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DigitalOcean

Runs cloud infrastructure for apps and AI

Senior GTM Engineer

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least five years administering and building on go-to-market or business systems, with substantial depth in Salesforce (flows, data model, permissions, and deployments) and hands-on experience in at least two other go-to-market tool categories, such as sales engagement, customer success platforms, configure-price-quote, enrichment, or marketing automation.
  • A record of owning end-to-end projects, such as implementations, integrations, or process automations, that shipped and operated reliably in production.
  • Experience building and debugging integrations with integration-platform-as-a-service tools and/or application programming interfaces, and understanding authentication, rate limits, synchronization direction, and failure modes.
  • Hands-on experience or demonstrated interest applying artificial intelligence to systems work, such as agents, large-language-model-powered automation, or Model Context Protocol-style integrations.
  • Fluency with data, including comfort with SQL and data warehouse concepts, and the ability to trace data-quality issues from source to destination.
  • Ability to diagnose root causes and document fixes to prevent recurring issues.
  • Ability to translate vague requests into scoped work, communicate progress and tradeoffs clearly, and push back constructively with stakeholders.
  • Familiarity with Apex, Python, or JavaScript sufficient to read, understand, and review code; heavy development is not required.

Responsibilities

  • Deliver projects across the go-to-market stack, 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 that frontline triage cannot resolve; trace issues to root cause and deliver durable fixes.
  • Build and maintain integrations and data flows using integration-platform-as-a-service tools such as Fivetran and application programming interfaces, keeping account ownership, territories, routing, and product catalogs consistent between Snowflake, Salesforce, and downstream tools.
  • Build artificial-intelligence-powered workflows, including implementing agents and large-language-model-based automation for triage, enrichment, and next-step capture; work with Model Context Protocol integrations and identify additional opportunities to reduce manual work with AI.
  • Perform Salesforce work including complex flows, data-model changes, permission-architecture updates, and sandbox and release management, as well as comparable work in Outreach, Planhat, DealHub, and Clay as projects demand.
  • Contribute to solution design by partnering with the technical program manager and senior engineers on requirements and architecture, identifying tradeoffs and downstream impacts, and evaluating 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 Advanced Administrator or Platform App Builder certification.

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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