Enterprise Account Executive

Espresso AI

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profile Job Location:

Brooklyn, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

About Espresso AI

Espresso AIs mission is to use machine learning to automate performance engineering. Today we help our customers reduce Snowflake and Databricks SQL compute costs by up to 70% unlocking massive efficiency gains without requiring any workflow changes.


More and more businesses are adopting data warehouses to manage invaluable data analytics workloads. Unfortunately the costs of these workloads often grow exponentially over time with no easy way for users to reduce cost until now. Our next-generation AI-based approach saves our users huge amounts of money.

Were a well-funded early-stage startup scaling quickly. Our most recent round was led by Nat Friedman and Daniel Gross.

About the Role

As an Enterprise Account Executive you will own the full sales cycle for Espressos Snowflake and Databricks cost-optimization platform selling into large technically sophisticated enterprises. You will lead complex competitive sales processes with senior data finance procurement and legal buyers closing six-and seven-figure deals with clear technical and financial outcomes.

You will work closely with the founding team to refine and scale our enterprise sales motion while independently driving discovery evaluation procurement and close. This is a hands-on role with full ownership of revenue outcomes in a high demand market.

What Youll Work On

  • Own enterprise sales cycles end-to-end from initial engagement through close selling to technical and economic buyers

  • Build and maintain pipeline through self-sourced outbound account-based efforts events and referrals. Marketing and SDR pipeline is a bonus

  • Partner with the Founder and Head of Sales to evolve the enterprise sales motion based on live deal execution

  • Operate with a metrics-driven mindsettracking pipeline coverage stage conversion forecast accuracy and quota attainment

What You Bring

  • 3 years of enterprise SaaS sales experience closing $100K ACV deals with technical and economic buyers

  • Consistent record of meeting or exceeding quota in competitive technical sales cycles.

  • Strong self-sourcing capability: ability to build and sustain pipeline through outbound account-based work events and referral channels

  • Ability to run discovery demo and close independently with deep product understanding

  • Comfort operating as an early enterprise AE owning pipeline creation deal execution and forecast accuracy end-to-end

  • Resilience and discipline to operate in high-rejection high-accountability environments

Nice to Haves

  • Experience selling data cloud or infrastructure software (e.g. Snowflake Databricks analytics or cost optimization tools)

  • Experience in early-stage or founder-led sales environments where process is evolving and ownership is high

  • Strong analytical ability: comfortable inspecting charts usage data and pipeline metrics to diagnose deal health and improve outcomes

What We Offer

  • Competitive salary and meaningful equitybased on final leveling

    • $300000 OTE with a 50/50 split

  • Employee-friendly equity terms (early exercise)

  • Health dental and vision insurance

  • 401k with 4% match

  • Daily catered meals

  • Gym membership


Required Experience:

IC

About Espresso AIEspresso AIs mission is to use machine learning to automate performance engineering. Today we help our customers reduce Snowflake and Databricks SQL compute costs by up to 70% unlocking massive efficiency gains without requiring any workflow changes.More and more businesses are adop...
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Key Skills

  • SAAS
  • Customer Service
  • Cloud
  • Healthcare
  • Account Management
  • CRM
  • Salesforce
  • Infrastructure
  • Client Relationships
  • New Customers
  • Territory
  • Trade shows
  • Sales Goals
  • Sales Process
  • Analytics

About Company

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Cut your Snowflake pricing in half with AI. Espresso AI uses machine learning to optimize your data warehouses in real-time.

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