Top Tech Jobs & Startup Jobs

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 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 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.

Own Scale’s end-to-end commercial acquisition of proprietary training data for AI environments. Identify high-value data domains and organizations, develop partnership and pricing structures with Legal, conduct outreach, negotiate and close transactions, and translate dataset requirements between commercial and Research teams. Build the acquisition function from the ground up, converting initial hands-on learnings into a repeatable pipeline.

Leads customer relationships and delivery of agentic AI workflows for national security customers. Scopes use cases with clients, coordinates cross-functional engineering teams, manages account plans, oversees onboarding and implementation, identifies operator needs, and drives customer success. The role requires technical fluency, contract awareness, stakeholder management, active TS/SCI clearance, onsite work near Omaha, and at least 25% travel.

The Research Scientist will design methods and experiments for AI control and monitoring, focusing on safety and robustness in advanced AI systems. Key tasks include developing monitoring techniques, researching layered control mechanisms, and collaborating with policymakers and industry experts.

Lead development of generative AI platforms for U.S. government, ensuring ethical deployment and compliance, managing the full product lifecycle, and engaging stakeholders.

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

The Senior Full-Stack Engineer will develop and scale web applications, manage frontend and backend operations, and work with AI systems and databases to enhance product experiences.

Design, build, and operate internal tools and applications with a focus on automation and scalability for various users across the organization.