Technical Marketing & Partnerships Lead

TECHNICAL MARKETING & PARTNERSHIPS LEAD

Remote · 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, research institutes, systems integrators, and the practitioner communities buyers trust before they ever evaluate a vendor. We already have the product and the demand. What we do not have is one person who owns how manufacturers discover and trust Overview outside our own website. 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.

• 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, 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, and the partner events we should be at, including booth strategy, logistics, staffing, collateral, and on-site execution, and 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.

• Referral pipeline: Build lead referrals through partnerships with industry associations and trade organizations in the space.

• Community footprint: Stand up Overview's independent presence where practitioners actually talk, a community hub on overview.ai http://overview.ai plus a real presence on Reddit (r/PLC, r/computervision, r/manufacturing) and the automate.org http://automate.org forum.

• Technical voice: Establish an authentic engineering voice that leads with useful, vendor-neutral guidance, discloses our affiliation, and earns trust rather than drops links. You answer a real inspection or controls question without an SE in the room.

• Pipeline and reporting: Tie every event, community, integrator, and partner activity to tracked and influenced pipeline in HubSpot, cut what does not work, and partner closely with Business Development, Vision Sales Engineers, and leadership so activity turns into revenue.

WHO YOU ARE

Required

• Technical fluency in machine vision or manufacturing. You have worked customer-facing as an applications engineer, field application engineer, sales or solutions engineer, systems integrator, or in a comparable technical role in machine vision, industrial automation, robotics, or industrial software.

• You can stand on your own technically. Run 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.

• 3 to 5+ years customer-facing in a technical or GTM role in machine vision, manufacturing automation, or robotics.

• 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.

• You write for engineers, not for marketing. You can speak and write to manufacturing engineers in a way they find useful, vendor-neutral, and credible. Expect to show us a short work sample.

• 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 to shows, customer sites, and partner organizations, roughly 30% for the first two months and 25% ongoing.

Strong Preferences

• Direct vendor or integrator experience at a machine vision, inspection, or industrial automation company (Cognex, Keyence, Zebra, Basler, Landing AI, Instrumental, and similar) or at a machine-vision systems integrator.

• An existing community or channel footprint. You are already active and respected in engineering communities, or you have grown a channel presence before, so the trust-building starts on day one instead of month three.

• Existing relationships with manufacturing associations (A3, ARM Institute, Manufacturing USA, MEP, automate.org http://automate.org) or with systems integrators.

• Co-marketing or co-sell experience with technology partners: joint webinars, co-marketing programs, or referral paths.

• Familiarity with HubSpot and modern GTM and community tooling.

• Content and social range across LinkedIn, Reddit, and short-form video.

• Based in San Francisco. This role is open to remote candidates across North America, and we have a preference for the Bay Area given the proximity to the team and to the hardware.

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.