GTM Engineer

Strella•New York, NY

2d•Hybrid

About The Position

Strella is seeking a hands-on GTM Engineer to build the systems, data, and AI workflows that power its go-to-market engine. The role turns buying signals into pipeline, replaces manual work with automation, and develops repeatable systems for revenue growth. The engineer will connect website, intent, event, and market data to identify high-fit accounts; automate account enrichment, contact sourcing, scoring, and personalized outreach; and scale successful campaigns and prospecting experiments. The role also applies AI across the revenue lifecycle, including account research, outreach personalization, meeting preparation, follow-up, and customer-growth workflows. The GTM Engineer will partner with Sales, Marketing, and Customer Success to identify opportunities, run and measure experiments, and improve pipeline generation, conversion, and efficiency. They will own integrations, data flows, and automation infrastructure, maintain reliable and scalable systems, and evolve Strella’s GTM technology stack. Strella is an AI-powered market research company that conducts AI-moderated interviews and turns customer conversations into actionable insights. The company describes itself as growing rapidly, serving enterprise customers, and expanding toward a full-service insights offering. This position is based in NYC and works in a hybrid culture, with the candidate expected to work from the office.

Requirements

At least 5 years of total work experience, including at least 3 years in GTM engineering, RevOps, growth engineering, solutions engineering, or a similar technical GTM role.
Hands-on experience building and deploying automation, data, and AI workflows, including LLMs and APIs.
A track record of measurable impact, such as pipeline generated, hours saved, or conversion improved.
Understanding of B2B sales and marketing workflows.
Based in NYC and excited to work from the office.
Comfort working hands-on, experimenting with tools, and turning ideas into working solutions.
Experience using LLMs to automate work and enthusiasm for applying AI to GTM.
Ability to turn messy, manual processes into clean, scalable workflows.
Ability to thrive in a fast-moving startup where the go-to-market motion is evolving.
Commercial mindset and interest in measurable results.
Ability to explain technical tradeoffs clearly to non-technical teammates and collaborate effectively.

Nice To Haves

Experience as an early or founding GTM hire at a B2B SaaS startup.
Deep working knowledge of HubSpot, Lemlist, and Clay.

Responsibilities

Connect website, intent, event, and market data to identify high-fit accounts ready to engage.
Build workflows for account enrichment, contact sourcing, scoring, and personalized outreach.
Turn successful campaigns and prospecting experiments into repeatable growth engines.
Build AI workflows for account research, personalized outreach, meeting preparation, follow-up, and other GTM activities.
Use LLMs, agents, and APIs to replace manual work with scalable automation.
Surface expansion opportunities and customer health signals so Customer Success can act proactively.
Partner with Sales, Marketing, and Customer Success to identify high-impact opportunities for automation and growth.
Test new GTM plays to improve pipeline generation, conversion, and efficiency.
Track results and continuously improve workflows based on their impact.
Own the integrations, data flows, and automation infrastructure connecting GTM tools.
Ensure data and automations powering GTM workflows are accurate and scalable.
Work with tools such as HubSpot, Clay, and Lemlist, and evaluate new tools that create meaningful leverage.