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Revefi

Automated data operations and observability platform

Founding Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • 4-7+ years of Product Management experience with cloud-native, data, or infrastructure products.
  • Hands-on experience building products in domains like data platforms, observability, data engineering, or cloud operations.
  • An ownership mindset — you thrive in taking early products and scaling them with speed, structure, and customer obsession.
  • 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.

Responsibilities

  • Own product discovery, roadmap, and execution for core features in collaboration with engineering, design, and GTM teams.
  • Work directly with customers and internal stakeholders to deeply understand user pain points and convert them into elegant 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, high-speed environment.
  • Contribute to our company-wide strategy as a key member of the leadership team, influencing hiring, culture, and product philosophy.

Desired Qualifications

  • Experience in early-stage startups or founder’s office roles.
  • Background in Computer Science, Engineering, or a related technical field.
  • Familiarity with GenAI and its applications in enterprise software.
  • Prior exposure to PLG-driven SaaS products.
  • Deep knowledge of databases, data warehousing and related customer personas.

About the Company

Revefi

Automated data operations and observability platform

Revefi provides a data operations and observability platform for cloud enterprises, helping organizations manage data quality, spending, performance, and usage with minimal manual effort. It integrates with Snowflake, BigQuery, and Redshift and connects to BI tools like Tableau and ThoughtSpot, as well as Slack and Teams for workflow collaboration. The platform offers a zero-touch onboarding and real-time dashboards with automated recommendations to optimize costs and performance, focusing on end-to-end data lifecycle management. The goal is to help enterprises access the right data at the right time and cost, while reducing cloud data spend and improving data quality.

Company size
11-50
Company stage
Series A
Total funding
$30.5M
Headquarters
Redmond, WA
Founded
2021

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