Top Tech Jobs & Startup Jobs

Own and architect the enterprise context layer for AI: set strategy, standards, and operating model for knowledge, metadata, provenance, and permissions; design control models for AI actions; drive platform/connector strategy; build federated stewardship and lifecycle policies; measure retrieval and grounding quality and partner with Legal, Privacy, Security, IT, and Engineering.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Lead and scale Dropbox's enterprise competitive intelligence across multiple products. Build an operating model to collect and analyze competitor activity, win/loss, market shifts, and field signals. Deliver executive briefings, battlecards, alerts, and decision-ready recommendations to Sales, Product, and GTM teams. Own and modernize the win/loss program, partner cross-functionally to improve differentiation and enablement, and use AI and automation to measure and scale program impact.

Lead Dropbox's enterprise competitive intelligence across multiple product lines. Build an operating model to collect, analyze, and distribute competitive and market insights. Produce executive briefings, battlecards, win/loss analysis, and actionable recommendations to inform sales, product, and GTM strategy. Modernize programs using AI, automation, and research platforms while partnering cross-functionally to measure impact and enable customer-facing teams.

The Infrastructure Software Engineer will build and optimize systems managing vast data, collaborate with teams for reliability, and handle operational issues.

The Senior Infrastructure Software Engineer will build scalable systems, manage large data, and innovate solutions for performance and reliability, impacting millions of users.

Own the full sales cycle for assigned territory: prospect, build pipeline, qualify using value-selling frameworks, close and renew deals, forecast accurately, and influence GTM and product strategy for new offerings like Dash through cross-functional collaboration.

Lead technical pre-sales for Dropbox in Japan and Korea: run discovery, design secure integrations, deliver demos, pilots and proofs-of-concept, advise on APIs, identity, security and migrations, enable sales and partners, and represent customer needs to product and engineering.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.