Top Tech Jobs & Startup Jobs

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

The Research Scientist will design frontier benchmarks and datasets, collaborate across teams, communicate findings, and represent Snorkel's research externally.

Lead the Forward Deployed Engineering team to build and deliver high-quality datasets for AI initiatives, ensuring exceptional data delivery and process improvements through ML techniques.

Lead and scale Snorkel's corporate legal function: manage financings, M&A, governance, equity administration, entity formation, international expansion, outside counsel, and build scalable legal processes and playbooks.

The Staff HR Business Partner will develop and implement people strategies for the Data as a Service organization, manage HR challenges during growth, and coach leadership. Responsibilities include adapting HR programs, advising on organizational design, and fostering team cohesion in a complex delivery environment.

Senior individual contributor to build and maintain AI-first analytics: semantic layer, LLM tooling, evals, and agents; define taxonomy/ontology; architect demand/supply models; identify high-leverage data opportunities and partner with stakeholders across the company.

The Product Marketing Manager will lead go-to-market execution for the frontier lab business, driving launches, enablement, campaigns, and competitive intelligence while partnering with sales and research teams.

Lead month-end close, prepare journal entries, reconciliations, and financial statements; research and document complex U.S. GAAP technical accounting issues (ASC 606/842/718), support audits, implement controls, partner cross-functionally, and build scalable accounting processes for a high-growth SaaS/AI company.

Own and grow an Intelligence Community territory by identifying mission problems where AI creates measurable impact. Build relationships with mission operators, technical teams, and acquisition stakeholders; shape AI-enabled solutions with engineers and architects; drive opportunities from initial engagement through contract award; manage pipeline, forecasting, and multi-stakeholder coordination; and develop technical and mission credibility in AI evaluation, data development, and trusted AI deployment.

Lead end-to-end delivery of enterprise AI projects for federal customers, shaping use cases, managing cross-functional teams, ensuring timely scope/budget compliance, driving value realization, identifying expansion opportunities, and refining scalable delivery frameworks while interfacing with C‑suite and working on National Security problems.