FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior AI Product Manager
WorkivaSenior AI Product Manager leading the execution and lifecycle management of AI/ML capabilities within Workiva’s platform. Collaborating with cross-functional teams to deliver high-performance enterprise tools.
Posted 6/5/2026full-timeRemote • Colorado, Montana, New York, South Carolina • 🇺🇸 United StatesSenior💰 $129,000 - $261,000 per yearWebsite
Tech Stack
Tools & technologiesMicroservices
About the role
Key responsibilities & impact- Lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva’s platform
- 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
- Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features
Requirements
What you’ll need- 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
Benefits
Comp & perks- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligenceproduct managementAgile developmentNatural Language ProcessingLarge Language Modelsdata pipelinesdataset curationmodel evaluation metricsmicroservices architectures
Soft Skills
analytical abilitiesproblem-solvingcommunicationcollaborationprioritizationdata-driven decision-makingleadershipstrategic thinkingcustomer focusadaptability
Certifications
product management certificationAI/ML certification