San Francisco, California, United States · On-site
$100k–$235k/yr
Senior+$56B raised
The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI).…
About the role We are looking for a Compensation Programs Lead to own and drive our core compensation programs end-to-end. This is a high-impact individual contributor (Super IC) role at the intersection of strategy and …
San Francisco, California, United States · On-site
Senior
Forward Deployed Engineers at Dynamo AI work directly with enterprise customers to deploy Dynamo’s flagship products (DynamoEval, DynamoGuard, AgentWarden) into real-world client environments. Sitting at the intersection…
Skills: Distributed Systems, Kubernetes, API Integration, Platform Engineering, Generative AI
San Francisco, California, United States · On-site
$125k–$175k/yr
Senior
Overview The Virtual Technology Executive (VTE) serves as a strategic technology advisor and trusted partner to Abacus clients across the financial services sector, including hedge funds, private equity firms, venture ca…
San Francisco, California, United States · Remote OK
$33/hr–$45/hr
Entry level$1.9B raised
Company Description The RRS Group, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acqu…
Skills: Sql, Python, Etl/Elt Processes, Data Visualization, Data Validation
Crucibl
AI Strategist
San Francisco, California, United States · Hybrid
Mid levelVisa sponsorship
Why Crucibl Management consulting is a $400B industry built on selling intelligence-for-hire. The model is breaking - not slowly, but now. The biggest frontier in enterprise AI isn't better models. It's judgment at scale…
Skills: Strategy Consulting, AI Implementation, Client Relationship Management, Problem Structuring, Product Strategy
San Francisco, California, United States · Remote OK
$150k–$170k/yr
Senior
Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology - helping deliver better he…
Skills: Sql, Data Modeling, Python, Apache Spark, Databricks
San Francisco, California, United States · On-site
$50/hr–$60/hr
Senior+
Benefits: 401(k) AI Infrastructure Engineer / MLOps San Francisco Bay Area, CA (100% Onsite) EITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms runn…
Skills: Linux Systems Administration, Python, Kubernetes, AWS EKS, Ansible
Rippling
Head of Automated Growth
San Francisco, California, United States · Hybrid
$220k–$275k/yr
Senior
About the role Scaling Rippling into the billions of revenue requires tremendous out of the box thinking + execution across our entire growth engine and 30+ products. We're looking for a Head of Growth to find + scale ne…
Skills: Growth Marketing, SEO, AI Search, Conversion Rate Optimization, Automated Campaigns
San Francisco, California, United States · Remote OK
$120k–$140k/yr
Senior
About the Team The Forward Deployed Team is our primary customer-facing unit, acting as the crucial bridge between our core product and our enterprise clients. This fast-moving team manages the end-to-end lifecycle of en…
San Francisco, California, United States · On-site
$150k–$250k/yr
Senior$110M raised
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from developm…
San Francisco, California, United States · On-site
$150k–$250k/yr
Senior$110M raised
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from developm…
Skills: Full-stack Engineering, 3D Rendering, WebGL, Python, TypeScript
San Francisco, California, United States · On-site
$150k–$250k/yr
Senior$110M raised
About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from developm…
Performance Analyst II (1805) - Controller's Office - (164697)
San Francisco, California, United States · Hybrid
$126k–$153k/yr
Mid level
Company Description Appointment Type: Permanent Exempt (PEX), Category 18. This position is excluded by the City Charter from the competitive Civil Service examination process and shall serve at the discretion of the App…
Skills: Quantitative Data Analysis, Qualitative Data Analysis, Process Improvement, Project Management, Stakeholder Engagement
San Francisco, California, United States · On-site
$141k–$177k/yr
Mid level
Company Description Application Opening: June 3, 2026 Application Deadline: Continuous until filled. Apply Immediately. This job announcement will close at any time, but not earlier than 11:59PM PST, Wednesday, June 17, …
About the role At Rippling, data is at the heart of our business and the Revenue Operations team leverages this data to provide the insights that have made Rippling one of the fastest growing companies in the world. We a…
Skills: Analytical Modeling, Conceptual Problem-Solving, Stakeholder Management, Microsoft Excel, Google Sheets
Rippling
Senior Software Engineer, Backend - Rippling AI
San Francisco, California, United States · Hybrid
$168k–$280k/yr
Senior
About the role At Rippling, we're not just building AI features, we're building an autonomous operating system for work. We're investing heavily in the next generation of enterprise AI: intelligent background automation,…
Skills: Backend Engineering, Distributed Systems, Platform Engineering, AI Agent Development, System Architecture
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers provider…
Skills: ML Infrastructure, Real-time ML Systems, Feature Stores, Model Deployment, Ranking Systems
Kiddom
Senior Machine Learning Engineer
San Francisco, California, United States · On-site
Senior
About Kiddom Kiddom is transforming K–12 education by bringing high-quality curriculum, instructional tools, and student analytics together in one coherent system. We are building Learning Intelligence Technology (LIT), …
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$100k–$235k/yr
Full-time
Medical Insurance, Dental Insurance, Vision Insurance, Short Term Disability, Long Term Disability, Life Insurance
Posted 61d ago
Apply by Dec 2
~40 hrs/week
Responsibilities
Define, build, and operate next-generation AI systems and agentic platforms on Oracle Cloud Infrastructure. Lead technical strategy and multi-team execution for scalable inference infrastructure and enterprise AI applications.
Requirements
Requires a senior staff-level engineer with deep experience in distributed systems and AI-native engineering. Must be capable of translating ambiguous goals into technical strategy while remaining hands-on in coding and design.
Full job description
The Principal AI Agent / ML Software Engineer is a Senior Staff-level, hands-on technical leadership role responsible for defining, building, and operating next-generation AI systems on Oracle Cloud Infrastructure (OCI). This person will set architecture and engineering direction for production-grade agentic AI platforms, autonomous workflows, scalable inference infrastructure, and enterprise AI applications used in large-scale, business-critical environments.
This role requires a proven engineer who can translate ambiguous product and platform goals into durable technical strategy, lead multi-team execution without direct authority, and remain deeply hands-on in design, code, reviews, operations, and incident follow-up. The ideal candidate combines deep distributed systems experience with practical AI-native engineering, including orchestration of LLMs, tools, APIs, memory, retrieval, evaluation, guardrails, and cloud services. The expectation is to ship, scale, and operate reliable, secure, observable, and cost-aware AI platform systems while raising the technical bar for engineers across the organization.
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale.
Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments.
The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases.
The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control.
Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company.
This LinkedIn page serves as Oracle’s official global company page.
Offices: 2300 Oracle Way, Austin, Texas 78741, US · 500 Oracle Parkway, Redwood Shores, CA 94065, US · 8081 Arco Corporate Dr, Raleigh, NC 27617, US · Donau-City-Strasse 7, Vienna, Vienna 1220, AT · Metalbuen 66, Ballerup, Capital Region 2750, DK
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How much do Data & Analytics jobs in San Francisco, CA pay?
Based on 2332 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$278k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in San Francisco, CA right now?
There are currently 2,910 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in San Francisco, CA?
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Anthropic, Pinterest, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in San Francisco, CA?
Yes — 1810 of the 2910 open data & analytics positions offer remote or hybrid work (379 remote, 1431 hybrid).
How do I apply for Data & Analytics jobs in San Francisco, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.