Revefi

Automated data operations and observability platform

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours

Full-timeRemote in USARemote

About the Job

Requirements

Six to eight or more years of experience in Business-to-Business Software as a Service sales.
At least three years of experience selling into data, cloud, or engineering personas.
Proven track record of exceeding quota and closing complex deals.
Strong understanding of the modern data stack, cloud infrastructure, or observability space.
Experience managing technical sales cycles with multiple stakeholders and long sales timelines.
Experience working in early-stage environments and building Go-To-Market motions from the ground up.

Responsibilities

Own and manage the full sales cycle from discovery to close across mid-market and enterprise accounts.
Drive pipeline growth in the United States region through outbound prospecting, inbound leads, and field events.
Educate technical stakeholders, including Data Engineers, Cloud Architects, and Financial Operations teams, on the value of the Artificial Intelligence driven observability and spend optimization platform.
Collaborate with Sales Development Representatives and Marketing to run regional campaigns and Go-To-Market plays.
Develop and execute territory plans and strategic account mapping.
Accurately forecast sales activity and revenue using tools such as Salesforce, Gong, and HubSpot.
Provide customer feedback to product and leadership teams to influence the product roadmap and positioning.

Desired Qualifications

Experience selling to Data Engineers, Cloud/DevOps leaders, or Financial Operations teams.
Familiarity with Generative Artificial Intelligence, data observability, or Artificial Intelligence and Machine Learning driven infrastructure tools.
Background in early- to mid-stage startups (Seed to Series B), with hands-on experience adapting to fast-changing priorities and scaling Go-To-Market functions.

🚀 About Revefi

Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co-founders of ThoughtSpot, a leader in Gartner’s BI magic quadrant, Revefi’s Agentic AI is transforming how modern enterprises manage their data reliability, operations, quality, and cost.

Our flagship AI Agent —Raden for automated data spend optimization and operations —is a cross platform spanning all major cloud data providers. It seamlessly converges dataOps with FinOps to empower enterprises to continuously optimize cloud spend, ensure high data quality, and boost operational performance through GenAI-powered automation and intelligence. Backed by $20M in Series A funding from Icon Ventures, Mayfield Fund, GTM Capital, and StepStone Group, we’re on a mission to build the future of Data Spend Optimization and Cloud Data Operations. Checkout revefi.com for customer impact and Revefi’s own super quick time to value.

🎯 What You’ll Own

As one of our early EnterpriseAccount Executive, you will play a critical role in building our revenue engine. You’ll own the full sales cycle—from pipeline generation to closing—and help shape our go-to-market strategy as we bring a category-defining product to market. You'll work closely with SDRs, marketing, product, and leadership to drive adoption of Revefi among mid-market to enterprise accounts.

💼 Key Responsibilities

Own and manage the full sales cycle from discovery to close across mid-market and enterprise accounts.
Drive pipeline growth in the U.S. region through a mix of outbound prospecting, inbound leads, and field events.
Educate technical stakeholders (Data Engineers, Cloud Architects, FinOps teams) on the value of Revefi’s AI-driven observability and spend optimization platform.
Collaborate with SDRs and Marketing to run regional campaigns and GTM plays.
Develop and execute territory plans and strategic account mapping.
Accurately forecast sales activity and revenue using tools like Salesforce, Gong, and HubSpot.
Provide customer feedback to product and leadership to influence roadmap and positioning.

✅ What We’re Looking For

6–8+ years of experience in B2B SaaS sales, ideally with at least 3+ years selling into data, cloud, or engineering personas.
Proven track record of exceeding quota and closing complex deals.
Strong understanding of the modern data stack, cloud infrastructure, or observability space.
Confident in managing technical sales cycles with multiple stakeholders and long sales timelines.
Excellent written, verbal, and interpersonal communication skills.
Self-starter with experience in early-stage environments—you’re comfortable with ambiguity and excited to help build a GTM motion from the ground up.

🌟 Nice-to-Have

Experience selling to Data Engineers, Cloud/DevOps leaders, or FinOps teams.
Familiarity with GenAI, data observability, or AI/ML-driven infrastructure tools.
Background in early- to mid-stage startups (Seed to Series B), with hands-on experience adapting to fast-changing priorities and scaling GTM functions.

🎁 What We Offer

Competitive salary, uncapped commission, and equity.
A chance to join a high-caliber team.
Fast growing startup backed by top-tier investors.
The opportunity to directly impact how AI transforms enterprise data operations.

👊 Join Us

At Revefi, we believe in empowering every team—Sales included—with autonomy, accountability, and the tools to build something extraordinary. If you're excited to bring a game-changing product to market and thrive in early-stage environments, let’s talk.

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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