Senior Product Manager

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