# Founding Product Mananger

**Company:** [Revefi](https://hotfix.jobs/companies/revefi)
**Location:** Bengaluru, India
**Role:** Product Management
**Experience:** 4+ years
**Skills:** Product Management, Product Discovery, Product Roadmapping, Cloud-Native Products, Data Platforms, Observability, Data Engineering, Cloud Operations, Generative AI, Databases, Data Warehousing, SaaS, Product-Led Growth
**Posted:** 2023-12-12

> The founding Product Manager will define the roadmap, discover customer needs, and drive execution for data spend optimization products spanning DataOps, FinOps, and generative AI. The role requires 4–7+ years of product management experience with cloud, data, or infrastructure products and strong technical communication skills.

## Job Description

## Responsibilities
- Own product discovery, roadmap, and execution for core features in collaboration with engineering, design, and go-to-market teams.
- Work directly with customers and internal stakeholders to understand user pain points and translate them into product solutions.
- Partner with founders to translate vision into product bets, iterate quickly, and move fast.
- Drive clarity on product priorities, trade-offs, and success metrics in an early-stage environment.
- Contribute to company-wide strategy as a leadership team member, influencing hiring, culture, and product philosophy.

## Requirements
- 4–7+ years of Product Management experience with cloud-native, data, or infrastructure products.
- Hands-on experience building products in data platforms, observability, data engineering, or cloud operations.
- Ownership mindset, with the ability to take early products and scale them with speed, structure, and customer focus.
- Strong technical understanding and ability to engage deeply with engineers.
- Experience working closely with users and rapidly iterating based on feedback.
- Excellent communication, collaboration, and storytelling skills.

## Nice-to-Haves
- Experience in early-stage startups or founder’s office roles.
- Background in Computer Science, Engineering, or a related technical field.
- Familiarity with generative AI and its applications in enterprise software.
- Prior exposure to product-led growth SaaS products.
- Deep knowledge of databases, data warehousing, and related customer personas.

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