# Product Engineer - New Product, First Owner

> Fuku · San Francisco, United States · Full-time · Posted 2025-12-10

**Workplace:** on_site

## 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  
  
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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 <1% customer coverage to the full market.  
  
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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.  
  
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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.  
  
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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).  
  
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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).  
  
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Disqualifying Factors (Red Flags):  
\- Job hopping (<2 years each role) without evidence of strong output.  
\- 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.  
  
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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  
  
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Ideal Companies From:  
\- Brex  
\- Ramp  
\- Rippling  
\- Plaid  
\- Airtable  
\- Numeral  
\- (Also acceptable: strong growth-stage SaaS/data infra companies)  
  
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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.

## Apply

[Apply at Fuku](https://apply.workable.com/fuku/j/F66582FAA1/apply)

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