Enterprise Account Executive

Posted 2 Days Ago
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Stockholm, SWE
Hybrid
Senior level
Big Data • Software • Analytics • Automation
The Role
Own the full enterprise sales cycle from prospecting to close; build and manage pipeline and account plans; engage C-level stakeholders; run demos and proof-of-value with Sales Engineering; maintain CRM and forecasting; represent the company at industry events.
Summary Generated by Built In

Validio is the agentic data management platform that automates data quality, lineage, and cataloging — so enterprises can finally trust the data behind their analytics, AI, and reporting. As an Enterprise Account Executive, you'll bring that promise to the enterprises that need it most, owning the full cycle from first outreach to closed deal.

You'll build and run your own pipeline across the enterprise segment, partner with Sales Engineering to prove value, and win over the data and business leaders who decide whether their organization can trust its data.

What you'll do

  • Own the full sales cycle — from prospecting and qualification to negotiation and close — across a defined enterprise territory

  • Build and manage your own pipeline, and develop account plans for the enterprises you target

  • Engage senior stakeholders, up to C-level (CDO, CIO), on the business impact of trusted data

  • Partner with Sales Engineering to run proof-of-value engagements and tailored demos

  • Navigate complex, multi-stakeholder buying processes with a value-based approach

  • Keep an accurate forecast and clean pipeline hygiene in the CRM

  • Represent Validio at industry events


What you'll bring

  • 5+ years closing complex B2B SaaS or data/AI deals, with a consistent record of exceeding quota

  • Experience owning full-cycle enterprise sales into large organizations

  • Command of value-based selling across multiple stakeholders and long cycles

  • A hunter's instinct for generating pipeline, paired with executive-level communication

  • Fluency with a structured sales methodology like MEDDPICC, and the discipline to qualify and forecast rigorously


Bonus points for

  • Background in data infrastructure, cloud, or data observability

  • Familiarity with the modern data stack (e.g. Snowflake, Databricks, AWS, GCP)

  • International or multilingual sales experience


Why Validio
Founded in Sweden in 2019, we're trusted by data-driven enterprises like Nordea, Canva, and Truecaller. Data quality is becoming the foundation everything else — analytics, AI, agents — is built on, and we're defining that category. You'll sell it as it's being created, with the room to shape how we win.

Come as you are. We hire for what you'll build with us, and we welcome applicants of every background.

Skills Required

  • 5+ years closing complex B2B SaaS or data/AI deals, with a consistent record of exceeding quota
  • Experience owning full-cycle enterprise sales into large organizations
  • Command of value-based selling across multiple stakeholders and long cycles
  • A hunter's instinct for generating pipeline and executive-level communication skills
  • Fluency with a structured sales methodology like MEDDPICC and discipline to qualify and forecast rigorously
  • Experience engaging senior stakeholders up to C-level (CDO, CIO)
  • Experience maintaining CRM hygiene and providing accurate sales forecasts
  • Background in data infrastructure, cloud, or data observability
  • Familiarity with the modern data stack (e.g. Snowflake, Databricks, AWS, GCP)
  • International or multilingual sales experience
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The Company
38 Employees
Year Founded: 2019

What We Do

Validio is an agentic data management platform that automates data observability, quality monitoring, lineage tracking, and cataloging. Its software helps enterprises identify anomalies, investigate data issues, understand data origins and transformations, and manage data ownership across their organizations. The platform supports batch and real-time streaming data, enabling data and AI-driven companies to build greater trust in analytics, reporting, and AI workloads.

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