Technical Marketing & Partnerships Lead
3 нед. назад
90k–120k USD / yearLeadRemote
technical marketingpartnershipsai computer visionedge computing
Lead technical marketing and partnerships to build brand trust and broaden discovery in manufacturing using AI computer vision.
Обязанности
- 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 outside our own website. Today that work is split across leadership and happens in the gaps. This role makes it a function.
Другое
- Remote · Growth · Full time
- ABOUT .AI
- .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.
- Build it, do not inherit it: no playbook, no existing team, no legacy program to maintain. You define what this function is at .
- 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.
- 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.
- Community footprint: Stand up 's independent presence where practitioners actually talk, a community hub on .ai plus a real presence on Reddit (r/PLC, r/computervision, r/manufacturing) and the 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.
- Reviews and listings: Seed and grow the review sources buyers and AI assistants cite, including G2, Gartner Peer Insights, Qviro, and Capterra.
- 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.
- 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.
- 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, ) 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 .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.