Overview
Vision Sales Engineer - San Francisco
4mo ago
200000 –250000 USD / yearUSARemoteaicomputer visiongpu
Sales Engineer role focused on expanding AI computer vision solutions in manufacturing across California.
Responsibilities
- This is not a cold-start, 0→1 sales role. We already have major customers, executive buy-in, and proven deployments running in real factories today. Your job is to take that momentum and multiply it across California:
- Turn warm introductions into live factory projects fast
- Convert first-station wins into repeatable rollouts across lines and sites
- Drive urgency and close expansions that don't "drift to next quarter"
- Unblock real-world constraints (technical, operational, organizational) that slow velocity
- You'll be selling at the exact moment manufacturing leadership is demanding AI outcomes. This is one of the easiest and most tangible ways for a factory to "enter AI" because it directly improves yield, scrap, throughput, and labor.
Requirements
- We are hiring for hybrid profiles who can think clearly, communicate well, and solve real-world problems , not pure engineers or pure salespeople. We're open to candidates at all career stages who demonstrate these core signals.
Conditions
- OTE: $250K (top reps earn significantly more)
- Uncapped commission with meaningful upside tied to expansion and rollout success
- Generous equity in a hyper-growth startup
- Medical insurance
- Relocation support (if needed)
- Field-first role with remote flexibility when not onsite
- Company trips to industry events and access to San Francisco office
How to apply
- If you recognize yourself in this description, you can think clearly, communicate well, and solve real problems, we'd love to hear from you.
Other
- Location: California (field-first; hybrid when not onsite) Territory: California (based in San Francisco) Travel: 60–80% (factory-heavy) Type: Full-time
- Overview.ai is bringing the cutting edge of AI computer vision to manufacturing, solving inspection problems that were previously not solvable with traditional machine vision. We're a full-stack company: we deploy GPU-powered cameras on production lines, run inference on the edge, and operate a platform that supports large fleets of devices deployed across the world.
- We're one of the fastest-growing industrial AI companies in the world. We grew ~700% last year , tripled headcount, and expect to double or triple again as demand keeps accelerating —because the product works in production: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible (not just pilots).
- Own pipeline, forecasting, and revenue outcomes for California
- Start with hunting - win new inspection points and new lines - then build into expansion as your accounts grow
- Turn customer success into aggressive expansion across factories, lines, and inspection points
- You'll be dropped into meaningful accounts early so you can hit the ground running - top logos, real budgets, real urgency
- Run high-signal discovery with Quality, Process, Automation, and Ops
- Understand how customers currently solve inspection, where incumbents fail, and how to win
- Position Overview clearly vs incumbents using real deltas: accuracy, deployability, operator usability, and platform capabilities
- Partner with applications + engineering to propose practical deployment plans that win
- Drive timelines: next steps, milestones, line access, data collection, acceptance criteria, decision makers
- Identify blockers early (process readiness, resourcing, line access, mechanical stability, integration constraints) and push them to resolution
- Own executive updates and communication cadence to keep deals moving
- Build relationships that hold: plant champions → regional leaders → global decision makers
- Negotiate and close with speed and precision
- Be relentless about follow-up and execution—no "maybe next quarter" drift
- If you own a major account, you get credit and commission for all sites in your territory—regardless of how much help we bring in
- Industry-leading AI models → higher accuracy on real-world variation
- Edge-first + production-ready → deterministic performance in factories
- A feature set competitors don't have → you can win on clear deltas (the easiest kind of selling)
- Agentic workflows → deploying cameras is easier than ever, which shortens cycles and accelerates expansions This is "delta selling" with a product customers genuinely want.
- The key to winning isn't slick talk—it's becoming a product expert, running high-signal evaluations, and helping the customer move quickly.
- This is a high-ownership role, but it is not hero mode. You'll have a dedicated applications and engineering escalation path. We do not run hero mode as a strategy.
- We also have a proven evaluation playbook and a defined path from first station to expansion—so you're not inventing the process from scratch.
- We're hiring the same quality profile across all territories. What matters is the signal , not the title or years of experience.
- Technical foundation in engineering, computer science, robotics, controls, computer vision, automation, or manufacturing
- Hands-on experience building, deploying, testing, or troubleshooting real systems
- Exposure to field environments, manufacturing, or live deployments
- Experience translating technical concepts for non-technical stakeholders (customer-facing, project teams, leadership)
- An experienced Vision Systems Engineer or Applications Engineer moving into sales engineering
- A Field Engineer or Controls Engineer with strong communication skills and customer exposure
- A Manufacturing Engineer with hands-on troubleshooting and problem-solving track record
- A top-tier recent graduate with demonstrated hands-on technical projects and communication ability
- Communication ability (high bar): Can explain technical concepts clearly to diverse audiences
- Problem-solving mindset : You dig into root causes; you don't jump to solutions
- Hands-on technical experience : You've built, deployed, tested, or troubleshot real systems
- Curiosity about how things work : You want to understand the "why" behind problems and solutions
- Real-world exposure : Field experience, manufacturing environment, or live system deployment (not just simulation or coursework)
- Initiative and drive : You own problems and figure things out rather than waiting for direction
- Based in or rooted in the Bay Area : You have relationships and genuine connection to the region's industrial and tech ecosystem
- Pure design/CAD/simulation experience
- Only theoretical or classroom experience
- Candidates who jump to solutions without understanding the problem
- Those who struggle to communicate technical concepts clearly
- We're scaling fast (tripled headcount last year and expect major growth again).
- This role has a clear path to:
- Strategic Accounts Manager
- Regional Lead
- Player-coach leadership
- GM-style ownership of a territory as the company scales