VP, Product Management

Company Overview: Data is growing exponentially as the world becomes more digitized. Of this, 80% to 90% of the growth is in unstructured data such as log files, video files, audio files, genomics files, MRIs and the like. Komprise unlocks unstructured data for AI while optimizing data placement to reduce storage costs and increase data security. With Komprise Intelligent Data Management , enterprise IT gets global data intelligence, policy-driven data orchestration, fast data mobilization, and governance while data scientists and engineers get AI-ready data that is easy to query, reduces AI token costs while increasing AI accuracy.

Enterprises use Komprise to discover, classify, curate, tier and migrate file and object data across any storage, cloud or AI environment.

Komprise customers include the who’s who of enterprises across financial services, media and entertainment, genomics, manufacturing, and public sector. Komprise has a very strong partner ecosystem. AWS, Azure, IBM, Net App and Everpure resell Komprise.

We are looking for a Vice President of Product Management with superb management and execution skills to drive and lead our product management team. Additionally, they will be developing new features for the AI market, working with Sales and Marketing to roll out Beta and Early Access Programs and help to define and execute on go to market plans. The candidate will report directly to the CEO of Komprise.

The ideal candidate is a hands-on, execution-focused product leader with a track record of building and managing high-performing product teams — ideally including distributed or international teams — as well as delivering enterprise SaaS products erience taking new products to market, including market and product definition, driving pilots and beta programs, helping to develop a go to market plan and launching and growing market is important.

This individual will have strong technical understanding, exceptional customer empathy, and the ability to work across departments — Engineering, Marketing, Sales, and Support — to ensure smooth launches of new features and their ongoing adoption. This person drives a team hard while keeping them motivated and engaged, communicates clearly and confidently, and is polished enough to represent Komprise with customers, partners, and investors, and in weekly executive leadership meetings.

• Work with key executives to help define product strategy, roadmap, and priorities aligned with company goals and market opportunities.
  • Translate customer challenges and business opportunities into clear product strategies, requirements, and priorities.
• Lead Komprise’s AI product strategy — market discovery, sizing, and competitive differentiation; MVP definition; pilots and Beta/Early Access Programs; and pricing, licensing, and delivery model — to open and grow the AI market.
• Identify opportunities for innovation, including emerging technologies and especially evolving customer needs.
• Collaborate closely with Engineering leadership to deliver scalable, reliable, high-quality, supportable and self-repairable products which are intuitive and easy to use.
• Directly manage and develop a distributed team of product managers, UX designers and documentation writers in both the US and in India. Develop each feature with product led sales initiatives in mind to accelerate adoption.
• Drive successful product launches and measure product performance and customer impact.
• Own the product lifecycle end-to-end (“cradle to grave”) and work cross-functionally with Sales, Marketing, Customer Success and Support teams ahead of a launch and equip them with the positioning, training, and assets needed to demo, sell and support the new features..
• Develop a deep understanding of customers, market trends, competitive landscapes, and industry needs.
• Represent the product organization with customers, partners, and industry stakeholders.
• Build, mentor, and scale a high-performing product management organization.
• Establish product management processes, frameworks, metrics, and best practices that improve execution and alignment.
• Establish team objectives, priorities, and performance…