We’re dedicated to speeding up the pace of innovation at manufacturing companies by automating product regulatory compliance. That frees up product and engineering teams to focus on building great products in automotive, aerospace, construction, medicine and healthcare, and more.
We’re a small, focused team, and we’re proud to be supporting the development of products used by over 100 million people worldwide. We’ve raised over $6M from IA Ventures, 8VC, and other institutional investors.
Our MissionAt Daptic, we’re building an AI platform to accelerate product development at manufacturing companies. We do that by creating NLP pipelines that identify all regulations that are relevant to any product in development, such as an electric battery or the latest level-4 autonomous driving system.
As engineers, reading complex legal and regulatory documents are often the last things we want to do. What we’re building means that teams can stop poring over 1000-page PDFs via Google Translate and can instead focus entirely on building the best systems that the world needs today.
In short, what you build with us will directly lead to companies launching physical products months faster than before.
RoleDaptic is seeking an experienced Staff Data Engineer to drive the development of our data and ML systems.
The ideal candidate has strong experience building and launching products in a startup environment. You are ready to work with new technologies and learn whatever is needed to solve the challenges we will face. You will operate across our backend and internal services, collaborating closely with our data and ML engineers to design, implement, and maintain scalable and performant systems.
We are based out of NYC, in-person, with flexibility for remote work at times. If you are not currently in NYC, we would ask you to plan to move to the city in the next few months.
ResponsibilitiesCollaborate closely with Data/ML and internal stakeholders to build performant, scalable systems that can be rapidly deployed for iteration
Lead the team in selecting the appropriate technology stack, framework, and tools for each initiative
Own the architecture and development of the working system and beyond
Strategize and articulate tradeoffs between speed and scalability based on the scope of the problem and the business need
Bachelors or Masters in Computer Science, Engineering, or other related field
6+ years of professional development experience, Staff Engineer/Tech Lead/Technical Founder experience
Strong, well-rounded technical skillset with experience managing the end-to-end development of a new product in a fast-growth organization—ready to tackle any part of the process and comfortable with starting from a problem instead of a full specification
Expertise in Python
Demonstrated proficiency with relational databases and microservice architecture
Experience deploying applications with AWS and Docker
Excellent communication skills and low ego
US work authorization is required; we do not currently support visa transfers
Experience with NoSQL and vector databases
Interest in Generative AI/LLMs—will work closely with our Machine Learning engineers to deliver AI-powered workflows
Leadership experience
Want to hear more? Please reach out to [email protected]
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