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.

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.

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.

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 design, build, and operate large-scale customer-facing web experiences (Browse, Navigate, Preview). Own multi-phase full-stack features from discovery through rollout and production. Make architecture tradeoffs, improve observability and on-call health, use approved AI-assisted workflows, align cross-team dependencies, and mentor peers.

Lead design, implementation, and operation of full-stack, customer-facing web experiences (Browse, Navigate, Preview). Drive architecture, tradeoffs, observability, testing, and on-call readiness. Partner with Product, Design, Data, Infrastructure, and platform teams, use approved AI tools responsibly, and own multi-phase rollouts, measurement, and cross-team alignment.

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.

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.

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.