Senior AI Product Manager

- Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities

- Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation

- Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes

- Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization

- Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals

- Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences

- Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features

- Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures

- Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions

- Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure

- Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

- Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process

- Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders

- 6+ years of product management experience in software development or related field

- Proven track record of successfully shipping products that have achieved market adoption and business impact

- Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment

- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

- 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment

- Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows

- Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)

- Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery

- Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders

- Strong analytical and problem-solving abilities, with a data-driven approach to decision-making

- Ability to thrive in a fast-paced environment and manage multiple priorities effectively

- Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations

- Reliable internet connection required during remote work periods

✅ Salary range in the US: $129,000.00 - $261,000.00 ✅ A discretionary bonus typically paid annually

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