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1) Atlassian offers flexible work locations, allowing office, remote, or hybrid arrangements to support personal goals and priorities, and hires in any country where they have a legal entity. 2) This is a remote position and not eligible for visa sponsorship; the company does not offer work visa sponsorship at this time. 3) Sales Development Representatives partner with the Sales and Success Account Teams to build the sales pipeline while ensuring a delightful customer experience. 4) You will report to a Sales Development Manager and be accountable for meeting setting, outbound prospecting, conversion, quota, and activity metrics, as well as navigating objections with value-driven messaging and crafting relevant emails and video prospecting. 5) You will build the pipeline in partnership with Sales and Success Account Teams, using tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible, distributed work with virtual interviews and onboarding, and hires globally where they have a legal entity. Founded in 2002 in Australia, Atlassian is a global leader with 300,000 customers (including 80% of the Fortune 500) and aims to unleash every team's potential by blending human work with AI through solutions like Rovo and the Teamwork Graph as it becomes an AI-led enterprise. The role is Principal Solutions Engineer for LATAM within the Enterprise Sales team, positioned in a growth phase to scale enterprise revenue, with a culture that emphasizes collaboration and strong earnings potential from cutting-edge AI-powered products. Responsibilities include strategic partnerships with account teams and channel partners to manage Fortune 500 and large LATAM accounts, optimize roadmaps and success, and lead Spanish-language technical engagements and demonstrations of Atlassian’s AI capabilities and the System of Work. The role also encompasses value discovery, cross-functional influence with Account Executives and Product Management, and ongoing innovation through ShipIt and AI School to stay at the forefront of technology.

Atlassian’s mission is to unleash the potential of every team through open work, with DX helping customers achieve engineering transformation using its platform. As a Customer Success Manager, you’ll manage an important segment from implementation and rollout through renewal, focusing on product utilization, business alignment, and high-value use cases. Atlassians can work anywhere—office, home, or a hybrid arrangement—and the company hires in any country where it has a legal entity. You’ll join a collaborative CSM team reporting to the Manager of Commercial Customer Success, aiming to drive real change for customers and become a product expert and master of the customer success process. Responsibilities include owning the full lifecycle, creating a customer success plan, meeting renewal and expansion targets, forecasting renewals, identifying renewal risks, leading executive discussions, exploring expansion opportunities, collaborating across functions, and tracking key metrics to measure success.

Atlassian offers flexibility in where you work—office, home, or hybrid—and conducts interviews and onboarding virtually as a distributed-first company, hiring in any country where it has a legal entity. Founded in Australia in 2002, Atlassian is a global leader in team collaboration with over 300,000 customers, including 80% of the Fortune 500, and its mission is to unleash the potential of every team; it envisions the future of teamwork as a partnership between humans and AI, demonstrated by Rovo and the Teamwork Graph. As part of transforming into an AI-led enterprise tech company, Atlassian is recruiting top talent to help shape what’s next, with the Enterprise Sales organization in a pivotal growth phase and a goal to scale enterprise revenue from one-third to two-thirds of total revenue. In LATAM, the Principal Solutions Engineer will partner with account teams and channel partners to manage Fortune 500 and large enterprise accounts, leading Spanish-language engagements, discovery, and customized demonstrations of Atlassian’s AI-powered System of Work and Teamwork Graph. The role emphasizes cross-functional influence, solution architecture, continuous innovation through rituals like ShipIt and AI School, and thrives on collaboration under the value “Play, as a team,” with high earnings potential from the expanding enterprise opportunity.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments to trust Atlassian Cloud products, and the team is rapidly growing. As a Senior Manager, you will drive growth and expansion of how Atlassian earns and maintains customer trust, oversee the team’s interactions with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, and lead improvements to processes, tooling, and customer engagement. You will provide leadership for an AMER-based team, contribute to strategic planning with senior leadership, drive cross-functional initiatives, manage strategic/enterprise customer escalations, and support executive briefings and legal negotiations. Requirements include 10+ years in security/GRC management, leadership experience, ability to influence cross-functional teams, experience scaling trust programs, familiarity with AI tools and AI security/compliance considerations, ability to brief executives, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience in regulatory compliance, privacy, and cloud security in large-scale enterprise cloud.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role is an enterprise solution seller focused on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. Responsibilities include exceeding Enterprise Strategy & Planning bookings and OKRs, developing strategic plans for Land & Expand across AMER/APAC, negotiating and closing six- to seven-figure SaaS transactions, building strong CXO relationships, and partnering with Account Executives, Solution Engineers, Advisory Services, SDRs, and Channel partners to drive pipeline. The candidate will present sales, revenue, and expense forecasts to management and identify emerging markets and competitive status. Qualifications require 12+ years of enterprise cloud software sales, expertise in Strategic Portfolio Management, PPM, ERP, or CRM, a proven track record of meeting targets, CXO relationship leadership, closing complex enterprise SaaS transactions, a collaborative mindset, and a BS/MS in business or IT.

Atlassian offers flexible work locations and global hiring in countries where it has a legal entity, allowing employees to balance family and personal priorities. Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. TDP SQL is the managed relational database platform that enables engineers to build applications on relational databases without managing underlying infrastructure, availability, security, scaling, or enterprise controls themselves. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, responsible for the team’s people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, incident response, and compliance; guiding architectural direction across clouds; managing cross-functional dependencies and cost; and delivering measurable outcomes with emphasis on platform adoption and enterprise requirements.

At Atlassian, employees can work flexibly and the company hires globally where it has a legal entity, while seeking a Principal Sales Solutions Engineer, Strategic to drive enterprise deals by being a product expert and solving customers’ hardest business problems. The role sits within a Solutions Engineering Team that partners with the Enterprise Sales Team and Channel Partners to deliver value-based solutions and proofs of value, guided by a “play as a team” culture where employees work with Atlassian, not for it. The candidate will engage with C-level executives in large, multi-million-dollar accounts, conduct customer discovery, map business problems to Atlassian products, identify cross-sell opportunities, and lead compelling value-based demonstrations. They must maintain broad knowledge of Atlassian’s full product suite, orchestrate cross-functional teams to support the customer, and collect product feedback and competitive intelligence for internal use. Qualifications include 8+ years of pre-sales experience with Fortune 100 customers, strong communication and executive presence, adaptability, creative problem-solving, and a growth mindset focused on customer and company success.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires people in any country where they have a legal entity. The role leads high-impact incident response in a complex cloud environment, coordinates across multiple teams, directly manages a US-based team of 5–8, and drives investigation, containment, recovery, and follow-through with strong executive communication. Responsibilities include improving the incident response program through playbooks, metrics, exercises, post-incident reviews, and tooling, while driving the adoption of investigative AI tools and automation, including in regulated environments. The ideal candidate has proven multi-stakeholder incident leadership in SaaS/cloud/enterprise settings, strong executive communication, experience building metrics-driven programs, hands-on detection/response and log analysis, and familiarity with deploying AI in security operations plus strong systems thinking. The team culture emphasizes calm execution, blameless reviews, collaboration, psychological safety, and continuous learning, offering a rare opportunity to shape Atlassian’s security response, advance AI-enabled security operations, and partner with senior leaders to improve outcomes for customers.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Senior Manager role is focused on building and maturing the Government Cloud platform components and guiding end-to-end release processes toward operator-approved releases. Responsibilities include owning release planning, go/no-go criteria, readiness, cutover, rollback, incident escalation, and managing a cross-team release calendar; you will also define what “ready to ship” means and serve as the escalation point for major launches. The role also involves leading a 10-15 person software engineering team, setting strategy and career development, and driving a multi-quarter roadmap that reduces release risk and cycle time using trunk-based development, feature flags, progressive rollout, canaries, automated release gates, and one-click rollback. You’ll partner with multiple functions (Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, Legal/Compliance) to align release and launch readiness, run blameless post-release reviews, and ensure compliance and auditability with standards like SOC 2, ISO 27001, FedRAMP, PCI, or SOX.

Atlassian enables flexible work locations and hires globally wherever it has a legal entity. They’re seeking a Sales Leader to oversee a team of Teamwork Collection Specialists and devise enterprise-focused sales strategies that highlight Teamwork Collection, Loom, and Rovo alongside Jira and Confluence to meet aggressive revenue targets. The role involves collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales processes, drive value propositions, and elevate customer satisfaction. Responsibilities include recruiting and developing a high-performance sales team, setting goals, mentoring and coaching, onboarding new members, analyzing sales data and market trends, performing evaluations, and providing regular updates to senior management. It also requires nurturing relationships with Enterprise and Strategic clients and peer leaders, staying informed about industry trends and competition, and applying knowledge of organizational teamwork workflows with an emphasis on Software Delivery and the evolving role of AI in these segments.

Atlassian offers flexible work locations and hires people in any country where they have a legal entity. The role is a non-managerial CSA (AI) within the Customer Success Architect team, focused on adopting Atlassian's AI platform, Rovo, by executing time-boxed, co-built engagements that translate into measurable business value. The CSA will partner with enterprise teams to discover high-impact AI use cases, design and build custom Rovo agents, configure third-party connectors, and deploy working solutions into production workflows, bridging AI expertise with customer success. Core activities include discovery, design, deployment, collaboration with Account Teams and CSMs, and advocacy with Product/Engineering to improve adoption, with travel up to 15%. Candidates should have 3-5 years in Customer Success or enterprise account management, strong technical aptitude with AI platforms and Atlassian tools, experience building AI agents and integrations, knowledge of enterprise workflows, and excellent communication to translate AI capabilities into business outcomes.

Zendesk is hiring a Vice President, Total Rewards to lead global compensation, benefits, accommodations and HR compliance, defining a holistic total rewards strategy and modernizing delivery with analytics, automation and AI while briefing executive leadership and the Board as needed. The role serves as the enterprise owner of Total Rewards standards, responsible for global policy, program design, compliance posture, and a scalable roadmap, and acts as an executive advisor on people risk, pay strategy, and program impact with board-facing materials. Key duties include designing competitive compensation, equity and benefits programs (base, variable, sales comp), partnering with executives on executive compensation, and driving AI-enabled automation to surface pay equity insights, model scenario impacts, and simplify operations. Requirements include 12+ years of HR experience with deep Total Rewards and executive compensation, 7+ years in senior/global leadership, global SaaS/technology experience, proficiency with HR analytics and automation, and strong cross-functional collaboration and board communication; preferred experience with SaaS/AI, Workday, and global equity or sales compensation programs, along with AI literacy and governance capabilities. The US base salary ranges $283,000–$425,000 with potential bonus/benefits; Zendesk promotes hybrid work, diversity and inclusion, and informs applicants that AI or automated decision systems may screen applications, while accommodations are available for applicants with disabilities.

At Atlassian, you can work in an office, from home, or a hybrid setup, and the company hires globally wherever it has a legal entity to support personal priorities and impact millions of users. The Senior Solution Consultant with a Strategy Collection focus is an individual-contributor role within the globally distributed Advisory Services Delivery team, providing expert Atlassian guidance to large strategic and enterprise customers. Responsibilities include aligning on strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, collaborating with cross-functional teams, and traveling up to 30% domestically or internationally. The ideal candidate has 6–8 years in SaaS with 5+ years in customer-facing roles, deep Enterprise Agile expertise, the ability to map customer operations to product capabilities, experience delivering enterprise strategy and planning tools (e.g., Strategy Collection, Rally, RTC, ADO, VersionOne) and AI integrations (Rovo, Agentic AI, MCP), and fluent English (additional languages like Spanish, French, or Portuguese are a plus). Atlassian emphasizes perks like time off, an education budget, and volunteer days, and maintains a diverse, inclusive culture with non-discrimination and confidentiality in line with EEO guidelines, with more details available in the Candidate Resource Hub.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, and is seeking a Principal Technical Program Manager to lead highly-prioritized, complex programs for the Developer Infrastructure & Productivity teams as a senior individual contributor with department- and portfolio-level scope. The role requires turning ambiguous business and technical problems into aligned strategies, bringing senior leaders across Product, Engineering, Design, R&D, Finance, Legal, Security, IT, and Transformation into agreement, and establishing operating mechanisms that translate strategy into measurable outcomes. You will define a long-term strategy and roadmap for platform and product components, translate business objectives into technical problems to be solved now, and define specific systems programs such as capacity planning, migrations, high availability, network architecture, performance, and reliability improvements, partnering with engineers and architects to make progress. You are expected to manage the entire lifecycle of these programs—from initiation to forecasting, budgeting, and scheduling—while handling complex dependencies and delivering outcomes across the company, using a systematic approach to prioritization and scoping. Minimum qualifications include 8+ years on software teams as Development Manager or TPM, strategic and technical fluency with a willingness to develop domain expertise (storage, networking, authentication, capacity management, service deployments), and the ability to define and run end-to-end technical programs, while preferred qualifications include a B.S. in Software Engineering, Computer Science, or a related discipline.

Atlassian offers flexible work options and hires globally where it has a legal entity. They seek a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing pipelines to monitor data drift among systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves designing, building, and maintaining data infrastructure for quality, consistency, and accessibility, and leading the development of data products and an AI context layer to scale analytics. Responsibilities include building canonical datasets with high-volume ETL/ELT pipelines using data lakes and warehouses, partnering with finance and other teams to flag data inconsistencies affecting the close, and performing sizing analyses for infrastructure changes with impact analyses. The position also requires owning core system data transformations from requirements to UAT to deployment, leveraging tools to improve efficiency and reduce manual work, and conducting UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. Atlassian’s software helps teams manage work, with products like Jira Software, Confluence, and Jira Service Management, and is trusted by the Fortune 500 and many other companies. The Mid-Market sales team focuses on mid-sized customers, pursuing cloud-first opportunities, cross-sell and expansion, achieving revenue targets, and acting as a customer advocate by feeding feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The LATAM role requires full Portuguese fluency, owning ~40 accounts with a $2-4M annual quota, leading cross-functional deal teams, building executive relationships, and using MEDDPICC to qualify and win complex opportunities. Additional responsibilities include collaborating with internal teams to maximize customer satisfaction, negotiating and pricing contracts, sourcing leads, providing accurate forecasts, staying updated on industry trends, and occasional travel for meetings and events.

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires people in any country where they have a legal entity. The Central AI Org is dedicated to driving AI innovation across Atlassian products, delivering seamless AI experiences and building a centralized AI infrastructure (Search, Q&A, and Conversational AI) while exploring external AI integrations. The AI & ML Platform Team aims to democratize AI and ML for Atlassian's teams, customers, and ecosystem by providing 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 end-to-end large-scale model serving, from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure, optimizing latency and throughput under production workloads, building high-concurrency serving systems, benchmarking and accelerating inference engines, creating robust CI/CD for model deployment, and partnering with senior ML engineers to fine-tune open-source LLMs and deploy.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Senior Machine Learning Engineer to join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge, reason about questions, and perform tasks across products and tools. The team integrates enterprise search into Atlassian products, third-party AI assistants, and developer workflows, using intent interpretation, search planning, tool use, and adapting to new evidence, guided by rigorous evaluation and benchmarks. Responsibilities include delivering agentic search capabilities via APIs and protocols like the Model Context Protocol (MCP), building reproducible benchmarks, improving the full search system from model behavior to interfaces, and owning projects end-to-end with collaboration across product, search, and AI teams. Required background includes a CS degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/retrieval/NLP, designing experiments and evaluation, daily use of AI tools, and understanding the ML lifecycle, with preferred extras like building tool-using agents, MCP/API design, and distributed/cloud ML experience.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The role is with the Spark Growth team, focused on world-class experimentation at scale to drive top-of-funnel customer acquisition and to build AEO/SEO features that help millions discover and sign up for Atlassian products. The position combines People Leadership & Team Health (mentoring, inclusive culture, talent hiring, and monitoring team well-being) with Delivery & Outcome ownership (driving multi-workstream execution, prioritization, and agile process improvements). Technical Leadership & Architecture responsibilities include setting the medium-to-long-term technical direction, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark matters: meaningfully impact early, learn through data-driven experimentation, and work with metrics tied to customer impact, while candidates bring 5+ years leading software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, strong distributed systems/cloud experience, and AI/ML tooling expertise.

Atlassian allows employees to work in an office, from home, or in a hybrid arrangement, and can hire people in any country where it has a legal entity. The Senior Data Engineer in the Product DE organization will design premier data architectures and solutions that support strategic decision-making, translating operational needs into technical requirements and leading initiatives to improve system efficiency. The role involves partnering with engineering teams to drive company-wide initiatives, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data needs. You will design scalable, high-performance data solutions, develop ELT/ETL pipelines for large-scale and specialized datasets, create robust data models for fast storage and retrieval, implement data quality frameworks, and own the full data engineering lifecycle for your team’s solutions. You will participate in on-call rotations to maintain platform stability and work with software engineering teams to build next-generation data systems for rapid, self-service data consumption.

The role is for a highly strategic, analytical, and execution-driven Program Manager to lead complex cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, bringing clarity and momentum to ambiguous environments. You will design and manage a unified transformation operating model that aligns teams, drives accountability, and accelerates business outcomes, maintaining a single source of truth across Product, Sales, Success, Strategy, and Operations, and using Atlassian tools for integrated roadmaps and cross-vector dependency tracking. You will own end-to-end program outcomes, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and collect data to produce actionable insights and progress reports. You will apply strategic problem-solving, data-driven decision-making, and systems thinking to identify root causes, propose actionable solutions, resolve obstacles, and improve efficiency while communicating effectively with diverse audiences and influencing executive stakeholders. You will lead structured program management and execution, including creating charters and problem statements, mapping LRPs, leading quarterly planning (SteerCo), managing backlog, governance with DRIs, and ensuring initiatives are aligned to broader business goals.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. Atlassian aims to help customers compete in the modern digital economy and has built a multi-billion-dollar software business with hundreds of thousands of customers, millions of users, and a culture focused on customer success. This is a people-management role in Revenue Operations: Manager of the Deal Desk for the AMER Strategic Sales segment, leading a team of Deal Managers and Senior Deal Managers to support high-value enterprise deals across the quote-to-cash process. Responsibilities include building and managing the team, ensuring efficient deal execution and structure, providing strategic advisory to sales, finance, revenue, and legal, becoming an expert in deal capabilities, mentoring, leading cross-functional process-improvement projects, and ensuring compliance with GDPR, revenue recognition, and SOX. Requirements include at least five years in a relevant B2B SaaS function, at least two years in people management, strong Excel skills, willingness to participate in daily video chats, a BS/BA in a business-related field, knowledge of CPQ/QTC tools and major software, and experience in deal shaping/structuring, negotiations, financial modeling, and governance for deal reviews.

The AI Success Strategist at Zendesk leads end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategies, defining a long-term AI vision, and building executive partnerships to launch AI initiatives strongly and scale them predictably. The role’s mission is to accelerate time-to-value by driving adoption and operational excellence for Zendesk AI solutions, owning multi-year roadmaps and orchestrating cross-functional delivery to improve renewals, growth, and measurable business impact. Responsibilities include owning AI roadmap design and execution, serving as the design authority for deployments, coordinating cross-functional teams, partnering with executives on long-term AI strategy, maintaining mutual AI roadmaps, and driving data-driven adoption metrics and responsible AI practices. Qualifications include 10+ years in customer success/experience, 2+ years in AI-related roles, enterprise SaaS GTM experience in relevant roles, experience with adoption analytics, a bachelor’s degree (advanced degrees and AI strategy/project mgmt certs preferred), and AI domain knowledge as a plus. Compensation is US OTE $185k–$277k with a 70/30 base/commission mix (bonus/benefits possible); Zendesk supports hybrid work, is an equal opportunity employer, and may screen applicants with AI systems while providing accommodations.

The role seeks professionals with 2–5 years of full-cycle B2B SaaS closing experience, including 1–2 years in mid-market, MEDDPICC proficiency, and the ability to manage high deal volume while pursuing deep, strategic opportunities in a multi-product environment. Candidates should have strong executive communication skills to adapt from LOB champions to VP/C-suite in the same deal, plus AI fluency to boost productivity, research, account planning, and customer engagement, and be proficient with Salesforce, Outreach (or similar), and Gong. The company promises support, connection, and growth, with a global benefits package that typically includes equity, wellbeing benefits, a WFH equipment allowance, and an annual Learning & Development stipend, with some location-specific variations. Miro is a visual workspace for innovation, serving over 100 million users and 250,000 companies from co-headquarters in San Francisco and Amsterdam, with more than 1,600 employees across 13 hubs. Miro emphasizes diversity, belonging, and collaboration, aiming to create a welcoming, inclusive environment and protecting applicants' data under its Recruitment Privacy Policy.

Atlassian offers flexible work locations and hires globally where it has a legal entity, giving employees more control over family and personal priorities. They are seeking a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. Responsibilities include partnering with sales, partners, and large account teams on transformation deals; engaging with C-level executives; conducting customer discovery and mapping business needs to Atlassian products; identifying cross-product opportunities; leading value-based demonstrations; and guiding customers’ technical needs with cross-functional collaboration. The role entails gathering product feedback and competitive intelligence, advocating for internal development, and continuously learning to refine pre-sales and product knowledge and sales processes. Compensation is designed to be equitable and competitive, with US base pay zones A, B, and C ranging from $168,300-$219,725, $151,271-$197,493, and $139,506-$182,132 respectively, plus benefits, bonuses, commissions, and equity; candidates should confirm the zone with their recruiter using go.atlassian.com/payzones.

Atlassian offers flexible work options—office, home, or hybrid—with global hiring and virtual interviews and onboarding as part of a distributed-first approach. The company is on a mission to help customers compete in the modern digital economy, boasting a multi-billion-dollar software business, over 300,000 paying customers, hundreds of partners, and millions of users, all within a culture that is open, collaborative, and customer-focused. This remote role in Deal Desk AMER supports the high-value enterprise deal lifecycle for strategic accounts, reporting to the Manager of the Strategic Sales segment, and involves structuring and modeling deals to balance customer outcomes with Atlassian’s commercial and risk goals. Responsibilities include providing strategic deal advisory to sales, finance, and legal; becoming an expert in pricing, packaging, contracts, and related systems; building trusted advisor relationships; leading cross-functional deal strategy and lead-to-cash initiatives; ensuring product/pricing changes are deal-ready; and mentoring junior team members. Requirements include at least five years in B2B SaaS deal-related roles, experience with complex deals and senior stakeholder alignment, development of playbooks for strategic motions, a BS/BA in a related field, knowledge of CPQ/QTC and core GTM systems (e.g., Salesforce, Oracle, NetSuite, Jira, Confluence, DocuSign), governance practices for strategic deal reviews, and strong Excel modeling with the ability to prioritize strategic work over ad-hoc tasks.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. They are seeking a Senior Solutions Engineer, Strategic focused on being a product expert during the sales cycle to solve customers' hardest business problems and help close enterprise deals. The role involves partnering with sales and executives in large, multi-million-dollar accounts, conducting customer discovery, mapping business problems to Atlassian solutions, and leading value-based demonstrations. It also requires forging strong cross-functional partnerships, tracking feedback and competitive intelligence, helping the product team, and continuously refining pre-sales knowledge and processes. In the United States, the role offers base pay ranges by geographic zone (Zone A $168,300-$219,725; Zone B $151,271-$197,493; Zone C $139,506-$182,132) with potential benefits, bonuses, commissions, and equity, and candidates should confirm their zone with the recruiter.

Zendesk is seeking an energetic inbound Sales Development Representative to call and qualify leads (trial, demo, contact form), create opportunities in Salesforce, and schedule quality meetings with Account Executives while promoting a fun, collaborative team environment. Responsibilities include promptly following up on expressed interest, conducting qualification calls to identify prospect needs, and achieving or exceeding weekly/monthly metrics and quota. Requirements include active listening, the ability to gather customer requirements and map them to Zendesk solutions, strong verbal and written communication, multitasking and time management, and a willingness to work in a fast-paced, high-growth environment; a bachelor’s degree and transferable sales or internship experience are desired, along with demonstrated success in meeting monthly targets. The US hourly OTE ranges from $32.69 to $49.04 with a 70/30 base/commission split, and the role may be eligible for bonuses or benefits; it is a hybrid position with some in-office presence, with the schedule determined by the hiring manager. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion; AI may be used to screen applicants, and accommodations for disabilities are available—candidates can request accommodations via the provided email.

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate 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 they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn their High Touch GTM plays into a repeatable product and commercial advantage; this role is not a quota-carrying seller and not a conventional product marketing role, but sits at the intersection of product strategy and field work. The OPM acts as a mini GM, owning the operating system for priority plays and turning enterprise field evidence into product action while building scalable mechanisms. Responsibilities include translating GTM strategy into operating plans and rhythms, turning customer and competitive signals into product strategy, and leading cross-functional execution with clear ownership and risk management. Required qualifications include significant enterprise B2B product experience, ability to turn ambiguous problems into strategy, understanding of enterprise software buying, and strong communication; preferred qualifications include service management or IT operations experience, security/compliance familiarity, and a track record building field-to-product mechanisms and operating across distributed teams.

- Miro's Demand Marketing team drives enterprise market leadership by collaborating across growth, sales, and customer success to acquire and expand enterprise customers, supplementing product-led growth with B2B marketing tactics. - The Senior Regional Marketing Manager for AMER will design and execute a localized North America marketing strategy, drive pipeline and revenue, and collaborate closely with Sales, Customer Success, Product Marketing, and other marketing teams. - Responsibilities include building and executing regional programs (events, ABM, field programs), aligning with sales and partners, leveraging digital tactics, and regularly reporting on metrics, ROI, and pipeline while owning the regional budget. - Requirements are 7+ years of B2B SaaS marketing, a proven full-funnel campaign track record, deep AMER B2B knowledge, CRM/MA proficiency, strong cross-functional collaboration and project management, decisiveness in ambiguity, and an AI-first mindset with demonstrated AI usage. - The role offers benefits and location-specific salary ranges (San Francisco: $152,000–$228,000; New York: $144,000–$216,000) along with Miro’s emphasis on diversity, inclusion, and a recruitment privacy policy.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them control over family, personal goals, and priorities, and the company hires in any country with a legal entity. Atlassian is investing in its largest customers and partners with 82% of the Fortune 500, including teams at IBM, Tesla, Dish, and Lufthansa. The Account Management team aims to deepen relationships, address customers’ complex challenges, and help them realize value across Atlassian’s solutions, driving retention and accelerating expansion in large Enterprise accounts. Responsibilities include accelerating revenue growth by leveraging existing footprints for expansion, managing high-value renewals and expansions, increasing product awareness, and leading cross-sell and upsell through collaboration with the Global Sales Team for total book of business growth. They maintain market and whitespace analysis for account planning, stay current on product updates, and ensure accurate forecasting and project documentation.

Zendesk is seeking a Senior Director to lead the global AI Services Consulting function, setting strategy and guiding senior leaders to deliver fast, measurable customer outcomes from Zendesk AI. You will own the global strategy and operating model, establish portfolio strategy, governance, and delivery standards, ensure staffing for the work ahead, and partner with Sales, Customer Success, Product, Engineering, and executives to translate insights into roadmaps and scalable growth. Your overarching objective is to build a high-performing organization at global scale, define outcomes and performance metrics, and create a repeatable go-to-customer motion aligning cross-functional teams on roadmaps, packaging, and investment priority. Qualifications include 12+ years in professional services or related enterprise SaaS roles, 8+ years of leadership, senior-level go-to-market and operating-model expertise, strong AI/product fluency, and a Bachelor's degree (advanced degree preferred) with proven executive influence and delivery performance. The role offers a US OTE of $270k-$406k (80/20 base/commission), potential bonuses, a hybrid work arrangement with partial in-office requirements, and Zendesk’s commitment to diversity and accommodations, including AI screening in the application process.

Miro is inviting expressions of interest for SMB and Commercial Account Executive roles, noting the pipeline is future-focused though some openings may be live now, and applicants should check the careers page while joining a talent community for this team. They review every profile, may flag candidates for potential future matches, start with a casual recruiter chat if there’s a fit, and will not begin a formal multi-stage interview until a role is officially open, keeping the pool active for new headcount. SMB AEs handle 1–500 employee targets in a high-volume, fast-cycle environment, while Commercial AEs handle 500–3,000 employee accounts with deeper, multi-stakeholder deals and a broader strategic process. In both roles you own the full sales cycle from prospecting to close, generate and manage pipeline, apply MEDDPICC and Command of the Message for value-led discovery, pursue net-new logos with expansion signals, forecast in Salesforce, and collaborate across Renewals, CS, Marketing, and Solution Engineering/Value Advisory as appropriate. Required qualifications include MEDDPICC and Command of the Message, high-velocity prioritization and adaptability, Salesforce plus Outreach and Gong, and AI fluency; SMB requires 1–4 years of SaaS/B2B sales with some full-cycle closing, while Commercial requires 2–5 years with mid-market experience, and the benefits include equity, wellbeing support, a WFH equipment allowance, a Learning & Development stipend, along with Miro’s commitment to diversity and belonging and a Recruitment Privacy Policy.

Miro invites expressions of interest for future opportunities with its Enterprise and Strategic teams, notes that some related openings may be live now, and directs candidates to the careers page for current roles while joining this team’s talent community; the process includes profile reviews, casual introductory chats if there’s a potential match, and no formal multi-stage interviews until a role is officially open, with the pool kept active and prioritized for new headcounts. The Enterprise and Strategic teams are central to Miro’s evolution from a collaboration product to an AI-powered innovation workspace; Enterprise AEs work with large organizations (3,000–15,000 employees) and Strategic AEs manage a portfolio of Fortune 500/Global 2000 accounts, with multi-threaded, multi-year deals, in tightly coordinated PODs with Solution Engineering, Customer Success, Value Advisory, Professional Services, and executive leadership. In this role you’ll own a named account territory or portfolio (Enterprise: net-new logos and growth; Strategic: deep account strategies across 3–10 global enterprise customers) and run complex, multi-threaded sales cycles, map stakeholders, build champions, create irrefutable business cases tied to initiatives and outcomes, and drive expansion through high-value workflows. You’ll connect Miro’s platform to measurable customer outcomes, build executive alignment, and lead cross-functional teams to win, while creating and managing a strategic pipeline and forecasting with MEDDPICC and value selling. What you’ll need includes expert-level MEDDPICC, strong executive presence across technical and business personas, deep account planning, cross-functional deal leadership, and AI fluency; Enterprise requires 5+ years of B2B SaaS sales with ARR closes of $50k–$100k+ and 3–12 month cycles, while Strategic requires 10+ years of SaaS sales experience with Fortune 500/Global 2000 exposure and $250k–$1M+ opportunities; the package includes equity, wellbeing benefits, a WFH equipment allowance, an L&D stipend, and a diverse, collaborative culture, with Miro’s Recruitment Privacy Policy guiding personal data handling.

Miro is hiring a Senior Threat Detection & Intelligence Engineer who will operate at the intersection of threat intelligence, detection engineering, and incident investigation, turning messy signals into clear attacker narratives. The role sits in the Cloud Security & Detection & Response (CSDR) team, which focuses on translating external threat intel into actionable detections, building high-fidelity detections for cloud and SaaS, leading investigations, and driving security by design with engineering. Responsibilities include tracking emerging threats relevant to cloud/SaaS, designing context-aware detections across cloud, identity, and application layers, leading end-to-end investigations, guiding incident response, and collaborating with engineering to raise security maturity. Requirements include 5–7 years in security with 2+ years in threat detection/intelligence/investigations, cloud-native SaaS experience (AWS preferred), strong investigation skills, Python automation, SQL querying, familiarity with cloud telemetry and IaC, and the ability to translate risk into business terms. The role offers opportunities to shape how threat intelligence is used, work on real attacker behavior, room to experiment with detection capabilities, close collaboration with engineers who value security as an engineering problem, and benefits such as equity, wellbeing support, equipment allowance, and a Learning & Development stipend, within Miro’s commitment to diversity and inclusion.

The Professional Services team at Miro seeks a GTM Lead/GM of Fashion who will report to the Head of Professional Services and work cross-functionally with Product, Engineering, Marketing, and GTM to build Miro’s new fashion vertical from the ground up. You will own the strategy, go-to-market, and commercial success of Miro for Fashion, creating specialized workflows and solutions across design, planning, production, merchandising, marketing, and retail to demonstrate how Miro fits fashion businesses and prove the model deal by deal. Your responsibilities include defining zero-to-one fashion workflows, identifying use cases, targeting accounts and buying committees, carrying early deals, partnering with GTM, Product, and Engineering on roadmap decisions, representing Miro for Fashion at events, and building the team and operating rhythm as the vertical scales. Non-negotiable requirements include deep fashion experience, end-to-end season experience, hands-on use of digital tools to solve seasonal problems, and comfort selling; strongly preferred are enterprise sales experience, ability to map buying committees, presence in industry conversations, and a leadership style that builds trust and acts without a rigid playbook. What’s in it for you includes equity and benefits, location-based salary ranges for LA, SF, and NY, a supportive, diverse culture at Miro, and information about Miro's mission, collaboration, and diversity/inclusion, along with the Recruitment Privacy Policy.

The GTM Lead for Manufacturing will help build Miro’s new Manufacturing vertical from the ground up, reporting to the Head of Professional Services and partnering with Product, Engineering, Marketing, and other GTM teams. The role owns the zero-to-one development of dedicated manufacturing solutions—turning Miro’s existing manufacturing footprint into a defined, scalable business and guiding the model deal-by-deal, including identifying use cases and translating them into a product and sales narrative. You’ll identify target accounts, map champions and buying committees, drive early deals, align GTM with the industry, collaborate with Product and Engineering on roadmap decisions, and represent Miro externally at events and in analyst ecosystems while building the team as the vertical scales. Requirements include 10+ years in manufacturing operations and consulting (3–4 years at Engagement Manager/Associate Partner level), manufacturing-operator experience, bilingual abilities for plant-floor and ROI conversations, and senior VP-level relationships, with a preference for hands-on prototyping in Miro and enterprise sales experience. What’s in it for you: equity and benefits, a learning stipend, a WFH equipment allowance, location-based salary ranges for LA, SF, and NY, and a culture that emphasizes diversity, inclusion, and collaboration.

Miro's Customer Support team aims to help customers quickly solve problems so they can continue innovating, with the AMER group based primarily in Austin and operating in a hybrid model (2 days per week in the hub) while staying flexible for a global team. The Manager, Customer Support AMER will lead the regional Tier 2 and Tier 3 teams and oversee Tier 1 outsourced support for AMER time zones, reporting to the Global Head of Customer Support and collaborating with leaders in EMEA, JPAC, and the Support Excellence group. Responsibilities include building a high-performing mixed team, driving key metrics (CSAT, QA, SLA, AHT, backlog), managing escalations, partnering with Customer Success, Sales, and Professional Services on strategic accounts, and coordinating with Tier 4 escalation and cross-functional teams to improve the customer experience. Requirements include 5+ years in customer-facing tech roles, 2+ years of people management, experience with outsourced/BPO support, strong data-driven decision-making, coaching, servant leadership, and cross-functional collaboration, with Portuguese or Spanish proficiency being a plus. The role offers a global benefits package (equity, wellbeing, WFH equipment, and L&D stipend) and aligns with Miro's commitment to belonging, diversity, and inclusion as it aims to empower teams to create the next big thing.

The Finance & Strategy team advises C-level decision makers, and the Senior Finance Manager will influence relationships with Product & Engineering to scale the product roadmap through high-precision forecasting and financial modeling. Responsibilities include serving as the lead partner to Product Development, conducting financial modeling for product launches (TAM/SOM, ARR targets, COGS, and Opex), performing analyses to drive value and strategic recommendations, and delivering timely KPI and forecast reporting. Minimum requirements include 10+ years in technology/finance/consulting fields, advanced financial modeling skills in Excel/Google, strong analytical and communication abilities, and experience with planning tools and systems such as Adaptive or Hyperion. The US base salary range is $146,000–$220,000, with potential bonus and benefits; the posted figure reflects base pay only, and actual offers depend on experience and location. Zendesk emphasizes a fulfilling, inclusive culture with hybrid work options, is an equal opportunity employer, and may use AI screening for applications in line with company guidelines and applicable law, with accommodations available for applicants.

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 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 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 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.

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 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.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity to help employees balance personal priorities. The Principal Machine Learning Engineer in the Confluence AI organization will help shape the next generation of AI-powered experiences across Confluence and is a hands-on role that turns fast-moving ML advances into scalable product experiences. The role spans the full AI product development stack—model-informed design and evaluation, production engineering, experimentation, and long-term technical leadership—and is well suited for someone with both ML depth and product/system thinking. Responsibilities include setting technical direction for ML initiatives, designing and evolving production-grade ML systems and evaluation loops, leading customer-facing AI capabilities, and driving advances in areas such as model behavior, retrieval, ranking, prompts/workflow design, and reliability while coordinating with cross-functional teams. It also involves architectural decision-making across layers, hands-on prototyping and rollout guidance, mentoring engineers, raising engineering standards, and building foundations for deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

The Services Consultant at Zendesk leads end-to-end technical delivery for customers, owning the implementation from requirements gathering to go-live and acting as a Zendesk contact center expert to provide recommendations for high-profile clients. Responsibilities include designing and documenting solutions through Technical Design Documents, configuring services and deploying resources in customer AWS accounts using tools like Amazon Connect, CloudFormation, Lex, DynamoDB, Kinesis, IAM, and S3, and collaborating with cross-functional teams for development, testing, and go-live, along with client training and handovers. The role requires 3+ years of customer-facing technical support or consulting, hands-on experience building and migrating complex cloud-based solutions, AWS environment experience with deployment automation, and strong programming skills (AWS Lambda and Python) for integrating contact center solutions. Zendesk emphasizes a strong global culture with competitive pay and benefits, a hybrid/remote-friendly work model, and commitments to diversity, inclusion, social impact, and a welcoming workplace. The US base salary ranges from $137,000 to $205,000 and may include bonuses or incentives; AI screening may be used in applying for the role, and Zendesk is an equal opportunity employer that provides accommodations for disabilities and veterans.

Zendesk is hiring for a pure hunting Business Development/Sales role in North America aimed at identifying, qualifying, and building a significant pipeline across SMB, Commercial, and Enterprise accounts, in collaboration with sales, product, and marketing teams. Key responsibilities include engaging with prospects to understand challenges, generating high-value outbound content and messaging, researching companies (10K/10Q, investor presentations, news), and managing a pipeline with a focus on delivering a superior customer experience. Requirements include 2+ years of sales/BD experience across SMB to Enterprise, a competitive self-starter mindset, excellent communication and interpersonal skills, and proficiency in Salesforce, Zoominfo, Outreach, 6sense, with a bachelor’s degree preferred. Compensation consists of a US hourly OTE range of $36.54-$54.81 with a 70/30 base/commission split, with potential bonuses or benefits, and final offers determined by location and experience; the posted range reflects base pay, not including incentives. The role uses a hybrid work model with some onsite time, and Zendesk emphasizes its mission to redefine customer experience through AI, a diverse and inclusive culture, equal opportunity employment, and accommodations for applicants with disabilities, including AI screening per policy.

At Atlassian, flexible work options are available and the company hires globally, offering products like Jira Software, Confluence, and Jira Service Management that help teams collaborate. In the Mid-Market sales role, you’ll own 45–75 accounts (200–10,000 seats) with a $2–4M annual quota, focusing on cloud-first opportunities and customer expansion. You’ll lead cross-functional deal teams (SDR, SE, SSE, AM, partners) and establish executive relationships across IT, business, sales, and marketing to drive multithreaded opportunities. Responsibilities include closing complex, multi-solution deals, negotiating contracts, sourcing leads, maintaining a healthy pipeline with accurate forecasting, and occasional travel for meetings. You’ll collaborate with channel, product, and customer success teams to maximize customer satisfaction while staying ahead of industry trends and competitors for a competitive edge.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

The role is Senior Staff Engineer on Zendesk's Enterprise Data & Analytics team, leading the architecture and engineering of an AI-ready enterprise semantic data platform that unifies analytics, applications, and AI on trusted foundational data models. You will define the enterprise semantic architecture (metrics, dimensions, entities, relationships, grain, time semantics, and business context), establish reusable semantic contracts, evaluate long-term platform options (Snowflake Semantic Views, dbt Semantic Layer/MetricFlow, Cube), design metadata-driven capabilities, and guide conversational analytics and golden datasets while leading multi-team initiatives from PoC to production. You will mentor engineers, influence build-versus-buy decisions, and treat the platform as an internal product to improve adoption, documentation, onboarding, and migration from duplicate implementations. Basic qualifications include 10+ years in data engineering/architecture with at least 3+ years hands-on semantic layer experience, deep expertise with Snowflake/Databricks and dbt, strong SQL and programming skills, and excellent communication for collaboration across executives, architects, engineers, analysts, data scientists, and business stakeholders. Preferred experience includes Snowflake Semantic Views, dbt MetricFlow, Cube, LookML/Looker, or similar semantic platforms, plus familiarity with text-to-SQL, agent evaluation, deterministic vs probabilistic metric boundaries, and evaluating vendors or open-source platforms for adoption roadmaps; the data stack includes Snowflake, Kafka, Tableau/Looker, AWS, Kubernetes, Terraform, and CI/CD tooling, with a US base salary range of $200k–$300k and potential bonuses, while Zendesk supports hybrid work, diversity and inclusion, and reasonable accommodations.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders improve developer productivity, backed by millions of data points and clients like Pinterest, GitHub, BNY, and Xero; it has scaled profitably, tripling ARR, and was recently acquired by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers, with the role open to candidates in EST and CST only. The Commercial Account Executive will partner with DX’s largest and most strategic customers, uncovering pain points around measuring and improving developer productivity and helping them evaluate DX as a long-term strategic partner. You’ll support customers through proofs of concept, help create firm business cases, manage a large territory with a high volume of inbound leads, and work with SDRs, SAs, and leadership to maximize impact across AMER and LATAM accounts. DX values individual mastery and being the best at your craft, rewarding those who excel, while acknowledging that outcomes are influenced by external factors and focusing on performing at the highest level possible.

The role is intended to accelerate customers’ time-to-value by driving adoption and operational excellence of Zendesk AI solutions, owning multi-year AI roadmaps, and aligning Product, Services, Sales, and Partners to protect renewals and grow revenue. You’ll lead end-to-end AI roadmap delivery, act as the design authority for deployments, coordinate cross-functional resources, and partner with executives to shape a forward-looking AI strategy and mutual roadmaps, while sustaining ongoing engagement and a channel/adoption strategy with measurable outcomes. The position also requires advising on responsible AI, data governance, and compliance within safe guardrails, and using data-driven insights to track adoption, forecast retention/expansion, and optimize impact. Qualifications include 5+ years in Customer Success/Experience, 1+ year of AI-related experience, enterprise SaaS GTM experience, a track record of using adoption analytics to predict churn and growth, and a bachelor’s degree (AI strategy or PM certifications preferred). Compensation is US OTE $118k–$178k with a 70/30 base/commission split (bonus potential), a hybrid work model, Zendesk’s commitment to diversity and inclusion, and policies on AI screening and accommodations for applicants.

Atlassian enables flexible work locations and hires people in any country where they have a legal entity. DX's Solutions Engineering Team at Atlassian is seeking a Pre-Sales Senior Solutions Engineer to drive growth of the DX product (getdx.com). The role serves as the solution expert throughout the sales cycle, helping Enterprise prospects solve complex problems and close critical deals. Responsibilities include leading technical evaluations with Account Executives, conducting discovery and strategy sessions, asking detailed questions to uncover client needs, and designing tailored solutions to integrate APIs with client workflows. It also involves acting as a trusted advisor on deployment and analytics integrations and providing technical feedback to Product and Engineering to inform roadmap priorities.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Senior Solutions Engineer to drive growth of the DX product (getdx.com). The role involves serving as the solution expert throughout the sales cycle, helping Enterprise prospects solve complex business problems with Atlassian products and close critical deals. Key responsibilities include leading technical evaluations with account executives, conducting discovery and strategy sessions, asking detailed questions, and designing tailored solutions to integrate APIs with client workflows. It also entails acting as a trusted advisor on deployment methods and analytics, and capturing feedback to inform product enhancements and roadmap priorities.

Zendesk is hiring a Technical Sales Engineer to join the engineering presales team, focusing on coding, API integrations, and production-ready POCs to demonstrate the platform’s AI capabilities to customers. Responsibilities include delivering customized POCs and demos, building and maintaining API integrations across complex client stacks, supporting deep technical validations, and helping scale internal tooling and automation templates for the field team, while staying current on AI trends like LLMs and autonomous workflows. Required qualifications include a bachelor’s in a technical field, 2–4 years in a technical client-facing role or hands-on software development, proficiency with JavaScript, Python, Node.js, and REST/SOAP APIs, and willingness to travel ~30%. Preferred qualifications include familiarity with enterprise software infrastructure and cloud ecosystems (AWS/GCP/Azure), experience presenting to technical and non-technical audiences, and a portfolio of personal projects or GitHub contributions. Compensation includes US OTE of $188k–$282k with an 80/20 base/commission split, a hybrid work model with in-office requirements, and Zendesk’s commitment to equal opportunity and accommodations, including AI-based screening where applicable.

The role is Principal Product Manager for CRM & Sales Systems, owning the vision, strategy, and multi-year roadmap for the CRM (Salesforce) and broader sales tech stack, working as part of a leadership triad with the CRM Architect and CRM Platform Tech Lead to deliver an AI-enhanced CRM that changes how sales teams operate. You will define the vision, align technology investments with global sales goals, champion an AI-first mindset (including generative AI, predictive forecasting, copilots, and automated data capture), and redefine sales workflows to reduce friction and enable new ways of working. You will lead the triad, translate business needs into product requirements, maintain deep stakeholder alignment with Sales Leadership, Revenue Operations, Enablement, and Marketing, and relentlessly prioritize the backlog while balancing strategic features with technical debt and system performance, plus define and track KPIs such as adoption, user satisfaction, time-to-quote, data hygiene, and AI adoption rates. Requirements include 8+ years in Product Management with at least 3+ years in internal GTM systems/CRM/Sales Ops at Principal or Senior level, an AI-first focus, deep B2B sales domain expertise, technical fluency with Salesforce and AI integrations, and a track record of cross-functional triad collaboration and user-centric design; bonus points for prior Sales/RevOps/Sales Engineering experience, Salesforce certifications, and prior AI product rollouts. The package includes a US base salary range of $183,000-$275,000 with possible bonuses or incentives, while Zendesk emphasizes hybrid work, diversity, inclusion, equal opportunity, and accommodations for applicants with disabilities, including AI screening as part of the process.

The job is a hands-on CRM Platform Tech Lead at Zendesk who serves as the technical anchor for the CRM engineering team, focusing on immediate delivery and turning complex business requirements into scalable solutions while architects handle the multi-year roadmap. You’ll be the go-to technical expert for a squad of developers and admins, leading by example, owning sprint commitments, tackling the most complex coding challenges, and promoting an AI-first mindset to transform how technology is built and delivered. Your responsibilities include translating high-level requirements into executable technical designs (e.g., Flow vs Apex decisions, complex triggers, and custom UI components), driving solution engineering, accelerating delivery with AI-assisted tooling, mentoring the team, and enforcing code quality and release hygiene with QA and release management. Requirements include 10+ years of hands-on enterprise CRM development (preferably Salesforce) with at least 3+ years in a technical lead or squad lead role; expert-level proficiency in CRM development languages and frameworks (Apex, LWC, SOQL, REST/SOAP APIs, declarative automation); and an AI-first, delivery-focused, mentoring mindset, plus Agile proficiency; bonuses for advanced CRM certifications or experience implementing AI in CRM. The package includes a US base salary of $161,000-$241,000 with potential bonuses and benefits, Zendesk’s hybrid work model and commitment to fairness and inclusion, and information about AI-based screening and equal opportunity employment with accommodations if needed.

The job is a Senior Full Stack Engineer position at Zendesk to build a real-time voice AI product that makes live conversations feel natural and reliable, with a focus on reducing latency and improving AI-driven support. Responsibilities include designing and implementing backend services for real-time voice conversations with emphasis on latency, reliability, and observability; building integrations for telephony, WebRTC, real-time audio processing, and external AI/speech services; shipping end-to-end features; improving platform reliability through monitoring, tracing, autoscaling, and failure recovery; addressing turn-taking and graceful handoffs to humans while collaborating with product and design. Requirements include solid backend fundamentals with API design, async systems, and scalable integrations; hands-on experience with real-time systems (WebRTC, WebSockets) or telephony protocols; a product-driven engineering mindset; the ability to debug latency and reliability issues; and cross-functional collaboration. Basic qualifications are 3+ years building production software with significant backend experience, experience with real-time or event-driven systems (WebRTC, SIP, streaming APIs), and proficiency in Python or equivalent backend languages and async architectures; preferred qualifications include telephony stacks, SIP, media servers, or speech/ASR/TTS integrations, familiarity with LLMs or conversational AI production infrastructure, and experience on full-stack teams shipping both backend and frontend user experiences. The US base salary ranges from $145,000 to $217,000 with possible bonuses/benefits; Zendesk supports hybrid/remote work, may use AI screening for applications, and is an equal opportunity employer committed to diversity, inclusion, and accommodations for applicants with disabilities.

The role is a Senior Full Stack Engineer with a backend-first focus on building real-time voice AI systems, owning features end-to-end, and prioritizing latency, reliability, and conversation flow. Responsibilities include building backend systems powering real-time voice conversations, developing integrations for telephony, real-time audio, and external AI services, shipping features across the voice platform (including some user-facing web experiences), and improving platform reliability, observability, and performance while addressing real-time interaction challenges like interruptions and turn-taking. It’s exciting because you’ll directly impact how conversations feel, tackle low-latency and AI-powered workflows, own work across product, platform, and infrastructure, and help define early voice AI products. Qualifications include 3+ years of production software experience; backend-first with APIs, async systems, integrations, and system design; experience building and owning end-to-end product features; experience with real-time or event-driven systems such as WebSockets, WebRTC, or streaming; and a passion for product quality and user-facing problems (with interest in voice AI). Tech stack includes Python, FastAPI, React, TypeScript, WebRTC, Redis, MongoDB, and modern LLM/speech infrastructure; the US base salary range is $145,000-$217,000 with possible bonuses/benefits, with offers based on capabilities and location; Zendesk emphasizes hybrid work, inclusion, and accommodations for applicants.