AI Product Engineer Jobs in San Francisco, CA
AI Product Engineer jobs in San Francisco concentrate in generative AI, developer tooling, and enterprise SaaS, with the densest hiring in SoMa, the Financial District, and Mission Bay. Employers actively hiring include Innovaccer, Meta, and CRUSOE. Find a role that fits below and apply directly.
Find AI Product Engineer JobsOverview
Showing 5 of 330+ AI Product Engineer jobs











The Position
Why Genentech
We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.
Who We Are
Our Data, Digital and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Opportunity
As an AI & Digital Data Product Manager, you will drive execution from strategy through implementation for a designated portfolio of advanced AI/ML pipelines and digital data products. Reporting directly to the Director AI & Digital Data Products, you will own the full product lifecycle, spearhead digital transformation initiatives, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable AI and digital data solutions.
Product Lifecycle Ownership: Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
Agile Collaboration & Digital Transformation: Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
Stakeholder Liaison: Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
Data Standards & AI Quality: Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
Architectural Guidance & Advanced Strategy: Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Backlog Management: Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
Performance Monitoring: Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.
Who you are
You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
You have 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
You demonstrate strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
You possess working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.
Preferred
Advanced degree such as an MBA or related graduate-level qualification.
Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.
Location
This role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campus
No relocation benefits are available for this posting
The expected salary range for this position based on the primary location of South San Francisco, CA is $125,200 - $232,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
See All 330+ AI Product Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Job Market in San Francisco
Who's Hiring
- Innovaccer21

- Meta11

- CRUSOE11

- Okta11

- Sigma Computing11

Top Industries Hiring
- Technology & Software77
- Science & Research7
- Banking & Financial Services7
- Education4
- Healthcare & Medical Services4
AI Product Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a ai product engineer job in San Francisco?
San Francisco's ai product engineer market centers on early-stage and growth-stage AI startups in SoMa and Mission Bay, alongside large tech firms headquartered downtown. Candidates with experience shipping AI-powered features, working with LLM APIs, or bridging ML research and production engineering stand out most. Building a portfolio of deployed projects and engaging with the local AI meetup and demo-day circuit gives applicants a concrete edge in this city's market.
Which companies hire ai product engineers in San Francisco?
Employers hiring ai product engineers in San Francisco right now include Innovaccer, Meta, and CRUSOE, based on current listings on Migrate Mate as of September 2026. San Francisco's hiring base skews toward AI-native startups and the Bay Area product divisions of large technology companies, with a strong presence of seed-to-Series C companies building foundation model applications.
Are there remote ai product engineer jobs in San Francisco?
Yes, ai product engineering is well-suited to remote and hybrid work since the core output is software and product decisions rather than on-site hardware or lab access. About 74% of ai product engineer openings tied to San Francisco are remote or hybrid as of September 2026, reflecting the flexibility common across the city's tech sector. Model integration, product strategy, and technical roadmap work are the functions most frequently offered remotely.
How can I get a ai product engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is joining a small AI startup as an associate or junior product engineer, where early-stage teams are more open to candidates who demonstrate hands-on initiative. Building and shipping a side project using publicly available model APIs, contributing to open-source AI tooling, and attending events at venues like Covo or local AI builder nights signal genuine engagement with the ecosystem and help candidates get noticed by San Francisco hiring managers ahead of formal applications.
Which industries hire the most ai product engineers in San Francisco?
San Francisco ai product engineer roles concentrate in Technology & Software, Science & Research, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. San Francisco's role as the center of the U.S. generative AI ecosystem means these sectors are building net-new AI products rather than retrofitting legacy systems, which drives sustained and competitive demand for ai product engineers in the city.
Related Jobs in California
See All 330+ AI Product Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs