Senior Product Engineer

Starbridge · Artificial Intelligence

seniorRemote

Salary Range (USD)

Negotiable

Location

New York City, USA

Visa Support

Not mentioned

Funding Stage

early-stage

Job Responsibilities

  • Develop user‑facing parts of the platform using React and TypeScript
  • Collaborate closely with product and design teams
  • Craft performant, stable front‑ends that explain technical concepts to non‑technical users
  • Iterate quickly based on customer feedback

Required Skills

Strong front‑end development with ReactProficiency in TypeScriptAbility to build performant and stable UI componentsCollaboration with product and design stakeholders

Engineering Culture & Tech Stack

ReactTypeScript
huge ownership
product impact
moving fast
early-stage

Raw Post

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Starbridge | Senior AI Engineer and Senior Product Engineer | NYC or Remote | Full-time | https://starbridge.ai/ Starbridge is building an AI platform that turns large-scale public and enterprise data into reliable sales insights. We are early, moving fast, and building from zero to one, so this role will have huge ownership and product impact. AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face. Product Engineer: (React/Typescript) who would work closely with product and design to build user-facing parts of the platform. You will craft performant, stable frontends that explain technical concepts to non-technical users and help us iterate fast based on customer feedback. We're looking to build our in-person team in NYC but also open to remote! Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume.

AI Risk Insights

No major risk signals detected.

Recent News

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Data Source

Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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