Head of Product

Obin AI; New York (NY); Hybrid; USD 250,000 - 325,000; Full time

Benefits offered by this job

Annual bonus

Equity

Job summary

Obin AI is seeking a Head of Product to own the product strategy and execution across its platform. This hands-on leadership role collaborates with engineering and our SME network to translate institutional-finance expertise into product logic and scalable workflows.

You'll lead a product organization, drive customer discovery with PE, insurance, and private-credit clients, and ensure adoption in production and regulated environments.

Qualifications

• 10+ years in product management with hands-on leadership experience.
• Direct experience shipping enterprise/institutional products.
• Deep domain fluency in private equity/asset-management, insurance, or private credit/fund administration.
• Genuine technical fluency with AI/ML-driven products.
• Ability to build and communicate strategy that guides the company.

Responsibilities

• Own product strategy and roadmap for Obin's platform and align with growth goals.
• Engage with customers to understand workflows, pain points, and success criteria.
• Partner with engineering on trade-offs for AI-native products and automation boundaries.
• Encode SME expertise into configuration, workflows, and baseline solutions.
• Build and lead the product function, including hiring and defining operating model.
• Represent product to customers, investors, and leadership, shaping business outcomes.

Skills

Product management

PM leadership

Enterprise customers

AI/ML product fluency

Strategic planning

Job description

Head of ProductNYC-MetroEngineering/ProductHybridFull-time### Build the AI workforce that finance can actually trust.##### ##### We are closing the gap between what AI promises and what regulated institutions can responsibly deploy.##### If you fall in love with hard problems — not easy answers — this is where your work matters.The RoleWe're hiring our first Head of Product to own product strategy and execution across Obin's platform. This is a builder's role: you'll be deeply hands-on — partnering with engineering to ship AI-driven workflows, working directly with our domain SME network to translate institutional-finance expertise into product logic, and engaging PE, insurance, and private-credit customers to ensure what we build actually gets adopted in production, regulated environments. As we grow, you'll build and lead the product organization.What You'll Do- Own product strategy and roadmap for Obin's platform, connecting a compelling, well-founded strategy to company-level growth — not just a bucketed list of feature requests.- Go deep with customers (PE operations teams, insurance claims/carrier ops, private-credit fund administrators) to build a first-hand, evidence-backed understanding of their workflows, pain points, and what \"good\" looks like — beyond what's asked for in sales calls.- Partner closely with Engineering\\*\\* on technical trade-offs inherent to an AI-native product: model selection and evaluation, human-in-the-loop design, data/reference-data architecture, and where automation should (and shouldn't) replace expert judgment.- Translate domain SME expertise into product\\*\\*, working with Obin's network of senior asset-servicing, claims, and valuation specialists to encode their judgment into configuration, workflows, and baseline solutions.- Operationalize strategy into shippable increments\\*\\*, setting objectives that cascade to the team level, running a tight build-measure-learn loop, and adapting the roadmap as you learn — without losing coherence across the platform.- Build and lead the product function\\*\\* as Obin scales — hire, coach, and develop product managers; stand up the product operating model appropriate to our stage (not a big-company process overlay on a startup team).- Operate as a business leader\\*\\*, not just a product manager: understand our unit economics, what drives revenue and margin in our segments, and how product decisions affect them; represent product in front of customers, investors, and the leadership team.Must-Haves- 10+ years in product management, including 3+ years directly managing PMs\\*\\*, with a track record of owning and shipping products that customers demonstrably love (not just shipped — adopted, renewed, expanded).- Deep domain fluency in at least one of: private equity/asset-management operations, insurance (P&C) claims, or private credit/fund administration\\*\\* — enough to challenge and validate SME input, not just relay it.- Genuine technical fluency\\*\\*: comfortable driving trade-offs on AI/ML-driven products, partners with engineering as a peer rather than an \"arms-length\" requester, and can break down ambiguous technical challenges into scoped problems. (Prior technical degree, hands-on coding experience, or a track record building technically demanding products is a strong signal here.)- Proven ability to build and communicate strategy that changes what the company does\\*\\* — not a retrospective narrative fitted to a roadmap that would have happened anyway.- 0-to-1 or 1-to-n product-building experience\\*\\* at a startup or a new business line inside a larger company, comfortable with ambiguity and a small team.- Direct customer-facing experience\\*\\* with enterprise/institutional buyers — able to run discovery, negotiate scope, and hold a credible product conversation with sophisticated operations and technology counterparts at PE firms, insurers, or credit funds.- Hands-on, player-coach orientation\\*\\*: at this stage, you will personally write specs, run discovery calls, and dig into edge cases — not solely manage a team that does.Good-to-Haves- Experience at an AI-native or AI-heavy startup, especially building products involving LLMs, agentic workflows, or human-in-the-loop automation.- Prior experience working with or managing a distributed/offshore domain-expert or SME network (vs. a purely engineering-only team).- Experience scaling a product organization from a first hire to a multi-PM team, including hiring and developing PM talent who went on to succeed elsewhere.- CFA, FRM, or other financial-services credential, or direct prior operating experience inside a PE firm, insurance carrier, or credit fund.- Track record of operating close to the C-suite (as a direct report to a CEO/President, or representing the entire product function to the board/investors).- Experience with regulated or compliance-sensitive enterprise software, where auditability and controls are first-class product requirements.- Network within institutional finance operations, technology, or the AI-in-financial-services ecosystem.**Base compensation range:**$250,000 - $325,000Plus **Annual Bonus + Equity****About Us:**Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous monitoring, scalable underwriting, and earlier risk detection — without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate — deploying AI workers directly within live workflows to expand decision capacity under institutional controls.