Senior Technical Program Manager, AI Platform

at Sentry
USD 150,000-240,000 per year
SENIOR
✅ Hybrid

Tech Stack

AI Communication @ 6 Data Pipelines LLM Leadership @ 4 Machine Learning Sentry

Details

Sentry helps developers fix errors and performance issues before users notice. The company is building an AI-native future across infrastructure, product features, design, and data ingestion.

This role is based in San Francisco and requires three days per week in the office.

Responsibilities

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 to address dependencies before they delay releases.
  • Assign accountable owners, resolve open decisions, and communicate commitments.
  • Define release readiness with engineering and product owners, including evaluation results, staged rollouts, eligibility, and access requirements.
  • Include ingestion and reliability dependencies in roadmap discussions.
  • Drive risk mitigation with clear owners, contingency plans, and timely escalation.
  • Provide teams and leadership with accurate updates on 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, beginning with AI features.
  • Establish concise updates showing what is changing, when it is changing, and who needs to act.
  • Review communication and readiness gaps and improve the process.
  • Keep processes proportional to the change and remove steps that do not improve delivery.

Ways of Working

  • Bring structure to complex programs with unclear ownership or no established process.
  • Make tradeoffs visible and help teams resolve competing priorities.
  • Engage with technical details and connect architectural decisions to delivery risks and product outcomes.
  • Raise risks early, propose practical responses, and follow through.
  • Adapt and simplify processes according to team needs.
  • Respect team ownership while helping cross-team decisions reach resolution.
  • Communicate clearly so partners have the context needed to contribute.

Requirements

  • Experience leading complex technical programs from problem definition through launch.
  • Experience coordinating delivery across multiple engineering teams with separate roadmaps and leadership.
  • Technical understanding sufficient to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effects.
  • Experience managing dependencies, driving risk mitigation, and adapting plans as conditions change.
  • Experience creating or improving processes that teams adopted and sustained.
  • Clear written communication, including program updates, decision records, and escalations with explicit next steps.
  • Experience building alignment across engineering, product, and design through sound judgment and follow-through.
  • Relevant experience may come from technical program management, software engineering, or another role involving ownership of cross-team technical delivery.

Preferred Experience

  • Shipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rollouts.
  • Partnering with product design to coordinate design and engineering work.
  • Working with data pipelines, ingestion, or streaming infrastructure.
  • Building developer tools or technical B2B products.
  • Improving release communication across engineering, documentation, and support.

Team Principles

  • Make work visible by keeping plans, ownership, decisions, and next steps clear and current.
  • Raise risks early so teams have time to respond.
  • Reduce friction through practices that help teams get work done.
  • Respect ownership and support informed decisions.
  • Keep partners informed about changes to scope, timing, and readiness.

Compensation and Benefits

The base salary range is $150,000 to $240,000 USD. Actual compensation depends on factors including work location, education, experience, skills, and job-related knowledge. The role is eligible for employee benefit plans, including incentive compensation, equity grants, paid time off, and group health insurance coverage.

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