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GTM Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Shepherdinsurance
Full Time position
Listed on 2026-07-30
Job specializations:
  • Education / Teaching
    Digital Marketing
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: New York

GTM Engineer

We’re hiring an AI‑pillaged growth marketer to build Shepherd’s growth engine for brokers: paid media, account‑based marketing, broker lifecycle, and the agentic workflows and automation that connects it all the way through to submissions. Your title will be Marketing Engineer, Brokerage Growth and you’ll report to the Head of Marketing.

About the role

Commercial insurance, especially the retail brokerage channel (which is our distribution channel) is a digitally underdeveloped market. The standard B2B growth stack (SEO/SEM, ABM, email marketing, paid ads, funnels, retargeting, intent signals, AI‑search visibility…) is not something our audiences are used to seeing, which makes it a huge opportunity for us to take advantage of. Our growth motion should look like an AI company’s growth motion: technical, measured, compounding, and far more productive than a traditional marketing team.

In this role, you will prove that thesis by introducing a modern, high‑growth engine to a market where standard B2B playbooks barely exist.

As our GTM Engineer, you will build and own that stack. You operate like a growth engineer at a frontier AI company, but apply it to commercial insurance: site experimentation, inbound conversion, paid and ABM programs, outbound infrastructure, marketing automation, attribution, GEO/SEO and AI‑search entity infrastructure. You might also have some extra magic gifts for content, social, or building tools. You’re hands‑on in our channels and shipping improvements every week.

What

you’ll do
  • Own paid media & ABM:
    Run paid programs end‑to‑end — audience strategy, channel mix, budgets, creative, testing, and performance with a heavy focus on ABM campaigns that turn broker activations into submissions.
  • Build outbound and lifecycle infrastructure:
    Design and implement broker lifecycle journeys, signal‑based triggers, intelligent sequences and plays, and all of the orchestration and wiring to get every broker the right touch at the right time and every Shepherd underwriter the intelligence and enablement they need to be in a position to win.
  • Improve conversion across the funnel:
    Build and iterate on landing pages, forms, and website flows to convert traffic from paid, ABM, and organic channels; you’ll own experimentation and CRO.
  • Stand up GEO / AI search:
    Implement structured data, schema markup, and entity infrastructure so Shepherd shows up where brokers and insureds search, including AI‑native surfaces.
  • Implement marketing automation & attribution:
    Select and wire the stack (MAP, enrichment, tracking), then build dashboards that clearly show what’s working, especially for paid and ABM programs.
  • Produce performance creative:
    Turn ideas into performance assets — self‑recorded explainers, lightweight product demos, landing pages, and ad creative — and pull in specialists when we need higher‑end production.

Increase experimentation velocity: Continuously test audiences, offers, creative, landing pages, and channels, and translate results into clear next steps for the business.

Who you are
  • 4+ years blending growth marketing, demand generation, and technical execution at a fast‑moving B2B or consumer technology company.
  • Extremely AI‑pilled — you live in Cursor, Claude Code, or Codex. You are the first amongst your friends and coworkers to have a take on the latest LLM release.
  • High agency and hands‑on technically: you don’t wait for engineering support to ship a new tool or run a data analysis. You bias toward action, ship weekly, and do as well as you possibly can within what you’ve set out to do. You’re comfortable being the one who moves first and figures it out while others are still whiteboarding.
  • You are all‑in on your craft. You don’t half‑build things; you hold yourself to outcomes and whole‑ass the system end to end so nothing gets in the way of hitting your goals.
  • You like big, complex problems. As we scale, you expect the challenges to get more difficult: data gaps, messy funnels, attribution edge cases… and that excites you. You see new, bigger, harder problems as proof the system is working and leveling up.
  • Experienced running growth programs at scale and building the…
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