Senior Technical Program Manager, AI Platform

Sentry

United States

Hybrid

USD 180,000 - 240,000

Full time

3 days ago
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Job summary

Sentry is seeking a Senior Technical Program Manager to coordinate AI/ML, Issues Platform, Product Design, and Ingest initiatives in a fast-paced environment. This role focuses on ownership clarity, sequencing work, and release readiness across teams.

You’ll join an early TPM team in San Francisco, with three days per week in the office, and partner with engineering, product, and design to deliver cohesive product experiences.

Responsibilities

  • Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan.
  • Sequence platform capabilities, product features, and design work to address dependencies before release.
  • Help teams assign owners, resolve open decisions, and communicate commitments.
  • Define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements.
  • Bring ingestion and reliability dependencies into roadmap discussions to understand delivery risks.
  • Drive risk mitigation with clear owners, contingency plans, and timely escalation.
  • Provide leadership with an accurate view of progress, dependencies, decisions, and risks.

Job description

About SentrySoftware runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.

About the RoleSentry’s AI capabilities span infrastructure, product features, design, and data ingestion. We’re hiring a Senior Technical Program Manager to connect this work across teams, helping them make decisions, manage dependencies, and deliver a cohesive product experience.

Our AI/ML team is building a modular platform for model routing, agent execution, and evaluations. Issues Platform owns customer-facing experiences such as issue details, activity feeds, and notifications. Product Design shapes how these experiences work together, while Ingest provides the underlying data pipeline.

You’ll lead the program across these teams: clarifying ownership, sequencing work, managing integration risks, and coordinating release readiness. You’ll partner with team leads to connect their plans and resolve gaps between roadmaps.

You’ll also improve how engineering changes reach teams across Engineering, Product, and Design, along with Documentation and Support. Your goal is a lightweight process giving partners the information and preparation time they need before changes reach customers.

You’ll join an early TPM team and help shape how the function works at Sentry. Success means helping teams deliver together through technical judgment, clear communication, and practical coordination.

This role is based in San Francisco, with three days per week in the office.

What You’ll Do
AI Delivery
  • Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan.
  • Sequence platform capabilities, product features, and design work so teams address dependencies before they delay a release.
  • Help teams assign accountable owners, resolve open decisions, and communicate commitments.
  • Partner with engineering and product owners to define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements.
  • Bring ingestion and reliability dependencies into roadmap discussions so teams understand the risks behind delivery commitments.
  • Drive risk mitigation with clear owners, contingency plans, and timely escalation.
  • Give teams and leadership an accurate view of progress, dependencies, decisions, and risks.
Change Readiness

Build a lightweight process for identifying changes affecting other teams, notifying partners, and confirming readiness before release. Include documentation and support preparation in delivery planning, starting with AI features.

Establish concise updates showing what is changing, when, and who needs to act.

Review communication and readiness gaps with the teams involved, then improve the process.

Keep the effort proportional to the change and remove steps which do

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