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Wordsmith AI

Senior GTM Engineer

  • Office
  • 6+ years

Salary

$170,000 - 230,000/ year

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Description

Wordsmith

Wordsmith is building the legal operations platform for in-house teams, and we are growing fast.

We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems.

Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens.

We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with.

More than 500 companies, including Financial Times, Safelite, Trip.com , Canva, Starling, and Sage, use Wordsmith. Backed by $100M from Index Ventures, General Catalyst, Highland Europe, and others, we are building one of the defining companies in legal AI.

Responsibilities

  • We're building a GTM engineering function to own the systems, tooling and automation that drive Wordsmith's growth. You'll be its first hire.
  • This is a senior, hands-on, GTM engineering role reporting to the CMO. You'll work across the full GTM stack: marketing and sales tech, tooling and the systems behind our website. You'll decide what to build, buy or retire, and ship systems that help Marketing, Sales, Partnerships and post sales functions (e.g., Customer Success, Account Management) find, win and retain more customers.
  • Own the GTM stack and roadmap. Audit what we run across marketing, sales and the website, remove overlap. Own the tooling budget and vendor relationships.
  • Own the data model. Make our CRM the trusted source of truth for accounts, contacts and pipeline, with clear definitions for stages, sources and attribution that every GTM team works from.
  • Connect the stack. Build reliable integrations across CRM, marketing automation, sales tools, the website, product usage data and enrichment through APIs, webhooks and reverse ETL.
  • Own the systems behind the website. Work with Marketing and Engineering on forms, routing, tracking, personalization and experimentation, so more of the traffic we earn turns into pipeline.
  • Build signal-based pipeline systems. Account scoring, enrichment, intent and product-usage signals, routing and follow-up, so reps spend their time on the accounts most likely to buy.
  • Build AI agents that do real GTM work. Account research, outreach prep, inbound qualification, meeting follow-up, renewal and expansion signals. Run them in shadow mode alongside the people who do that work today, evaluate the output, and decide where human review stays.
  • Make the systems trustworthy. Test, monitor, document and version what you ship. Manage permissions and data governance to the standard our customers expect: we sell to legal teams, and our own data handling has to hold up to their scrutiny.
  • Run the function like a product. Set up intake and a shared backlog with GTM leaders, prioritize by commercial impact, ship on a regular cadence, and show what changed.

Requirements

  • 5+ years building GTM systems at a B2B software company, through GTM engineering, growth engineering, technical marketing ops, RevOps or software engineering.
  • You build, not just administer. You write production-quality Python or JavaScript and SQL, work comfortably with APIs and webhooks, and use AI coding tools as part of how you work.
  • Deep knowledge of CRM, marketing automation and sales tool data models, Experience running AI workflows or agents in production:
  • Commercial judgment. You understand acquisition, conversion, retention and expansion, and can turn an ambiguous growth problem into a system that works.
  • Clear communication with non-technical teams. You can say no, explain tradeoffs and get people to adopt what you build.
  • It would also be great if you have:
  • Website and front-end work: forms, tracking, personalization and experimentation.
  • Data warehouse, transformation and reverse ETL experience.
  • Turning product usage data into routing, scoring and lifecycle triggers.
  • Supporting several motions at once, such as enterprise sales, ABM, partnerships and expansion.
  • Security and compliance work (SOC 2, GDPR) in GTM systems
  • How We'll Measure Success
  • Growth impact of what you ship: website conversion, speed to lead, pipeline and expansion
  • Manual GTM work removed, and adoption of the systems you build
  • Data the business trusts: complete, accurate CRM records and one set of definitions across GTM
  • Reliability of key workflows, and tool spend measured against the value it delivers
  • What You Can Expect
  • Ownership of GTM systems, data and tooling across Wordsmith, as the founding member of GTM engineering
  • Direct partnership with the CMO and close work with Sales, Customer Success, Product and Engineering leaders
  • A real tooling budget and the mandate to rebuild what isn't working
  • Competitive salary and meaningful equity
  • Why Wordsmith?
  • We're growing quickly, winning new customers and expanding into larger accounts, and the systems behind that growth need to stay ahead of it. AI is changing how much a small GTM team can do, and we want to find out how far that goes. If you want to build a GTM engine close to the ground floor, with the mandate to do it properly, this is a strong place to do it.

Where you’d work

From the office

About the company

Wordsmith AI

Office in New York, United States

Also hiring in Edinburgh, United Kingdom and London, United Kingdom

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • JavaScript
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
Backend
Region
United States
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • JavaScript

Location

Work model
Office
Region
United States
Office
  • New York, United States

Compensation

Salary
$170,000 - 230,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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