GTM Engineer

Genspark Inc genspark.ai Open · verified Sep 24, 2026

Hybrid NYC & Palo Alto Full-time Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Genspark Inc. NYC & Palo Alto · full-time · $150,000–$200,000 base.

SalaryStated by Genspark Inc

$150,000 – $200,000

Base salary for this role, in USD per year, as published in the posting.

RoleSolutions & Sales Engineering

SeniorityMid-level

LocationNYC & Palo Alto

WorkplaceHybrid

EmploymentFull-time

Base pay$150,000–$200,000

PostedSep 16, 2026 · 8d ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Build two to four GTM agents, including their workflows, evaluations, safeguards, and target metrics
Create warehouse pipelines for CRM, product usage, billing, advertising, and web analytics data
Move agents from human-approved proposals toward automation using acceptance-rate evidence
Track agent decisions, supporting data snapshots, outcome costs, and leadership-ready scorecards
Improve lead routing, enrichment, traffic identification, and self-serve to sales handoffs

What you bring

You have shipped a production revenue system that changed a measurable business result
You can work fluently in warehouse SQL and establish shared metric definitions before automation
You have operated inside RevOps, growth, sales engineering, or a founder-led GTM function
You use AI agents every day and can identify failures and design ways to catch them

Who this fits

This role suits a hands-on strategist who codes, writes executable specifications, and works independently without waiting for tickets. You'll work in a hybrid United States role, report to the Head of GTM Engineering, and operate as an individual contributor in a flat organization. Your internal systems will also become demos, written assets, and talk tracks for sales and solutions engineering teams.

From the employer

About the Role

This is our founding GTM Engineer. Nothing is inherited: no legacy stack, no old playbook, no "that's how we've always done it." You get first pick of what to build, and you own the results.

The job is to build the revenue machine as software: a clean data spine, an action layer that writes safely into our CRM, ad accounts, and email, and a fleet of narrow agents that each own one motion and one number. You are not a RevOps analyst who produces dashboards and waits for someone else to implement. You are a strategist who codes.

And there's a twist most companies can't offer: every agent we run internally becomes a reference architecture we show customers. Your work won't sit in an ops backlog — it'll be on stage in sales conversations.

This role reports to the Head of GTM Engineering — flat org, no layers between you and the decision-maker.

What You'll Do

Build and own two to four GTM agents end to end — the loop, the evals, the guardrails, and the metric each one moves. First candidates: speed-to-lead routing, call prep, CRM hygiene from transcripts, and PQL detection from product usage.
Stand up the data spine — pipelines from CRM, product usage, billing, ads, and web analytics into a warehouse, with agreed definitions of CAC, pipeline, ICP fit, and PQL before any agent touches them.
Earn automation, don't assume it — every agent ships in propose mode with a named human approver, and graduates to auto mode only when its acceptance rate earns it.
Instrument everything — every agent decision logged with the data snapshot behind it, a cost-per-outcome number per agent, and a scorecard leadership can read in one screen.
Fix the funnel we have — lead scoring and routing, the enrichment waterfall, de-anonymizing traffic, and the handoff from self-serve to sales-assisted.
Turn internal wins into external assets — demos, write-ups, and talk tracks the sales and SE teams use with customers.

Who You Are

You've shipped a revenue system that ran in production and moved a number you can name. Clay, n8n, Python, TypeScript, SQL, or plain APIs — the tool matters less than the outcome.
You're fluent in SQL against a warehouse — and you know why a metric definition has to be agreed before it's automated.
You've lived inside a GTM org — RevOps, growth, sales engineering, or as a founder doing all three. You understand how a rep, a marketer, and a CS manager actually spend their day.
You build with AI agents daily — not just drafting with them. You can explain where they fail and how you catch it.
You write specs people can build from — a one-pager a stakeholder signs off on and a teammate can execute without a meeting.
You have high agency — you identify the gap and go after it. You don't need a ticket to fix something broken.

Nice to Have

Agent orchestration and evals experience (queues, cron, Temporal, or similar).
Prior work on paid acquisition loops — creative generation, bid management, kill/promote logic.
Deep HubSpot fluency (APIs and data model).

Compensation & Benefits

The base salary range for this role is $150,000 – $200,000. In addition to base salary, this role is also eligible to receive and/or earn a discretionary bonus, based on Company's plans and in accordance with Company's policies. In addition to base salary, the role includes the opportunity to receive equity and a full range of benefits, including comprehensive health, dental, and vision coverage, flexible PTO, and 401(k).

Final compensation will be commensurate with the candidate's skills, experience, and qualifications and will be determined during the interview process. Ranges for candidates in other locations may differ based on cost of labor and other factors for those locations.

Equal Opportunity

Genspark is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.