Product Engineer
Fuku
Product Engineer
Fuku
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Fuku · San Francisco, United States · Full-time · Posted 2025-12-10
Workplace: on_site
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.
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Fuku.ai provides an AI-powered recruitment platform that helps HR teams find top candidates by delivering a curated, ranked list of profiles and resumes, with a focus on white-collar roles like lawyers, finance, and tech. It automatically matches job seekers to relevant opportunities based on experience, skills, and preferences, and lets professionals build detailed profiles. It differentiates itself with curated, ranked candidate lists within a subscription model for companies and a Talent Community that connects specialists to opportunities within client networks. Its goal is to help clients speed up hiring, optimize recruitment processes, and enable meaningful business improvements.
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