Solutions Engineer

Reposted Yesterday
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New York, NY, USA
In-Office
Mid level
Artificial Intelligence • Enterprise Web • Natural Language Processing • Manufacturing
The Role
Own the technical side of enterprise sales opportunities, including tailored demos, trial design, regulatory analyses, ROI modeling, and technical success measurement. Prototype customer-driven capabilities, create internal tooling and enablement materials, and communicate product architecture, data sourcing, AI methodology, integrations, and deployment to technical and executive stakeholders. Collaborate with account executives, regulatory engineers, Product, and Engineering while supporting customer evaluations and roadmap development.
Summary Generated by Built In
Solutions 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, consumer electronics, 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 Solutions Engineer at Daptic, you own the technical side of how we close and expand accounts with the world’s largest manufacturers. That means running the trials and demos, building custom analyses that map a customer’s own products and target markets to the regulations governing them, and standing behind how we source, classify, and secure our regulatory data. You carry the deepest product expertise outside of engineering into rooms with senior leaders, including C-Suite executives, VPs and SVPs of engineering and product compliance, heads of regulatory affairs, and general counsel.

Most of the teams we work with track their regulatory obligations in spreadsheets, lean on outside consultants, and fall back on institutional knowledge. Nobody has built end-to-end software for product compliance before, so we are defining the category ourselves. A large part of the job is translation, learning how a customer works today and rebuilding that way of working inside the platform. Some of that runs ahead of what the platform does now, so you also prototype and demo new capabilities alongside customers, and those sessions shape where the product goes next.

Core Responsibilities
  1. Own the Technical Side of the Deal Cycle

    • Work every enterprise opportunity alongside an Account Executive (AE) and a Forward-Deployed Regulatory Engineer (FDRE), owning the technical thread from first demo through trial to conversion and shaping account strategy with them.

    • Design and configure trials around a customer’s product portfolio, target markets, and regulatory priorities, then run them end to end against clear technical success criteria.

    • Deliver demos built around the customer’s own problem set, from the product lines carrying the heaviest regulatory burden to the topics moving fastest in their markets, and tailor the flow live based on who is in the room.

    • Build the ROI models and process design that show a customer how their compliance function would run with the platform in place.

    • Monitor how customers use the platform, measure that against the success criteria, and turn it into the impact case a customer’s leadership will fund.

  2. Prototype New Capabilities and Shape the Roadmap

    • Prototype new capabilities in response to the problems customers are raising, then demo them and run them in live trials with enterprise teams.

    • Carry what you learn from those customers back to Product and Engineering, where it shapes what we build and in what order.

    • Build the internal tooling and analyses that make the rest of the go-to-market team faster.

  3. Know the Product Inside and Out

    • Learn not just what the platform does but how we built it (e.g. where the data comes from, how sources stay current, how the models classify and recommend what a customer sees).

    • Put that depth to work in front of a customer’s IT, security, and AI governance teams, on sourcing, traceability, model methodology, integrations, and deployment.

    • Walk customer teams through what changes with the platform in place, and tie it to the results they want out of the evaluation.

    • Build the reusable demo assets, talk tracks, enablement docs, and objection handling notes that make the function repeatable.

What We’re Looking For

Requirements

  • 2-5+ years in solutions engineering, sales engineering, forward-deployed engineering, technical consulting, or strategy consulting with a technical focus, ideally in enterprise SaaS, data platforms, or AI products.

  • Demonstrated technical acumen and the ability to grasp our highly technical product, whether through a technical education or extensive experience with complex data or computer programming.

  • Substantial client-facing experience. You like being in the room and you handle hard questions well on the spot.

  • Working proficiency in Python and SQL, and the ability to pick up whatever language a problem requires.

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

  • 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.

Bonus

  • You build things nobody asked you to build. Side projects, internal tools, a company you started.

  • Experience working alongside regulatory, compliance, or engineering teams.

What We Value
  • 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 talking to customers and prospects. We expect customer research and time in the market from everyone.

  • A proven ability to ramp fast on unfamiliar material. We sell to experts across topics like safety, emissions, cyber, data privacy, and restricted substances, and across many industries.

  • 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 experience in solutions engineering, sales engineering, forward-deployed engineering, technical consulting, or technically focused strategy consulting
  • Experience ideally in enterprise SaaS, data platforms, or AI products
  • Technical acumen demonstrated through technical education or extensive experience with complex data or computer programming
  • Substantial client-facing experience
  • Working proficiency in Python and SQL
  • Ability to learn and use additional programming languages as needed
  • Experience building with AI tools and using AI in day-to-day work
  • Availability to work in the New York City office at least four days per week
  • Willingness to travel up to 25% as required
  • Experience working alongside regulatory, compliance, or engineering teams
  • Experience building side projects, internal tools, or a company
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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