The Role
Lead technical product vision, strategy, and execution for an enterprise Agentic AI platform. Manage and mentor product managers, collaborate with engineering and data science on architecture, scalability, security, and AI lifecycle (ingestion, model development, deployment, monitoring). Translate complex enterprise needs into technical requirements, oversee multi-workstream delivery, engage with executives and customers, and evaluate emerging technologies to evolve the platform.
Summary Generated by Built In
Be at the Forefront of the Agentic AI Revolution
At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.
Why Skan AI
We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.
Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.
Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.
Role Overview
The Director of Technical Product Management will own the technical product vision, strategy, and execution for Skan’s Agentic AI platform. This role is intended for a deeply technical product leader who operates comfortably at the intersection of enterprise-scale systems, AI/ML platforms, and complex data workflows. You will lead a team of Product Managers while remaining hands-on with architecture-level decisions and technical trade-offs.
Key Responsibilities
- Define and own the technical product vision, strategy, and multi-year roadmap for the Agentic AI platform.
- Lead, mentor, and scale a team of Product Managers focused on platform, AI/ML, and data-centric capabilities.
- Partner closely with engineering and data science leadership on architecture, scalability, reliability, and security.
- Translate complex enterprise problems into detailed technical product requirements and measurable outcomes.
- Guide decisions across the AI lifecycle including data ingestion, model development, deployment, and monitoring.
- Oversee delivery across multiple product workstreams, ensuring technical quality and enterprise readiness.
- Act as the technical product voice in executive, customer, and partner discussions.
- Evaluate emerging technologies and industry trends to inform platform evolution.
Qualifications & Experience
- 14+ years of professional experience, including 10+ years in product management roles within enterprise software or SaaS environments.
- Proven experience owning highly technical platforms such as AI/ML, data, automation, or infrastructure products.
- Strong technical fluency across system architecture, APIs, data pipelines, cloud platforms, and AI/ML workflows.
- Demonstrated ability to work deeply with engineering teams and influence architectural decisions.
- Experience leading and mentoring Product Managers in technical product organizations.
- Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences.
- Experience working with enterprise customers in regulated industries is a strong plus.
Education
Bachelor’s degree in Computer Science, Engineering, or a related technical field required. An MBA or advanced technical degree is a plus.
What Success Looks Like in the First 12 Months
- Defined and executed a scalable technical vision for the Agentic AI platform.
- Delivered enterprise-grade AI and platform capabilities with measurable impact.
- Built a high-performing, technically credible product management team.
- Improved platform scalability, reliability, and AI lifecycle maturity.
- Strengthened Skan’s market leadership in Agentic AI and process intelligence.
Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.
We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.
Skills Required
- 14+ years of professional experience, including 10+ years in product management within enterprise software or SaaS
- Proven experience owning highly technical platforms such as AI/ML, data, automation, or infrastructure products
- Strong technical fluency across system architecture, APIs, data pipelines, cloud platforms, and AI/ML workflows
- Demonstrated ability to work deeply with engineering teams and influence architectural decisions
- Experience leading and mentoring Product Managers in technical product organizations
- Excellent communication skills with ability to simplify complex technical concepts for diverse audiences
- Experience working with enterprise customers in regulated industries
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- MBA or advanced technical degree
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The Company
What We Do
Skan AI is an enterprise AI company that provides a process intelligence and automation platform. By observing how work actually happens, Skan creates a 'Context Graph of Work' and digital twins of operations. This allows Fortune 500 companies to understand the telemetry of their digital operations, enabling confident automation and lasting transformation through AI agents trained on operational reality.
