Go-to-Market Engineer

About Lifesight

Lifesight is the Agentic Unified Marketing Measurement Platform. We unify causal MMM, incrementality testing, and attribution into one system that marketing and finance teams trust — and that AI agents can call.

We’re bootstrapped-to-scale and profitable. Our products are agentic. Our internal operations should be too.

The Role

You’ll be a founding Go-to-Market Engineer at Lifesight, building the systems that help our marketing, sales, and customer success teams operate at 10×. You won’t replace those teams — you’ll give each person on them AI leverage backed by clean data, well-designed tooling, and agentic workflows.

Go-to-Market Engineer is a fairly new discipline. Hybrid of software engineer, RevOps engineer, and agent builder. You ship production code with Claude Code every week. You work shoulder-to-shoulder with go-to-market teams — you’re not a ticket-taker — and your work spans the entire customer lifecycle from first-touch to renewal.

What You’ll Own

• The GTM data layer — a unified data service that mirrors Salesforce, HubSpot, call-intelligence platforms, analytics, and every ad platform into one queryable layer. Every AI agent and every GTM team reads from it.
• Pre-MQL systems — signal intelligence (external intent, competitor churn, funding events, job changes, community chatter), approval-gated AI outbound workflows, and owned-channel optimization agents across SEO, CRO, and paid media.
• Marketing content + campaign pipelines — AI-drafted blog pillars, newsletters, founder LinkedIn posts, ad creative, nurture sequences. Humans edit and approve; agents produce and ship on cadence.
• Post-MQL systems — integration with GTM OS (internal revenue-lifecycle platform), call intelligence, deal-risk scoring, mutual action plan generation, renewal and expansion automation.
• Practical marketing measurement — an attribution layer that closes the loop on what’s working, built on live analytics and CRM stack.
• Internal tooling — small, sharp tools that replace spreadsheets and manual workflows across the GTM organization.

You Are

• A builder. You write code daily and you ship. You’ve built internal tools that real teams adopted.
• A marketer. You know how marketing works and what needs to be done to build revenue pipeline and make profitable spend decisions.
• A systems thinker. You see GTM as a graph of systems, not a funnel diagram. You know where leverage lives.
• Comfortable with ambiguity. You design your way through under-specified problems and bring clarity back.
• Opinionated about AI. You know the difference between AI-washed and genuinely agentic. You have a point of view on where LLMs help and where they don’t.
• Collaborative. You sit with a marketer, a salesperson, a CSM — understand their workflow, then automate the parts they shouldn’t have to do manually.

You’ve Done

• 5+ years shipping software and working with GTM teams. Title doesn’t matter — outcomes do.
• Built production systems in Python or TypeScript + SQL + REST APIs + webhooks. PostgreSQL experience required.
• Worked hands-on with Salesforce and HubSpot at admin + API level. Written real integrations, not just used the UI.
• Integrated at least one analytics or ad-platform API in production (GA4, GSC, Google Ads, LinkedIn Ads, Meta, Bing Ads).
• Shipped something with the Claude or OpenAI API in production — not a demo, something that runs and produces real value.