Product Engineer - New Product, First Owner
At a glance
Mid-level Software Engineering role at Fuku. San Francisco · full-time · $150,000–$400,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build the new product on the company’s APIs, taking it from early discovery through launch and ongoing improvements
- Create the algorithms and natural-language workflows that let users set up deterministic AI agents
- Find useful workflows with Sales and Customer Success, then set product priorities and track results
- Ship a fast, clear, reliable user experience and work with the engineering lead on architecture and data safeguards
What you bring
- At least five years delivering production software, with strong full-stack engineering skills
- A track record of taking a product from concept to launch
- Experience working with sales or go-to-market teams and building natural-language interfaces or AI agent workflows
Who this fits
This role suits an autonomous product builder who can move from user discovery to working software and iteration. You’ll work in person in San Francisco for prototyping days; visa sponsorship is available.
From the employer
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 <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.
---
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 (<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.
---
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.
Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Software Engineering$150k+
Find me workBy the team behind techroles.