
Skan's AI-powered Process Intelligence drives innovation, cost savings, customer experience, automation effectiveness, and productivity, leading to tangible and scalable transformation.

Skan's AI-powered Process Intelligence drives innovation, cost savings, customer experience, automation effectiveness, and productivity, leading to tangible and scalable transformation.
Founded: September 2018
Headquarters area: Menlo Park / San Jose area
Product: AI-powered Process Intelligence / Enterprise Work Graph
Recent round (announced): Series B (March 2022), $40M (company announcement)
Founders / leadership: Avinash Misra (Co-founder & CEO), Manish Garg (Co-founder & COO/CPO)
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Process intelligence, process discovery, automation governance, and enterprise work context
2018
Software Development
Series A: $14M (company announcement)
Participation from Citi Ventures, Zetta Ventures, Bloomberg Beta, Firebolt Ventures, and Plug and Play (company announcement).
$40M (company announcement)
Participation from GSR Ventures, Liberty Global Ventures, Cathay Innovation, Zetta Venture Partners, Citi Ventures, and Firebolt Ventures (company announcement).
“Raised venture funding including Series A and Series B led by established strategic/backing investors (e.g., Cathay Innovation, Dell Technologies Capital)”
Skan is pioneering the future of Agentic AI by building platforms that reimagine how enterprises work. By combining AI agents, intelligent automation, and deep process intelligence, Skan enables Fortune 500 companies across insurance, financial services, and other regulated industries to operate with greater efficiency, accuracy, and speed at scale.
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
Qualifications & Experience
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
The compensation range for this full-time position is 250K-300K + Bonus. In addition to a salary, this role is also eligible for benefits and equity.