About The Position

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. This role is crucial for establishing clear positioning as the company has hit product-market fit and is at an inflection point where communicating technical advantages with data and proof is essential.

Requirements

  • Degree in Computer Science, Engineering, or equivalent hands-on technical depth.
  • Ability to read API documentation, understand system architecture, and write code (Python, SQL, or similar) to solve growth problems.
  • 3+ years in Sales Engineering, Developer Advocacy, Technical Product Marketing, or Growth Engineering for a B2B product.
  • A portfolio showcasing built and shipped items such as complex product demos, open-source contributions, growth tools, or technical whitepapers.
  • High comfort level with data, A/B testing, statistical significance, and instrumenting analytics pipelines.
  • A preference for rapid iteration over perfection and a bias toward shipping.
  • Ability to identify and kill failed growth hypotheses, document null results, and ship the next iteration.

Nice To Haves

  • 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.

Responsibilities

  • Serve as the bridge between engineering and the customer, being the first to test new features in go-to-market motions.
  • Scope, build, and deploy interactive, high-fidelity demos for industry events, sales pitches, and webinars.
  • Produce technical deep-dives, API documentation, architectural diagrams, and data-backed case studies.
  • Translate technical product capabilities into concrete customer outcomes by analyzing customer telemetry.
  • Design, execute, and measure disciplined experiments across the funnel, including building internal micro-tools, leveraging APIs for lead enrichment, and running A/B tests.
  • Automate pipeline generation through scripting.
  • Act as the technical face of the product by speaking at industry events, hosting technical webinars, and engaging with relevant communities.
  • Build physical and digital demo experiences for trade shows.
  • Own the technical setup of the marketing stack, including instrumenting event tracking, building attribution models, and ensuring GTM data pipeline accuracy.
  • Co-create reference architectures and technical integration guides with hardware partners.
  • Conduct competitor product teardowns, understand their technical limitations, and build sales battlecards highlighting technical differentiation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service