GTM Engineer

Lifesight is a pioneering Unified Marketing Measurement (UMM) platform which helps marketers measure, plan and optimise their marketing spend. In a world of fragmented data, unreliable cookies, and outdated reporting, we empower modern businesses to achieve predictable, sustained growth by aligning marketing and finance on a single causal truth.

We are at the forefront of Agentic Unified Marketing Measurement. Moving beyond siloed tools and post facto dashboards, our AI-driven causal engine combines Causal MMM, Incrementality testing and Incrementality Adjusted Attribution to create a finance ready marketing decision system.

About the Role

We're looking for a GTM Engineer who combines the commercial thinking of a GTM operator with the technical skills of an automation engineer.

You'll work at the intersection of Sales, Marketing, Revenue Operations, Partnerships, and AI to design and build the systems that power our revenue engine.

Your mission is to make our GTM teams faster, smarter, and more effective by connecting data, identifying buying signals, automating workflows, and turning intelligence into action.

This isn't a traditional Sales Operations or CRM administration role. We're looking for someone who can take a business challenge such as improving outbound conversion, identifying high-intent accounts, or reducing manual prospecting and independently design, build, deploy, and optimize a working solution.

You'll have the opportunity to build our GTM engineering capabilities from the ground up, working closely with leadership and owning projects from idea to production.

Key Responsibilities

• Build AI-Powered GTM Automation: Design and deploy AI agents and workflows that automate prospecting, lead enrichment, account research, and sales operations.

• Turn Buyer Signals into Pipeline: Identify high-intent accounts using ICP scoring, buying signals, and engagement data to drive qualified meetings and opportunities.

• Integrate the GTM Tech Stack: Connect Salesforce, Clay, HubSpot, other company platforms, and AI tools to build scalable, reliable revenue workflows.

• Develop Revenue Intelligence Systems: Build automated pipeline monitoring, opportunity alerts, sales insights, and next-best-action recommendations to improve sales efficiency.

• Experiment, Optimize & Scale: Translate GTM challenges into technical solutions, launch rapid experiments, and measure impact on conversion rates, pipeline generation, and productivity.

What We're Looking For

• 4–6 years of experience in GTM Engineering, Revenue Operations, Sales Operations, Growth Engineering, Marketing Operations, Business Systems, or a related role in B2B SaaS.
• Strong understanding of B2B sales processes, including prospecting, account qualification, lead management, outbound workflows, pipeline management, and revenue operations.Experience building account scoring, intent monitoring, enrichment pipelines, or signal-based outbound systems.
• Hands-on experience building automations, integrations, AI agents, or internal business tools.
• Experience with Python, JavaScript, SQL, or AI-assisted coding tools, Experience building account scoring, intent monitoring, enrichment pipelines, or signal-based outbound systems.
• Familiarity with Salesforce and GTM tools such as Clay, Apollo, HubSpot, Outreach, Salesloft, or similar platforms.
• Practical experience working with LLMs and AI tools such as Claude, OpenAI, Claude Code, or similar technologies. and Familiarity with MCP, AI agent frameworks, and LLM orchestration.
• Comfortable working with APIs, webhooks, structured data, and basic scripting to connect applications and automate workflows.
• Ability to independently take a business problem from discovery through solution design, implementation, testing, and rollout.
• Strong analytical thinking, problem-solving skills, and an understanding of how GTM activities connect to commercial outcomes.
• Ability to collaborate with commercial teams and explain technical solutions in simple business terms.
• A high degree of ownership, curiosity, experimentation, and bias toward execution.

We care more about what you've built and the outcomes you've delivered than the number of tools listed on your resume.

Good to Have

- Experience with Python, JavaScript, SQL, or AI-assisted coding tools.
- Experience building account scoring, intent monitoring, enrichment pipelines, or signal-based outbound systems.
- Experience working with data warehouses such as Snowflake or BigQuery.
- Exposure to product-led growth, website conversion optimization, or marketing attribution.
- Previous experience working directly with SDRs, AEs, or sales leadership.
- Experience building GTM systems from scratch at an early-stage or growth-stage SaaS company.

Why Join Lifesight?

• Build from the ground up: Help establish GTM Engineering as a new capability within Lifesight.
• Work directly with leadership: Partner with the Head of GTM & Strategy on high-impact business challenges.
• Own real outcomes: Build systems that directly influence how we generate demand, engage buyers, and grow revenue.
• Work at the intersection of AI and GTM: Experiment with emerging technologies and put them into production.
• High autonomy and ownership: Move quickly from identifying problems to shipping solutions that teams actually use.

We're looking for builders who don't just suggest better ways of working they create them.