Top 78 Infrastructure manager Jobs in San Rafael, Ca

Evals Infrastructure Tech Lead / Manager
Anthropic —San Francisco, CA
- $500,000 - $850,000 a year
- Hybrid work
- Management
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
7d
Identity and Access Management Administrator
iRhythm Technologies, Inc. —San Francisco, CA
- $78,000 - $98,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
Quick Apply
Senior Manager, Core Infrastructure
UJET —San Francisco, CA
- $170,000 - $190,000 a year
- Remote
- 5 years
- Mentoring
- Senior level
- Health insurance
- Dental insurance
Senior Manager, Site Reliability Engineering - Infrastructure Platform
Okta —San Francisco, CA
- $232,000 - $319,000 a year
- Hybrid work
- Computer Science
- 3 years
- AWS
- Health insurance
- Dental insurance
Engineering Manager, Platform - Cloud Infrastructure
Valon Tech —San Francisco, CA
- $241,500 - $284,000 a year
- Email
- Remote
- AWS
- Product management
- Mentoring
- Commuter assistance
- Health insurance
Quick Apply
Engineering manager, cloud infrastructure
Watershed Technology —San Francisco, CA
- $239,700 - $282,000 a year
- Full-time
- Hybrid work
- Office
- Recruiting
- 1 year
Engineering Manager, Serverless Networking Infrastructure
Google —San Francisco, CA
- $207,000 - $301,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Manager, Site Reliability Engineering
Okta —San Francisco, CA
- $204,000 - $281,000 a year
- Hybrid work
- Computer Science
- Office
- 3 years
- Health insurance
- Dental insurance
IT Infrastructure Manager
Lyell Immunopharma —San Francisco, CA
- $175,000 - $195,000 a year
- Bachelor of Science
- DevOps
- System design
Quick Apply
Capacity Management Analyst (1 of 2)
University of California San Francisco —Emeryville, CA
- Full-time
- Computer science
- Computer Science
- Customer service
Manager PEPI , IT M&A Infrastructure
Alvarez and Marsal —San Francisco, CA
- $125,000 - $190,000 a year
- Full-time
- Up to 50% travel
- 5 years
- Writing skills
- AD&D insurance
- 401(k)
Senior Engineering Manager, AI Platform
Rippling —San Francisco, CA
- $207,000 - $345,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Mentoring
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —San Francisco, CA
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
Engineering Manager, Model Infrastructure
Harvey —San Francisco, CA
- $260,000 - $340,000 a year
- Full-time
- Hybrid work
- 8 years
- Mentoring
- Recruiting
- Health insurance
- Dental insurance
8d
Recruiting Operations Manager
Harvey —San Francisco, CA
- $131,300 - $196,900 a year
- Full-time
- Hybrid work
- 5 years
- System design
- Analysis skills
- Health insurance
- Dental insurance
Senior Engineering Manager, Cloud Infrastructure
Rippling —San Francisco, CA
- $207,000 - $362,250 a year
- Full-time
- Hybrid work
- Office
- AWS
- Mentoring
Engineering Manager - Platform
Mindbody —San Francisco, CA
- $151,000 - $201,000 a year
- Remote
- Azure
- Mid-level
- 3 years
Quick Apply
4h
Engineering Manager, Platform
Airbyte —San Francisco, CA
- $217,000 - $282,000 a year
- Full-time
- Hybrid work
- 5 years
- Office
- Mentoring
- Commuter assistance
- Paid parental leave
Engineering Manager - Control Plane
Lambda —San Francisco, CA
- $330,000 - $440,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Mentoring
- Health insurance
- Dental insurance
Engineering Manager, Production Engineering
Harvey —San Francisco, CA
- $260,000 - $340,000 a year
- Full-time
- Hybrid work
- Azure
- 5 years
- AWS
- Health insurance
- Dental insurance

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Evals Infrastructure Tech Lead / Manager

Anthropic -
San Francisco, CA

Apply Now

Job Details

$500,000 - $850,000 a year
7 days ago

Benefits

Parental leave
Flexible schedule

Qualifications

Statistics
Technical engineering
Time series models
Rust (programming language)
Management
Managing projects in an engineering role
High availability solutions design
Coaching
Team development
Data caching
Managing engineering teams
Bachelor's degree
Cloud infrastructure implementation
Distributed systems
Team training
Developing and maintaining backend systems
Time Series Analysis
Managing projects
Distributed computing
Benchmarking
Senior level
Model evaluation
Communication skills
Python
Technology infrastructure engineering
High availability
Staff development
Managing tech infrastructure teams

Full Job Description

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

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We're looking for an experienced tech lead to join our Evals Infrastructure team, building the systems that let us measure what our models can actually do. Evaluation is how we know whether a model is safe to ship — you'd own the infrastructure that makes those measurements fast, reliable, and trustworthy at scale. In this role you'll work at the intersection of inference, research and infrastructure engineering: managing the large scale distributed systems that orchestrate evals for our frontier models, building and scaling the harnesses researchers use to design and run evals, making results reproducible and interpretable, and ensuring eval signal is available where decisions get made. Your work directly shapes what we build and what we don't.

Responsibilities

Lead the team building the distributed systems that schedule, orchestrate, and execute evals for our frontier model training
Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work
Build and scale the harnesses researchers use to define, run, and iterate on evals
Make eval results trustworthy — determinism, reproducibility, and honest uncertainty quantification on reported metrics
Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made
Contribute directly as an engineer while managing and growing the team, prioritizing its work, and coaching your reports

You may be a good fit if you

Have led technical projects end-to-end on large-scale distributed systems, and have 1+ years managing engineers (or tech-lead-with-reports experience)
Are strong in Python and Rust
Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets
Care about measurement quality, not just pipeline uptime — you'd notice if a metric moved for the wrong reason
Communicate well with researchers and can translate research needs into infrastructure
Are deeply interested in the transformative effects of advanced AI and committed to safe development

Strong candidates may have

Worked on LLM inference or training infrastructure
Experience with eval or benchmarking systems, especially agentic evals requiring sandboxed execution
Working statistical literacy — variance, confidence intervals, sample-size sufficiency for noisy metrics
Experience with observability and regression detection over time-series metrics

Sample Projects

Rebuilding the eval orchestration layer to cut wall-clock time on the pre-train eval suite
Designing compute allocation and scheduling so eval suites fit inside a fixed fraction of a production run's chip-hours
Adding rigorous uncertainty estimates to top-line dashboard metrics so checkpoint-to-checkpoint comparisons are actually decision-grade
Building sandboxed execution infrastructure for agentic evals

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:

$500,000 - $850,000 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 @anthropic.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.

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.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply Now

Refine Your Search

infrastructure manager jobs in san rafael, ca

Evals Infrastructure Tech Lead / Manager

Identity and Access Management Administrator

Senior Manager, Core Infrastructure

Senior Manager, Site Reliability Engineering - Infrastructure Platform

Engineering Manager, Platform - Cloud Infrastructure

Engineering manager, cloud infrastructure

Engineering Manager, Serverless Networking Infrastructure

Manager, Site Reliability Engineering

IT Infrastructure Manager

Capacity Management Analyst (1 of 2)

Manager PEPI , IT M&A Infrastructure

Senior Engineering Manager, AI Platform

US Tech - AI Engineering Manager

Engineering Manager, Model Infrastructure

Recruiting Operations Manager

Senior Engineering Manager, Cloud Infrastructure

Engineering Manager - Platform

Engineering Manager, Platform

Engineering Manager - Control Plane

Engineering Manager, Production Engineering

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