GTM Engineer

Latent is building a world-class GTM engine — and we’re missing a very specific type of person. The GTM Engineer who operates like a product manager for the go-to-market org.

Your mandate:

• Work horizontally across marketing, sales, solutions, and post-sales

• Understand how GTM work actually gets done today

• Design and ship internal tools, automations, systems, and micro-products that 10× the output of the GTM team

• Use AI, workflow design, and lightweight tooling to turn messy, high-volume information into clean, repeatable, measurable motion
  

If you’re successful, you’ll materially influence Latent’s growth trajectory and play a central role in how we scale our GTM function.

Our GTM team generates an enormous amount of raw signal — executive conversations, CPO initiatives, Gong calls, product content, ROI models, and live deal insights. Today, we only capture a fraction of that value.

Your first major mission is to turn that raw GTM noise into a structured, compounding system that points to areas each person needs to focus on, that day, and makes marketing, sales, and solutions smarter with every interaction.

• Events and webinars

• Account-based motions

• Paid/owned channels

• Product marketing

• Partnerships

• Sales playbook automation

• Pipeline diagnostics and forecasting workflows
  

Your focus: ensure every GTM contributor operates at their highest possible level.

From discovery → spec → build → rollout → adoption → iteration.
You’ll talk to internal users (AEs, SDRs, AMs, Marketing), look at usage data, and continually refine.

Using no-code / low-code / light code tools (Zapier, Make, n8n, Notion, Airtable, Supabase, Retool, Webflow, scripts, AI agents), you will ship systems that:

• Convert a single webinar or CIO interview into dozens of multichannel GTM assets

• Turn Gong calls into structured insights aligned to CPO initiatives, leakage categories, or ROI drivers

• Make it trivial to spin up repeatable ABM sequences, playbooks, and executive outreach

Auto-surface account intel, usage signals, and deal blockers to AEs in real time

Design systems that ingest:

• Customer conversations

• PA/340B/Appeals workflow insights

• Content and messaging

• Campaign performance

• Pipeline and forecast signals

• Competitive notes and turn them into a searchable, reusable, action-driving knowledge graph for the GTM org.

Prototype, instrument, and measure experiments that improve:

• Top-of-funnel reach

• Personalization and segmentation

• Speed to lead

• Conversion by stage

• Rep productivity
  Cycle time

You’ll define success and be accountable to real metrics.

You see chaos — tools, workflows, spreadsheets, disconnected signals — and your brain instantly starts drawing boxes and arrows.

You experiment with AI agents, workflows, micro-apps, and integrations because you're curious, not because someone asked you to.

Pulling from Salesforce, Gong, Notion, analytics tools, spreadsheets, and content repositories doesn’t intimidate you. You can shape raw data into something people actually use.

You want to move charts and real numbers — lead flow, conversion, cycle time, rep velocity, pipeline coverage. You’re comfortable designing the metric and proving impact.

You can sit with an SDR, an AE, an Account Manager, and a CPO-level exec and translate their needs into tools that make them say, “Oh wow, this changes my job.”

You generate ideas constantly, test them quickly, and iterate without ego.