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Netic

Software Engineer, Product

Reposted 9 Days Ago
In-Office
San Francisco, CA, USA
Junior
In-Office
San Francisco, CA, USA
Junior
The Software Engineer will design, code, and ship features for an AI platform, collaborating with customers to enhance usability and ensure reliability in production.
The summary above was generated by AI

Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

Product Engineers at Netic build the features that put AI in the hands of real businesses. This role combines technical excellence with customer empathy, crafting products that make complex AI feel simple and delivering immediate value to essential service industries.

What You'll Do:

  • Build agentic products: Design, code, and ship full-stack features for Netic's AI platform.

  • Co‑create with customers: Work closely with our customers to understand workflows, gather feedback, and turn pain points into features that stick.

  • Own end‑to‑end delivery: Drive projects from spec to production, handling data models, APIs, front‑end polish, and post‑launch iteration.

  • Ensure quality: Build, test, and monitor features in production to ensure reliability and performance.

What You'll Bring:

  • Proven product builder: 2+ years delivering user‑facing software at scale; you’ve carried features through multiple release cycles.

  • Full‑stack fluency: Comfortable with React, TypeScript, Python; experience with databases and cloud infrastructure.

  • AI experience (nice‑to‑have): Hands‑on with LLM APIs, embeddings, or RAG patterns—or hunger to learn fast.

  • Customer empathy: Track record of translating stakeholder goals into crisp technical specs and delightful products.

  • Founder‑level ownership: You run toward ambiguity, write clean code quickly, and see failures as data for the next sprint.

  • Excellent communicator: Able to explain architectural trade‑offs to eng and business outcomes to execs.

What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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