Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Communication @ 6
Data Pipelines
LLM
Leadership @ 4
Machine Learning
Sentry
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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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