Top 553 Engineering manager Jobs in San Francisco, Ca

Engineering Manager, Growth
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Management
- 5 years
- Data analysis skills
- Parental leave
- Flexible schedule
VP / Head of Engineering (Portfolio Company Role)
Equal Ventures —San Francisco, CA
- Full-time
- Senior level
Quick Apply
Manager, Engineering
Blue Shield of California —Oakland, CA
- $123,090 - $184,800 a year
- Full-time
- Hybrid work
- Background check
- Pass drug screening
- Office
- Work from home
13d
Engineering Manager
Hive —San Francisco, CA
- $160,000 - $250,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Engineering Manager, Enterprise
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- HIPAA
- Mid-level
- Office
- Parental leave
- Flexible schedule
Engineering Manager, Platform Security
Discord —San Francisco Bay Area, CA
- $248,000 - $310,000 a year
- Full-time
- 3 years
- AWS
- Senior level
Manager, Web Engineering
Anthropic —San Francisco, CA
- $405,000 a year
- On call
- Hybrid work
- System design
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Engineering Manager, Applied AI
Mercor —San Francisco, CA
- $250,000 - $400,000 a year
- Full-time
- System design
- Office
- Senior level
- Relocation assistance
- Health insurance
Engineering Manager, Research Productivity
Anthropic —San Francisco, CA
- $405,000 - $850,000 a year
- On call
- Hybrid work
- Office
- Bachelor's degree
- Mentoring
- Parental leave
- Flexible schedule
Sr. Manager, Engineering
Blue Shield of California —Oakland, CA
- $148,940 - $223,300 a year
- Full-time
- Hybrid work
- Background check
- Pass drug screening
- System design
- Work from home
13d
Hardware Engineering Manager
Rocky Talkie —San Francisco, CA
- $200,000 - $230,000 a year
- Full-time
- Bachelor of Science
- Office
- 3 years
- Paid holidays
- Disability insurance
Quick Apply
Engineering Manager, Safety
Discord —San Francisco Bay Area, CA
- $248,000 - $310,000 a year
- Full-time
- Management
- System design
- Recruiting
- Relocation assistance
Engineering Manager
Sigma Computing —San Francisco, CA
- $230,000 - $270,000 a year
- Full-time
- Computer science
- Computer Science
- Office
- Health insurance
- 401(k)
Quick Apply
Engineering Manager, Platform
Cartesia —San Francisco, CA
- $250,000 - $375,000 a year
- Full-time
- Office
- US work authorization
- Recruiting
- Health insurance
- Dental insurance
7d
Senior Manager, Network Engineering & Infrastructure
Zoox —Foster City, CA
- $211,000 - $292,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- Office
- Disability insurance
- Health insurance
Quick Apply
Engineering Manager, Inference Infrastructure
Anthropic —San Francisco, CA
- $405,000 - $625,000 a year
- On call
- Hybrid work
- 5 years
- System design
- Office
- Parental leave
- Flexible schedule
5d
Engineering Manager, Machine Learning (Safety)
Discord —San Francisco Bay Area, CA
- $272,000 - $306,000 a year
- Full-time
- Management
- 3 years
- Continuous improvement
Engineering Manager
Playlist —San Francisco, CA
- $165,000 - $220,000 a year
- Remote
- 3 years
- Senior level
Quick Apply
4d
Engineering Manager
Assort Health —San Francisco, CA
- $210,000 - $300,000 a year
- Full-time
- Hybrid work
- Management
- 5 years
- System design
- Commuter assistance
- Health insurance
Engineering Manager
Pump —San Francisco, CA
- $180,000 - $250,000 a year
- Full-time
- 7 years
- Azure
- Management
- Health insurance
- Dental insurance

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Engineering Manager, Growth

Anthropic -
San Francisco, CA

Apply Now

Job Details

$405,000 - $485,000 a year

Benefits

Parental leave
Flexible schedule

Qualifications

Growth hacking
Management
Full-stack development
Talent management
Data analysis skills
Talent development
Team development
Managing engineering teams
New customer acquisition
Technology industry recruitment experience
Leading team collaboration initiatives
A/B testing
Marketing controlled experiments research
Cross-functional communication

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

We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions.

Key responsibilities

Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention
Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems
Create clarity and direction for the team in a fast-moving, ambiguous environment
Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities
Take an inclusive, equitable approach to hiring and coaching technical talent
Drive the development of scalable systems for experimentation, personalization, and optimization

Minimum qualifications

Strong technical background in full-stack development with proven success building and shipping growth initiatives
Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization
Experience recruiting, scaling, and retaining engineering talent in a high-growth environment
Excellent leadership and communication skills, with ability to work effectively across functions
Demonstrated success in building a culture of belonging and engineering excellence

Preferred qualifications

5+ years of experience as an product minded engineering manager, with at least 2 years leading growth engineering teams
Experience applying machine learning and AI technologies to growth challenges
Demonstrated success implementing product-led growth strategies and viral loops at scale
Expertise in modern web development stacks and experimentation frameworks
Experience with user segmentation and cohort analysis tools
Startup experience, particularly in scaling products from zero to one

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 @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

engineering manager jobs in san francisco, ca

Engineering Manager, Growth

VP / Head of Engineering (Portfolio Company Role)

Manager, Engineering

Engineering Manager

Engineering Manager, Enterprise

Engineering Manager, Platform Security

Manager, Web Engineering

Engineering Manager, Applied AI

Engineering Manager, Research Productivity

Sr. Manager, Engineering

Hardware Engineering Manager

Engineering Manager, Safety

Engineering Manager

Engineering Manager, Platform

Senior Manager, Network Engineering & Infrastructure

Engineering Manager, Inference Infrastructure

Engineering Manager, Machine Learning (Safety)

Engineering Manager

Engineering Manager

Engineering Manager

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