San Francisco, California, United States · Hybrid
$150k–$275k/yr
About the role Cranston is building the AI back office for accounting firms, combining the judgment of experienced operators with the leverage of AI agents and reliable software. We automate the most complex manual workf…
Skills: Ai Agents, React, Swift, Typescript, Docker
San Francisco, California, United States · On-site
$200k–$350k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: Kubernetes, Custom Resource Definitions (CRDs), Kubernetes Operators, Infrastructure as Code, Terraform
San Francisco, California, United States · On-site
$175k–$240k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: Python, Node.js, FastAPI, REST, GraphQL
San Francisco, California, United States · On-site
$175k–$240k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: Python, Backend Engineering, Frontend Development, API Design, FastAPI
San Francisco, California, United States · Remote OK
$200k–$275k/yr
About us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biol…
Skills: GTM Strategy, Revenue Operations, Sales Operations, Business Operations, CRM Architecture
San Francisco, California, United States · Remote OK
$220k–$270k/yr
Are you ready to unlock intelligence? If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly …
Skills: Golang, Distributed Systems, API Infrastructure, Kubernetes, Cloud-Native Patterns
Menlo Park, California, United States · On-site
$152k–$213k/yr
We're looking for a seasoned Partner Marketing Manager with deep roots in the AI and ISV (Independent Software Vendor) ecosystem to drive co-marketing strategy and execution across our AI partner landscape. This person w…
Skills: Partner Marketing, AI Strategy, ISV Ecosystem Management, Co-marketing, Cross-functional Leadership
San Francisco, California, United States · On-site
$180k–$350k/yr
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high perform…
Skills: Crawling, Parsing, ML Performance, Retrieval Algorithms, Vector Databases
San Francisco, California, United States · Hybrid
$200k–$380k/yr
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructu…
Skills: Distributed Systems, Telemetry Pipelines, GPU Fabric Observability, Networking Fundamentals, Root-Cause Analysis
San Francisco, California, United States · Hybrid
$178k–$267k/yr
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work…
Skills: Product Strategy, Roadmap Development, Enterprise SaaS, Knowledge Management, System Design
San Francisco, California, United States · Hybrid
$130k–$145k/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: ASC 606, Month-end Close, Revenue Accounting, Process Improvement, Project Management
San Francisco, California, United States · Hybrid
$91k–$150k/yr
Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union. As part of the People Analytics team, the workforc…
Skills: SQL, Python, R, Data Analysis, Reporting
San Francisco, California, United States · Hybrid
$175k–$215k/yr
About CodeRabbit CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen A…
Skills: Product Management, Product Led Growth, Funnel Analysis, A/B Testing, SQL
San Francisco, California, United States · Hybrid
ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating sim…
Skills: Platform Engineering, Simulation Infrastructure, Reinforcement Learning, Large Language Models, AI Agents
San Francisco, California, United States · Hybrid
$200k–$500k/yr
ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue…
Skills: Model Reasoning, Data Strategy, Model Alignment, Post-training, Distillation
San Francisco, California, United States · Hybrid
$150k–$210k/yr
ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating sim…
Skills: Model Capability Design, Literature Review, Experimentation, Benchmarking, Data Pipeline Management
San Francisco, California, United States · On-site
$220k–$405k/yr
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build delightful agentic experiences wi…
Skills: Python, TypeScript, Go, Rust, Context Engineering
San Francisco, California, United States · Hybrid
$100k–$130k/yr
Who we are We are an early-stage startup disrupting the data privacy and cybersecurity market. Our patented technology empowers businesses and software engineers with a deploy-once, comply-and-secure-everywhere framework…
Skills: Golang, Distributed Systems, Cloud-Native Architecture, Domain Driven Design, AWS
San Francisco, California, United States · Hybrid
$200k–$250k/yr
About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in…
Skills: AI Strategy, Management Consulting, Executive Stakeholder Management, Business Transformation, Enterprise Architecture
San Francisco, California, United States · Hybrid
$150k–$250k/yr
About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in…
Skills: Python, SQL, Data Engineering, AI System Design, Data Pipeline Development
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Own and build core product workflows for tax preparation, bookkeeping, and practice management using AI agents. Translate complex accounting manual processes into durable software interfaces, data models, and automated review loops.
Requires strong programming skills with a track record of shipping production applications or customer-facing automation. Candidates must possess high agency, an ownership mentality, and comfort using AI coding agents as primary implementation tools.
Cranston is building the AI back office for accounting firms, combining the judgment of experienced operators with the leverage of AI agents and reliable software.
We automate the most complex manual workflows inside CPA firms: tax preparation, bookkeeping, document collection, cleanup, review, close, and client operations.
Cranston is already deployed with accounting firms across the country, helping them serve more clients, reduce bottlenecks, and give their best people time back for higher-value work.
You will work across product, design, engineering, and implementation. Some days that means mapping how tax packages move through a firm. Other days it means building a review workflow, designing an agent loop, tightening data models, or debugging why a customer workflow failed in production.
This is a product engineering role for someone who wants to build the system, not just spec it. You will turn what we learn from firms into durable product: interfaces, automations, review loops, workflow primitives, data models, and agent behavior that work across customers.
Cranston is vertically integrated across software, AI agents, and managed back-office operations. That makes the problems unusually concrete: if the product is wrong, the work breaks. If the product is right, firms can take on more clients without adding headcount.
Cranston was founded by Sean O'Bannon and Max Minsker to rebuild the accounting firm back office from the ground up.
Sean previously built ERP and ML systems at ReMatter and Databricks, seeing how much labor still sits on top of even the best systems of record. Max ran an accounting firm that filed 10,000+ tax returns and saw the same problem from inside the work itself: firms losing their best hours to document chasing, data entry, reconciliations, cleanup, and handoffs.
Our view is that the next generation of accounting firms will not run on bigger offshore teams or more disconnected point solutions. They will run on AI agents that can understand firm context, do the repetitive prep work, and leave the judgment calls to experienced accounting professionals.
We are rebuilding the back office for one of the most important professional services industries in the country.
Accounting firms are under structural pressure: talent shortages, rising client expectations, and more work than their teams can absorb.
AI agents can finally change the operating model of the firm, not just make another dashboard or point solution.
$5M raised from top tier investors.
Dozens of customers, with revenue growing quickly.
A small team where one strong engineer can own major product surfaces end to end.
Own core product workflows for tax prep, tax review, bookkeeping, client requests, and practice-management operations.
Design and build product abstractions that turn messy accounting work into repeatable, reviewable systems.
Use Cranston's internal agent platform to move from product context to working software quickly, then inspect the result until it is right.
Build interfaces, workflow states, data models, and agent behavior that hold up in live customer usage.
Codify repeatable patterns from customer deployments back into the main product.
Use the product yourself, inspect logs and data when needed, notice what is wrong, and push until the details are right.
Learn how CPA firms move work from source documents to reviewed tax packages, books, and client follow-ups.
Shadow existing Cranston workflows and identify places where better product behavior would remove real manual work.
Pick workflows and turn them into a concrete product plan: inputs, user-facing states, edge cases, success criteria, and verification steps.
Drive an AI-agent implementation loop from product plan to working feature.
Test the workflow yourself against real or realistic data, fix the rough edges, and help ship it into a live customer or internal operator workflow.
You have strong programming skills and have shipped production applications, serious internal tools, or customer-facing automation.
You have high agency and can navigate ambiguity in messy customer environments where the problem is not handed to you cleanly.
You have an ownership mentality and are willing to do whatever it takes to make something work.
You have good communication skills to explain technical tradeoffs and earn trust with non-technical stakeholders.
You are comfortable using AI coding agents as your main implementation tool and holding their output to a high bar.
AI Agents · React · Swift · TypeScript · Docker · PostgreSQL
Experience in accounting, finance, tax, audit, professional services, or another workflow-heavy enterprise vertical.
Previous founder experience or meaningful ownership at an early-stage startup.
Full-service accounting and finance AI for startups and SMBs
Cranston is a stack accounting firm. We handle bookkeeping, corporate taxes, and financial automations for SMB and mid market companies with AI software and a CPA team. We pull in context from all your company's apps & data, connect to existing systems of record and handle repetitive finance work.
View all jobs at Cranston AI (YC F25)Based on 2305 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$280k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,859 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, Anthropic, Williams-Sonoma, Inc., among others. Browse the listings above to see every active employer.
Yes — 1744 of the 2859 open data & analytics positions offer remote or hybrid work (376 remote, 1368 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.
