Overview

Reshaping industrial quality with AI, hardware, and software

Vision Sales Engineer

Location: California (field-first; hybrid when not onsite)
Territory: California (based in San Francisco)
Travel: 60–80% (factory-heavy)
Type: Full-time

About Overview.ai

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).

The opportunity (why this role is different)

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.

What you'll own

1) Territory revenue ownership (California)

• 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

2) Technical, consultative selling (vision + automation)

• 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

3) Create urgency and remove friction

• 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

4) Operate like a closer

• 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

Why we win (and why selling Overview is different)

• 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.

Support model (you're not alone)

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.

What we're looking for

• Path A: The technically sharp recent graduate

You just finished — or recently graduated from — a rigorous engineering or CS program and you're hungry to do something that matters in the real world, not just push pixels on a dashboard. You studied mechatronics, computer science, electrical engineering, robotics, or something similarly technical and you genuinely love how things are built. You're comfortable in a factory as much as in a conference room. You've done internships, research projects, or coursework that put you close to real hardware, real systems, or real AI — and you have something to show for it.

You don't need a quota history. What you need is: intellectual horsepower, the confidence to hold a room with engineers and plant managers, and the drive to own outcomes rather than wait to be told what to do. If you've always been the person in the group who figures it out — this is your role.

• Path B: The early-career technical professional ready to go customer-facing

You have one to three years in a technical role — controls, automation, robotics, computer vision, or manufacturing engineering — and you've realized you're at your best when you're in front of people, solving problems live, not sitting behind a desk writing specs. You're social, likeable, and energized by the challenge of translating complex technical concepts into clear business outcomes. You want more ownership, more upside, and a faster trajectory than a traditional engineering career path offers.

This product sells itself when the evaluation is run correctly. Your technical credibility is your unfair advantage on the factory floor — pair that with sharp communication and real drive, and you'll thrive here.

What Makes You Stand Out (for either path)

A degree from a top-tier engineering or technical university. Deep comfort with AI, computer vision, robotics, or industrial automation — whether from coursework, internships, or hands-on projects. Based in or genuinely rooted in the Bay Area, with the energy and social instincts to build relationships across one of the world's most dynamic industrial and tech ecosystems. Someone who reads fast, learns fast, and moves fast.

Compensation, equity & benefits

• 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)
• Company trips to industry events and gatherings + access to our San Francisco office
• Field-first role with remote flexibility when not onsite

Growth path

We're scaling fast (we tripled headcount last year and expect major growth again).

This role has a clear path to:

• Strategic Accounts
• Regional Lead
• Player-coach leadership
• GM-style ownership of a territory as the company scales

Field-first, high-travel (60–80%) role owning revenue and deployments across California. Strong mix of technical depth + execution + customer-facing ability.

Prioritize:

• Background in machine vision, robotics, automation, or manufacturing
• Field or customer-facing experience (Applications, Field, Solutions Engineer) OR strong potential
• Experience with real-world deployments / factory environments
• Ability to drive urgency, move deals forward, and own outcomes
• Strong communicator who can link technical solutions to ROI
• High ownership, fast-paced, startup mindset

Strong profiles:

• Early-career engineers (0–3 yrs) with strong technical foundation
• Technical professionals (1–5 yrs) in automation/vision moving customer-facing

Deprioritize:

• Pure sales without technical depth
• Pure software/research with no real-world deployment
• Low travel preference

Success signals:

• Closer mindset + execution
• Strong problem-solving in real environments
• High energy, ownership, and speed