Technical Program Manager

Decagon-posted 2 months ago
$150,000 - $230,000/Yr
Full-time • Mid Level
San Francisco, CA
101-250 employees
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As a Technical Program Manager, you will lead the coordination and support the delivery of multiple AI agent development projects simultaneously for our largest customers, breaking down ambiguous goals into phased roadmaps with clear milestones to ensure on-time, high-quality outcomes.

  • Coordinate cross-functional teams: Work across technical and non-technical stakeholders – Agent Product Management, Go-to-market, and engineering product – through the full agent development lifecycle, aligning requirements and timelines and proactively managing dependencies and risks.
  • Plan and track project delivery: Co-own project planning activities, including scoping requirements, prioritizing agent build roadmaps, aligning on milestones/outcomes, and identifying & clearing blockers to keep each implementation on track.
  • Ensure transparency and alignment: Facilitate clear communication across all stakeholders, providing regular status updates and surfacing issues early so there are no surprises. You’ll also occasionally interface with customer teams to align on schedules or deliverables.
  • Continually improve processes: Apply data-driven insights and lessons learned from each deployment to refine our playbooks and processes, ensuring we scale our customer implementations efficiently with high standards of quality.
  • 5+ years of experience as a program or project manager, ideally in the software-as-a-service (SaaS) industry.
  • Strong understanding of enterprise software delivery and experience driving successful customer implementations.
  • Excellent project management skills — able to manage multiple complex builds simultaneously, prioritize effectively, and deliver on schedule.
  • Exceptional communication and interpersonal skills, with the ability to build trust and coordinate across engineering, product, and customer teams.
  • Analytical and structured thinker with the ability to identify and mitigate risks, resolve issues quickly, and make data-informed decisions.
  • Technical acumen in the form of understanding technical concepts like APIs, integrations, or data flows, and can translate between technical and business audiences.
  • Thrives in a fast-paced, dynamic environment, balancing multiple implementations while maintaining a high standard of quality and accountability.
  • Hands-on AI/LLM experience: Exposure to conversational AI or large language models – for example, you’ve built side projects or shipped features with LLMs.
  • Customer-facing implementation expertise: Prior experience in a high-ownership, customer-facing role such as solutions architect or implementations lead, where you drove a project from pre-sales through post-launch.
  • Medical, dental, and vision benefits
  • Take what you need vacation policy
  • Daily lunches, dinners and snacks in the office to keep you at your best
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