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 (e.

, 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 fluency comfortable 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 (e.g , reason codes, adverse action workflows).

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

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