San Francisco, California, United States · On-site
$175k–$330k/yr
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analyti…
Skills: Python, SQL, LLM Development, RAG Systems, AI Agents
San Francisco, California, United States · On-site
$151k–$204k/yr
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technolo…
Skills: Cloud Architecture, Generative AI, Technical Sales Strategy, Software Development, Systems Engineering
San Francisco, California, United States · Hybrid
$314k–$372k/yr
Anyscale Platform Engineering Leader About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a po…
Skills: Engineering Management, Distributed Systems, Kubernetes, SRE, Enterprise Governance
San Francisco, California, United States · Remote OK
Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cu…
Skills: Workday Core HCM, Workday Configuration, Workday Report Writer, EIBs, Calculated Fields
San Francisco, California, United States · Hybrid
$70k–$101k/yr
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who like to forge our own path and leave the world better than we found it. Who believe that …
Skills: Retail Planning, Financial Analysis, Inventory Management, Microsoft Excel, Demand Forecasting
San Francisco, California, United States · On-site
$92k–$145k/yr
About this role: Wells Fargo is seeking a Wealth Client Investment Analytics Specialist in Wealth and Investment Management as part of Wells Fargo Advisors. Learn more about the career areas and business divisions at wel…
Skills: Investment Research, Portfolio Analysis, Performance Analytics, Scenario Modeling, Risk Evaluation
San Francisco, California, United States · Hybrid
$105k–$135k/yr
About Hubs At Hubs, we're building the intelligence layer for organizations — where anyone can build AI solutions that spread and compound across the org. Our small team is ambitious, and growing fast — led by multi-exit…
Skills: Business Operations, Strategy, Systems Thinking, Stakeholder Management, AI Deployment
San Francisco, California, United States · On-site
Overview Get Paid to Help Shape the Future of Technology We are building a community of participants for upcoming in-person data collection projects in San Francisco Bay Area. These projects help improve the next generat…
Skills: Following Instructions, Data Collection
San Francisco, California, United States · On-site
$180k–$270k/yr
About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partn…
Skills: Deep Learning, PyTorch, TensorFlow, Python, Multimodal Learning
San Francisco, California, United States · Hybrid
$150k–$225k/yr
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deplo…
Skills: SQL, Python, Git, Statistical Inference, Experimental Design
San Francisco, California, United States · Hybrid
About Langfuse Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product). We are now part of ClickHouse. We're building the "Data…
Skills: Product Marketing, Messaging And Positioning, Value Proposition Development, Developer Marketing, Competitive Analysis
San Francisco, California, United States · Remote OK
$120k–$180k/yr
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high performance agents for biological data analy…
Skills: Biochemistry, Biophysics, Bioengineering, Synthetic Biology, Virology
San Francisco, California, United States · Hybrid
$150k–$165k/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, an…
Skills: FP&A, Financial Modeling, Forecasting, Budget vs Actuals, Annual Planning
San Francisco, California, United States · On-site
About Town Town is an AI-powered assistant that connects to your tools to do real work on your behalf -- triaging your inbox, drafting in your voice, managing your schedule, and running workflows across everything you us…
Skills: Full Stack Development, Product Design, UI/UX Design, LLM Integration, Agentic UX
San Francisco, California, United States · Hybrid
$200k–$250k/yr
About Sift Sift is the data infrastructure platform for hardware engineering teams. We turn high-frequency telemetry into engineering insights for mission-critical machines: rockets, satellites, autonomous vehicles, ener…
Skills: Backend Engineering, Agentic AI, Distributed Systems, API Design, Kubernetes
San Francisco, California, United States · On-site
Company Background Specter's mission is to help automate the physical world. Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automat…
Skills: Business Operations, Sales Operations, Revenue Operations, Market Analysis, Process Design
San Francisco, California, United States · Hybrid
$200k–$250k/yr
About Sift Sift is the data infrastructure platform for hardware engineering teams. We turn high-frequency telemetry into engineering insights for mission-critical machines: rockets, satellites, autonomous vehicles, ener…
Skills: Backend Engineering, Agentic AI, Go, Python, Rust
San Francisco, California, United States · Hybrid
$73k–$94k/yr
JOB SUMMARY The Division of Geriatrics seeks to recruit a full-time Data Analyst to support the Cognitive Health Assessment Metrics Post Positive Screen (CHAMPPS) project to focus on data collection, organization, manage…
Skills: Data Collection, Data Analysis, Epic Chart Abstraction, REDCap, Excel
San Francisco, California, United States · Hybrid
$180k–$200k/yr
Perplexity is scaling at a pace few companies ever experience, and talent is the surface where our biggest bets get won or lost. We're hiring a Program Manager to sit at the center of that motion, owning the mission-crit…
Skills: Program Management, Project Management, Stakeholder Management, Executive Communication, Operational Rigor
San Francisco, California, United States · Hybrid
$5k–$10k/mo
Duration: 3 months, with a possibility of a full-time job afterwards Start date: immediately About us We're building state-of-the-art context compression. Our mission is to become the "Cloudflare for LLMs", a compression…
Skills: ML Model Training, Transformers, Applied Research, Claude Code, LLM Research
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Build AI agents and internal systems to automate end-to-end data science workflows, including hypothesis formation and query execution. Develop retrieval infrastructure and self-healing pipelines to scale the data team's output and create self-serve AI interfaces for stakeholders.
Requires 6+ years of experience in data science or engineering with strong proficiency in Python, SQL, and hands-on experience building with LLMs. Candidates must possess deep analytics judgment, product sense, and experience with dbt and warehouse schemas.
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do.
We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done.
You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship.
You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.
Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt.
Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.
6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated.
Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use.
Production-oriented Python ability - you can build and ship working tools, wrangle APIs, evaluate model outputs, deploy services, and write code others can maintain.
Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems.
Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate.
Autonomy - this is a new function. You'll help define the roadmap as much as execute it.
Experience building production AI agents or agent evaluation systems.
Experience with Snowflake, semantic layers, or metadata systems.
Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used.
Strong experimentation background, including metric design and statistical interpretation.
Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
Early-stage startup experience.
Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark.
Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible.
Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data.
Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
Offices: 115 Sansome St, Suite 900, San Francisco, California 94104, US
Based on 2256 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.
There are currently 2,807 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Williams-Sonoma, Inc., Anthropic, among others. Browse the listings above to see every active employer.
Yes — 1703 of the 2807 open data & analytics positions offer remote or hybrid work (379 remote, 1324 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
