Top Tech Jobs & Startup Jobs

Lead and scale the data engineering organization to build data products and architecture that power GTM (marketing and sales) strategy. Define technical strategy, enable reporting, analytics, data science, ML/AI workloads, and partner with IT, product, analytics, and GTM stakeholders to deliver production-grade data platforms and services.

Manage and grow a portfolio of enterprise customers to drive retention and expansion. Build executive relationships, lead renewals and cross-sell/up-sell motions, collaborate on account planning, forecast revenue, and communicate product value to maximize customer lifetime value.

Manage a large territory of mid-market prospects (companies with 100–750 engineers). Drive net-new enterprise deals, support proofs of concept, build business cases, partner with SDRs and cross-functional teams, and establish DX as a strategic, org-wide solution. Focus on executing the sales process, creating tailored materials, and closing high-value ARR deals.

Lead the design vision for Jira's AI transformation, managing a team of designers to create experiences where AI systems collaborate with human teams.

Lead cross-cutting product strategy and delivery for Atlassian's Guard identity and governance platform. Own ambiguous problems across identity, permissions, policy, admin, and AI/agent governance; align multiple engineering teams, prioritize foundational primitives, drive migration and wedge-driven delivery, and represent the product to enterprise customers and auditors.

Lead technical strategy and multi-year roadmap for search and vector infrastructure powering Atlassian AI. Drive cross-team initiatives for semantic search, agentic retrieval, and RAG; ensure scalable, cost-effective ML serving with strong reliability and FinOps discipline; mentor senior engineers and raise organizational engineering craft.

Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.

Lead a global onboarding team for Atlassian's Teamwork Collection, driving early customer outcomes in the first 60–90 days through change management, success planning, technical guidance, risk mitigation, scaling onboarding programs, and cross-functional collaboration while maintaining operational excellence in Gainsight.

Senior full-stack engineer who builds backend-heavy features and customer-facing React UIs. Own end-to-end delivery: design, implement, test, monitor, and iterate on scalable RESTful microservices using raw SQL and cloud patterns. Collaborate with product and design, review code, ensure reliability, security, and data correctness.

Build and maintain core ML infrastructure and platforms enabling model development, training, deployment, monitoring, and MLOps. Partner with product teams to design scalable, fault-tolerant ML systems, fine-tune LLMs, curate datasets, and drive production launches while mentoring engineers.