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Jaroměř, Česko
Remote only
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Product Manager – AI Products based in the United States.
The Senior Product Manager will lead the strategy, development, and delivery of AI-powered automation capabilities within an enterprise SaaS platform serving the financial services industry. This role combines product leadership, applied artificial intelligence, and deep customer understanding to transform complex lending workflows into intelligent, scalable experiences. The successful candidate will take AI initiatives from concept through production, ensuring solutions deliver measurable improvements in efficiency, accuracy, and customer value. Working closely with Engineering, Data Science, Design, Compliance, and executive stakeholders, they will shape the product roadmap and drive cross-functional execution. The role also requires strong customer engagement, continuous performance monitoring, and a commitment to responsible AI practices. This is an opportunity to influence the evolution of AI in financial technology within a collaborative, remote-first environment.
Own the end-to-end product strategy and roadmap for AI-powered automation capabilities across the platform.
Define measurable product outcomes, including operational efficiency, error reduction, decision accuracy, and customer value, and ensure roadmap initiatives deliver against these objectives.
Partner with executive leadership to align AI product initiatives with the broader company vision, strategic priorities, and revenue goals.
Develop business cases that demonstrate the value of research and development investments and identify potential revenue opportunities.
Identify high-impact automation opportunities throughout loan origination and account opening workflows.
Monitor AI and machine learning developments to identify emerging technologies and opportunities for product innovation.
Conduct in-depth discovery with lending operations teams, compliance professionals, technology buyers, and other stakeholders to identify customer challenges and unmet needs.
Translate qualitative research, product usage data, and competitive intelligence into actionable product opportunities.
Establish and maintain feedback loops with design partners and early-access customers throughout product development.
Lead cross-functional execution with Engineering, Data Science, and Design teams using agile methodologies and emerging AI-assisted development practices.
Translate business requirements into clear product epics, user stories, acceptance criteria, and supporting documentation.
Lead rapid prototyping and early validation activities to accelerate development and reduce time to market.
Balance business objectives with regulatory compliance, security, scalability, and technical feasibility.
Collaborate with Data Scientists and Machine Learning Engineers to scope model development, define performance metrics, and establish human-in-the-loop review processes.
Coordinate with Legal, Compliance, and Information Security teams to ensure AI products meet relevant regulatory requirements, including FCRA, ECOA, fair lending standards, model risk management, and emerging AI regulations in financial technology.
Own product launch readiness, including go-to-market coordination, documentation, training, and customer communications.
Define and monitor post-launch KPIs, including automation rates, exception volumes, model drift indicators, and overall business impact.
Establish feedback mechanisms to identify edge cases and model errors, translating findings into continuous product improvements.
Communicate product performance, progress, and opportunities transparently to leadership and key stakeholders.
Work with Sales and Marketing to monitor pipeline development and revenue opportunities, adjusting product strategy when adoption or performance falls below expectations.
5+ years of product management experience, with a proven track record of delivering enterprise AI/ML products in a B2B SaaS environment.
Demonstrated experience taking AI-powered features from concept to production, including model integration, data contracts, and post-launch monitoring.
Strong understanding of digital product development, particularly conversational AI, generative AI, automation, and data-driven platforms.
Familiarity with AI/ML concepts, large language models (LLMs), Model Context Protocol (MCP), generative AI platforms, and API integrations.
Knowledge of responsible AI principles, model interpretability, bias mitigation, and quality and accuracy metrics for production-grade AI systems.
Experience partnering with Data Science and Engineering teams to define training data requirements, evaluate model performance, and establish iterative feedback loops.
Experience conducting customer research, user discovery, and usability testing, with the ability to translate insights into product strategy.
Proficiency in AI-driven prototyping methods and an understanding of emerging AI-assisted software development practices.
Strong knowledge of agile methodologies, product management processes, and delivery artifacts.
Bachelor's degree required; an MBA is preferred. A computer science background, through formal education or demonstrated technical proficiency, is an advantage.
Experience in consumer lending or mortgage software is a strong plus.
Excellent organizational and multitasking abilities, with the capacity to manage multiple projects and priorities in a fast-paced environment.
Strong analytical thinking, problem-solving, and decision-making skills.
Effective storytelling, presentation, and stakeholder communication abilities.
Excellent collaboration skills, including the ability to provide and receive constructive feedback across teams.
Awareness of industry trends, emerging technologies, and best practices in AI product design and development.
Annual base salary range of $138,667–$197,000 USD, with additional bonus opportunities.
Compensation determined by experience, qualifications, job-related factors, and geographic location; offers are not typically made at the top of the salary range.
Medical, dental, vision, life, and disability insurance coverage.
Flexible paid time off.
Paid holidays.
401(k) retirement plan with company match.
Fully remote work arrangement.
