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Product Engineer - New Product, First Owner
Product Engineer - New Product, First OwnerFuku • San Francisco, CA, US
Product Engineer - New Product, First Owner

Product Engineer - New Product, First Owner

Fuku • San Francisco, CA, US
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  • [job_card.full_time]
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Job Description

Job Description

Product Engineer – New Product, First Owner

Location : San Francisco, CA

Compensation : $150,000 – $400,000 + 0.1%–1% Equity

Type : Full-Time

Visa Sponsorship : H-1B, O-1, OPT

Priority : High

About Company

Client is a profitable, fast-growing, YC-backed company supported by top investors (GC, SV Angel, A Capital, Liquid 2, etc.). The company provides live company and people data via APIs and full dataset delivery, making hard-to-get data easy to use at scale. Their technology pipes in live data from over a dozen sources and delivers it instantly to customers, serving use cases such as :

  • Automatic pipeline building
  • Pipeline prioritization
  • Champion watching
  • Company and people triggers for sales and marketing automation
  • Investment deal sourcing

Client’s goal is to index all important data on the web and deliver it to customers in an easy-to-use way. The company is launching a new consumer product to expand from

About the Role — Product Engineer (New Product, First Owner) :

The Company is seeking its first engineer dedicated to a new product line. This is a high-autonomy, high-ownership role for a builder, grinder, and founder-type engineer.

You will own the product end-to-end from 0→1, including discovery, prototyping, building, shipping, and iterating. The product is a consumer-facing, self-serve layer on top of Client’s data infrastructure, enabling non-technical users (HR, Sales, Ops) to create AI agents from natural language prompts.

Key Responsibilities :

  • Lead the 0→1 build of a new product on top of Client's APIs.
  • Build core algorithms for deterministic AI agents created from natural language.
  • Own product strategy and execution : user discovery, scoping, rapid prototyping, shipping, iteration, and metrics.
  • Collaborate closely with Sales and Customer Success to identify high-leverage workflows.
  • Build production-quality UX (fast, simple, correct).
  • Work with the Head of Engineering on architecture, reliability, and data / privacy guardrails.
  • Requirements :

  • 5+ years shipping production-grade software.
  • Strong full-stack engineering fundamentals.
  • Proven 0→1 product experience.
  • Experience working with sales / GTM teams.
  • Ability to design and implement core algorithms, AI agent workflows, and natural language interfaces.
  • Willingness / eligibility to work in-person in San Francisco for prototyping days (visa sponsorship available).
  • Prior startup experience (Series A / B+ preferred).
  • Preferred Qualifications (Green Flags) :

  • Experience in growth engineering at top companies (Ramp, Brex, Rippling, Workato).
  • Founder or early-builder background, ideally in sales tooling, workflow automation, or data APIs.
  • Strong CS fundamentals — graduates from IIT / IIIT / DTU or top-tier equivalents.
  • Strong product mindset — ability to translate vague needs into shipped product.
  • Familiarity with sales data ecosystems (funding, jobs, company data).
  • Demonstrated ownership and tenure (2+ years in prior roles).
  • Disqualifying Factors (Red Flags) :

  • Job hopping (
  • No experience working with sales or customer-facing teams.
  • Extreme over-engineering tendencies.
  • Weak exposure to API-based tools, real-time data, or workflow systems.
  • Lack of grinder mentality — low resilience for high-effort build cycles.
  • Interview Process :

    1. 30-min video call with CEO

    2. 45-min technical screen with Head of Engineering

    3. 1-day onsite prototyping

    4. Final CEO chat

    5. Offer

    Ideal Companies From :

  • Brex
  • Ramp
  • Rippling
  • Plaid
  • Airtable
  • Numeral
  • (Also acceptable : strong growth-stage SaaS / data infra companies)
  • Biggest Note :

  • Candidates who are top engineers, graduated from top universities, and have experience in big tech moving into startups are almost certain to be shortlisted.
  • Client is open to candidates with ex-quant backgrounds as well.
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