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Peec AI

GTM Engineer

Posted 4 Days Ago
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In-Office
New York City, NY, USA
180K-210K Annually
Junior
In-Office
New York City, NY, USA
180K-210K Annually
Junior
Build and own Peec AI’s go-to-market automation systems across outbound, inbound, ABM, and sales workflows. Responsibilities include lead enrichment, scoring, routing, multi-channel campaigns, engagement-triggered follow-up, HubSpot workflows, email deliverability, data quality, attribution, documentation, and GTM playbooks. The role requires hands-on automation using Clay, Apollo, n8n, Zapier, Clearbit, HubSpot, and Python or JavaScript to improve conversion and reduce manual sales workload.
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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 hiring a GTM Engineer to build the outbound engine for Peec AI in the US. That means the enrichment, scoring, routing and sequencing that decides who we reach out to, when, and with what, and that keeps running when nobody is looking at it.

You'll work directly with the New York AE and SDR team, reporting to the Head of Sales, and own the stack end to end, Clay, Gong and whatever else you decide belongs in it. 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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