Our mission is to accelerate human potential.
Squint is the Industrial AI company that turns operating knowledge into action. Our technology serves Fortune 500 leaders across manufacturing, field services, and utilities. Companies such as PepsiCo, Continental Tire, and Tenneco use Squint to capture and activate their essential tribal knowledge, standards docs, and OT data into procedures, orchestrated work, and context for AI agents to act on.
Some things to know about us:
We are obsessed with our customers, and they’ll tell you so themselves.
We raised a $40M Series B in 2025, backed by elite investors including Sequoia Capital, Menlo Ventures, TCV and The Westly Group.
Fast Company named us to their Most Innovative Companies list in 2025 and 2026.
We were named to Built In’s Best Startups to Work for in SF list.
Read more about us in Upstarts Media, Fortune, Forbes, and more.
We're hiring for AI Ops, a new role on our Strategy team focused on operationalizing AI inside Squint itself.
Squint builds an AI-native platform for our customers — this role makes sure we're using AI just as effectively to run our own company. You'll build and ship internal AI agents and workflows, own how we evaluate whether they're actually working, and partner across the company to find where AI can replace busywork with real leverage.
Build real things: You'll design, build, and ship AI agents and automations that make internal teams (Support, Ops, GTM, and beyond) faster and more effective.
Own quality, not just adoption: You'll build the evaluation frameworks and monitoring that tell us whether an AI workflow is actually working — not just whether it's live.
Find the leverage: You'll partner cross-functionally to identify which workflows are worth automating, and which should stay human, and make that call based on evidence.
Drive adoption: Shipping a good agent is half the job — you'll also make sure teams actually adopt and trust it.
You've actually built and shipped AI tools or agents — this isn't a roadmap-ownership role.
You're fluent with modern AI coding and agent tooling (Cursor, Claude Code, or similar).
You can talk to both a technical engineer and a non-technical operator about the same problem.
You care as much about whether something works as whether it shipped.
2-5+ years of experience in business operations, strategy, technical program management, or applied AI, with hands-on building experience.
Demonstrated experience shipping AI-powered tools, prototypes, or automations (a portfolio or examples are a strong plus).
Comfort with light coding or low-code/agent tooling.
Strong written and verbal communication skills for cross-functional influence.
Based out of our office in San Francisco, we love the energy of in-person collaboration.
Competitive Salary and Equity
Comprehensive Medical, Vision, and Dental care
Flexible PTO Policy
Lunch and Dinner Service
Wellness Benefit
Maven Family Planning Benefits
Partnership with Care.com
Mental Health Services
401(k) Retirement Plan
Pre-Tax Commuter Benefit for Parking & Public Transit
Company-wide Retreats
Subsidized Uber to and from the office
We are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!
Ready to redefine the future? Join us at Squint and be a part of something revolutionary.
Squint San Francisco, California, USA Office
140 2nd Street Suite 500, San Francisco, CA, United States, 94105
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

