Astronomer

3 weeks ago

Enterprise Account Executive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Enterprise Account Executive driving full sales cycles for data-centric SaaS products, targeting engineering/data/platform teams in the Northeastern US. You will hunt new logos, expand existing accounts, demonstrate solutions, and collaborate with marketing, sales engineering, and product to ensure long-term success while staying ahead of industry trends.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Lead the full sales cycle from prospecting to close while partnering closely with clients and teammates.
•Identify, qualify, and pursue opportunities through outbound and inbound channels.
•Deliver demonstrations and craft tailored proposals that align with customer goals.
•Collaborate with marketing, sales engineering, and product to ensure a smooth handoff and long-term success.
•Stay informed on industry trends and competitive offerings to position Astro as the leading solution.

Key Requirements

•5+ years of sales experience, ideally in SaaS, data platforms, or cloud solutions.
•2+ years of field experience with in-person customer engagement.
•Proven success running complex enterprise sales cycles in data infrastructure, developer tooling, or adjacent technical domains selling to engineering, data, or platform teams.
•A history of consistent success in meeting or exceeding new business quotas in high-growth environments.
•Proficiency in CRM tools (Salesforce) and sales enablement platforms.

Experience:5+ yearsSaaSData platformsCloud solutionsEnterprise salesData infrastructure

Skills:CommunicationRelationship buildingNegotiationPresentationStrategic thinking

Tech Stack:SalesforceApache AirflowDataOps

Company Brief

Astronomer

Develops Astro, a unified DataOps platform powered by Apache Airflow to build, run, and monitor data pipelines at scale, helping enterprises operationalize analytics and production AI.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: New York, United States

Founded: 2018

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Astronomer

3 weeks ago

Enterprise Account Executive

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Key Responsibilities

•Lead the full sales cycle from prospecting to close while partnering closely with clients and teammates.
•Identify, qualify, and pursue opportunities through outbound and inbound channels.
•Deliver demonstrations and craft tailored proposals that align with customer goals.
•Collaborate with marketing, sales engineering, and product to ensure a smooth handoff and long-term success.
•Stay informed on industry trends and competitive offerings to position Astro as the leading solution.

Key Requirements

•5+ years of sales experience, ideally in SaaS, data platforms, or cloud solutions.
•2+ years of field experience with in-person customer engagement.
•Proven success running complex enterprise sales cycles in data infrastructure, developer tooling, or adjacent technical domains selling to engineering, data, or platform teams.
•A history of consistent success in meeting or exceeding new business quotas in high-growth environments.
•Proficiency in CRM tools (Salesforce) and sales enablement platforms.

Experience:5+ yearsSaaSData platformsCloud solutionsEnterprise salesData infrastructure

Skills:CommunicationRelationship buildingNegotiationPresentationStrategic thinking

Tech Stack:SalesforceApache AirflowDataOps

Company Brief

Astronomer

Develops Astro, a unified DataOps platform powered by Apache Airflow to build, run, and monitor data pipelines at scale, helping enterprises operationalize analytics and production AI.

Industry: Data Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: New York, United States

Founded: 2018

Glassdoor: 3.9

Website LinkedIn Glassdoor