Software Engineer - Product at Fuku

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

250000.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Product Mindset, AI, Full-Stack Development, Collaboration, Code Quality, Reliability, Customer Experience, Rapid Iteration, Feature Development, Backend Services, Frontend Experiences, Scalable Systems, Customer Feedback, Cross-Functional Work, Startup Environment

Industry

Retail Apparel and Fashion

Description

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) --- 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 --- 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. --- 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 --- 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 --- 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 --- 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 --- 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 --- 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 --- Biggest Note Candidates with experience in big tech, AI expertise, and strong fundamentals (smart / from top university) are almost certain to be shortlisted.

Responsibilities

The Software Engineer will own feature development end-to-end, including backend services and AI-driven workflows. They will collaborate closely with Product, Customer Success, and GTM teams to maintain high code quality and navigate changing requirements.