Engineering Manager, Safeguards Interventions

Anthropic$405K — $485K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience managing engineering teams in ML or safety-enforcement systems
  • Experience with high-stakes, compliance-related production systems and incident management
  • Strong understanding of measurement and evaluation in complex systems
  • Ability to navigate stakeholder tradeoffs effectively, balancing safety, UX, latency, and cost
  • Deep commitment to AI safety and responsible product deployment

Responsibilities

  • Lead and develop the interventions engineering team; manage strategic roadmaps and OKRs.
  • Collaborate cross-functionally with teams in ML Infra, Research, Product, Policy, and Legal.
  • Define quality benchmarks for interventions based on measurable criteria; communicate trade-offs to leadership.
  • Ensure reliable operation of intervention systems, overseeing incident response and postmortem processes.

Benefits

  • Visa sponsorship available; support for relocation if applicable.
  • Hybrid work policy requiring a minimum office presence of 25%.
  • Inclusive application process that encourages diverse candidates.
  • Emphasis on safety and ethical considerations in AI development.
Full Job Description
About the role

The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead the Interventions team: the group responsible for what happens when a safety system fires. It owns the composable arsenal of systems that sit between our detection stack (classifiers and probes) and the user, across every Anthropic surface: 1P products, the API, and third-party clouds. This includes inline interventions for areas like bio, cyber, and acceptable usage as well as downstream areas like child safety and copyright. This team is responsible for ensuring that we evolve and drive the quality of our interventions to enable our products to grow safely.
Key responsibilities
  • Hands-on lead and grow a team of engineers; own roadmap, OKRs, and execution.
  • Drive cross-functional work with ML Infra, Research, Product, Policy, and Legal - and with cloud partners for 3P deployment.
  • Set the bar for when an intervention is good enough to ship - backed by measurement - and represent safety and product tradeoffs to leadership and external stakeholders.
  • Own production reliability for intervention and compliance systems: incident response, postmortems, SLOs, and the verification processes that prevent repeat incidents.
Minimum qualifications
  • Have managed engineering teams shipping production ML or safety-enforcement systems where the system's decisions directly affected users.
  • Have run high-stakes, compliance-adjacent production systems: comfortable with on-call, incidents, regulator-driven requirements, and building the process scaffolding that prevents recurrence.
  • Care about measurement: you've built (or insisted on) the evals that prove a system does what it claims, and you've killed things that didn't.
  • Can drive ambiguous, multi-stakeholder tradeoffs (safety vs UX vs latency vs cost) to a decision and own the outcome.
  • Care deeply about AI safety and want your team's work to be the reason advanced models can be deployed at all.
Preferred qualifications
  • Have worked in trust & safety, integrity, or abuse-prevention engineering at scale.
  • Experience with compliance-driven systems (child safety, copyright, age assurance) and the legal/policy interfaces they require.
  • Have shipped systems across multiple cloud providers and understand the parity/verification problems that creates.


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.

Annual Salary:

$405,000-$485,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from [redacted].com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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