About Job

We are looking for a Senior Product Manager (5+ years of experience) to lead a core vertical and drive our AI-enabled product roadmap at Paper.id.

The ideal candidate will be responsible for leading cross-functional teams and driving the product strategy from idea to launch. They will work closely with stakeholders to understand customer needs and validate product viability before investing in development.

Skills & Qualification

• Experience: 5+ years of PM experience, preferably within the Fintech domain

• AI-Native Workflow: Deep familiarity with using Claude and other Large Language Models (LLMs) to accelerate discovery, spec writing, and prototyping

• Problem-First Mindset: Proven track record of using discovery frameworks to pivot or kill ideas early

• Analytical Rigor: Ability to define success metrics and use data to drive product decisions

• Communication: Exceptional at articulating the "Why" to stakeholders and the "How" to engineers

• Leadership Skills: Proven ability to lead cross-functional teams and drive product strategy from idea to launch

• Product Discovery: Strong understanding of Marty Cagan's "Inspired" principles and ability to conduct deep customer interviews and experiments to identify high-value problems

• Ai Integration: Ability to design and deploy AI-driven features that automate complex financial workflows

Responsibilities

• Continuous Discovery: Conduct deep customer interviews and experiments to identify high-value problems, validating value and viability before investing in development

• Product Strategy: Define the "where to play" and "how to win" for the product vertical, working closely with stakeholders to understand customer needs

• Ai Integration: Design and deploy AI-driven features that automate complex financial workflows, leveraging expertise in Claude and other LLMs

• Cross-Functional Leadership: Partner with engineering and design to build products that are feasible, usable, and viable, driving product strategy from idea to launch

• Communication: Articulate the "Why" to stakeholders and the "How" to engineers, ensuring alignment and buy-in across the organization

• Metrics-Driven Decision Making: Use data to drive product decisions, defining success metrics and analyzing results to inform future product development

• Collaboration: Work closely with cross-functional teams, including engineering, design, and product to deliver products that meet customer needs and drive business success