GTM Engineer

Wispr Flow; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Wispr Flow is pursuing a founding GTM Engineer to build the systems our go-to-market runs on—data enrichment, signals, outbound and inbound motions, and intelligent agents. You’ll shape how prospects experience Wispr, whether they buy self-serve or through sales, collaborating across sales, marketing, and Revenue Operations.

You’ll write production code in Python or TypeScript, work with SQL and APIs, and integrate Salesforce and our data warehouse stack.

Qualifications

• 5+ years in GTM engineering with 2+ years in a GTM engineering role.
• Experience building outbound or inbound systems that generate measurable pipeline.
• Proficient in production code with Python or TypeScript, SQL, and APIs.

Responsibilities

• Build the company and people data ecosystems, signals, and ICP/account scoring for reps.
• Own outbound programmatic plays and inbound end-to-end lead routing and speed-to-lead.
• Develop and run AI-driven workflows and agents with monitoring and evals.
• Integrate Salesforce and data warehouse layers, ensuring reliable data syncs.
• Provide tools, docs, and patterns for ops, sales, and marketing to leverage AI.
• Maintain production-grade code with logging, fallbacks, and governance.
• Collaborate across sales, marketing, and Revenue Operations to optimize pipeline.

Skills

GTM engineering

AI workflows

Python/TypeScript

SQL

APIs

Salesforce

Data warehouse

Chili Piper

LeanData

Default

AI tooling (Claude Code/Codex/Cursor)

Tools

Salesforce

Chili Piper

LeanData

Default

Claude Code

Codex

Cursor

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. We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.

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.

Flow grew product-led, so many of the companies we want to sell to already have teams using it. Finding those accounts and getting them to the right rep at the right time is where this starts. Salesforce and our warehouse are in place, and the layer on top of them is yours to build: in code, versioned in a repo, with agents handling the manual work. If you want to design the play and write the code that runs it, this is the role.

The scope spans data, signals, outbound, inbound, and agents, so we're looking for engineering depth, GTM context, and real experience building with AI. You won't be an expert in every area here, so if you bring that mix, don't rule yourself out.

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'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.