Product and Strategy Manager
$130,000-$160,000
ApplyProduct and Strategy Manager
Posted 3 days ago
SENIORITY
Manager
SALARY
$130,000-$160,000
About the role
- Define and own Dwight Funding’s AI product strategy, identifying high-leverage opportunities to embed AI/ML into underwriting, client workflows, and internal operations; engineering owns the architecture
- Own the product roadmap and backlog with a bias toward measurable business impact; set release priorities and make the go/no-go call on each release together with the Tech Lead
- Write clear product requirements, user stories, and acceptance criteria; bridge the gap between engineering reality and business need
- Bring good taste and a strong point of view on UX/UI; you hold a high bar for clean, intuitive product experiences and can defend design decisions with clear reasoning
- Partner directly with engineers - you understand their world and can go deep on technical architecture, APIs, and data pipelines when needed
- Own acceptance testing on PR preview environments and sign off on release candidates with rigor and speed
- Identify, prototype, and evaluate AI tools and workflows (LLMs, automation, intelligent data extraction) to enhance platform capabilities
- Define and track key product KPIs; use data to continuously sharpen prioritization and strategy
- Apply structured problem-solving and frameworks to ambiguous challenges, from competitive positioning to build-vs-buy decisions
- Translate complex platform capabilities into clear narratives for clients, investors, and non-technical stakeholders
- Represent Dwight Funding in the fintech and AI product community
- Technical fluency required: you understand the fundamentals of coding, data systems, and UX/UI design; you can review technical specs and architecture diagrams and are comfortable partnering closely with engineers; fintech experience preferred
- Hands-on with code: you use Claude Code day to day, push code yourself, and can read a diff or pull request and explain what it changes
- Consulting pedigree preferred: experience at a top-tier strategy or consulting firm (such as McKinsey, Deloitte, BCG, or Bain) or a comparable firm where you developed structured thinking, executive communication, and the ability to operate across ambiguous, high-stakes environments
- AI-native mindset: you actively use AI tools in your daily workflow, have experience integrating LLMs or ML models into products, and think instinctively about where AI creates leverage
- 4–8 years of combined experience across engineering, consulting, and/or product roles; we care more about the depth of your experience than the exact sequence
- Hands-on experience with Asana, Figma, GitHub (pull requests, Actions/CI results, preview builds), Claude Code, Box, Google Suite or equivalent tooling
- Strong command of iterative product development - you know how to move fast, ship, and keep cross-functional teams aligned with lightweight process and a predictable release rhythm
- Exceptional analytical and communication skills; you can go from a data model to a board-ready slide and back
- Thrives in fast-paced, small-team environments where ownership is total and ambiguity is the norm
- Bachelor’s degree required; backgrounds in business, finance, technology, or a quantitative field preferred; advanced degree is a plus. Location and Compensation New York office, full time, with a flexible hybrid work model.
Before you apply
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Your profile is current
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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