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
Product Lifecycle Management & Delivery
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
Technical Acumen & Collaboration
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
Stakeholder Engagement & Go-to-Market
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
Requirements
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
Master's degree preferred
Certifications in product management or AI/ML preferred
Working Conditions & Travel Requirements
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
How You'll Be Rewarded
✅ Salary range in the US: $129,000.00 - $261,000.00 ✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Why Join Workiva
Workiva is the platform
Benefits
Vision insurance401(k)Remote work optionsEquity / stock optionsPerformance bonus
Additional Information
Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption.
You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.
Workiva · Remote