About the job
This is a role for someone who wants to own outcomes, not just track them. You'll embed directly with the sales leaders who own a public sector market, working backwards from their top priorities to decide where engineering can change the outcome - and getting a high-caliber engineering team into the room early, before problems become escalations. It's a seat with real access: you'll build trusted relationships with senior sales and solution leaders, shape what gets built, and see your work accelerate how governments, healthcare and research organizations, educational institutions, and mission-critical agencies adopt the cloud and AI.
Responsibilities
- Anticipate where your verticals are heading and shape strategy, getting engineering involved early where it makes the biggest difference - including where AI is the critical path
- Own the framework that decides which opportunities receive engineering investment when demand exceeds capacity, weighing scale, reuse, complexity, time-to-impact, and delivery risk
- Set and apply the bar that qualifies an engagement - scalability, reusability, multi-customer applicability, force-multiplier potential - and make the hard calls on those that don't clear it
- Work side by side with engineers through the build, making the architecture, scoping, and tradeoff decisions that determine success - you own the technical outcome, not just the schedule
- Drive co-build execution hands-on with AWS Service Teams and Partners, applying AI to accelerate delivery and create reusable patterns that benefit many customers
- Own delivery end-to-end from qualification through transfer, resolving technical and cross-team ambiguity without escalation
- Keep leadership current on investments, outcomes, and realized impact
- Influence peers and partner teams, and mentor less-experienced engineers and program managers
Qualifications
Minimum
- 7+ years of technical product or program management experience
- 6+ years of working directly with engineering teams experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience developing and executing/delivering product and technical roadmaps
- Experience owning program strategy, managing end-to-end delivery, and communicating results to senior leadership
Preferred
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience building and evaluating system-level technical design
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
- 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience leading technical initiatives and key deliverables
- Experience communicating results to senior leadership, or experience using financial models, KPIs, and data analysis to support business decisions