Senior Product Manager - Document & Workflow Automation
Indexed description
You will collaborate closely with engineering, the AI product lead, and other cross-functional stakeholders. You will act as a key executor and translator between strategic priorities and technical execution. This role is perfect for a product manager who thrives in ambiguity, has strong technical acumen, and enjoys delivering user-centric, scalable solutions.
Key Responsibilities
- Own feature development end-to-end: from discovery and problem framing through scoping, delivery, and iteration.
- Translate strategic product themes and roadmap priorities into actionable user stories and detailed requirements.
- Collaborate closely with the AI product lead and engineering teams to deliver technically complex capabilities.
- Conduct product discovery with internal and external stakeholders to validate pain points and potential solutions.
- Prioritize work based on strategic value, user impact, technical feasibility, and business outcomes.
- Lead backlog grooming, sprint planning, and retrospectives.
- Partner with UX and design teams to ensure solutions are intuitive, scalable, and user-friendly.
- Track success metrics and inform product decisions through data and user feedback.
- Work cross-functionally with product marketing and sales enablement to support go-to-market planning.
- Utilizes AI-enabled tools (e.g., chatbots, document automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards.
- Skills in prompting AI systems and assessing output quality
- Ability to leverage AI to ideate, develop, and scale to the needs of their department
- 10+ years of product management experience in B2B SaaS, ideally with platform or automation technologies.
- Strong technical fluency – can collaborate confidently with AI/ML teams and engineering.
- Proven ability to own features end-to-end in a complex product ecosystem.
- Skilled in writing user stories, managing backlogs, and scoping MVPs.
- Excellent communication skills (written and verbal) and stakeholder management experience.
- Self-starter who thrives in high-autonomy, ambiguous environments.
- Highly organized, and proactive in identifying and solving problems.
- Experience in intelligent document processing, workflow automation, and/or knowledge management
- Deep knowledge of natural language processing, machine learning and generative AI
- Exposure to matrixed organizations
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