Top Tech Jobs & Startup Jobs

Lead post-sales technical implementations for enterprise customers of the DX platform, design custom integrations, map platform architecture into customer workflows, run technical workshops, advise on developer experience and deployment best practices, and relay customer technical feedback to Product and Engineering to influence the roadmap.

Lead and grow a high-performing ML team to design and deliver end-to-end AI features for DevAI products. Drive LLM integration, prompt engineering, technical strategy, project delivery, stakeholder alignment, and process optimization while mentoring engineers and managing performance.

Manage a book of 45-75 mid-market accounts to drive net new growth and expansion against a $2-4M quota. Lead cross-functional deal teams, build executive relationships, apply MEDDPICC to qualify and close complex multithreaded SaaS deals, negotiate contracts, source and qualify pipeline, provide accurate forecasting, and collaborate with partners and internal teams. Travel occasionally.

Lead and scale Sales Development Managers and SDR teams across AMER & EMEA to generate pipeline for Strategic and Enterprise accounts. Build and execute account-based prospecting, drive operational rigor, use data and AI to optimize performance, recruit and develop leaders, and align with AEs, Marketing, and Partners to meet pipeline and revenue goals.

Lead and scale a high-performance sales culture, execute the growth strategy for Emerging Markets, and partner with C-suite executives to drive transformations in enterprise agility and cloud solutions.

Drive net-new enterprise sales across AMER and LATAM accounts. Partner with SDRs, manage proofs of concept, build business cases, and close deals while establishing DX as a strategic, org-wide solution. Focus on accounts with 100–750 engineers and work closely with cross-functional teams to ensure customer success and expansion.

Sell DX/Atlassian SaaS to AMER and LATAM accounts: prospect, qualify, run demos and POCs, own full sales cycle, close net-new and expansion deals, forecast pipeline, and translate customer feedback into product and GTM improvements.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Set technical vision and build AI foundations used across Atlassian: prototype and write code, build scalable AI infrastructure, measure AI effectiveness, provide context and cost-efficient compute, partner with product teams, and mentor senior engineers.

Partner with Enterprise Account Executives to generate and qualify pipeline for large, complex customers through outbound prospecting (email, social, video, calling). Meet setting, conversion, and quota goals while collaborating with sales, marketing, partners, and operations. Use sales tools (SFDC, Gong, Outreach, LinkedIn Navigator) and develop deep customer understanding.