Software Engineer - Product
At a glance
Mid-level Software Engineering role at Fuku. New York · full-time · $150,000–$250,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Take product features from start to finish, covering backend services, frontend experiences, and AI-based workflows
- Turn customer feedback into quick updates and improvements to existing features
- Work with Product, Customer Success, and GTM teams to shape and deliver product work
- Build systems that can scale, while keeping code tested, monitored, and dependable
What you bring
- Two to eight years building full-stack software, with four to eight years preferred
- Experience taking features across both backend and frontend, with familiarity with AI or LLMs, or the ability to learn them quickly
- Strong product judgment, a focus on customer experience, and a record of working effectively with non-engineering teams
Who this fits
This suits a product-minded engineer who takes ownership, adapts to changing priorities, and cares about reliable customer-facing work. The role is full-time and requires working in person in New York City. Visa sponsorship is not available.
From the employer
Software Engineer – Product
Location: New York (HQ – In-Person)
Type: Full-Time
Compensation: $150,000–$250,000
Equity: Competitive
Visa: Not Available
Experience: 2–8 years (4–8 preferred)
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About Client
Client is revolutionizing customer engagement for home service companies through AI-powered conversational agents. These agents handle high-value inbound calls, booking jobs, qualifying leads, and driving revenue with speed and consistency that surpasses human call centers. In less than two years, The Company has grown to 50 employees and is backed by a dynamic, in-office NYC culture. Operating in a $500B+ market where 85% of missed calls result in lost customers, The Company is building the leading platform for AI-driven customer engagement. The company serves major home service brands and plans to quadruple its headcount in 2025, offering engineers immediate visibility and impact.
- Stage: Series A
- Team Size: ~50
- Industry: AI Tools / Customer Engagement
- Founded: 2023
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Role Summary
Client seeks a Product-minded Software Engineer who excels at the intersection of engineering, product thinking, and rapid iteration. This is a fully in-person role based in NYC. You will own features end-to-end, from backend services to AI-powered user experiences, and collaborate closely with Product, Customer Success, and GTM teams. Your work will directly influence the core product used by thousands of customers daily. This role is ideal for someone who values impact over simply shipping code.
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Responsibilities
- Own feature development end-to-end, including backend services, frontend experiences, and AI-driven workflows
- Convert customer feedback into rapid iterations and feature improvements
- Collaborate closely with Product, Customer Success, and GTM teams
- Maintain high code quality with strong testing, monitoring, and reliability practices
- Navigate changing requirements with autonomy and strong prioritization
- Build scalable systems powering AI-driven customer engagement
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Requirements
- 2–8 years full-stack engineering experience (4–8 preferred)
- Familiarity with AI, LLMs, or AI-assisted systems (or eagerness to learn quickly)
- Strong product mindset with a focus on impact and customer experience
- Experience owning features end-to-end across backend and frontend
- Comfortable working cross-functionally with non-engineering teams
- High code quality standards and a strong reliability mindset
- Thrives in fast-paced, high-energy startup environments
- Must work in-person in NYC, full-time
- Bonus: startup, hacker, or founder background
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Benefits & Perks
- Opportunity to work on AI-powered conversational agents in a massive, under-served market
- Direct visibility and immediate product impact
- High-energy, collaborative, in-office NYC culture
- Join a fast-growing team scaling 4× in 2025
- Chance to influence product direction and customer-facing experiences
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Green Flags
- Strong academic or project background (top schools helpful but not required)
- Evidence of delivering high-impact product outcomes
- Startup, hacker, or founder experience
- Proven success in fast-paced, high-growth environments
- Fast learner in AI/LLMs
- Low ego, collaborative, high-energy personality
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Red Flags
- Frequent job hopping (every 1–2 years)
- Significant unexplained employment gaps
- Average academic background with no exceptional experience
- Lack of ownership of end-to-end or product-critical projects
- Mostly contracting roles without deep product involvement
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Interview Process
1. Pending Approval
2. Application Review
3. Initial Screen
4. Technical Screen
5. Onsite
6. Founder Screen
7. References
8. Offer
9. Hired
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Biggest Note
Candidates with experience in big tech, AI expertise, and strong fundamentals (smart / from top university) are almost certain to be shortlisted.
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