---
title: 'Events & Partnerships Lead at Overview Corporation'
canonical: 'https://feeny.ai/job/events-partnerships-lead-overview-corporation-san-francisco-ct1avmkpvkpx'
type: 'job'
last_seen: '2026-09-13'
---

# Events & Partnerships Lead at Overview Corporation

- **Company:** Overview Corporation
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/overview/4324daf6-c2f6-4488-8c06-9cc7f56e2f51

## Job description

Events & Partnerships Lead San Francisco · Growth · Full time

## ABOUT [OVERVIEW.AI](http://OVERVIEW.AI)

[Overview.ai](http://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 growing extremely fast. Our customers love the product because it works: high accuracy, fast deployment, and an operator-friendly experience that makes real factory rollouts possible, not just pilots.

## THE OPPORTUNITY

Manufacturing is a relationship-driven industry, and the best opportunities rarely come from cold outreach. They come from trade show floors, industry associations, systems integrators, and the technology partners whose platforms sit alongside ours. We already have the product and the demand. What we do not have is one person who owns those channels. Today that work is split across leadership and happens in the gaps. This role makes it a function.

## WHY THIS ROLE IS EXCITING

- Build it, do not inherit it: No playbook, no existing team, no legacy program to maintain. You define what this function is at Overview, and you run it the way you think it should be run.
- Technical depth is the point: This is not a sponsorship coordinator role and not a traditional marketing role. Your credibility with integrators and controls engineers is the asset.
- Assets already waiting for an owner: Named technology partners, paid memberships we currently underuse, an integrator network we have not built out, and real demand from customers running in production.
- Founder access and equity upside: Direct line to leadership, and your work visibly changes the company's trajectory.

## WHAT YOU'LL OWN

- Event calendar and execution: Own our shows end to end (IMTS, Automate, Semicon, Electronica, plus customer-hosted and partner events), including booth strategy, logistics, staffing, and on-site execution, and you demo the product yourself.
- Event to pipeline motion: Build the repeatable mechanics behind every show: lead capture, structured follow-up, attribution in HubSpot, and ROI reported per event.
- Association relationships: Own our relationships with industry associations and trade organizations in the space, including the paid memberships we currently underuse.
- Technology partnerships: Own our Enterprise technology partner relationships including tier progression, joint content and co-marketing, mention approvals, and co-presence at events.
- Referral program: Build a referral path for our marketing and technology partners so brand and co-marketing work also produces sourced pipeline.
- Event assets: Own booth graphics, banners, and event signage. Product collateral, brochures, decks, one-pagers, and case studies sit with Technical Product Marketing, including event-specific versions, so you brief what you need rather than build it.
- Cross-functional partnerships: Align expectations and release dates between sales and marketing so event promotion and demos land against what is actually shipping.

## WHO YOU ARE

Required

- You can stand on your own technically. Facilitate a live product demo, scope an inspection or integration use case, and hold a credible conversation with an integrator, controls engineer, or plant team with no sales engineer present.
- 1 to 5+ years customer-facing in a technical or GTM role in machine vision, manufacturing automation, or robotics, or time spent as an engineer in a manufacturing environment.
- You bring a playbook, not just attendance. You have owned trade shows from booth to follow-up, you know what good looks like on a show floor, and you can name the pipeline your events produced and how you tracked it.
- You build from zero and ramp fast. You have stood up a program with no playbook, no team, and unclear scope, and you get productive without a structure waiting for you.
- Coachable and direct. You take feedback well, adopt how the team already works, and improve on it rather than arriving with a fixed method.
- Willing to travel across North America and internationally, including Europe, to shows, customer sites, and partner organizations. Roughly 50% for the first two months and 25% ongoing. international travel for the first two months and 25% ongoing.
- Based in San Francisco. You need to be close to the team and the hardware to build demos and run event logistics.

Strong Preferences

- Technical understanding of machine vision in manufacturing. You have worked with machine vision systems and understand how these solutions apply to various manufacturing applications.
- Co-marketing or co-sell experience with technology partners: joint webinars, co-marketing programs, or referral paths.
- Direct vendor or integrator experience at a machine vision, inspection, or industrial automation company, or at a machine vision systems integrator.
- Existing relationships with systems integrators, distributors, or manufacturing associations.
- Familiarity with HubSpot and modern GTM tooling.

## WHY [OVERVIEW.AI](http://OVERVIEW.AI)

- Extreme growth and real-world impact: We're not building demos. We're deploying AI systems on real production lines, at scale.
- Talent density: You'll work with world-class engineers and operators across AI, embedded systems, and enterprise deployment.
- Front-row seat to the AI manufacturing wave: One of the biggest transformations happening in industry right now.
- Ownership: Your work directly changes the trajectory of the company.
- Global exposure: You'll work with the most advanced customers and factories in the world.

## About Overview Corporation

## Company Overview
- **One-liner**: Overview Corporation builds AI-powered vision systems for automated defect detection and quality inspection in manufacturing.
- **Entity Type**: Private (Startup; Y Combinator W19 batch)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Russell Nibbelink, Austin Appel, Xiaoyang Kao

## Core Business
- Primary industry/industries: Industrial AI, Computer Vision, Manufacturing Quality Control, Industrial Automation
- Target customers: B2B – Enterprise manufacturers across automotive, pharmaceutical packaging, electronics, and general industrial sectors
- Mission or purpose statement: "Catch every manufacturing defect in the world"

## Products & Services
- **OVX Inspection Platform**: AI-based quality inspection platform that runs entirely on edge devices, using advanced data augmentation to reduce sample requirements by 10x and training models in under one hour with as few as five images.
- **OV10i AI Vision Sensor**: Compact, smart camera with on-device AI training and inference, local browser-based configuration, and a 3–6 month typical payback cycle.
- **OV20i AI Vision Sensor**: Mid-range AI vision sensor with 200K+ production images storage, on-device training, and connectivity through all major PLC protocols (EtherNet/IP, Profinet, Modbus, OPC-UA, MQTT, HTTP, RS232, Discrete I/O).
- **OV80i High Performance AI Vision System**: GPU-powered high-accuracy edge system (NVIDIA GPU in every unit) for the most demanding inspection tasks, using vision-transformer-based models.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Total team of 50+ members, deployed across 30+ cities in 10 countries and 5 continents
- **Notable Investors/Partners**: Y Combinator (Winter 2019 batch); founding team members include former Tesla manufacturing leaders; Forbes 30 Under 30 recognition for the three co-founders
- **Growth Signals**: Rapid global expansion with local teams across 30 cities in 10 countries; deployed in demanding factory environments (automotive connectors, pharmaceutical packaging); achieving 100% defect coverage with 50% reduction in inspection costs and 75% reduction in rework; 0% defect escape rate reported

## Competitive Advantages
- **100% Edge computing** – No cloud dependency, production data never leaves the factory floor, addressing critical security and latency requirements
- **Rapid deployment** – Models trained in under one hour with as few as five images; deploy production systems in hours, not months
- **Hardware + Software integration** – Smart cameras with embedded NVIDIA GPUs and pre-loaded AI software, eliminating need for external compute
- **Open platform** – Compatible with every major PLC protocol, enabling seamless integration into existing factory infrastructure
- **Founding team pedigree** – Deep domain expertise from scaling production and quality systems in demanding factories, including Tesla

## Strategic Focus
- Continue global expansion into new geographies and manufacturing verticals
- Deepen edge AI capabilities for real-time, continuous inference in harsh factory environments
- Shorten time-to-ROI for customers (current target: 3–6 months payback)
- Scale team globally with engineering, science, and field operations talent

## Why Work Here
- **Real-world impact**: Code runs on real production lines 24/7 catching real defects, with metrics tracked in defects caught and scrap reduction, not research benchmarks
- **End-to-end ownership**: Engineers own problems from customer scoping through factory deployment and ongoing monitoring – no product manager layer
- **Ship fast, ship often**: Startup tempo with manufacturing rigor; work hits production lines within weeks
- **Global, remote-friendly culture**: Distributed teams across San Francisco, Austin, Mexico City, São Paulo, Zurich, Taipei, Shanghai and more; work asynchronously across time zones
- **Competitive compensation**: Salary, equity, comprehensive health insurance, 401(k), and generous PTO
- **Learning & growth**: Work alongside former Tesla, Apple, and top-tier manufacturing engineers; sponsorship for conferences, courses, and certifications
- **Solve hard problems**: Real-time AI inference, edge computing, multi-camera systems inspecting thousands of parts per minute in noisy, vibrating factory environments
- **Engineering-first culture**: Small teams, big ownership, direct customer impact

## Sources
1. [overview.ai – Company page](https://www.overview.ai/company/)
2. [overview.ai – Homepage](https://www.overview.ai/)
3. [overview.ai – Careers page](https://www.overview.ai/company/careers/)
4. [Y Combinator – Overview profile](https://www.ycombinator.com/companies/overview)
5. [Ashby – Overview careers page](https://jobs.ashbyhq.com/overview)

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