Enterprise Account Executive (US) - Data & AI Optimization

Asobbi Ltd

Austin (TX)

Remote

USD 120,000 - 180,000

Full time

15 hours ago
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Job summary

Asobbi Ltd is seeking an Enterprise Account Executive in the US with expertise in Data & AI optimization and a strong track record selling B2B SaaS solutions. You will own revenue growth across new business and strategic accounts, guiding the commercial side end-to-end and partnering with Sales Engineering, Product, and Customer teams.

You will act as a trusted advisor to senior stakeholders, articulating ROI, cost savings, and long-term value while navigating complex sales cycles and high-ACV

Qualifications

  • Quota-carrying B2B SaaS sales experience.
  • Proven record closing mid-market/enterprise deals.
  • Strong ability to articulate ROI to senior stakeholders.

Responsibilities

  • Own full sales cycle from prospecting to close and expansion.
  • Qualify and develop high-value opportunities within mid-market and enterprise accounts.
  • Lead discovery to understand challenges, success metrics, and buying criteria.
  • Build business cases and ROI narratives with Sales Engineering.
  • Navigate complex multi-stakeholder buying processes.

Skills

SaaS sales
Enterprise deals
Revenue targets
Consultative selling
B2B sales

Job description

Enterprise Account Executive - Data & AI Optimization : Snowflake, BigQuery & Databricks

Office Location: New York City

Work Location: US Remote

Our exciting client is a super-charged VC-backed Data & AI Optimization and Performance vendor. Their Snowflake and Google BigQuery Optimization Platform automatically consolidates queries and right-sizes data warehouses based on actual workload patterns, empowering Data Teams and Finance to extract maximum value from their Snowflake investment without manual intervention. They are rapidly evolving toward an infrastructure-agnostic optimization layer across both proprietary data platforms and open Iceberg-based lakehouse architectures.

They are seeking a high-impact, commercially and technically savvy Enterprise Account Executive based in the US. Ideally, candidates will have previous experience with Snowflake, Databricks or Google BigQuery.

As a Enterprise Account Executive, you will own revenue growth across new business and strategic accounts. You’ll lead the commercial side of the sales cycle end-to-end, from prospecting and discovery through close and expansion, while partnering closely with Sales Engineering, Product, and Customer teams to deliver measurable value to customers.

You will act as a Trusted Business Advisor to senior stakeholders, aligning customer business priorities with the company’s platform and articulating clear ROI, cost savings, and long-term value.

What You’ll Do
  • Own the full sales cycle for new business and strategic accounts, from initial outreach to close and expansion
  • Identify, qualify, and develop high-value opportunities within mid-market and enterprise customers
  • Lead discovery conversations to deeply understand customer business challenges, success metrics, and buying criteria
  • Build compelling business cases and ROI narratives in partnership with Sales Engineering
  • Navigate complex buying processes and multi-stakeholder sales cycles
  • Partner closely with Sales Engineering to deliver value-driven demos, POCs, and technical validation
Experience
  • Proven experience as a quota-carrying Account Executive selling B2B SaaS solutions
  • Experience closing mid-market and/or enterprise deals with complex sales cycles
  • Strong track record of consistently meeting or exceeding revenue targets
  • Ability to lead consultative, value-based sales conversations with senior stakeholders

Experience selling data infrastructure, analytics, cloud, or FinOps-related products:

  • Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks)
  • Experience selling to Finance, FinOps, or Cost Optimization stakeholders
  • Prior experience in high-ACV, multi-year contract negotiations
  • Exposure to consumption-based or usage-driven pricing models
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