GTM Engineer

Reposted 6 Hours Ago
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New York, NY, USA
In-Office
Mid level
Artificial Intelligence • Enterprise Web • Natural Language Processing • Manufacturing
The Role
Build and own software, agents, integrations, and internal tools that support sales, growth, solutions engineering, and revenue operations. Automate trial and demo setup, provisioning, health reporting, customer analysis, regulatory deliverables, and account research. Work directly with go-to-market teams to identify constraints, prototype solutions, deploy production systems, and maintain monitoring and alerting. The role requires strong Python and SQL skills, API integration experience, AI fluency, rapid iteration, and close collaboration with customers and company leadership.
Summary Generated by Built In
GTM Engineer

Onsite (New York City, NY) | Full-time

About Daptic

Daptic is building the future of regulatory intelligence, with the mission to empower global manufacturers to navigate complex regulations seamlessly and accelerate the global launch of physical products.

With government regulations and standards becoming increasingly complex, product delays and innovation roadblocks are more common than ever. Daptic automates the identification and analysis of relevant regulations, standards, and product requirements, allowing R&D teams to focus on what they do best: creating groundbreaking products within automotive, aerospace, construction, medicine and healthcare, and beyond.

Currently, with a small focused team, we’re proud to be supporting the development of products used by over 100 million people worldwide.

We’ve secured over $22M in total funding from Canvas Ventures, IA Ventures, 8VC, and other institutional investors who believe in our vision to revolutionize product development. 

The Role

As a GTM Engineer at Daptic, you’ll write the software the go-to-market team runs on. This is a core engineering function inside go-to-market, with a direct line to revenue and full ownership of what ships. You build the agents, integrations, and internal tools that take repetitive work off the team, then keep building as the team hits its next constraint. Success looks like more pipeline, more trial throughput, and more customer analysis coming out of the same number of people.

You’ll work day to day with Sales, Growth, Solutions Engineering, and Revenue Operations, and directly with company leadership on where the leverage is.

Core Responsibilities
  1. Automate Trials and Demos

    • Build the tooling that stands up a trial or demo environment, covering workspace configuration, user provisioning, and the topic and product setup each prospect needs.

    • Automate trial health reporting so the team sees engagement, adoption, and risk every day without anyone assembling it by hand.

    • Build what turns a finished trial into the conversion case, including usage analysis, survey collection, and the reporting a customer’s leadership reads.

  2. Build the Agents and Internal Tools

    • Build the agents and internal applications the go-to-market team runs day to day, from account research through to the analysis that goes back to a customer.

    • Automate the customer deliverables that currently cost someone a day of manual work, including regulatory coverage analyses and product-to-regulation mapping.

    • Own what you ship in production, including monitoring, alerting, and the habits that keep the team unblocked when something breaks.

  3. Find the Next Constraint

    • Sit close enough to Sales, Growth, and Solutions Engineering to see where their time goes, then pick the automation that buys back the most of it.

    • Prototype fast, put the prototype in front of the people who asked for it, and retire what nobody uses.

    • Carry what you learn back to Product and Engineering, where GTM tooling often runs ahead of what the platform does today.

What We’re Looking For

Requirements

  • 2-5+ years writing software in a go-to-market engineering, growth engineering, internal tools, or forward-deployed engineering role, or as a product engineer who worked alongside a sales team.

  • Strong Python and SQL, and the ability to pick up whatever language or API a problem requires.

  • Experience building against business systems through their APIs, including CRMs, email and calendar, product analytics, and data warehouses.

  • Experience building with AI tools, with AI already part of how you work day to day.

  • A record of putting working software in front of real users quickly and improving it from there.

  • Available to work in our office in New York City at least 4 days a week.

  • Open to travel (0% - 25%) as required to support business needs.

What We Value

  • Comfort working without a spec or a product manager. You find the problem, scope it, and build it.

  • You bring structure to unstructured problems. Given an open-ended question with no obvious frame, you build one and work from it.

  • Strong attention to detail and a “110% mindset” in all tasks.

  • Ability to synthesize complex information into clear, actionable insights.

  • Exceptional communication skills, written, verbal, and visual, for both internal and customer-facing audiences.

  • Comfort managing multiple projects simultaneously, with an ability to quickly switch contexts.

  • Experience thriving in unstructured environments, demonstrating adaptability and initiative.

  • Proven track record of meeting and exceeding goals in a fast-paced, technical environment, such as early promotions or top-of-cohort ratings.

Skills Required

  • 2-5+ years of software development experience in go-to-market engineering, growth engineering, internal tools, forward-deployed engineering, or product engineering alongside a sales team.
  • Strong Python and SQL skills.
  • Ability to learn and use other programming languages and APIs as needed.
  • Experience integrating business systems through APIs, including CRM, email, calendar, product analytics, and data warehouse systems.
  • Experience building with AI tools and using AI in daily work.
  • Demonstrated ability to deliver working software quickly to real users and iterate based on feedback.
  • Availability to work onsite in the New York City office at least four days per week.
  • Open to travel 0% to 25% as required by business needs.
  • Strong written, verbal, and visual communication skills.
  • Ability to manage multiple projects and switch contexts quickly.
  • Experience thriving in unstructured environments with adaptability and initiative.
  • Proven record of meeting or exceeding goals in a fast-paced technical environment.
Am I A Good Fit?
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The Company
18 Employees

What We Do

Daptic is an AI-driven regulatory intelligence platform that helps manufacturers identify, analyze and monitor global regulations and standards. The platform connects regulatory content to product teams and development workflows, using NLP and AI to surface applicable requirements, flag changes rapidly, and reduce compliance delays — enabling companies to design and launch compliant products faster across automotive, aerospace, and other regulated sectors.

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