
1001 - 5000 employees
Founded 2008
☁️ SaaS
💸 Finance
📋 Compliance
SaaS • Finance • Compliance
Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.
🕒 June 5
⛰️ Colorado, Montana, +2 more states – Remote
💵 $129k - $261k / year
⏰ Full Time
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2008
☁️ SaaS
💸 Finance
📋 Compliance
SaaS • Finance • Compliance
Workiva is a cloud-based, AI-powered platform that unifies financial reporting, risk and compliance management, and sustainability reporting. It enables teams to connect data across systems, collaborate in real time, automate reporting (including XBRL tagging), and maintain auditability and traceability for regulated disclosures and assurance processes. Workiva serves large enterprises and finance, legal, audit, and sustainability teams to accelerate reporting, improve accuracy, and reduce risk.
• 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
• 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
• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package
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