Full Stack Engineer, Growth

About the role

Build data infrastructure that identifies and organizes prospects across a fragmented, analog industry
Turn messy, unstructured, real-world data into clean pipelines and actionable sales signals
Create internal tools that make the sales team dramatically more effective
Create outbound automation, lead routing, sequencing, and deal-room tooling
Apply AI and LLMs to automate research, prospecting, qualification, and workflow execution
Create agents that operate in the background and compound the company's sales advantage
Partner closely with founders, sales, and customers to identify high-impact opportunities
Ship quickly, iterate often, and build tools that directly impact revenue

Responsibilities

• Build data infrastructure that identifies and organizes prospects across a fragmented, analog industry
• Turn messy, unstructured, real-world data into clean pipelines and actionable sales signals
• Create internal tools that make the sales team dramatically more effective
• Create outbound automation, lead routing, sequencing, and deal-room tooling
• Apply AI and LLMs to automate research, prospecting, qualification, and workflow execution
• Create agents that operate in the background and compound the company's sales advantage
• Partner closely with founders, sales, and customers to identify high-impact opportunities
• Ship quickly, iterate often, and build tools that directly impact revenue

Requirements

An AI-native engineer who uses modern AI tools as part of their daily workflow
A builder who thinks in systems, not tickets
Strong experience designing and working with scalable databases and APIs
A track record of shipping high-quality products at scale
Experience building with or for AI agents, automation, or LLM-powered workflows
Comfort operating in a fast-moving, high-performance startup environment
Strong communication skills and excitement about working cross-functionally
A willingness to question the status quo and become a true expert in the market
Customer-facing instincts and a desire to build close to the business

Qualifications

• Nice to have experience as a technical co-founder or early engineer at a Series A, B, or C startup
• Experience working with messy real-world data from analog or fragmented sources
• Familiarity with tools like Clay, HubSpot, Salesforce, Apollo, or similar sales/marketing automation platforms
• 2+ years of professional engineering experience

Skills

• AI-native engineering
• Building systems
• Scalable databases and APIs
• AI and LLMs
• Outbound automation
• Lead routing and sequencing
• Deal-room tooling
• Agents and automation
• Customer-facing instincts

Benefits

• Competitive salary and equity
• Health, dental, and vision insurance fully covered
• Unlimited paid time off plus company holidays
• Daily lunch and dinner
• $100 monthly wellness stipend
• 401(k) with employer match
• Pre-tax commuter benefits
• Bi-annual team offsites
• Relocation assistance

Pay

Competitive salary and equity

Schedule

Full-time