Top Tech Jobs & Startup Jobs in NYC, NY

Lead product strategy and roadmap for Scale's Cybersecurity portfolio, building training data, RL environments, agentic task suites, and evaluation products. Define capability maps, drive infrastructure for reproducible execution and verification, establish governance and responsible-disclosure processes, recruit practitioner contributors, and partner with ML researchers, customers, and GTM to launch and measure security capabilities end-to-end.

Lead strategy, roadmap, and operations for Scale's SEAL Leaderboard portfolio. Define benchmark design, scoring, governance, and infrastructure; coordinate ML researchers, engineering, operations, and GTM; drive adoption with AI labs and enterprise customers; measure usage and business impact; and identify new evaluation products and revenue opportunities.

Own and scale Scale's coding AI product portfolio: set strategy and roadmap for benchmarks, training data, RL environments and evaluations; coordinate ML, engineering, operations and GTM; manage contributor networks, governance, contamination prevention, infrastructure, and customer engagements to convert benchmark credibility into revenue.

Source, qualify, and present partner candidates across the Physical AI ecosystem while owning partnerships CRM and internal materials. Lead outreach, discovery calls, intake triage, and support partner touchpoints. Maintain accurate pipeline records, draft communications, update partner materials, and support market research and process improvements to grow qualified pipeline and pilot conversions.

Lead architecture and technical direction for Scale's Generative AI Data Engine, embedding into high-priority Contributor teams to unblock delivery, overhaul platform infrastructure for LLM-native workloads, ensure scalability/reliability, mentor engineers, partner with product/leadership, and own large end-to-end backend, frontend, and ML system initiatives.

Manage end-to-end growth recruiting program: design and run top-of-funnel campaigns, optimize funnel conversion, own ATS (Greenhouse) and reporting, maintain hiring data integrity, lead recruiting operations improvements, and support hiring/onboarding from the San Francisco office.

Source, screen, and engage high-volume candidates to meet hiring goals; support candidates through the recruiting lifecycle; partner with recruiting and cross-functional leaders to design and execute sourcing strategies; manage evolving processes and represent the brand at occasional onsite recruiting events.

Design and implement core identity infrastructure for authentication and authorization. Build SSO, MFA, federated identity, and authorization systems (ReBAC/ABAC/RBAC). Create identity governance policies for compliance, integrate IAM with cloud services, and present technical guidance to stakeholders.

The Research Scientist will design evaluation measures for AI systems, collaborate with agencies, and publish research on AI risks.

As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.