Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. The company’s technology, talent, and research have driven outcomes for the world’s greatest companies,…
Distyl AI partners with blue-chip leaders to help them create the enterprises of the future. The company’s technology, talent, and research have driven outcomes for the world’s greatest companies,…
Scale: Reported ~141 employees and 120M+ end users reached
Funding: Total reported funding ~USD 202M including a reported USD 175M Series B
Company Overview
Problem Domain
Enterprise AI/decision infrastructure for industries including telecommunications, healthcare, manufacturing, insurance, and retail.
Founded
2022
Industry
Enterprise software / Artificial intelligence
Funding Track Record
Seed- Apr 2023
USD 7000000
Reported early backers include Coatue Management, Nat Friedman, Brad Gerstner, and Dell Technologies Capital
Series A- Nov 2024
USD 20000000
Reported participation by Lightspeed Venture Partners and Khosla Ventures
Series B- Sep 2025
USD 175000000
Reportedly raised at a reported USD 1.8B valuation with participation from Khosla Ventures, Lightspeed, Coatue, Dell Technologies Capital and DST Global
Investor Signal
“Backed by prominent venture investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, Dell Technologies Capital, and DST Global”
Founders
What we do
Join the Team
Frontend Product Engineer
On-SiteNew York, San Francisco Bay Area, US
On-Site • New York, San Francisco Bay Area, US
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Who you are
Early-career builders (0–3 years of software engineering experience)
Comfortable building modern web applications using tools such as TypeScript, React, modern component libraries, API-driven architectures
Sharp eye for detail and a natural sense for what makes a product sing
Care about how a workflow feels effortless, how an interface guides people naturally, how the right design choice can elevate an entire experience
No design background required — just a real passion for products done well and the confidence to push for that standard
Actively use AI tools in your daily workflow for writing and debugging code, generating prototypes, exploring designs, and accelerating iteration
Excited about experimenting with new ways of building software with AI
Comfortable starting with an unclear problem and working with users to figure out what should be built
Enjoy working with real users and understanding operational problems
What the job involves
Benefits
Equity options and healthcare
Collaborative and supportive work environment
Strong focus on personal and professional growth
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We are looking for Frontend Product Engineers to build these ai applications
This role sits at the intersection of engineering, product, and AI systems. You will work closely with customer domain experts, AI strategists, AI Researchers, and the Platform Engineering Team to design and ship interfaces that allow humans to guide, evaluate, and improve AI systems in production environments
Many of these applications begin as forward-deployed tools for specific customers. The best ideas and patterns are then incorporated back into the Distyl platform
If you enjoy building products quickly, working directly with users, and experimenting with new AI-native ways of developing software, this role is for you
Design and ship interfaces where operators interact with AI systems to perform real operational work. These applications may include: knowledge capture tools, evaluation and feedback workflows, AI configuration and control interfaces, workflow orchestration tools, and custom applications for enterprise use cases
Collaborate closely with AI Strategists and customer domain experts to understand real workflows
Translate those workflows into working product experiences that allow operators to interact with and guide AI systems
Move quickly from idea → prototype → production
Use real user interactions and system behavior to refine both the product experience and the AI systems it supports
Integrate applications with LLMs, evaluation pipelines, and internal AI infrastructure
Understand how interface design affects: system behavior, feedback quality, user trust, system improvement loops
