Deployment Engineer

We’re hiring a Deployment Engineer to be Squint’s technical bridge between our platform and the real world: the factory floors, job sites, and utility yards where our customers actually work.

This isn’t a configuration job. Our customers’ environments are messy and industrial - legacy systems, spotty connectivity, workers in the field wearing AR headsets instead of sitting at a desk. You’ll write real production code to make Squint’s knowledge graph and AI workflows work in that environment, for that customer, this week.

You’ll work closely with our founding engineering team, embedding directly with named accounts to turn ambiguous operational problems into shipped, working deployments.

What You’ll Do

You’ll be the engineer accountable for getting Squint live at a customer site and proving out its value. You will:

• Own deployments end-to-end: From kickoff to go-live, you’ll be the engineer accountable for getting Squint live and delivering value at a customer site - no handoffs, no hiding behind a ticket queue.
• Build, don’t just configure: You’ll write production code - integrations, custom workflows, data pipelines - to adapt Squint to each customer’s systems, equipment, and terminology.
• Go where the work is: You’ll spend time on factory floors and in the field, watching how frontline teams actually work, so you can build something they’ll actually use.
• Close the loop with product: Every deployment teaches us something. You’ll turn field learnings into clear, prioritized feedback that shapes Squint’s core roadmap.
• Earn trust at every level: From the frontline operator to the plant manager to the exec sponsor, you’ll be the person customers count on to make Squint work.

• You’re comfortable being handed an ambiguous, half-defined problem and turning it into a working system.
• You communicate as well with a maintenance technician on a factory floor as you do with a VP of Operations.
• You’re energized, not drained, by travel and time on-site - expect meaningful travel in this role., * 3+ years of hands-on software engineering experience - full-stack, backend, or infrastructure - with a track record of shipping production code.
• Experience working directly with customers or embedded in a customer’s environment (consulting, forward-deployed, or startup implementation experience is a strong plus).
• Comfort with ambiguity and a bias toward action over process.
• Genuine interest in industrial operations - manufacturing, field services, or utilities experience is a differentiator, not a requirement.

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

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.