We're building computer vision software for manufacturing quality control. Our customers are plant directors and quality engineers at manufacturers: They care about reducing defects and shipping faster. Our product proves it works. What we need now is someone who can credibly explain why we're different, earn trust with a technical buyer, and drive a qualified pipeline. That's this role.
What You'll Own:
Technical Demos & "Patient Zero" Testing: You are the bridge between engineering and the customer. You will be the first person to test new features in our GTM motions. You will scope, build, and deploy interactive, high-fidelity demos for key industry events, sales pitches, and webinars.
Technical Content & Architecture: Write the assets that engineers actually want to read. You'll produce technical deep-dives, API documentation, architectural diagrams, and data-backed case studies. Your job is to translate "our ML model is accurate" into concrete outcomes like "we reduced scrap by 3.2%," partnering directly with our deployments team to pull and analyze real customer telemetry.
Growth Engineering & Experiments: Treat our GTM strategy like an engineering problem. You'll design, execute, and measure disciplined experiments across the funnel. This means building internal micro-tools, leveraging APIs for lead enrichment, running A/B tests with strict statistical significance, and writing scripts to automate pipeline generation. If a growth hypothesis fails, you kill it, document the null result, and ship the next iteration.
Technical Evangelism & Industry Presence: Be the technical face of our product. Instead of traditional PR, you'll build credibility by speaking at industry events, hosting technical webinars, and engaging directly with communities where our buyers live. You will build the physical and digital demo experiences that make our booth the most crowded at trade shows.
GTM Data Infrastructure: Build the systems that let us scale without chaos. You'll own the technical setup of our marketing stack, instrumenting event tracking (e.g., Segment, Mixpanel, HubSpot), building attribution models, and ensuring our GTM data pipeline is clean, accurate, and actionable.
Partner Engineering & Competitive Intelligence: Co-create reference architectures and technical integration guides with our hardware partners. You'll tear down competitor products, understand their technical limitations, and build battlecards that arm our sales team with unassailable technical differentiation.
You're a Strong Fit If You Have
Engineering Background: A degree in Computer Science, Engineering, or equivalent hands-on technical depth. You can read API docs, understand system architecture, and write code (Python, SQL, or similar) to solve growth problems.
Technical GTM Experience: 3+ years in Sales Engineering, Developer Advocacy, Technical Product Marketing, or Growth Engineering for a B2B product.
A Builder's Portfolio: A track record of things you've built and shipped—whether that's a complex product demo, an open-source contribution, a growth tool you coded, or a deep-dive technical whitepaper (no promotional fluff).
Data & Experimentation Chops: You are highly comfortable with data, A/B testing, statistical significance, and instrumenting analytics pipelines. You know what a null result is, and you let the data drive your decisions.
A Bias Toward Shipping: You prefer rapid iteration over perfection. You ship four high-impact experiments this quarter, not one perfect campaign.
Nice to Have:
Familiarity with computer vision, machine learning models, or edge computing deployments.
Direct experience selling or marketing industrial, manufacturing, or hardware products to technical buyers.
Experience scaling a technical startup's GTM engine from $10M to $100M+ Revenue
We're not looking for someone who:
Treats marketing copy as a creative exercise instead of a sales tool
Prefers perfection over iteration
Works best with a big agency or team doing the heavy lifting
Is uncomfortable being hands-on and scrappy in growth-stage chaos
Why This Role Matters Right Now We've hit product-market fit with early customers. Now we're at the inflection point where we need to establish clear positioning. Technical buyers are comparing us to multiple solutions - we need someone who can communicate our advantage with data and proof, fast.
About Overview
Reshaping industrial quality with AI, hardware, and software
