About the role
Responsibilities:
- Direct cross-functional program delivery across engineering, product, QA, and operations, overseeing multiple large-scale technology initiatives.
- Develop and execute program roadmaps aligned with strategic business goals to ensure on-time delivery of mission-critical projects.
- Manage the end-to-end program lifecycle from planning and requirements gathering to risk management, execution, and post-launch reviews.
- Collaborate with executives to prioritize initiatives, resolve escalations, and maintain transparency through clear communication and reporting.
- Scale Agile program management frameworks to improve delivery predictability and cross-team collaboration.
- Mentor engineers and product managers, fostering a culture of accountability and continuous improvement.
- Define and track OKRs and KPIs to measure success and align with broader business objectives.
- Work with technical leads to evaluate architecture decisions, resolve blockers, and ensure tight alignment between technical and business goals.
- Use AI tools to improve velocity while maintaining quality and security.
- End-to-end delivery of concurrent cross-functional programs spanning engineering, product, QA, and operations.
- Program roadmaps tied to business outcomes, not just delivery milestones.
- Escalation management with executive stakeholders; you surface problems before they become crises.
- Agile/SAFe framework implementation across teams, improving sprint predictability and reducing delivery variance.
- OKR and KPI definition for programs you own; you're accountable for the numbers, not just reporting them.
- Risk identification, mitigation planning, and post-launch retrospectives.
Requirements:
- 8+ years total experience, with at least 4 years in a technical program or project management.
- Prior software engineering background: minimum 2 years writing or reviewing code; you need to earn credibility with engineering leads.
- Demonstrated experience running programs across geographically distributed teams.
- Comfort operating in ambiguity: you create structure; you don't wait for it.
- Strong executive stakeholder communication; you've presented to the C-suite and held your ground.
- AI-Native Operations: Proven experience or strong familiarity using AI-augmented project management platforms and advanced prompt engineering to streamline program documentation, risk registers, and executive reporting.
Strong preference:
- Experience in a SaaS product company, ideally in device management, IoT, or developer tools.
- Familiarity with the Android ecosystem: you don't need to be an Android engineer, but you should know enough to ask the right questions.
- SAFe, PMP, or equivalent certification.
- Experience managing vendor or partner relationships.