Head of Product

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

Job summary

Obin AI is seeking its first Head of Product to own strategy and execution for our AI-driven platform. This builder's role requires partnering with engineering, SME networks, and customers across PE, insurance, and private-credit to translate asset-management expertise into deployable product logic.

You will grow and lead the product organization as Obin scales. You will own the product strategy and roadmap, deeply understand customer workflows, and collaborate with engineering on model

Qualifications

• 10+ years in product management with a track record shipping industry-leading products.
• Direct, hands-on experience writing specs, running discovery calls, and solving edge cases.
• Experience building product orgs and leading PMs in startups or new business lines.
• Experience selling to and partnering with enterprise/institutional buyers.

Responsibilities

• Own product strategy and roadmap for Obin's platform, linking strategy to growth.
• Understand customer workflows and SME input to validate product direction.
• Partner with Engineering on AI/ML trade-offs and data architecture.
• Encode SME judgment into configurations, workflows, and baseline solutions.
• Set build-measure-learn objectives and maintain coherence across the platform.
• Build and lead the product function, hiring and coaching PMs.

Skills

PM leadership

Technical fluency

Enterprise product

Discovery & strategy

Customer facing

Job description

The Role

We'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 - $325,000 Plus Annual Bonus + Equity