Description: Were hiring a Senior /Lead Product Manager to own strategy and end-to-end delivery for Scienaptics digital credit underwriting products and upstream integrations with Loan Origination Systems (LOS).

Youll define the multi-quarter roadmap, drive cross-functional execution with.

Engineering, Data Science, and GTM, and ship products that materially improve approval rates,.

loss outcomes, and operational efficiency for lenders.

What youll do:

- Set strategy & outcomes: Define vision, north-star metrics, and a multi-quarter roadmap for AI/ML underwriting and LOS integrations; align execs and partner teams.

- Lead discovery: Partner with customers (underwriters, risk analysts, credit ops, compliance) to frame problems, validate hypotheses, and translate insights into clear product requirements and narratives/PRDs.

- Ship platform capabilities: Drive standard product features and reusable components (requirements, functional/technical specs, usability, integration patterns) that scale across consumer and SME lending.

- Own delivery: Run prioritization and sequencing; break strategy into epics/stories; collaborate daily with Engineering and Data Science in a scrum/kanban process to launch high-quality releases.

- Instrument & iterate: Define success metrics and telemetry; design experiments; analyze lift (approvals, losses, time-to-decision) and continuously refine models, policies, and workflows.

- Integrations & ecosystem: Establish and evolve common integration requirements with LOS and data providers; reduce time-to-implement through standards, SDKs, and documentation.

- Market & competitive insight: Track credit risk trends, regulatory developments, and competitor moves; translate insights into roadmap choices.

- Go-to-market partnership: Coordinate launches with Sales, Marketing, and Professional Services; contribute to pricing/packaging, solution playbooks, and enablement.

- Customer experience: Champion a user-centric UX that drives adoption and stickiness.
across stakeholders (underwriters, risk, analytics, and executives).

- Raise the bar: Mentor PMs/associates and improve product rituals, decision quality, and execution velocity.

What youve done (requirements):

- 8+ years of product management (or equivalent), with 3+ years owning a complex B2B platform or data product end-to-end.

- Domain expertise in consumer or SME lending with exposure to digital underwriting and LOS ecosystems.

- Proven record shipping MLor rules-driven decisioning products with measurable business impact (eg., , approval lift, loss reduction, Ops efficiency).

- Strong product discovery toolkit (user research, JTBD, problem framing, experiment design) and exceptional written communication (clear specs, narratives, and stakeholder docs).

- Analytical fluencycomfortable with metrics, dashboards, and basic SQL/BI; able to define instrumentation and experimentation.

- Technical depth to collaborate on APIs, data models, scoring policies, and system trade- offs (no need to code, but you can reason about complexity and risk).

- Experience leading cross-functional teams and resolving complex prioritization across executives, GTM, Delivery/PS, and Engineering.

Nice to have:

- Experience with model governance and regulatory explainability in credit (eg., reason codes, adverse action workflows).

- Background in pricing/packaging and commercial strategy for enterprise SaaS.

- Platform/ecosystem chops (developer docs, SDKs, integration frameworks).

Pro

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Posted By

Debayan Chakraborty

Assistant Vice President Human Resources at Scienaptic AI

Last Active: 22 November 2025

Job Views:
166

Applications: 86

Recruiter Actions: 0

Posted in

IT & Systems