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GTM Engineer

PeecNew York City🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

As a GTM Engineer at Peec AI, you'll shape the future of AI search analytics by building innovative go-to-market systems, offering significant opportunities for skill development and impact in a rapidly growing category. This role is ideal for a driven, mid-senior engineer eager to own critical GTM technology and drive customer acquisition for a well-backed, category-defining company. Apply now to be at the forefront of this exciting market!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Location
New York City, United States
Posted
3 hours ago
SEOEEOCHubSpotJavaScriptPython

Job Description

About Peec AI

Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Perplexity, Gemini, and Google’s AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.

We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, past $10M ARR, with an 80+ person team across our Berlin HQ and our new New York office.

About The Role

We’re looking for a GTM Engineer to build the systems behind how Peec AI wins customers in the US: automated enrichment, scoring, routing, and outbound that runs without anyone touching it. We sell visibility in AI search, so the best GTM plays here are built on the same signals our product measures. Your category is your playground. This is an on-site role in our New York office.

What You’ll Do

  • Build the GTM flywheel across outbound, inbound, ABM, and sales workflows using tools like Clay, Apollo, n8n, Zapier, and Clearbit

  • Design and maintain automated lead enrichment, scoring, routing, and multi-channel outbound sequences, and launch 3 to 5 scalable campaigns each month

  • Turn website and content engagement into outbound triggers, ABM plays, and AE follow-up workflows

  • Own the full GTM tech stack: email deliverability, HubSpot workflows, data cleanliness, attribution, and the build-versus-buy calls as it evolves

  • Build the documentation and playbooks that make the whole system repeatable

What We’re Looking For

  • 2+ years in GTM engineering, RevOps automation, or a technical growth role in B2B SaaS

  • A builder who can scope a messy, multi-source data problem and ship something the sales team actually trusts

  • Hands-on with tools like Clay, HubSpot, Apollo, Zapier, and n8n, with enough Python or JavaScript to keep going when the no-code tools run out

  • AI-native by default: your first instinct is to automate, not to add headcount

  • A track record of increasing conversion and reducing manual SDR and AE workload through automation

Bonus Points

  • Knowledge of attribution modeling, tracking setup, and analytics tools

  • Experience building or scaling a GTM or RevOps function in a high-growth startup

What We Offer

  • Exciting and challenging work with real impact and ownership as we build our US team in New York

  • Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside

  • Comprehensive benefits package

  • Regular team events and off-sites

  • A collaborative, in-office work environment in the heart of New York

EEOC statement

Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.

 

Compensation

The base salary range for this position is $144,000 to $168,500 annually with anticipated on-target earnings being $180,000-$210,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

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