AI Data Engineer Jobs in San Francisco, CA
AI Data Engineer jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, driven by demand from tech platforms, biotech firms, and enterprise AI companies. Employers actively hiring include Amazon Web Services, Genentech, and Innovaccer. See the openings below and apply to the ones that match your experience.
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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.
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Find AI Data Engineer JobsAI Data Engineer Job Market in San Francisco
Who's Hiring
- Amazon Web Services43

- Genentech21

- Innovaccer21

- Rippling16

- Pinterest11

Top Industries Hiring
- Technology & Software
AI Data Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a ai data engineer job in San Francisco?
The strongest path into San Francisco's ai data engineer market is targeting the city's dense cluster of AI-native startups, cloud infrastructure companies, and biotech firms in SoMa and Mission Bay. Candidates with hands-on experience in large-scale data pipelines, ML feature stores, or real-time inference infrastructure stand out. Familiarity with the tools these companies actually use, such as Apache Spark, dbt, or Databricks, gives applicants a concrete edge over generalists.
Which companies hire ai data engineers in San Francisco?
San Francisco ai data engineer roles are posted by Amazon Web Services, Genentech, and Innovaccer and others right now, based on current listings on Migrate Mate as of September 2026. The local market includes a mix of well-funded AI startups, large cloud and enterprise software companies, and life sciences firms building ML-driven data platforms.
Are there remote ai data engineer jobs in San Francisco?
Yes, ai data engineering is well-suited to remote and hybrid arrangements since the work is primarily code- and pipeline-based rather than on-site. About 77% of ai data engineer openings tied to San Francisco are remote or hybrid as of September 2026, reflecting the city's tech-forward employer culture. Roles focused on data modeling, pipeline development, and ML infrastructure tend to offer the most location flexibility.
How can I get a ai data engineer job in San Francisco with little or no experience?
The most realistic entry path locally is targeting junior data engineer or analytics engineer roles at San Francisco's mid-stage startups, which often value portfolio projects and open-source contributions over formal credentials. Companies in SoMa and the Financial District frequently hire for data analyst or data platform associate positions that ladder into ai data engineering work. Building public projects on tools like Airflow, BigQuery, or LLM orchestration frameworks and contributing to local tech meetups strengthens a candidate's profile meaningfully.
Which industries hire the most ai data engineers in San Francisco?
San Francisco ai data engineer roles concentrate in Technology & Software, based on current listings on Migrate Mate as of September 2026. The city's position as a global hub for AI research, cloud computing, and biotech drives sustained demand for engineers who can build and maintain the data infrastructure these sectors depend on.
Related Jobs in California
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