Anthropic
Technical Program Manager, Safeguards - Launches
Anthropic, San Francisco, California, United States, 94199
Technical Program Manager, Safeguards - Launches
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 a Technical Program Manager for Safeguards focused on model launches, you’ll be the critical bridge between Research, Inference, Product, and Safety teams during high‑stakes model and product releases. You’ll drive end‑to‑end execution of Safeguards deployment for model and product launches, ensuring our safety classifiers are properly configured, deployed, tested, and scaled across all platforms while balancing capacity constraints, performance requirements, and user experience considerations.
Responsibilities
Own end‑to‑end safeguards readiness for model launches – drive all safeguards deployment activities from pre‑launch planning through post‑launch stabilization, ensuring classifier systems are properly configured, tested, and scaled for each new model release
Coordinate complex cross‑platform deployments – manage classifier rollouts across platforms, each with distinct infrastructure constraints, capacity requirements, and deployment timelines
Make real‑time technical trade‑off decisions – balance competing constraints around classifier capacity, latency impacts, false‑positive rates, and robustness requirements during fast‑moving launch cycles with aggressive timelines
Drive capacity planning and performance optimization – partner with Inference teams to model compute requirements, optimize classifier configurations (batch sizes, mesh topologies, chip allocation), and ensure we stay within overhead budgets while meeting safety requirements
Lead launch‑day war‑room coordination – serve as primary safeguards point of contact during launches, coordinating monitoring, troubleshooting classifier issues, and driving go/no‑go calls on deployment decisions
Build detailed execution plans and run‑of‑show – create comprehensive launch checklists covering classifier configurations, monitoring thresholds, alerting setup, rollback procedures, and cross‑team dependencies
Partner with product teams on co‑launch coordination – ensure new product surfaces have appropriate safeguards protections configured, tested, and deployed; whether launching independently or alongside new models
Monitor and respond to false‑positive patterns – track flag rates across customer segments, identify problematic patterns, coordinate with research teams on classifier retraining priorities, and manage exemption processes for enterprise customers
Manage transition to business‑as‑usual operations – once launches stabilize, coordinate handoff of ongoing monitoring and optimization work to sustaining engineering teams, then move to the next model or product launch as needed
Maintain technical documentation – document classifier deployment configurations, capacity estimates, performance benchmarks, and lessons learned to build institutional knowledge
You may be a good fit if you:
Have deep technical program management experience in ML/AI systems – several years coordinating complex deployments involving model inference, distributed systems, and real‑time production services at scale
Have experience with AI safety or Trust & Safety – familiar with concepts such as false‑positive/false‑negative trade‑offs, adversarial robustness, content moderation systems, or similar safety‑critical technical systems
Can navigate high‑ambiguity technical challenges – synthesize incomplete information from multiple engineering teams, identify critical‑path blockers, and drive decisions when faced with competing technical constraints and tight deadlines
Excel at rapid decision‑making under pressure – comfortable making high‑stakes trade‑off decisions with incomplete information during time‑critical launch windows, balancing safety requirements against capacity, latency, and user experience constraints
Are skilled at cross‑functional coordination in complex technical environments – proven track record managing programs spanning research, infrastructure, safety, security, and product teams, navigating competing priorities and driving alignment
Can communicate technical concepts clearly across varying levels of seniority – equally comfortable explaining classifier handoff latency to product managers, debating capacity trade‑offs with infrastructure teams, and briefing executives on launch readiness
Are comfortable with on‑call and launch coverage – willing to provide real‑time support during launch windows (including early morning/late evening as needed) and maintain availability for time‑sensitive decisions
Deadline to Apply None. Applications will be reviewed on a rolling basis.
Compensation The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
$290,000 – $365,000 USD
Logistics Education requirements:
We require at least a Bachelor’s degree in a related field or equivalent experience.
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 sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa and 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.
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. We value impact – advancing our long‑term goals of steerable, trustworthy AI – more than working on smaller 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 prioritize communication skills.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Equal Employment Opportunity As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. Employees who are categorized as protected veterans include: “disabled veteran,” “recently separated veteran,” “active‑duty wartime or campaign badge veteran,” and “armed forces service medal veteran.” We encourage all qualified candidates to apply.
Voluntary Self‑Identification of Disability We encourage you to voluntarily disclose any disabilities for compliance purposes. This information is confidential and used only to comply with federal contracting requirements.
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About the Role As a Technical Program Manager for Safeguards focused on model launches, you’ll be the critical bridge between Research, Inference, Product, and Safety teams during high‑stakes model and product releases. You’ll drive end‑to‑end execution of Safeguards deployment for model and product launches, ensuring our safety classifiers are properly configured, deployed, tested, and scaled across all platforms while balancing capacity constraints, performance requirements, and user experience considerations.
Responsibilities
Own end‑to‑end safeguards readiness for model launches – drive all safeguards deployment activities from pre‑launch planning through post‑launch stabilization, ensuring classifier systems are properly configured, tested, and scaled for each new model release
Coordinate complex cross‑platform deployments – manage classifier rollouts across platforms, each with distinct infrastructure constraints, capacity requirements, and deployment timelines
Make real‑time technical trade‑off decisions – balance competing constraints around classifier capacity, latency impacts, false‑positive rates, and robustness requirements during fast‑moving launch cycles with aggressive timelines
Drive capacity planning and performance optimization – partner with Inference teams to model compute requirements, optimize classifier configurations (batch sizes, mesh topologies, chip allocation), and ensure we stay within overhead budgets while meeting safety requirements
Lead launch‑day war‑room coordination – serve as primary safeguards point of contact during launches, coordinating monitoring, troubleshooting classifier issues, and driving go/no‑go calls on deployment decisions
Build detailed execution plans and run‑of‑show – create comprehensive launch checklists covering classifier configurations, monitoring thresholds, alerting setup, rollback procedures, and cross‑team dependencies
Partner with product teams on co‑launch coordination – ensure new product surfaces have appropriate safeguards protections configured, tested, and deployed; whether launching independently or alongside new models
Monitor and respond to false‑positive patterns – track flag rates across customer segments, identify problematic patterns, coordinate with research teams on classifier retraining priorities, and manage exemption processes for enterprise customers
Manage transition to business‑as‑usual operations – once launches stabilize, coordinate handoff of ongoing monitoring and optimization work to sustaining engineering teams, then move to the next model or product launch as needed
Maintain technical documentation – document classifier deployment configurations, capacity estimates, performance benchmarks, and lessons learned to build institutional knowledge
You may be a good fit if you:
Have deep technical program management experience in ML/AI systems – several years coordinating complex deployments involving model inference, distributed systems, and real‑time production services at scale
Have experience with AI safety or Trust & Safety – familiar with concepts such as false‑positive/false‑negative trade‑offs, adversarial robustness, content moderation systems, or similar safety‑critical technical systems
Can navigate high‑ambiguity technical challenges – synthesize incomplete information from multiple engineering teams, identify critical‑path blockers, and drive decisions when faced with competing technical constraints and tight deadlines
Excel at rapid decision‑making under pressure – comfortable making high‑stakes trade‑off decisions with incomplete information during time‑critical launch windows, balancing safety requirements against capacity, latency, and user experience constraints
Are skilled at cross‑functional coordination in complex technical environments – proven track record managing programs spanning research, infrastructure, safety, security, and product teams, navigating competing priorities and driving alignment
Can communicate technical concepts clearly across varying levels of seniority – equally comfortable explaining classifier handoff latency to product managers, debating capacity trade‑offs with infrastructure teams, and briefing executives on launch readiness
Are comfortable with on‑call and launch coverage – willing to provide real‑time support during launch windows (including early morning/late evening as needed) and maintain availability for time‑sensitive decisions
Deadline to Apply None. Applications will be reviewed on a rolling basis.
Compensation The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
$290,000 – $365,000 USD
Logistics Education requirements:
We require at least a Bachelor’s degree in a related field or equivalent experience.
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 sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa and 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.
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. We value impact – advancing our long‑term goals of steerable, trustworthy AI – more than working on smaller 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 prioritize communication skills.
Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Equal Employment Opportunity As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. Employees who are categorized as protected veterans include: “disabled veteran,” “recently separated veteran,” “active‑duty wartime or campaign badge veteran,” and “armed forces service medal veteran.” We encourage all qualified candidates to apply.
Voluntary Self‑Identification of Disability We encourage you to voluntarily disclose any disabilities for compliance purposes. This information is confidential and used only to comply with federal contracting requirements.
#J-18808-Ljbffr