Product Engineer - New Product, First Owner

Title: Product Engineer - New Product, First Owner - Fuku

URL Source: https://apply.workable.com/j/F66582FAA1

Markdown Content: 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.