Technical Program Manager, Reliability Engineering
San Francisco, CA | Seattle, WAFull-TimeManagerProduct / Project
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
- As our products scale and our systems grow in complexity, operational excellence becomes critical. We're looking for an experienced Technical Program Manager to own and evolve Anthropic's incident management program. You'll be responsible for how we detect, respond to, and learn from incidents. This includes building the processes, tooling coherence, and standards that ensure we operate reliably at scale.
- You'll partner closely with reliability and infrastructure engineering teams, establish incident response standards, drive remediation accountability, and ensure we continuously improve from every incident. You'll also support broader reliability initiatives as they intersect with incident management.
Responsibilities
- Own the end-to-end incident management program: response processes, escalation paths, communication standards, and remediation tracking
- Establish and run incident commander rotations, ensuring clear ownership and effective coordination during incidents of varying severity
- Drive followup accountability by defining how action items are captured, tracked, and completed across teams
- Partner with engineering teams to improve incident tooling coherence and adoption
- Lead incident review forums and ensure learnings are captured and acted upon
- Develop and maintain incident response documentation, playbooks, and training materials
- Coordinate with infrastructure and platform teams on reliability improvements driven by incident patterns
- Support broader reliability program initiatives, contributing expertise on incident-related workstreams
You may be a good fit if you
- Have 7+ years of experience in technical program management, incident management, or site reliability engineering
- Have led incident response programs at a technology company, ideally in a high-growth or infrastructure-intensive environment
- Are comfortable participating in on-call responsibilities and leading incident response during high-severity events
- Have experience building and scaling operational processes from the ground up
- Excel at driving accountability and followthrough across multiple teams without direct authority
- Are highly organized with a knack for bringing structure to ambiguous situations
- Have strong communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders
- Have a track record of improving reliability outcomes through process and tooling improvements
- Thrive in fast-paced environments where priorities shift and you're often working with incomplete information
Deadline to apply: None, applications will be received on a rolling basis.
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
