Clay
Join to apply for the
GTM Engineer (GTM Ops)
role at
Clay 1 day ago Be among the first 25 applicants Join to apply for the
GTM Engineer (GTM Ops)
role at
Clay This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $160,000.00/yr About Clay
Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding
GTM alpha —a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.
Why is Clay the best place to work?
Customers love the product (100K+ users and growing) We’re growing a lot (6x YoY last year, and 10x YoY the two years before that) Incredible culture (our customers keep applying to work here) Well-resourced (raised a Series B expansion in January 2025 from investors like Sequoia and Meritech)
Read more about why people love working at Clay here and explore our wall of love to learn more about the product.
GTM Engineer (GTM Ops) @ Clay
We’re looking for someone to build the systems that move deals forward.
This role is all about the heart of the funnel: pipeline management, opportunity workflows, deal acceleration, and post-sale handoffs. You’ll work closely with go-to-market leaders to turn high-level goals into real, scalable systems. You’ll spot gaps, solve for edge cases, and make sure the entire funnel—from first meeting to renewal—runs smoothly and intelligently.
What You’ll Do:
Build and maintain the systems that power our opportunity management, sales handoffs, forecasting, and post-sale workflows Design AI-native automations that surface next-best actions, trigger timely follow-ups, and improve deal velocity Connect GTM tools into one cohesive stack—and evolve that stack as we scale Work side-by-side with Sales, and Customer teams to translate business needs into technical solutions Balance long-term scalability with short-term speed; we’re growing fast, and we need systems that can keep up
What You’ll Bring:
4+ years of experience in GTM systems, revenue operations, or sales architecture at a fast-moving company Built or owned systems that support sales pipelines, post-sale processes, and customer lifecycle ops Enjoy working closely with non-technical teams and can turn messy problems into clean system design Strong sense of curiosity, tinkering and hacking Strong grasp of tools in the modern GTM stack as well as SQL Excitement about the potential of AI to make sales and customer workflows smarter and more automated
Compensation Range: $140K - $160K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Clay by 2x Get notified about new Operations Engineer jobs in
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GTM Engineer (GTM Ops)
role at
Clay 1 day ago Be among the first 25 applicants Join to apply for the
GTM Engineer (GTM Ops)
role at
Clay This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $160,000.00/yr About Clay
Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding
GTM alpha —a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.
Why is Clay the best place to work?
Customers love the product (100K+ users and growing) We’re growing a lot (6x YoY last year, and 10x YoY the two years before that) Incredible culture (our customers keep applying to work here) Well-resourced (raised a Series B expansion in January 2025 from investors like Sequoia and Meritech)
Read more about why people love working at Clay here and explore our wall of love to learn more about the product.
GTM Engineer (GTM Ops) @ Clay
We’re looking for someone to build the systems that move deals forward.
This role is all about the heart of the funnel: pipeline management, opportunity workflows, deal acceleration, and post-sale handoffs. You’ll work closely with go-to-market leaders to turn high-level goals into real, scalable systems. You’ll spot gaps, solve for edge cases, and make sure the entire funnel—from first meeting to renewal—runs smoothly and intelligently.
What You’ll Do:
Build and maintain the systems that power our opportunity management, sales handoffs, forecasting, and post-sale workflows Design AI-native automations that surface next-best actions, trigger timely follow-ups, and improve deal velocity Connect GTM tools into one cohesive stack—and evolve that stack as we scale Work side-by-side with Sales, and Customer teams to translate business needs into technical solutions Balance long-term scalability with short-term speed; we’re growing fast, and we need systems that can keep up
What You’ll Bring:
4+ years of experience in GTM systems, revenue operations, or sales architecture at a fast-moving company Built or owned systems that support sales pipelines, post-sale processes, and customer lifecycle ops Enjoy working closely with non-technical teams and can turn messy problems into clean system design Strong sense of curiosity, tinkering and hacking Strong grasp of tools in the modern GTM stack as well as SQL Excitement about the potential of AI to make sales and customer workflows smarter and more automated
Compensation Range: $140K - $160K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Clay by 2x Get notified about new Operations Engineer jobs in
New York, NY . Kearny, NJ $100,000.00-$160,000.00 3 weeks ago Operations Engineer, Operations Engineering
New York, NY $68,900.00-$126,400.00 2 weeks ago Brooklyn, NY $105,000.00-$125,000.00 4 weeks ago Research and Development Engineer I/II - Process Development
Brooklyn, NY $70,000.00-$120,000.00 1 month ago New York, NY $57,078.00-$85,646.00 17 hours ago Edison, NJ $80,000.00-$105,000.00 1 day ago New York, NY $95,000.00-$143,000.00 1 week ago New York, NY $100,000.00-$120,000.00 1 month ago New York, NY $70,000.00-$100,000.00 1 month ago Senior Operations Engineer, Operations Engineering
New York, NY $107,600.00-$177,900.00 2 weeks ago Product Operations Engineer - Printed Circuit Board Assembly/System Level
Secaucus, NJ $123,760.00-$185,640.00 2 weeks ago New York, NY $91,000.00-$124,000.00 1 week ago Seasonal Broadcast Operations Engineer (Part-Time)
Senior Operations Engineer, Amazon Logistics
New York, NY $107,600.00-$177,900.00 3 days ago Franklin Lakes, NJ $125,000.00-$135,000.00 6 days ago Brooklyn, NY $60,000.00-$100,000.00 1 month ago Hackensack, NJ $110,000.00-$115,000.00 1 day ago New York, NY $75,000.00-$75,000.00 5 days ago Carlstadt, NJ $90,000.00-$110,000.00 1 month ago Commercial Manufacturing - Associate Manager, Manufacturing Operations
Rahway, NJ $110,000.00-$130,000.00 3 weeks ago New York City Metropolitan Area 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr