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:
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Automatic pipeline building
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Pipeline prioritization
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Champion watching
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Company and people triggers for sales and marketing automation
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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.
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.
Responsibilities
Key Responsibilities:
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Lead the 0→1 build of a new product on top of Client’s APIs.
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Build core algorithms for deterministic AI agents created from natural language.
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Own product strategy and execution: user discovery, scoping, rapid prototyping, shipping, iteration, and metrics.
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Collaborate closely with Sales and Customer Success to identify high-leverage workflows.
Work with the Head of Engineering on architecture, reliability, and data/privacy guardrails.
Requirements
Requirements:
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5+ years shipping production-grade software.
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Strong full-stack engineering fundamentals.
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Proven 0→1 product experience.
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Experience working with sales/GTM teams.
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Ability to design and implement core algorithms, AI agent workflows, and natural language interfaces.
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Willingness/eligibility to work in-person in San Francisco for prototyping days (visa sponsorship available).
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Prior startup experience (Series A/B+ preferred).
Nice to have
Preferred Qualifications (Green Flags):
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Experience in growth engineering at top companies (Ramp, Brex, Rippling, Workato).
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Founder or early-builder background, ideally in sales tooling, workflow automation, or data APIs.
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Strong CS fundamentals — graduates from IIT/IIIT/DTU or top-tier equivalents.
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Strong product mindset — ability to translate vague needs into shipped product.
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Familiarity with sales data ecosystems (funding, jobs, company data).
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Demonstrated ownership and tenure (2+ years in prior roles).
Disqualifying Factors (Red Flags):
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Job hopping (<2 years each role) without evidence of strong output.
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No experience working with sales or customer-facing teams.
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Extreme over-engineering tendencies.
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Weak exposure to API-based tools, real-time data, or workflow systems.
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Lack of grinder mentality — low resilience for high-effort build cycles.
Hiring process
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:
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Brex
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Ramp
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Rippling
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Plaid
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Airtable
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Numeral
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(Also acceptable: strong growth-stage SaaS/data infra companies)
Biggest Note:
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Candidates who are top engineers, graduated from top universities, and have experience in big tech moving into startups are almost certain to be shortlisted.
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Client is open to candidates with ex-quant backgrounds as well.