Top Tech Jobs & Startup Jobs

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.

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.

Design and scale multi-cloud infrastructure for an enterprise Generative AI platform. Build integrations with customer cloud/data environments, collaborate with product and customers, deliver experiments to production, and maintain platform reliability and performance.

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

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.

Owns enterprise deal pricing execution, including financial modeling, ROI analysis, staffing inputs, pricing frameworks, and margin reporting. Builds dashboards, coordinates deal reviews across Sales, Finance, Accounting, Legal, and EPD, and tracks approvals and cycle times. Identifies process improvements, supports forecasting and P&L analysis, and contributes to pricing strategy, proposals, and value engineering initiatives.

Lead and grow a research team focused on generative AI, LLMs, post-training, evaluation, and agent/RL environments. Define multi-year research roadmaps, drive execution from prototype to deployment, collaborate cross-functionally, publish and present externally, and cultivate an inclusive, high-performing team culture.