# Full-Stack Engineer at Pangram Labs > Onsite · United States · Unspecified · Full-stack · open. Source: https://alderhq.app/jobs/ashby%3Apangramlabs%3A1b22c8ec-d3e9-43ea-bb36-f907fb162fdd (read 2026-11-07). ## Facts (observed) - Company: [Pangram Labs](https://alderhq.app/companies/pangram-labs) - Location text: Brooklyn - Where it can be done from (inferred): Onsite · United States (evidence: "Location: Brooklyn") - Posted: 2026-09-11 (56 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-03 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/pangramlabs/1b22c8ec-d3e9-43ea-bb36-f907fb162fdd - Skills listed (inferred): TypeScript, JavaScript, React, Next.js, Python, LLMs, Distributed systems ## Pay and sponsorship - Posted pay: $180k–$260k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 36): p25 $167k, median $183k, p75 $220k ## Description (the employer's text) ### A Note on applying to Pangram At Pangram, we firmly believe that genuine human expression, and our ability to communicate with each other online and through the written word, is a fundamental right- and a value worth preserving. Please don't use AI to answer any of the questions as part of your application - we want to hear from you! ### About Pangram Labs Pangram Labs’ mission is to protect authenticity and preserve human connection in the context of the generative AI era. We build the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms and build products to bring our technology into people's daily lives. We provide tools for individuals, institutions and companies to detect the use of AI in written content. Pangram is a recognized thought leader in the space of AI detection. Our CEO & Co-founder Max Spero has been named as one of Time Magazine’s 100 Most Influential People in AI and Pangram has been named one of Time’s Best Inventions of 2026. We are looking for high agency, mission-driven, and passionate builders to join our team! ### About the Role As a Full-stack engineer at Pangram, you will own the product lifecycle from end-to-end. You will assist designers and PMs in understanding our users, architecting product flows, building clean UIs, microservices, and APIs, and owning instrumentation and observability. We are looking for mid-level and senior Full-Stack and Product Engineers. This is a full-time, on-site role in our Brooklyn office reporting to our CTO. ### What You'll Do Own and ship product features end-to-end in both consumer and B2B verticals. Work closely with GTM, Product, and Research functions to bring Pangram’s machine learning technology to polished user experiences Turn design specs and prototypes into shippable, working products Review code and raise the quality bar for code across the company ### Qualifications You are a great fit for this role if you have: At least 3 years of professional software engineering experience Fluency in Python and a modern front-end framework (we use React and Next.js with Typescript) Fluency in relational databases, APIs, and microservices Experience with integrating third-party services Fluency and comfort with AI coding tools and thoughtfulness around their use Based in or willing to relocate to the NYC area to work from our office on a hybrid schedule Comfort across the stack: front-end and back-end, with strength in either and at minimum comfort in the other. A strong sense of taste and craftsmanship, bias towards action, and clear communication skills ### Nice to have You are an exceptional fit for this role if you also have: Experience with browser extensions Experience with mobile apps Working experience at an early stage startup Interest in AI, machine learning, and LLMs; including AI safety and responsible AI --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Apangramlabs%3A1b22c8ec-d3e9-43ea-bb36-f907fb162fdd and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.