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DigitalOcean

Runs cloud infrastructure for apps and AI

Senior GTM Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USARemote

About the Job

Requirements

  • At least 5 years administering and building on go-to-market or business systems, including substantial Salesforce experience with flows, data models, permissions, and deployments, plus hands-on experience in at least two other go-to-market tool categories.
  • A record of owning end-to-end projects such as implementations, integrations, or process automations that shipped and remained reliable in production.
  • Experience building and debugging integrations using iPaaS tools and/or APIs, with understanding of authentication, rate limits, synchronization direction, and failure modes.
  • Hands-on experience or demonstrated interest applying artificial intelligence to systems work, including agents, large language model-powered automation, or Model Context Protocol-style integrations.
  • Comfort with SQL and data warehouse concepts, and ability to trace data quality issues from source to destination.
  • Ability to identify root causes, resolve underlying problem classes, and document fixes.
  • Ability to turn vague requests into scoped work, communicate progress and tradeoffs, and push back constructively.
  • Familiarity with Apex, Python, or JavaScript sufficient to read, understand, and review code.

Responsibilities

  • Deliver go-to-market stack project work, including new tool implementations, integration builds, automation of routing, handoff, and lifecycle processes, and cross-tool enhancements; own work from design through testing, rollout, and enablement.
  • Handle tier 2 escalations involving flow errors, integration failures, data model questions, and cross-system issues; trace problems to root cause and deliver durable fixes.
  • Build and maintain integrations and data flows using iPaaS tooling and APIs, keeping account ownership, territories, routing, and product catalogs consistent across Snowflake, Salesforce, and downstream tools.
  • Build AI-powered workflows, including AI agents and large language model-based automation; work with Model Context Protocol integrations and identify further opportunities to reduce manual work.
  • Perform Salesforce work including complex flows, data model changes, permission architecture updates, sandbox management, and release management, as well as comparable work in Outreach, Planhat, DealHub, and Clay as projects require.
  • Contribute to solution design with the Technical Program Manager and senior engineers; identify tradeoffs and downstream impacts, and assess proposed approaches against actual system behavior.
  • Coordinate with vendors on implementations, support cases, and proofs of concept, and evaluate new tools hands-on.
  • Document builds, establish reusable patterns, and mentor the IC2 engineer on troubleshooting and configuration.

Desired Qualifications

  • Salesforce certifications such as Advanced Administrator or Platform App Builder.

About the Company

DigitalOcean

Runs cloud infrastructure for apps and AI

DigitalOcean provides cloud infrastructure for developers and businesses to build, host and scale applications and AI services. Teams rent virtual machines called Droplets, store data and run managed databases or Kubernetes clusters through a web console and APIs. Its AI services supply GPU computing, model inference and managed environments where software agents use tools and retain information between sessions. Customers pay for the resources they use, with subscriptions and managed services helping teams run applications without maintaining all the underlying infrastructure themselves. DigitalOcean was founded in 2012 and is headquartered in Broomfield, Colorado.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Broomfield, CO
Founded
2012

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