Top Tech Jobs & Startup Jobs

Own and operate the Workforce Planning operating system: plan and run governance forums and reporting, track milestones/dependencies/risks, enable adoption of tools and outputs, package and distribute insights, coordinate cross-functional delivery, build templates/playbooks, run training, and prepare executive materials to ensure consistent, scaled workforce planning operations.

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

Own and operate the Workforce Planning operating system: manage planning cycles, governance, executive reporting, enablement, adoption, cross-functional coordination, and delivery tracking to ensure consistent, scalable workforce planning outcomes.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

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 cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

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.

Lead and scale Product Marketing operations: build operating models for messaging lifecycle, portfolio and roadmap visibility, PMM launch governance, cross-functional decision rights, templates, reporting, and AI/automation-enabled workflows to improve launch readiness and go-to-market execution.

Build and run Product Marketing operating systems to improve planning, portfolio visibility, messaging lifecycle, launch governance, and cross-functional accountability. Create templates, roadmaps, readiness criteria, and automation-enabled workflows; partner across functions to codify roles, decision rights, and handoffs; measure adoption and continuously improve processes to enable clearer, more consistent go-to-market execution.