Enterprise Account Executive - Data & AI Optimization

Asobbi Ltd; Austin (TX); Hybrid; USD 120,000 - 200,000; Full time

Job summary

Asobbi Ltd seeks an Enterprise Account Executive to own revenue growth for new business and strategic accounts in Data & AI optimization. You will lead the commercial side of the sales cycle end-to-end, from prospecting through close, coordinating with Sales Engineering, Product, and Customer teams to deliver measurable value to customers.

The role requires a track record of closing mid-market or enterprise deals in B2B SaaS, strong ROI storytelling, and familiarity with Snowflake,

Qualifications

• Proven quota-carrying AE for B2B SaaS solutions.
• Experience closing mid-market/enterprise deals.
• Familiarity with Snowflake, BigQuery, or similar data platforms.

Responsibilities

• Own the full sales cycle for new business and strategic accounts from prospecting to close.
• Qualify and develop high-value opportunities in mid-market/enterprise customers.
• Lead discovery to understand business challenges, success metrics, and buying criteria.
• Build business cases and ROI narratives with Sales Engineering.
• Navigate multi-stakeholder buying processes and complex deals.
• Collaborate with Sales Engineering to deliver value-driven demos and POCs.

Skills

Account Executive

Enterprise deals

Consultative selling

ROI storytelling

Job description

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

Office Location: Austin, Texas

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 to data, engineering, analytics, finance, or platform teams
• 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