GTM Engineer

Imigrus; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Wispr is seeking a founding GTM Engineer to build the data and signals powering our go-to-market. You’ll manage account/contact enrichment, ICP scoring, and reliable Salesforce↔warehouse sync, while turning product usage and intent into prioritized accounts for reps.

You’ll own inbound/outbound workflows, automate scheduling and routing, and deploy AI-powered agents with strong monitoring and clear metrics for success.

Qualifications

• 5+ years in GTM engineering, revenue or marketing operations, growth, or software engineering, including 2+ years in a GTM engineering role.
• You build with AI every day and have shipped LLM workflows with evals and monitoring.
• Production code: Python or TypeScript, SQL, and APIs; comfortable in a data warehouse.
• Hands-on with Salesforce, enrichment and signal providers, routing/scheduling tools (Chili Piper, LeanData, Default).
• Understand product-led and sales-led buying, building for the reps who use your work.
• You talk to users, ship, measure, and iterate; judge your work by actual usage.

Responsibilities

• Build company and people data: enrichment for accounts/contacts, entity resolution, ICP fit scoring, and Salesforce↔warehouse sync with shared definitions.
• Own signals: product usage, intent, hiring, and job changes, turning them into prioritized accounts and alerts for reps.
• Run programmatic outbound: signal-based plays, account research and personalization, sequencing, and scalable attribution.
• Own inbound end to end: enrichment at capture, qualification, scheduling, routing, and speed-to-lead for self-serve paths.
• Build revenue-team agents: account research, meeting prep, data hygiene, and deal processing with clear metrics.
• Run agents like production software: evals/tests, monitoring, fallbacks, and select when to use LLMs vs simple rules.
• Help ops, sales, and marketing build with AI using the provided tools and patterns.

Skills

GTM engineering

AI workflows

Python/TypeScript

SQL

Salesforce

Tools

Salesforce

Chili Piper

LeanData

Default

ClickHouse

Job description

Job Description

About Wispr

Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards. Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product – and caring about the final human experience as deeply as the technology underneath it.

About the role

This is the founding GTM Engineer role at Wispr, within our Revenue Operations team. You’ll build the systems our go-to-market runs on: the company and people data underneath it, the signals that tell us who to talk to, and the outbound and inbound motions that act on them. You’ll work across sales, marketing, and revenue operations, and own how prospects experience us, whether they buy self-serve or through sales.

What you’ll do

• Build our company and people data: enrichment for accounts and contacts, entity resolution and account hierarchy, ICP fit scoring, and reliable syncs between Salesforce and our warehouse (ClickHouse), with shared definitions the whole team works from.
• Own signals: product usage from Flow, intent, hiring, and job changes, turned into prioritized accounts and timely alerts for reps. That includes product-qualified leads, the teams already using Flow that should be talking to sales.
• Run programmatic outbound: signal-based plays, account research and personalization, sequencing, and the attribution that shows which plays are worth scaling. Sales and marketing shape the plays with you; you build what runs them.
• Own inbound end to end: enrichment at capture, qualification, scheduling, and routing that gets each lead to a rep in minutes, with a clear path to self-serve for the rest. That includes following up on self-serve sign-ups that show sales intent. You own speed-to-lead and conversion.
• Build agents for the revenue team: account research, meeting prep and follow-up, data hygiene, and deal processing. Each one has a clear job and a metric it’s measured on.
• Run those agents like production software: evals and tests before release, monitoring after, fallbacks when a model or vendor fails, human review where the stakes call for it, and a log of what each agent did and why. You decide where an LLM is worth it and where a simple rule works better.
• Help ops, sales, and marketing build with AI themselves, with the tools, documentation, and patterns you put in place.

What we’re looking for

• 5+ years in GTM engineering, revenue or marketing operations, growth, or software engineering, including 2+ years in a GTM engineering role. You’ve built outbound or inbound systems that generated measurable pipeline, and you can walk us through the numbers.
• You build with AI every day. You use coding agents (Claude Code, Codex, Cursor) and have shipped LLM workflows other people rely on, with evals and monitoring behind them.
• You write production code: Python or TypeScript, SQL, and APIs, and you’re comfortable working in a data warehouse. You know when Clay is enough and when to build something custom.
• You’ve worked hands-on with Salesforce, enrichment and signal providers, routing and scheduling tools (Chili Piper, LeanData, Default), and sales engagement platforms.
• You understand how customers buy in product-led and sales-led motions, and you build for the reps who use your work.
• You talk to users, ship, measure, and iterate, and you judge your work by whether people actually use it.

Logistics

• We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can’t guarantee sponsorship for every role, but if we make you an offer we’ll make every reasonable effort, with help from our immigration law firm.

We strongly encourage you to apply even if you don’t meet every qualification. The strongest candidates we meet rarely do, so don’t exclude yourself prematurely. We’re rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.

We’re committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.