P

Pump

AI-driven AWS cloud cost optimization

GTM Engineer

Sales OperationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • 2–6 years of experience in GTM engineering, growth engineering, revenue operations, or a technical sales or marketing operations role.
  • Hands-on experience with Clay, HubSpot or Salesforce, and at least one sequencing tool.
  • Ability to write code in Python or JavaScript and work with APIs and SQL.
  • Availability to work five days per week onsite in the San Francisco office.

Responsibilities

  • Design and build automated outbound and enrichment workflows using tools such as Clay, Apollo, and HubSpot.
  • Build lead scoring, routing, and intent-signal pipelines so account executives and business development representatives work the right accounts at the right time.
  • Write scripts and lightweight integrations using Python, JavaScript, APIs, and webhooks to connect the customer relationship management system, data providers, and product data.
  • Use large language models and artificial intelligence agents to scale research, personalization, and list building.
  • Partner with sales and marketing leadership to run experiments, measure results, and expand effective approaches.
  • Own go-to-market data hygiene and reporting across the funnel.

Desired Qualifications

  • Experience at a high-growth business-to-business software-as-a-service company selling to technical buyers.
  • Familiarity with cloud infrastructure or FinOps concepts.

About the Company

Pump

AI-driven AWS cloud cost optimization

Pump automates cloud cost savings for AWS by using artificial intelligence to identify and apply optimal optimization strategies without any engineering input from customers. By analyzing usage and automatically applying savings plans, it serves businesses spending roughly $1,000 to $200,000 per month on AWS. Its group billing model pools savings across a growing base and it charges a fee based on the savings achieved. Its goal is to democratize FinOps and make meaningful, hassle-free AWS cost reductions accessible for companies of all sizes.

Company size
51-200
Company stage
Seed
Total funding
$4.1M
Headquarters
San Francisco, CA
Founded
2022

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