Top Tech Jobs & Startup Jobs

The Finance Systems & Automations Manager designs and implements integrations and automations across Finance, Accounting, People, and Recruiting, improving operational efficiency through AI-driven workflows.

Lead cross-functional initiatives to drive multimillion-dollar revenue: partner with product and engineering, own data-labeling operations for strategic projects, provide executive updates, and solve high-impact operational and product problems.

The Support Specialist resolves contributor inquiries, communicates effectively, documents issues, and identifies workflow improvements in a fast-paced environment.

Lead high-impact initiatives for Scale's Generative AI unit: own customer pipelines, design data taxonomies, build pipeline infrastructure and analytics, manage and coach global teams, partner cross-functionally, and report progress to executives to drive revenue and model improvements.

The Support Systems Specialist manages and optimizes Zendesk configurations, designs routing logic, collaborates with teams, and enhances operational efficiency in support systems.

Build and scale an enterprise Generative AI platform. Own large product areas across backend and frontend, develop reliable Python backend services, integrate LLMs, vector databases, and AI infrastructure, work with distributed systems and data pipelines, and ship features quickly while collaborating with product, ML, and infrastructure teams.

Lead corporate and product communications for Scale’s enterprise AI business: craft narratives for product launches, customer and partner announcements, and executive visibility; develop media strategies and press materials; coordinate joint messaging with partners; build reporter relationships; collaborate across legal, policy, marketing, and social; prepare executives for external engagements; run multi-channel campaigns and monitor coverage to refine communications impact.

Lead and scale a multidisciplinary engineering organization to build the Physical AI Data Engine. Own data collection infrastructure, teleoperation systems, ML training pipelines, evaluation frameworks, annotation tooling, and cross-functional alignment with Operations and GTM to productionize robotics and embodied AI workloads.

Lead long-term product strategy and commercialization for Physical AI data products. Collaborate with researchers, ML engineers, operations, and GTM to identify market opportunities, build business cases, conduct customer and competitive research, and drive cross-functional initiatives. Hire, coach, and manage product teams while delivering data-driven strategies to scale revenue and support customer research needs. Role based in San Francisco with up to 30% travel.

Lead strategic initiatives for data collection projects to drive revenue, ensure operational efficiency, and manage diverse global teams.