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 RoleWe'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 DoBuild 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
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
Knowledge of attribution modeling, tracking setup, and analytics tools
Experience building or scaling a GTM or RevOps function in a high-growth startup
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
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.
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.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



