Top Tech Jobs & Startup Jobs

Lead product strategy and technical design for privacy-safe, multi-party data clean room integrations and identity resolution. Drive cross-functional execution with Engineering, Data Science, Legal, and BD, commercialize a major product line, mentor PMs, resolve systemic API/data pipeline issues, and communicate initiatives to executives and external partners.

Lead design and ownership of scalable, testable domains in a high-scale AWS environment. Drive AI-first engineering practices, platform engineering improvements, automation of CI/CD and operational toil, perform RCA for complex incidents, mentor engineers, and make architecture decisions balancing cost, reliability, and developer experience.

Lead a full‑stack engineering team to build AI‑augmented workflows, scalable streaming and batch data pipelines, resilient backend services, and high‑quality React frontends. Drive AI-first development, test automation, observability, technical design, mentorship, cross‑functional collaboration, and on‑call system health.

The role involves managing client relationships and sales strategies, utilizing AI tools for prospect research, and achieving sales quotas in a dynamic environment.

Lead and build a new Agency Partnerships function to deepen relationships with media agencies, drive adoption of iSpot measurement and optimization products, influence product strategy, and develop scalable programs that embed iSpot into agency workflows. Act as executive evangelist, accelerate platform usage, enable AI-driven optimization, and collaborate cross-functionally to grow revenue and product adoption.

Conduct outbound and inbound prospecting to generate qualified leads for account executives. Research target accounts, perform outreach via phone and email, maintain CRM data accuracy, route opportunities to sales, and develop knowledge of iSpot technology and TV advertising to scale sales skills.

Lead AI product strategy and execution across Creative, Audience, and Outcomes products. Identify and prototype generative AI and agentic solutions, build and scale AI teams, define architectures and MLOps, embed responsible AI and governance, and partner with product, engineering, and commercial teams to deliver measurable customer and revenue outcomes.