovo, leading time-boxed, co-built technical engagements that move customers from “Rovo is turned on” to real, measurable business value, and creating repeatable, scalable methodologies. - You’ll partner with enterprise teams on the most complex activations, build playbooks, run internal enablement, and maintain the relationship with the Rovo Product and Engineering teams. - The role blends deep AI and Atlassian platform expertise with customer success leadership, aiming for measurable adoption outcomes at both the engagement and program levels, and you lead through domain expertise and playbook ownership rather than direct reports. - Senior CSAs are technical experts who guide Pre-Sales, Post-Sales, and Product teams to drive value and adoption, help top promoters showcase successes, and expand AI and the Atlassian System of Work into new use cases and markets, ultimately helping enterprise customers maximize their Atlassian investment.

Atlassians can work in an office, from home, or a hybrid arrangement, giving them flexibility to support family, personal goals, and other priorities, and the company can hire in any country where it has a legal entity. The role is Senior Customer Success Architect (AI) in the Sales and Success department, focused on adopting Atlassian's AI platform, Rovo, by leading time-boxed, co-built engagements that move from “Rovo on” to real, measurable business value and by owning a repeatable, scalable engagement methodology. You’ll partner with enterprise teams on complex activations, build playbooks, run internal enablement, and maintain relationships with Rovo Product and Engineering, bridging deep AI and Atlassian platform expertise with customer success leadership. The Senior CSA (AI) reports to a regional leader and leads through domain expertise, playbook ownership, and internal enablement rather than direct reports, acting as a technical expert who guides value realization and adoption while collaborating with Pre-Sales, Post-Sales, and Product teams. You’ll help top promoters showcase their successes, expand the reach of AI and the Atlassian System of Work into new use cases and markets, and aim to maximize enterprise customers’ outcomes from their Atlassian investment.

Atlassian aims to reinvent the customer experience and has built a fast-growing, multi-billion-dollar business by converting free trials into happy customers. The Sales Operations Senior Analyst will work with Sales Ops teams, the sales field, and other supporting groups to optimize internal and external customer engagements. The role blends centralized scale with high-touch support, leading centralized ticket management, driving an optimized experience, and aligning with select SOM teams to champion specialized functions—especially in Low Touch—to boost SOM and field productivity. Primary goals include mastering centralized ticket resolution, ensuring SLA adherence, policy compliance, and data accuracy in systems of record; additional focus is on partnering to automate day-to-day operations for supporting teams. The ideal candidate is analytical, enjoys aggregating and automating large datasets, and will deliver operational analytics, identify bottlenecks, architect scalable solutions, and support broader Shared Services initiatives.

At Atlassian, the mission is to reinvent the customer experience, built on a multi-billion-dollar, fast-growing business by converting free trials into happy customers. The Sales Operations Senior Analyst will work directly with Sales Ops teams, the sales field, and other supporting organizations to optimize customer engagements, delivering centralized scale with high-touch support, leading centralized ticket requests, and aligning with select SOM teams (notably Low Touch) to boost SOM and field productivity. The primary goal is to master centralized ticket resolution, ensure compliance with published policies, meet SLAs, and maintain accurate data in systems of record; secondary is partnering with SOM teams to optimize and automate day-to-day operations for supporting teams. The ideal candidate thrives in a fast-paced SaaS environment, is analytically sharp, enjoys aggregating and automating large datasets, and can present insights clearly to leadership, with a passion for working with Sales Ops and ensuring data integrity. Responsibilities include being the first responder on centralized tickets and resolving within SLAs, identifying bottlenecks and architecting scalable solutions, delivering operational analytics to monitor performance, and supporting broader Shared Services initiatives and cross-functional GTM projects.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally where it has a legal entity; for this role in Australia, candidates can come from any location with sufficient timezone overlap. The role is Principal Product Manager for Goals & Projects, an individual contributor position owning a major product area across both apps from vision through launch, with AI transformation a key focus. Goals and Projects connect team work to organizational goals; both apps are included with every Atlassian cloud plan and appear across surfaces like Atlassian Home, Jira, Confluence, Rovo, Focus, and Talent, built in collaboration with the teams that own those surfaces. Responsibilities include setting the vision, strategy, and roadmap; driving the AI roadmap; shaping opportunities with prototypes; administering governance such as permissions, roles, and audit; running discovery with users and admins; and leading cross-functional execution. You’ll partner with go-to-market teams, measure usage/adoption/retention/satisfaction to steer the roadmap, influence product direction beyond your team, and mentor other product managers.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires anywhere with a legal entity, including Australia with sufficient time-zone overlap. The Goals & Projects team connects organizational goals to team work via the Goals app (objectives and progress) and the Projects app (work items and progress), both included with every Atlassian cloud plan and surfaced across Atlassian surfaces. As Principal Product Manager, you’ll own a major area spanning both apps, responsible for vision, strategy, roadmap, and AI-driven transformation to reach a broader customer base. You’ll set strategy, drive the AI roadmap, shape opportunities with prototypes, manage governance features, conduct discovery with users, and lead cross-functional execution while making critical rollout decisions. You’ll collaborate with go-to-market teams, measure performance, influence product direction beyond your team, and mentor other product managers.

Atlassian lets employees work from the office, from home, or in a hybrid setup, giving them flexibility to support family and personal goals, and hires people in any country where it has a legal entity. Atlassian serves over 236,000 customers worldwide, helping teams like NASA, Nike, Pixar, and Tesla through software and collaboration, and the Account Executive role will focus on the largest accounts in the Japan team to scale their investments. Account Executives are consultative, solution-oriented, and creative; they need to understand the Enterprise Sales process and adapt it to Atlassian's sales model. They develop and implement named account or territory plans to maximize expansion opportunities and ensure high levels of customer success, while maintaining full account ownership and coordinating with various roles for a seamless experience. They work closely with the Solution Engineer, Inside Sales, Channel, and Renewal teams, collaborate with Advisory Service, and build productive relationships with internal stakeholders, solution partners, and key customers to maximize health and retention.

Atlassian offers flexible work locations—office, home, or a hybrid—allowing employees to support family and personal goals, and they hire in any country with a legal entity. The company serves over 236,000 customers worldwide, including NASA, Nike, Pixar, and Tesla, and the Account Executive role joins the Japan team to help the largest accounts scale their Atlassian investments. Account Executives are consultative, solution-oriented, and strategic, responsible for building and implementing named account or territory plans to maximize expansion and ensure customer success. They collaborate with Solution Engineers, Inside Sales, Channel, Renewal teams, and Marketing to design and execute effective sales strategies across designated territories or accounts, while maximizing customer health and retention in coordination with the Advisory Service. They also cultivate productive relationships with internal Atlassian stakeholders, Solution Partners, and key customers, and apply their understanding of the Enterprise Sales process to fit Atlassian’s sales model.

Zendesk is seeking an Engineering Manager to lead a cross-functional team responsible for the end-to-end delivery of Zendesk’s Retrieval platform and AI-powered search/RAG products used by millions of customers. The role requires collaboration with ML scientists and engineers, Product Management, Architects, and other partners to ensure scalable, reliable deployment of search and ML-powered products while leveraging the latest AI-assisted tools. Responsibilities include guiding a team of experienced engineers through the full lifecycle, improving software delivery and service reliability, maintaining strong service levels, recruiting and onboarding new teammates, and fostering a diverse, inclusive environment with regular 1:1s focused on growth and well-being. Candidates should have experience managing people across multiple teams, delivering ML-powered or retrieval systems to production, excellent communication and prioritization skills, and a commitment to continual self-development; the tech stack includes Ruby, Python, AWS, RDS MySQL, Redis, S3, Elasticsearch, Kafka, Kubernetes, Docker, with Datadog and Sentry for monitoring. The role involves teams in Lisbon, Portugal and Krakow, Poland, with a Poland base salary range of zł324,000 to zł486,000 and potential bonuses, and Zendesk emphasizes hybrid work, equal opportunity and inclusion, as well as accommodations for applicants with disabilities, including AI screening where applicable.

Zendesk is hiring a Lead Product Designer for its AI Agents team to shape intuitive AI automation experiences across messaging, voice, and email and help businesses deliver better service at scale. You’ll lead end-to-end design from discovery to prototyping and iteration, translate complex agentic capabilities into simple configurable products, and establish reusable patterns and quality standards to ensure a consistent end-to-end AI Agents experience. You’ll collaborate closely with Product Managers, Engineers, Content Designers, and Researchers, and work primarily with teams in Germany, Portugal, Denmark, and Poland, with distributed teams in AMER and APAC. Requirements include 7+ years in product design for consumer or B2B SaaS, experience with generative AI/automation, strong design process and storytelling, a portfolio showing end-to-end impact, and the ability to operate in ambiguity and technical environments. The role offers ownership, flexible hours and remote work, a focus on growth and inclusion, and provides a Poland-based salary range of zł332,000 to zł498,000 with potential bonuses.

The role is based in Pune and requires night shifts aligned with AMER hours; as a Technical Account Manager at Zendesk, you’ll be an extension of large customers’ teams, blending technical expertise with business insight to maximize value from Zendesk solutions, guide on implementation methodologies, and create technical solutions to business problems, while partnering with clients and internal teams to navigate configurations, integrations, and architecture for CX transformation. Core responsibilities include establishing relationships across all client levels, documenting CX/EX ecosystems, developing and leading tailored Customer Technical Roadmaps, conducting regular operational reviews, orchestrating Zendesk resources to support implementations, creating critical issue resolution plans, advocating for customer needs with product teams, and collaborating with TAMs for continuous improvement and global delivery excellence. Required qualifications include 10+ years of technical experience (at least 5 in enterprise) with Zendesk product knowledge, a proven track record driving technical initiatives, experience in service management and CX/EX management, customer-facing technical leadership, strong cross-functional communication, SaaS implementations and API/workflow expertise, and deep understanding of at least one industry vertical. You’ll bring strategic vision to identify opportunities, translate business objectives into technical roadmaps, deliver measurable ROI, anticipate technology shifts, demonstrate leadership to align multiple stakeholders, and commit to continuous self-development and learning. Zendesk requires candidates to be physically located in Karnataka or Maharashtra, offers a hybrid working model, notes that AI or automated screening may be used, and emphasizes equal opportunity and inclusive hiring with accommodations for disabilities.

The Technical Architect, AI-Powered Customer Experience at Zendesk is responsible for designing, implementing, and scaling AI-first customer service solutions within Zendesk's AI-powered Resolution Platform and Professional Services. The overarching objective is to accelerate customers’ time-to-value by turning business goals into scalable architectures, leading discovery, defining scope, guiding implementation, and removing blockers to drive adoption and measurable impact. Key responsibilities include AI solution architecture, AI adoption enablement, outcome-oriented decision making tied to metrics, leading technical discovery sessions, acting as a trusted advisor on data readiness and integrations, and partnering with delivery teams while identifying opportunities to extend Zendesk via APIs and custom integrations. Required qualifications include 5+ years in architecture/ML/solutions architecture or technical consulting, production AI/ML experience, experience with AI-powered service tools and REST APIs, the ability to present to technical and executive audiences, English and German fluency, and a bachelor’s degree, with a hybrid work model offering time zone flexibility. Preferred qualifications include SaaS professional services experience, familiarity with Zendesk or other CX platforms, knowledge of CX AI concepts, PoC design, strong project management and negotiation skills, programming experience, and Zendesk Support Admin Certification, along with Zendesk’s commitment to diversity, inclusion, and accommodations for applicants.

The role is Head of Americas Technical Architecture for Zendesk Professional Services in Austin (hybrid), responsible for leading a team that designs, implements, and scales Zendesk solutions for enterprise customers and drives AI-enabled delivery and measurable business value. Key responsibilities include hiring and developing the Americas team, overseeing scoping and advisory engagements, managing portfolio delivery health and risks, building cross-functional alignment, and partnering with Product to shape capability and roadmap while advancing responsible AI practices and repeatable patterns. Basic qualifications include 8+ years in technical or solutions architecture or a related enterprise SaaS field, 3+ years of people management with distributed teams, experience delivering complex customer SaaS implementations, and strong analytical and stakeholder communication skills, with a bachelor’s degree or equivalent. Preferred qualifications include strong knowledge of Zendesk products and APIs, experience establishing architecture governance and reusable patterns, practical understanding of generative AI and AI-enabled workflows, and advanced degrees or relevant certifications. Compensation includes a US annualized OTE range of $166,000–$250,000 with a base/commission mix of 87/13, potential bonus or incentives, and Zendesk’s emphasis on hybrid work, diversity and inclusion, equal opportunity, and accommodations for applicants with disabilities.

Zendesk is seeking Incident Responders to triage, swarm with the right teams, and restore service in a fast-paced hybrid SRE environment across 70+ CIO-owned applications. You will participate in incident triage and restoration, join swarms with the Incident Commander and domain/platform teams, respond to on-call alerts and escalations, and maintain accurate incident records and PIRs to reduce MTTR. Required: 3+ years in Incident Management, SRE, NOC, IT Operations, or Service Desk escalation roles; experience with high-severity incidents; working knowledge of ITIL and incident tools such as Incident.I/O and PagerDuty; familiarity with SaaS integrations (Salesforce, NetSuite, CPQ) and strong collaboration skills. You will collaborate with Observability & Monitoring to improve detection and alert-driven incident creation, work with Service Desk on intake and escalation criteria, and support continuous improvement of incident response maturity. This position is based in Mexico City or Estado de Mexico, with a hybrid work arrangement, and Zendesk notes AI screening and a commitment to equal opportunity and accommodations.

Zendesk is hiring an AI Services Consultant in its Professional Services group to lead adoption of the AI-powered Resolution Platform and deliver quick time-to-value for customers. The role's mission is to provide technical solutions, act as a trusted advisor, guide complex configurations, and drive transformative business outcomes through effective integration and optimization of AI solutions. The overarching objective is to accelerate time-to-value by driving adoption and operational excellence, serving as the customer’s AI technical expert, and leading end-to-end delivery with clear scope and timelines. Responsibilities include providing technical guidance, facilitating change management and training, ensuring successful project delivery and high customer satisfaction, and collaborating cross-functionally to align AI roadmaps and remove blockers. Requirements include 3+ years in consulting or professional services, enterprise SaaS GTM experience, English fluency, knowledge of REST/JSON (Python preferred), experience with adoption analytics and outcome-driven roadmaps, a relevant degree, and a US base salary range of $106,000–$160,000 plus potential bonuses.

GitLab is an AI-powered, all-remote DevSecOps platform trusted by more than 50 million users and a large portion of the Fortune 100, with a high-performance culture that emphasizes AI-enabled productivity and continuous knowledge sharing. The Senior Manager, PubSec Renewal Team role is to build a predictable, customer-centered renewal business across Federal, State and Local, and Education accounts, leading Renewal Managers and partnering with Sales, Customer Success, Solutions Architecture, Finance, Legal, Deal Desk, Product, Operations, and channel partners. You’ll lead and coach Renewal Managers, own the PubSec renewal operating rhythm, improve forecast accuracy, manage renewal risks with documented plans, run weekly forecasts, and drive risk reviews and cross-functional action plans while refining playbooks, data, systems, and processes. Qualifications include proven experience in renewals or related B2B software functions, a track record of developing talent and achieving predictable retention and expansion, knowledge of subscription economics and procurement cycles, ability to use Salesforce and health metrics, experience with US Public Sector customers, and willingness to travel as needed. GitLab supports a fully remote, inclusive, AI-enabled workplace with benefits, equity, and growth opportunities, and the US salary range for this role is $120,400–$180,600, with location-based considerations and equal employment opportunity policies.

GitLab presents itself as the intelligent orchestration platform for DevSecOps, with 50 million registered users and Fortune 100 adoption, and a culture that treats AI as a core productivity multiplier where every voice is valued. The role is Senior Hyperscaler Operations Manager in Ecosystem Operations, combining governance of AWS and GCP partnerships with executing hyperscaler GTM, marketplace, co-sell, and funding initiatives as the operational architect. Responsibilities include designing and running end-to-end marketplace processes (private offers, CPPO/MCPO, third-party integrations), owning hyperscaler funding programs (SCA, MPOPP, MCCP), serving as an escalation point, and managing the hyperscaler tech stack (Salesforce, Tackle.io, PRM) while building AI agents to automate workflows. Requirements call for 6+ years in cloud marketplace operations, hands-on experience with Tackle.io or equivalent, deep knowledge of AWS/GCP marketplace mechanics and funding initiatives, plus strong cross-functional collaboration and automation experience in a remote-friendly environment. GitLab offers flexible PTO, equity and other benefits, with a US salary range of $104,800–$176,400 plus incentive pay for sales roles, and emphasizes equal opportunity hiring and remote, worldwide eligibility with location-based rules.

GitLab is an intelligent DevSecOps orchestration platform used by over 50 million users and trusted by more than half of the Fortune 100, with AI embedded as a core productivity multiplier across the company. The Senior Director, Revenue Analytics will lead a high-performing analytics team and partner with executive leadership to shape GitLab’s go-to-market strategy, customer experience, and revenue growth across the customer lifecycle. Key responsibilities include owning the analytics roadmap for sales, customer success, and professional services; building insights with AI tooling and BI; developing forecasting, pipeline, capacity, and predictive models; and creating customer lifecycle analytics to improve onboarding, adoption, churn, expansion, and NRR/GRR. The role requires establishing data governance, producing integrated executive reporting, and collaborating with Revenue Operations, Marketing, Finance, Product, and Enterprise Data & Analytics to turn business questions into actionable recommendations and to support a shift to a consumption-based model. Qualifications include experience leading analytics teams in SaaS, knowledge of B2B metrics and consumption-based models, strong data/AI/BI skills, and the U.S. base salary range of $203,200–$345,600, with comprehensive benefits and remote-work eligibility; GitLab is an equal opportunity employer that values inclusion and accommodation.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, efficiency, and security while accelerating digital transformation, with AI embedded as a core productivity multiplier in its culture. The role of Customer Success Operations Manager will own CS operational processes, reporting, and programs, report to the Senior Manager of Sales & CX Operations, and partner with Revenue Strategy & Operations, Finance, and Sales to scale the CS function. Responsibilities include managing CS cadences (pipeline and renewal reviews, health reporting, book of business), translating ambiguous business questions into actionable problems and delivering solutions through process or systems changes, and collaborating with Revenue Technology and Revenue Analytics; plus cross-functional alignment with Sales and Finance, identifying friction, leading end-to-end improvements, and supporting planning cycles like capacity modeling and territory planning. Qualifications require 4+ years in Sales Ops, Revenue Ops, consulting, or similar analytical roles, strong critical thinking and problem-solving, bias toward execution, systems thinking, cross-functional collaboration, curiosity, and comfort operating in scaling environments. The role is part of the Sales & CX Operations team within Revenue Operations, with remote, global hiring and a focus on equal opportunity, offering benefits, equity, and a base US salary range of $104,800–$176,400 plus incentives up to 100% of base, along with location-based eligibility considerations and a Recruitment Privacy Policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and Fortune 100 adoption, while embedding AI as a core productivity multiplier in its culture. The Senior Analyst, Sales Strategy - Americas will shape GitLab’s go-to-market strategy by turning analysis into strategic recommendations, partnering with regional sales leaders on forecasting and pipeline analysis, and supporting end-to-end planning, quota setting, and executive-ready materials for the CRO and sales leadership. Candidates should have progressive experience in analytics or strategic roles in technology, a track record of leading strategic initiatives, proficiency in SQL, Salesforce, and Tableau or similar BI tools, comfort using AI tools to scale analysis, and strong communication and project-management skills; a consulting background and B2B SaaS experience are a plus. The role focuses on Americas direct sales, with a US base salary range of $115,200–$194,400 and incentive pay up to 100% of base, plus benefits such as flexible PTO, equity, parental leave, ERGs, and growth funds. GitLab is an equal opportunity employer with remote roles worldwide, encourages applications from diverse backgrounds, provides accommodations on request, and outlines country hiring guidelines and a recruitment privacy policy.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million users and many Fortune 100 customers, and it embeds AI as a core productivity multiplier in its high-performance, values-driven culture. The Engagement Manager is a sales overlay and trusted advisor responsible for driving adoption of high-value GitLab functionality, guiding customers toward positive business outcomes, and ensuring the highest levels of customer satisfaction. Key duties include discovery, identifying standard and custom services, building custom service engagement proposals, explaining technical solutions and commercial terms, guiding legal agreements, coaching Account Executives, coordinating staffing, handling objections, forecasting bookings, and communicating risks and customer trends to leadership, with French language being essential. GitLab supports employees with flexible PTO, equity compensation and an employee stock purchase plan, a growth and development fund, parental leave, and home-office support, while encouraging applications from candidates with varying levels of experience and from underrepresented groups. Country hiring guidelines note that roles are remote and global but may have location-based eligibility, and GitLab maintains an equal opportunity, non-discrimination policy with a Recruitment Privacy Policy and offers accommodations for disabilities during the recruiting process.

GitLab is the intelligent orchestration platform for DevSecOps, enabling organizations to boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with 50M+ registered users and trust from over half of the Fortune 100, all while embedding AI as a core productivity multiplier in its culture. The role is Chief of Staff to the CRO, a strategic partner who drives operational excellence and orchestrates high-impact CRO initiatives, including direct ownership of the Communications lead and the CRO Initiatives Program Manager. Responsibilities include advising the CRO on strategy, leading leadership operations and planning cycles, triaging escalations, preparing account and board materials, coordinating cross-functional initiatives, and maintaining partnerships with executives across the organization. Requirements encompass 8-12 years in strategic roles at high-growth technology firms, executive presence with experience engaging Board and C-Suite leaders, strong analytics and CRM/BI skills, a track record of building scalable processes, and excellent communication, with willingness to travel as needed. The GitLab Revenue Team is fully distributed and async-first, spanning Sales, Customer Success, Sales Strategy & Analytics, Field Operations, and Partners, with remote-friendly benefits, growth opportunities, and a strong commitment to equal opportunity and accommodations.

Sentry helps developers fix errors and performance issues at speed, trusted by over 200,000 organizations, and is building an AI-native future with a Mobile SDK team that processes over a billion events per day, now seeking a Senior iOS SDK Engineer. The role owns the iOS SDK from core architecture to final product, pioneering features like Session Replay and next-generation performance monitoring, while leveraging Apple’s latest innovations such as modern concurrency and on-device AI, and shaping Sentry’s mobile strategy. You’ll love the role if you’re passionate about craft, enjoy building elegant tools for developers, and want to contribute to a major open-source project in a collaborative, excellence-driven environment with real impact. Qualifications include 5+ years as a software engineer focused on mobile, strong iOS development with Swift and Objective-C, solid mobile architecture knowledge, experience with AI-powered development tools, English communication, and willingness to relocate to Vienna or live in the area; bonus points for app monitoring/observability, C/C++, open-source contributions, and experience with other mobile platforms. The posting notes a legally required minimum wage of EUR 60,844 gross per year under IT-KV, with Sentry offering compensation above IT-KV and a comprehensive benefits package, along with equal opportunity and accommodations for applicants and employees and details in the Applicant Privacy Policy.

SmartBear delivers application integrity for modern tech stacks, providing deep test automation, API lifecycle management, and observability with governance to operate at AI speed and scale across the SDLC. It serves 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, and its open-source tools are downloaded about 100 million times per month with 30,000+ GitHub stars. With brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr, SmartBear meets customers where they are to improve the technology-driven world. The posting is for a Sales Development Representative in Somerville, MA, focusing on inbound and outbound prospecting, high-volume outreach, and pipeline generation, with mentorship and potential promotion to Account Executive within roughly 12 months. Candidates should have 1–2 years in customer-facing roles, be local to Somerville, MA, and SmartBear emphasizes an inclusive culture, equal opportunity employment, strong growth opportunities, and a total rewards package including a base salary of $60,000–$70,000 plus on-target commission, competitive benefits, and hybrid work options.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC to ensure software works as intended. It is trusted by 32,000 organizations—including 75% of the largest financial institutions—with customers like Adobe, JetBlue, and Microsoft; its open-source tools are downloaded over 100 million times monthly and have more than 30,000 GitHub stars, with brands such as Swagger, TestComplete, Reflect, QMetry, and Zephyr. Learn more at smartbear.com or follow the company on LinkedIn, X, and Reddit, as SmartBear promotes a mission to improve the technology-driven world and values transparency, inclusivity, and social responsibility. The company is seeking a hybrid People & Culture Operations Partner in Somerville, MA, responsible for benefits, payroll support, leaves of absence, investigations, performance management, employee engagement, compliance, immigration, reporting, and coordinating with global P&C teams across Galway, Bath, Wrocław, and Bangalore. Requirements include 3–5+ years in HR roles, strong compliance and employee-relations skills, excellent communication, a self-starter mindset, organizational and analytical abilities, HRIS/payroll experience (BambooHR/ADP preferred), and an AI-savvy approach; the role offers a base salary range of $94,500–$110,000 USD with potential bonuses and a broader total rewards package, within an equal-opportunity, hybrid work culture.

GitLab markets itself as an intelligent DevSecOps orchestration platform with over 50 million users and trust from more than half of the Fortune 100, and it embeds AI as a core productivity multiplier in its culture. Its Enablement & AI organization partners across multiple departments to create scalable programs that boost field productivity and deliver better customer outcomes, specifically targeting Public Sector across Federal, State, Local, and Education markets. The role entails developing and leading PubSec sales enablement programs, creating content and training tailored to federal, state, local, and education buying cycles, and coordinating with leaders and SMEs to support product launches and campaigns. Requirements include progressive SaaS or software sales enablement experience with PubSec/Federal exposure, knowledge of procurement and compliance (e.g., FedRAMP), strong communication and change-management skills, and willingness to travel as needed. GitLab offers flexible PTO, equity and stock purchase plans, growth funds, parental leave, remote-friendly hiring with global eligibility, and a US salary range of $139,000–$220,000, along with a commitment to equal opportunity and a recruitment privacy policy.

Atlassian offers flexible work locations (office, home, or hybrid) and hires anyone where it has a legal entity, including the possibility of hiring in Australia and New Zealand with sufficient timezone overlap. They are seeking a Principal Backend Software Engineer to focus on delivering creative improvements for engineering teams. The team aims to build a world-class engineering organization as part of a 100-year company, empowering teams with the tools and infrastructure to do their best work. Engineering at Atlassian prioritizes AI initiatives and helping customers transition to the cloud, while delivering ongoing value through Jira, Confluence, Trello, and Bitbucket. Responsibilities include tackling the largest and most complex problems, delivering cross-team solutions, planning large projects, addressing architecture challenges, leading code reviews and documentation, managing high-risk bug fixes, setting standards, collaborating on company-wide initiatives, and mentoring junior engineers.

Atlassian offers flexible work arrangements, allowing office, remote, or hybrid work to support employees’ personal goals and priorities. They can hire in any country with a legal entity, and for this role there can be eligibility from any location in Australia and New Zealand given sufficient timezone overlap with the team. They are seeking a Principal Backend Software Engineer focused on delivering creative improvements for engineering teams. The role sits within a world-class, AI- and cloud-focused engineering organization that supports Jira, Confluence, Trello, and Bitbucket, with collaboration as a core value. Responsibilities include tackling the largest and most complex problems, delivering cross-team solutions, leading architectural efforts and code reviews, fixing high-risk bugs, setting standards, partnering on company-wide initiatives, transferring knowledge across languages, and mentoring junior engineers.

Atlassian offers flexible work options (office, home, or hybrid) and can hire anywhere with a legal entity, including from any location in Australia and New Zealand if there is sufficient timezone overlap. They are hiring a Principal Backend Software Engineer to deliver creative improvements for engineering teams. The role sits within Atlassian’s vision of a 100-year company with a world-class, empowered engineering organization, focused on AI, cloud adoption, and delivering value through Jira, Confluence, Trello, and Bitbucket. Responsibilities include tackling the largest and most complex problems from design to launch, delivering cross-team solutions, planning large projects, addressing architecture challenges, applying standards, leading code reviews and documentation, fixing high-risk bugs, and partnering on company-wide initiatives across multiple projects. You will also transfer your depth of knowledge from your current language to excel as a software engineer and mentor junior teammates.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where there’s a legal entity, giving employees more control over family, personal goals, and priorities. They’re hiring a Pre-Sales Solutions Engineer for the Mid-Market business who acts as a solution expert in the sales cycle, solves enterprise customer problems with Atlassian products, and helps close enterprise deals, with LATAM coverage requiring full Portuguese fluency. With over 250,000 customers worldwide, Atlassian serves organizations like NASA, IBM, HubSpot, Samsung, and Coca-Cola, focusing on value selling and showing how products combine to transform outcomes, fueled by a culture of teamwork where employees work with Atlassian, not for Atlassian. The role involves partnering with direct sales, partners, and larger account teams on Mid-Market Accounts, conducting customer discovery, mapping business problems to Atlassian solutions, and identifying cross-product opportunities, then leading value-based demonstrations. Other duties include understanding customers’ technical needs to gain buy-in, forging strong partnerships with account executives, documenting product feedback and competitive intelligence for internal product management, and continuously learning to refine pre-sales knowledge and processes.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is hiring a Mid-Market Pre-Sales Solutions Engineer for LATAM, requiring full Portuguese fluency, to be a solution expert and help close enterprise deals using value-based selling. The role involves partnering with direct sales, partners, and larger account teams to manage customer profiles, business problems, roadmaps, and solution success within the account territory, starting with customer discovery. You will identify cross-product opportunities, demonstrate Atlassian's products, tailor demos to multiple stakeholders, and guide the customer's technical needs to gain buy-in. You’ll also gather product feedback and competitive intelligence for product management and continuously learn and refine pre-sales, product, and platform knowledge.

Atlassian offers flexible work locations and hires globally wherever they have a legal entity, serving over 250,000 customers worldwide. They’re hiring a Pre-Sales Solutions Engineer for Mid-Market who will be a solution expert in the sales cycle, helping solve enterprise customers’ hardest problems and close deals, with LATAM coverage requiring fluent Portuguese. The role is part of the Solutions Engineering Core Team and involves partnering with direct sales, partners, and larger account teams to map customer profiles, business problems, roadmaps, and solution success, and to identify cross-product opportunities. Responsibilities include conducting customer discovery, understanding current state, articulating Atlassian’s value, and delivering compelling value-based demonstrations to guide customers’ technical needs and gain buy-in. The role also requires ongoing collaboration with account executives, tracking pipeline, sharing product feedback and competitive intelligence with product management, and continuous learning to refine pre-sales and product knowledge.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control to support family and personal goals. The company is seeking a Pre-Sales Solutions Engineer for the Mid-Market business, focused on solving enterprise customer problems with Atlassian products to help close deals, with LATAM coverage requiring full Portuguese fluency. Atlassian counts NASA, IBM, HubSpot, Samsung, Coca-Cola among its customers, emphasizes value selling, and cultivates a team-oriented culture with high earnings potential as enterprise opportunities grow. The role involves partnering with direct sales, partners, and larger account teams to track customer profiles, problems, roadmaps, and solution success; performing customer discovery; identifying cross-product opportunities; and leading compelling value-based demos across multiple stakeholders. Additional responsibilities include understanding customer technical needs to gain buy-in, forging strong partnerships with account executives, documenting product feedback and competitive intelligence, and continuously learning to refine pre-sales and product knowledge and processes.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - Its Future Org internship program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to prepare students for impactful careers. - The internship role is located in Seattle, WA or San Francisco, CA, and applicants must be willing to work there; F1/J1 sponsorship is not available. - The paid 12-week program runs May/June through August/September 2027, and interns will be part of a development team, making code changes with direct product impact from day one. - Interns will join a unified R&D team focused on cloud migration while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. The internship role is based in Seattle, WA or San Francisco, CA, is not eligible for F1/J1 sponsorship, and runs for 12 weeks from May/June to August/September 2027 as a paid program. From day one, interns join a development team, are trusted to modify code that directly impacts products, and work under Senior Engineers to gain full lifecycle product development experience. The program sits within a unified R&D Engineering effort focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket.