Product Manager

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, NetApp and Everpure resell Komprise.

Job Summary

Komprise is hiring a full-time product manager in India to help craft the future of our unstructured data management platform. As part of the product management team, you will have a significant voice in the future of Komprise platform suite. Working together with UX, Engineering and fellow product managers, you will have a tangible impact in solving storage problems for our customers and driving the use of AI on unstructured data.

We are looking for an excellent communicator and fast thinker who thrives in rapidly changing environments and is ready to drive and own entire projects from discovery to delivery. As our product and engineering team spans the Bay Area and Bangalore, you must be comfortable navigating a global, cross-time-zone environment.

Key Responsibilities

• Product Strategy: Drive the product vision, roadmap, and execution for new and existing features, starting from ideation to final release and adoption.
• Stakeholder Alignment: Align with stakeholders across Product, Engineering, Sales, Support, and CX to translate customer challenges into solutions and new features and provide requirements and technical specifications.
• Roadmap Execution: Partner with UX, Engineering, QA, and Documentation to drive features and enhancements, validate deliveries, and support technical collateral creation to deliver a high-quality release.
• GTM Enablement: Communicate product direction and priorities across customer-facing teams. Collaborate with Marketing, Sales, CX, and Support to create training materials, conduct enablement sessions, and support the go-to-market function.
• Customer adoption and feedback: Track product adoption and usage, and partner with CX to triage and prioritize issues.

Requirements

• Education: BS or MS in computer science, electrical engineering or similar field, or prior experience as a Software Engineer or Designer.
• Experience: 2-5 years of experience working as a Product Manager with a track record of shipping features from discovery through launch, with measurable results you can point to.
• Strong technical aptitude: Comfortable discussing architecture, APIs, and system tradeoffs with engineers.
• Analytics capacbility: Ability to analyze and use data to make informed decisions.
• User-centric attitude: Deep understanding and empathy for users
• Communication: Excellent written and oral communication skills
• Cross-functional: Demonstrated ability to work cross-functionally in a highly collaborative environment
• AI expertise: Experience leveraging AI tools to assist with research and accelerated execution

Ideal

• Background in data storage, data management, infrastructure, or cloud
• Familiarity with file and object storage concepts such as NFS, SMB, and CIFS
• Exposure to data pipelines, metadata enrichment, and AI and machine learning data preparation
• Passionate and curious, and a penchant for taking risks and thinking out of the box

How to Apply: Email your resume highlighting your relevant experience to india_careers@komprise.com.