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GitLab is an intelligent DevSecOps orchestration platform used by 50M+ registered users and trusted by many Fortune 100 customers, with a culture that treats AI as a core productivity multiplier and emphasizes high performance and continuous knowledge sharing. The Strategic Account Executive for Mumbai will drive GitLab’s growth across BFSI and large enterprises, guiding adoption of the AI-powered DevSecOps platform and leading modernization, security, and compliance initiatives in regulated environments. You’ll lead the full enterprise sales cycle—from prospecting to close—build detailed account plans for priority customers, coordinate with cross-functional teams, ensure a smooth customer experience, and align with regulatory priorities (RBI, IRDAI, SEBI) and deployment options such as self-managed or GitLab Dedicated Partner. Required background includes deep experience selling complex B2B software to large Indian BFSI and enterprise accounts, strong CI/CD/DevSecOps and cloud modernization knowledge, familiarity with data residency and regulatory expectations, and the ability to navigate multi-stakeholder decisions and partner ecosystems; the role is remote with some in-person travel in Mumbai. The team is all-remote, focused on expanding GitLab’s footprint in India, offering comprehensive benefits and a commitment to equal opportunity, with location-based eligibility considerations and encouragement for applicants from underrepresented groups.

GitLab is described as an intelligent orchestration platform for DevSecOps that boosts developer productivity, reduces risk, and accelerates digital transformation, with over 50 million users and Fortune 100 trust, and it integrates AI across teams. The role of Senior Manager, Total Rewards Operations, India, leads a small team to support GitLab's global benefits and compensation operations, translating global priorities into reliable local execution across regions and time zones. Responsibilities include overseeing the Benefits Analyst and Senior Total Rewards Operations Analyst, managing benefits and compensation workflows, establishing quality controls and confidentiality measures, coordinating with global program owners, and working with People Technology to test changes and improve data quality using AI tools like Workday, Google Workspace, Slack, and Claude. Requirements include experience in Total Rewards/benefits/compensation operations in a global organization, demonstrated people-management, the ability to meet deadlines across time zones, strong communication and governance around confidential data, and proficiency with HR systems and AI tools; experience with a distributed workforce or vendors is a plus. GitLab supports remote, worldwide hiring with flexible benefits, inclusivity initiatives, and a clear commitment to equal opportunity and privacy, including location-based eligibility considerations and a recruitment privacy policy.

Atlassian offers flexible work options—from remote to office to hybrid—and conducts virtual interviews and onboarding as part of its distributed-first, TEAM anywhere approach. The Senior Software Engineer will design, build, and optimize high-performance, scalable, and fault-tolerant backend storage solutions on AWS, developing distributed storage systems, APIs, and backend services for mission-critical applications. The role requires ensuring low latency, high throughput, and cost efficiency, collaborating with principal engineers, architects, SREs, and product teams to define roadmaps, improve storage efficiency, and optimize access patterns, plus driving performance tuning, data modeling, caching, and cloud storage cost optimization. Responsibilities include infrastructure automation, security best practices, and monitoring using Terraform, CloudWatch, Prometheus, and OpenTelemetry, as well as troubleshooting production incidents related to data integrity, latency, and storage failures for high availability and disaster recovery. You will mentor junior engineers, participate in design reviews, advocate for CI/CD, infrastructure as code, and observability-driven development, and contribute to scalable storage infrastructure while maintaining security, reliability, and regulatory compliance.

Atlassian's Search Platform aims to power trusted cross-product knowledge search across all products, and the company seeks a product-minded ML systems leader with deep expertise in applied ML and production ML infrastructure. As a Senior Machine Learning Systems Engineer, you’ll be at the intersection of search, machine learning, and experimentation, collaborating with cross-functional teams to deliver ML-powered solutions that impact millions of customers. You will build proof-of-concept (POC) systems and evolve them into reliable, scalable services while contributing to best practices in model deployment, monitoring, and evaluation, and working with ML engineers, backend developers, and product teams to ship end-to-end innovations. You’ll develop robust feature engineering for offline training and online inference at scale, deploy ranking models to optimize user experience and business objectives, and create tools and infrastructure to support rapid experimentation, evaluation, and deployment while optimizing latency, throughput, and resource efficiency for search workloads. The role also involves transferring your depth of knowledge to software engineering, communicating complex technical concepts to technical and non-technical stakeholders, delivering code reviews and documentation, fixing bugs, and mentoring junior team members within a strong engineering culture.

Atlassians can choose where they work—office, home, or a mix—and we can hire people in any country where we have a legal entity. The AI & ML Platform Team builds and runs the infrastructure underpinning Atlassian’s AI, ML, and search capabilities, with a mission to democratize AI/ML for our teams, customers, and ecosystem through user-friendly, reliable foundational tools. The team owns infrastructure for running generative LLMs, GPU-accelerated model serving, data access and training for in-house AI, feature stores for personalized recommendations, and other capabilities, collaborating closely with product and search teams to deliver AI features. The AI Platform teams are distributed across Australia, India, Singapore, and the US, within the Central AI organization alongside Search & Conversational AI teams, and work with leadership, technical program managers, stakeholders, and architects to shape the platform’s direction. As a hands-on engineering leader, you’ll build and empower teams, coach their development, contribute to engineering and operational practices, and provide thought leadership in the rapidly evolving AI space to influence how the company uses the platform.

Atlassian supports flexible work options (office, home, or hybrid), hires in any country with a legal entity, and conducts virtual interviews and onboarding as part of a distributed-first culture. It offers agile & DevOps, IT service management, and work management software (including Jira Software, Confluence, and Jira Service Management) to help teams organize, discuss, and complete work, serving a broad client base including Fortune 500 companies and notable names like NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, cross-sell and expand usage, nurtures relationships, and pursues revenue targets while advocating for customers and feeding feedback to product and engineering. Collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers is essential to guide deployment and utilization at scale, aligned with Atlassian values. They develop named Account or Territory plans (India) to maximize expansion and customer success, drive growth in the mid-market, qualify opportunities, deliver product demonstrations, provide regular progress updates, stay informed on market trends, and travel occasionally for client meetings and events.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. In this role, you will define and implement a clear vision for your territory and regularly communicate on funnel/status, resource requirements, challenges, and successes. You will collaborate with cross-functional teams (Account Executives, Marketing, Customer Success, and Product), represent the Atlassian Service Collection at industry events, and work closely with Atlassian partner management as well as partners ranging from the world’s largest IT service providers to other professional services firms.

At Atlassian, employees can work from an office, home, or a combination, giving them control over family, personal goals, and other priorities, and the company hires people in any country where it has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. Atlassian’s products—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, and are used by the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion opportunities, nurturing relationships, and achieving revenue targets, while serving as a strong advocate for customers and providing feedback to product and engineering, in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role involves developing and executing named Account or Territory plans (India) to maximize expansion across a broad product portfolio and ensure high customer success, driving growth and engagement within the mid-market, qualifying opportunities, conducting product demonstrations, and proposing suitable solutions. Responsibilities also include providing regular updates to management, staying updated on industry trends and competitor activity, and traveling occasionally to meet clients, attend industry events, conferences, and intentional togetherness gatherings as required.

- Atlassian offers flexible work options and hires in any country where it has a legal entity. - The Search Platform team is responsible for powering Rovo Search and making Atlassian data and data from external apps securely, quickly, and at scale with enterprise-grade infrastructure. - A Senior Principal Engineer will own the technical roadmap for the Search Data pillar, building a platform to integrate, process, index, and search massive volumes of unstructured data from 100+ sources, leveraging expertise in large-scale data, streaming, and distributed systems. - You will lead other engineers, define strategic direction, and own outcomes from design to launch, making hard architectural trade-offs to balance freshness, correctness, cost, and operational simplicity while modernizing legacy systems. - Responsibilities include shaping architecture, advancing real-time and AI/agentic retrieval, handling data quality and messiness, ensuring operational excellence and developer productivity, and mentoring engineers to foster a high-ownership, data-driven culture.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The Mid-Market Manager India role leads a team focused on acquiring and managing mid-market customers in India, developing tailored strategies for mid-market needs, and nurturing key accounts, with base in India and the option to work remotely or from the Bengaluru office. Responsibilities include leading the mid-market sales team, expanding Asia-focused market share, elevating the Atlassian brand through executive engagement and thought leadership at events, analyzing data and market trends, managing key client relationships, mentoring the sales team, setting performance goals, recruiting new members, collaborating with internal and external partners, conducting performance evaluations, and providing regular updates to senior management. The ideal candidate will have experience as a Sales IC and as a manager with customers and teams in India, plus experience building multi-country sales strategies that account for economic variation, understanding APAC cultural nuances, knowledge of Atlassian solutions in India considering regulatory and language factors, a track record of meeting targets and pipeline goals, and the ability to coach on solution sales and value selling, with proficiency in CRM, pipeline management, and analytics tools. They should be motivated to coach and mentor selling professionals and eager to challenge the traditional sales model in a fast-paced international environment, taking initiative and sharing findings with the team.

The posting is for a Principal Data Scientist at Atlassian who partners with business leads to strategize, implement, and measure data-driven initiatives across analytics, strategy, and operations. The role involves turning data into impactful visualizations that power leadership decisions and contributing foundationally on high-impact projects. Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. You will collaborate with cross-functional partners, apply quantitative analysis, experimentation, and data storytelling to develop strategies and solve major business challenges, while developing hypotheses and testing them with various methodologies. You will define opportunities to improve products and the business, forecast and monitor key product metrics to understand trends, influence roadmaps, and communicate insights to leadership.

Atlassians can choose where they work—office, home, or a hybrid—and Atlassian can hire people in any country where it has a legal entity. The Analytics Platform is Atlassian’s AI-ready data backbone, enabling trusted analytics across cloud environments while simplifying the underlying architecture to keep data reliable, discoverable, and cost-effective at scale. By unifying a consistent data foundation, low-latency analytics, and governed access patterns, it helps both people and AI agents move from raw data to self-service insights faster and with greater confidence. It serves as the data platform foundation for AI-native experiences such as intelligent assistants, embedded analytics, faster time to first query, and future ML use cases, while preserving reliability, permissions, and metric integrity for enterprise-grade decision-making. As a Technical Program Manager on the Analytics Platform team, you will define the long-term technical strategy and roadmap, secure stakeholder buy-in, drive cross-organizational programs, translate business objectives into technical requirements, influence solution architecture, and manage the lifecycle and dependencies of these initiatives.

Atlassian supports flexible work options—office, remote, or a mix—and hires people in any country where the company has a legal entity to help staff balance family, personal goals, and other priorities. The Senior Product Manager will lead critical areas of IT Operations and Incident Management, identifying customer and business problems that make incidents difficult to detect, resolve, and learn from, and translating those insights into a focused product strategy and end-to-end execution for IT and Developer teams across the incident management journey, using a thoughtful mix of AI-powered and non-AI capabilities. You’ll define and execute strategy for high-impact areas within Incident Management, identify pain points through research and data, prioritize opportunities that improve incident outcomes and create value, balance AI investments with reliable non-AI features, and partner with Engineering, Design, Data Science, Research, Marketing, Sales, Support, and Customer Success while engaging directly with customers to validate problems and measure impact. You’ll help JSM and Service Collection grow by increasing customer value, adoption, engagement, retention, and expansion within IT Operations, delivering better incident outcomes, enabling stronger cross-functional collaboration, and applying AI where it meaningfully reduces effort while preserving transparency, control, and trust to support smarter operations and business growth. Requirements include 10+ years of experience building and launching successful B2B or SaaS products, strong customer empathy for Enterprise and SMB, comfort in technically complex spaces, practical understanding of AI-enabled product development, strong analytical and stakeholder-management skills with the ability to influence across teams and at senior levels, excellent communication, a bias toward action, strong product judgment, and the ability to make progress through ambiguity; success means delivering a clear, evidence-based strategy for Incident Management, trusted experiences during critical incidents, improved outcomes for IT and Developer teams, and sustainable growth for Service Collection.

Atlassian offers flexible work options—office, home, or a mix—and hires globally in any country where it has a legal entity. The Commerce Platform Team is a foundational group that powers how products are packaged, priced, billed, and managed, including quoting, billing, subscription management, and payment orchestration across products and customer segments. In the Principal Technical Program Manager role, you will lead high-visibility programs in partnership with Product, Engineering, Finance, and Go-To-Market to build durable, scalable commerce capabilities, define multi-year roadmaps, translate business strategy into execution, and govern flagship programs with cross-functional alignment. Your impact includes enabling a scalable business backbone, streamlining the customer and operations experience, embedding automated controls for financial integrity, and fostering high-trust delivery across organizations to accelerate monetization initiatives. We’re looking for domain knowledge in commerce/quote-to-cash, platform- and product-minded leadership, cross-functional influence, comfort navigating ambiguity, and strong strategic problem-solving skills; success means delivering a reliable, scalable commerce platform with unified stakeholders, accurate billing, and efficient monetization across the customer lifecycle.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever there is a legal entity. As a Principal Engineer in Search Platform, you will lead the technical vision, architecture, and delivery for planetary-scale data ingestion and indexing powering Atlassian Search and Rovo, ensuring enterprise-grade trust across multi-cloud (GCP/AWS), isolated cloud, compliance, and encryption. Key responsibilities include owning the Enterprise Trust & Compliance strategy (multi-cloud, FedRAMP, BYOK encryption, data residency) and proactively simplifying architecture while shaping the indexing platform for AI-era workloads to meet freshness, relevance, and scale across billions of events. You will collaborate across ML, Data, Cloud Infrastructure, and product teams to align technical direction, unblock dependencies, and build shared platform capabilities that amplify impact beyond your own team, while improving enterprise platforms and reducing complexity. The role also focuses on system efficiency at scale—boosting ingestion throughput, data freshness, and reliability while optimizing unit economics through smarter sharding, disaggregated storage, and compute efficiency—and staying ahead of advances in agentic retrieval architectures, vector/hybrid indexing, and agentic memory to accelerate Atlassian's roadmap.

The Principal Data Scientist role at Atlassian focuses on scaling a fast-growing company by applying analytics, data science, and AI to support the Service Collection initiative. It aims to identify opportunities and build tools and solutions that influence the Service Collection roadmap and speed decision-making with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLMs, and experience partnering with cross-functional teams and mentoring junior data scientists. Atlassian offers flexible work arrangements and can hire in any country with a legal entity. Responsibilities include influencing strategy, defining department-level KRs, building measurement frameworks and ML models, leading high-impact projects with Engineering, Product, Design, Data Engineering and Research & Insights teams, and fostering a data science culture through training and mentorship.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. They are seeking an exceptional Solutions Engineer who collaborates with the enterprise sales team and regional channel partners to understand customer needs, strategize scenarios, deliver compelling demos, and drive deals to closure. The role aims to ensure Atlassian’s solutions meet client demands, contributing to customer success and Atlassian’s growth. The team serves more than 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, emphasizes value selling and a culture of teamwork—“play as a team”—where employees work with Atlassian, not for Atlassian, with strong earnings potential from enterprise opportunities in cloud and AI. Responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

Atlassian offers flexibility and a distributed-first model, allowing work from office, home, or a mix, and hires globally wherever there is a legal entity, with interviews and onboarding conducted virtually. The company is seeking an exceptional Solutions Engineer who will collaborate with the enterprise sales team and regional channel partners to understand customer needs, strategize around scenarios, deliver compelling demonstrations, and drive enterprise deals to closure. With more than 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—Atlassian emphasizes value selling and a team-based culture where employees work with Atlassian, not for Atlassian. The role offers high earnings potential with enterprise white space opportunities, selling impactful products at the forefront of cloud and artificial intelligence utilization. Key responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. They are seeking an exceptional Solutions Engineer who will work with the enterprise sales team and regional channel partners to understand customer needs, strategize, deliver compelling demonstrations, and drive enterprise deals. This role ensures Atlassian’s solutions meet client demands, contributing to customer success and the company’s growth. The team profile notes over 300,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, emphasizes value selling and the culture of “play as a team” where employees work with, not for, Atlassian, and highlights opportunities in cloud and AI with high earnings potential. Key responsibilities include strategic technical engagement, identifying cross-product opportunities, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy, all to map customer challenges to Atlassian’s value propositions and solutions.

At Atlassian, you can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity, giving you control over family, personal goals, and priorities. The Principal Enterprise Delivery Manager leads Atlassian’s largest and most complex cloud migrations as the primary stakeholder, acting as a strategic advisor and technical consultant to senior customer decision-makers while coordinating with Sales, Solutions, Support, Product Management, Channel Partners, and Engineering. The role requires business acumen and technical fluency, with expertise in developing customer cloud strategies and enabling adoption of cloud features including AI, and an understanding of data movement, system integration, and migration outcomes. Key responsibilities include end-to-end migration strategy, risk readiness assessments and remediation, technical architecture around APIs/webhooks/automation, trusted advisory to executives, and governing the migration lifecycle from discovery to go-live with measurable outcomes. Additional expectations cover driving accountability, stakeholder communications, escalation management, team leadership and enablement, maintaining a data-driven consultative mindset, staying ahead of industry trends, and proposing innovative solutions to business challenges.

The Security Testing team partners with Atlassian internal teams globally to provide innovative and holistic security testing for Atlassian products, platforms, and customers. The role supports the security team, engineers, and customers by performing high-quality manual penetration testing and code reviews to provide world-class technical assurance. Atlassian offers flexible, distributed work options (office, home, or a mix) and hires in any country with a legal entity, with virtual interviews and onboarding. The role involves technically validating Atlassian’s security controls and collaborating closely with security and engineering teams, with a focus on vulnerability hunting beyond automated tools. Because the work with product engineering teams is close, the ability to read and understand code is important, with Java, Go, and Python being the most common languages.

- The Security Testing team partners with Atlassian internal teams globally to deliver innovative, holistic security testing for Atlassian products, platforms, and customers, including high-quality penetration testing and code review. - The role supports the security team, engineers, and customers by providing technical assurance through manual penetration testing and code review. - Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity; interviews and onboarding are conducted virtually as part of being a distributed-first company. - You will validate the state of Atlassian’s technical security controls and work closely with security and engineering teams, focusing on vulnerability hunting that goes beyond typical automated tools. - Reading and understanding code is important because products use multiple languages, with Java, Go, and Python being the most common.

Zendesk is seeking an Enterprise Account Executive for North & East India to drive top-line revenue by acquiring new enterprise customers and expanding existing partnerships in the SaaS space. The role involves creating quarterly territory plans, cross-selling, managing C-level relationships, and leading complex, multi-month sales cycles with proof-of-concept stages to build a robust pipeline and accurate forecast. Candidates should have a BA/BS or equivalent, 10+ years in cloud/software B2B sales with a proven quota track record, experience selling to VP/C-level executives, and familiarity with Salesforce, Outreach, Clari, Seismic, and Looker, plus willingness to travel. The position lists the NCR region as the base but notes Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra, with a hybrid work model and travel requirements. Zendesk emphasizes fairness, inclusion, and equal opportunity, notes that AI screening may be used, and offers accommodations for applicants with disabilities upon request.

Zendesk is hiring a Director of Sales to lead India’s Enterprise and Commercial segments, build high-impact strategies, mentor a team of AEs, serve as an executive sponsor for major partnerships, and help drive the company’s hyper-growth across India and beyond. The role focuses on growing top talent, driving strategic enterprise growth through complex, value-based deals, shaping market strategy, and ensuring pipeline and forecasting excellence using methodologies like MEDDPICC. Core requirements include 10+ years of leadership in B2B SaaS enterprise sales with at least 7 Enterprise AEs, a proven track record of quota attainment, experience with multi-product cycles and C-suite engagements, and proficiency with MEDDPICC and sales tools (Salesforce, Clari, Outreach). The position is based in Bangalore or Mumbai (Karnataka or Maharashtra) with travel as needed, and nice-to-haves include President’s Club recognition and deep CX or AI enterprise expertise. Zendesk emphasizes a hybrid work model, equal opportunity and inclusion, and notes that AI screening may be used in the hiring process.