GTM Engineer, Agents

Light Labs; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading food technology company is hiring a Growth / GTM Engineer to automate growth processes, enhance sales performance, and leverage AI for effective customer engagement. The role involves building systems that streamline workflows, generate pipeline, and scale the company’s impact in the food industry. Candidates with a strong background in automation, AI application, and product development are sought. This position is in Austin, TX, requiring in-office work five days a week.

Qualifications

• Ability to design and scale automated systems for growth.
• Experience in applying AI to enhance GTM workflows.
• Strong instincts for product development and data-driven processes.

Responsibilities

• Build account intelligence for sales team efficiency.
• Automate core GTM workflows to reduce manual tasks.
• Experiment with acquisition channels for growth.

Skills

Automation

AI utilization

Data quality management

Sales strategy

Account intelligence

Job description

Light Labs is hiring a Growth / GTM Engineer to build and operate the growth engine that brings transparency to the food system. Leading consumer brands like AG1, Momentous, and David Protein trust Light Labs to power their product transparency.

Growth at Light Labs is treated as a first-principles engineering problem. This role owns how we identify the right customers, engage them at the right moment, and scale distribution across inbound, outbound, and product-led surfaces.

This is not a traditional growth role. You are building the system that does the work.

You’ll take messy, manual GTM workflows and turn them into automated, reliable, and compounding systems. You’ll design and deploy AI-native infrastructure that runs continuously, improves over time, and directly drives pipeline and revenue.

The quality of what you build will show up immediately in sales performance, pipeline generation, and how fast the company scales.

You’ll work side-by-side with the founders in Austin and play a central role in how Light Labs scales from early traction to an enduring company.

Location: Austin, TX (in-office, 5 days/week)

Responsibilities

1) Make the sales team unstoppable

Build the account intelligence layer that powers every sales motion. Define and maintain the account universe, enrich and deduplicate data, and prioritize accounts based on real buying signals. Incorporate product usage and engagement data so reps know exactly when to act. Map whitespace within accounts and operationalize land-and-expand plays. Own data quality end-to-end.

2) Turn GTM workflows into systems that run themselves

Take core growth workflows like lead sourcing, enrichment, routing, and outreach and rebuild them as automated systems. Break them into components, apply AI where it creates real leverage, and design feedback loops so they improve over time. The goal is not to assist work, but to eliminate manual work.

3) Build and scale acquisition channels that create alpha

Run high-tempo experimentation across acquisition channels. Move quickly from hypothesis to launch, measure outcomes rigorously, and iterate. Double down on what works, cut what doesn’t, and identify durable sources of pipeline before they become crowded or commoditized.

4) Own the AI-native GTM stack

Design and operate the infrastructure that moves prospects from first touch to closed customer. Make disciplined build vs buy decisions. Apply AI across targeting, enrichment, routing, and outbound. Own attribution, lead flow, and qualification so the system is measurable, reliable, and fast.

5) Scale the Product Insight Panel

Drive adoption of our Product Insight Panel, the customer-facing layer that turns lab results into a growth and trust driver. Expand distribution so more brands embed transparency directly into their product experience, and so Light Labs becomes the default standard for third-party testing.

What We’re Looking For

• You build systems, not workflows. You think in loops, not tasks.
• You can go from idea → prototype → production without waiting on others.
• You have strong product instincts and strong technical execution.
• You are deeply comfortable using AI as infrastructure, not just a tool.
• You care about outcomes. Pipeline, revenue, and speed matter.
• You move fast, prioritize ruthlessly, and iterate based on real data.