Apollo is the AI-powered go-to-market platform that helps revenue teams find, engage, and convert their best customers. More than 500,000 companies run their go-to-market motion on Apollo. Our engineering organization spans the US, India, and Poland, and we are rebuilding the product and the way we work around AI and agents.
You will drive technical program management for Engineering’s most complex, high-impact cross-functional programs. Reporting directly to the VP of Engineering, you’ll define how the organization plans, coordinates, and delivers its most critical initiatives.
You’ll build the operating mechanisms that make execution predictable—from planning and dependency management to risk visibility and delivery tracking—so leadership can make decisions with confidence. You don’t wait for problems to surface; you identify what’s needed, act before you’re asked, and continuously raise the bar for how Engineering executes.
- Drive the largest and most complex cross-functional programs end-to-end, from framing the problem through to landing the outcome.
- Set the standard for how complex programs are run, and raise the bar for program execution across engineering.
- Own the delivery mechanics of the organization: planning, dependency and risk management, and the operating cadence that keeps programs on track.
- Make delivery predictable and visible, with clear owners, timelines, and status that leadership can trust.
- Drive cross-team coordination, unblock dependencies, and surface and manage risk early.
- Partner with engineering and product leadership to turn strategy into sequenced, resourced plans, and keep them honest.
You use AI tools to run large programs single-handedly, from planning and tracking to status and reporting, and you build AI-driven workflows that raise your leverage and make the whole organization faster.
- Deep experience as a technical program manager driving large, complex, cross-functional engineering programs to delivery in a fast-moving software company.
- Strong technical grounding, credibility with senior engineers, and the ability to go deep on tradeoffs.
- Excellent written communication and stakeholder management across engineering, product, and the executive level.
- Strong judgment on delivery mechanics: planning, dependencies, risk, and operating cadence.
- Genuine fluency with AI tools and a habit of using them to raise leverage.
