Senior AI Product Manager

🕒 vor 6 Tagen

⛰️ Colorado, Montana, +2 weitere Bundesländer – Remote

⛰️ Colorado – Remote 🦬 Montana – Remote 🗽 New York – Remote 🌴 South Carolina – Remote

💵 $129.000 - $261.000 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Workiva

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2008

☁️ SaaS

💸 Finanzen

📋 Compliance

SaaS • Finance • Compliance

Workiva ist eine cloudbasierte, KI-gestützte Plattform, die Finanzberichterstattung, Risiko- und Compliance-Management sowie Nachhaltigkeitsberichterstattung vereint. Sie ermöglicht es Teams, Daten über Systeme hinweg zu verknüpfen, in Echtzeit zusammenzuarbeiten, Berichte zu automatisieren (einschließlich XBRL-Tagging) und die Prüfbarkeit und Nachvollziehbarkeit für regulierte Offenlegungen und Prüfprozesse aufrechtzuerhalten. Workiva bedient große Unternehmen sowie Finanz-, Rechts-, Prüfungs- und Nachhaltigkeitsteams, um die Berichterstattung zu beschleunigen, die Genauigkeit zu verbessern und Risiken zu reduzieren.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match and comprehensive employee benefits package