Top Tech Jobs & Startup Jobs

Lead day-to-day delivery of enterprise AI projects, manage plans, milestones, risks, and stakeholder communication. Maintain Jira and documentation, run project cadences, resolve blockers, report progress to customers, build technical fluency in agents/RAG/knowledge bases/classification/extraction, and partner on project financials and closeout.

Partner with Sales to lead technical discovery and scoping, design GenAI solution architectures, build bespoke demos and prototypes (RAG, fine-tuning, agents), author proposals and SOWs, capture reusable patterns into reference assets, and support handoffs to delivery teams. Requires up to 25% annual travel.

Lead and grow a forward-deployed research team while doing hands-on technical work with strategic accounts. Scope training data needs, design RL environments, build evaluation frameworks, set spec and delivery standards, partner with sales and engineering, and handle high-stakes technical escalations.

The Senior Product Manager will lead development for AI data systems, ensuring product quality, improving workflows, and collaborating with cross-functional teams to deliver scalable solutions.

Maintain SOC 2 Type I and Type II compliance, coordinate audits and remediation, automate evidence collection through Vanta and Drata, manage access reviews and policy governance, support customer security questionnaires, and align controls with NIST, FedRAMP, and CMMC requirements. Partner with engineering and security teams on compliance-as-code, cloud controls, vendor risk management, metrics, incident evidence preservation, and federal readiness.

Build and maintain internal IT infrastructure as a product through automation, identity and access management, endpoint lifecycle management, networking, API integrations, workflow orchestration, internal tools, AI integrations, security scripting, alerting, and compliance automation. The role emphasizes Python or JavaScript development, Okta or Azure AD, MDM platforms, REST or GraphQL APIs, and security-first engineering practices.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

Lead and build TA operations: own recruiting tech stack and ATS, design scalable processes, reporting, and SLAs, use data and AI to improve hiring speed and quality, manage stakeholder partnerships and vendor integrations, and ensure data integrity across recruiting systems.

Lead a team in developing data-centric AI systems, bridging research and product, and ensuring operational excellence in AI projects.

Lead global supply strategy for a Data-as-a-Service marketplace: build and scale a distributed expert-contributor network, manage BPO and partnership ecosystems, drive predictive capacity planning, expand internationally, optimize multi-channel supply growth, partner cross-functionally on EC experience and GTM, and hire and grow the supply team.