D
AI Summary
Own end-to-end product development for an AI-driven enterprise software platform, bridging customer needs with full-stack implementation. Build AI agentic workflows, data pipelines, and cloud infrastructure while collaborating directly with enterprise clients. Requires 0-5 years of full-stack/product engineering experience with a strong track record of shipping features to real users.
Key Highlights
Full-stack ownership of AI-powered enterprise software features (LLM integrations, agentic workflows, data pipelines)
Direct customer collaboration to translate enterprise pain points into production-ready solutions
High-impact role at a seed-stage, venture-backed startup with live enterprise deployments
Key Responsibilities
Design and implement full-stack features including LLM integrations, agentic workflows, and data pipelines
Collaborate directly with enterprise customers to identify and resolve product friction points
Own feature development from ideation through deployment, ensuring high-quality, production-ready solutions
Work with TypeScript/React for frontend and Python/FastAPI for backend development
Leverage cloud infrastructure to scale and deploy AI-driven enterprise software
Technical Skills Required
Benefits & Perks
$150,000–$250,000 annual base salary + equity
Hybrid work policy (in-office Mon-Thu, remote Fri)
Visa sponsorship for eligible candidates (H-1B, O-1, transfers)
Nice to Have
Experience with B2B or ERP-adjacent products
LLM-powered feature development
Recent ambitious side projects or hackathon contributions
Job Description
San Francisco, CA
- Hybrid
- Full-time Compensation: $150,000–$250,000 + equity
Our client is a seed-stage, venture-backed startup building an agentic AI platform for enterprise software delivery. Their product is already in live use across large enterprise implementations, and they are growing a small, high-caliber engineering team.
Founded 2024
- :15 people
- Industry: B2B, Enterprise, AI
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As a Product Engineer, you will own features end to end across the full stack, working on a product embedded in live, high-stakes enterprise implementations. You will talk directly with customers, turn their problems into working software, and own what you ship all the way through deployment and beyond. You take best practices seriously and treat AI tooling as a way to move faster without cutting corners.
What You Will Be Doing
- Build across the full stack: data pipelines, LLM integrations, agentic workflows, and the customer-facing interfaces users rely on daily.
- Work directly with customers to translate real friction into shipped product, then own it through deployment.
Requirements
- 0 to 5 years of experience as a full-stack or product engineer.
- A track record of shipping products or features to real users (strong internships and substantial side projects count for newer grads).
- Experience at an organization with a high engineering bar, ideally a venture-backed startup.
- A computer science degree from a strong program, with clear evidence of technical excellence.
- Full-stack capability, ideally TypeScript/React on the frontend and Python/FastAPI on the backend.
- Demonstrated ambition and high ownership, shown through ambitious side projects, hackathons, strong companies, or similar signals.
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- Experience at companies building B2B or ERP-adjacent products.
- Experience building LLM-powered features.
- A portfolio of recent, ambitious side projects.
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- Own meaningful work end to end on a product used in large, real-world enterprise deployments.
- Join a small, high-bar team where the standard is ambition and ownership.
- Competitive base pay plus above-market equity at an early-stage company.
- Location: San Francisco, CA
- Work policy: Hybrid, in-office Monday to Thursday, remote Friday
- Compensation: $150,000–$250,000 + equity
- Visa sponsorship: Open to transfers (OPT, H-1B); H-1B and O-1 sponsorship for US-based candidates
- Employment type: Full-time
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