Senior Technical Program Manager (AI Platform)

Sentry

United States

On-site

USD 150,000 - 190,000

Full time

8 days ago

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Benefits offered by this job

Competitive Compensation & Equity
Health Insurance (Medical, Dental, Vis
401k Plan
Paid Parental Leave
Flexible PTO
Professional Development Stipend
Commuter Stipend
Wellness Benefits
Charitable Matching Program

Job summary

Sentry is seeking a Senior Technical Program Manager to align AI/ML, Issues Platform, Product Design, and Ingest teams into a cohesive delivery plan. You will clarify ownership, sequence work, and manage integration risks to ensure smooth releases across multiple engineering streams.

You’ll partner with team leads to align roadmaps, improve release readiness, and communicate commitments with clear, concrete next steps. Strong technical judgment and cross-functional influence are essential.

Qualifications

  • Experience leading cross-team technical delivery programs from definition to launch.
  • Ability to connect roadmap plans across AI/ML, data pipelines, and product design.
  • Proven track record coordinating multiple engineering teams with shared ownership.

Responsibilities

  • Lead the program across AI/ML, Issues Platform, Product Design, and Ingest teams.
  • Clarify ownership, sequence work, and manage integration risks.
  • Coordinate release readiness and ensure timely, well-communicated deliveries.

Skills

Cross-team coordination
Program management
Technical judgment
Release readiness
Risk mitigation
Clear communication
Ownership of dependencies
AI/ML domain knowledge

Education

Bachelor’s degree in CS/Engineering

Tools

Jira
Confluence
Roadmapping tools
CI/CD

Job description

  • Sentry'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
  • 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
  • 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 don't improve delivery
Benefits
  • Competitive Compensation + Equity
  • Medical, Dental, Vision Insurance
  • Commuter Stipend
  • Professional Development Stipend
  • Health & Wellness Benefits
  • Charitable Matching Program
  • Flexible PTO
  • Paid Parental Leave
  • 401k Plan

Relevant experience might come from technical program management, software engineering, or another role involving ownership of cross-team technical deliveryExperience leading complex technical programs from problem definition through launchExperience coordinating delivery across multiple engineering teams with separate roadmaps and leadershipExperience building alignment across engineering, product, and design through sound judgment and follow-throughYou share information clearly so partners have the context they need to contributeClear written communication, including program updates, decision records, and escalations with explicit next stepsTechnical understanding to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effectsExperience creating or improving processes which teams adopted and sustainedYou listen to different perspectives, make tradeoffs visible, and help teams resolve competing prioritiesYou help teams bring structure to complex programs with unclear ownership or no established processYou respect team ownership while helping cross-team decisions reach resolutionYou adapt processes to teams' needs and simplify them when the value is unclearA track record of managing dependencies, driving risk mitigation, and adapting plans as conditions changeYou engage with technical details and connect architectural decisions to delivery risks and product outcomesYou raise risks early, propose practical responses, and follow throughBuilding developer tools or technical B2B productsShipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rolloutsImproving release communication across engineering, documentation, and supportPartnering with product design to coordinate design and engineering workWorking with data pipelines, ingestion, or streaming infrastructure

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