Senior GTM Engineer

Posted Yesterday
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Hiring Remotely in Austin, TX, USA
In-Office or Remote
120K-140K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Own end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, and AI-powered workflows. Handle tier 2 escalations, troubleshoot cross-system issues, coordinate with vendors, contribute to solution design, document reusable patterns, and mentor an engineer. The role requires deep Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with code, and the ability to deliver durable production solutions.
Summary Generated by Built In

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. 

Revenue Operations, part of DigitalOcean's Revenue Organization, owns the systems that power our go-to-market motion — Salesforce at the center, connected to sales engagement (Outreach, including Kaia), customer success (Planhat), CPQ (DealHub), enrichment (Clay, Sumble), marketing automation touchpoints, and our Snowflake data layer. We're hiring a Senior GTM Engineer to own the project work that moves this stack forward.

This is the builder role on the team, you take on the tier 2 escalations and the project work: implementations, integrations, automation, and the AI-powered workflows reshaping how our GTM teams operate. You'll work with our Technical Program Manager on scoped initiatives, contribute to solution design, and be trusted to take a defined project from design through delivery across any tool in the stack.

What You'll Do
  • Deliver project work across the GTM stack: new tool implementations, integration builds, automation of routing/handoff/lifecycle processes, and cross-tool enhancements — owning them from design through testing, rollout, and enablement
  • Handle tier 2 escalations: the flow errors, integration failures, data model questions, and cross-system issues that frontline triage can't resolve — tracing them to root cause and shipping durable fixes rather than patches
  • Build and maintain integrations and data flows using iPaaS tooling (e.g. Fivetran) and APIs, keeping data like account ownership, territories, routing, and product catalogs consistent from Snowflake to Salesforce to every downstream tool
  • Build AI-powered workflows: implement AI agents and LLM-based automation (triage, enrichment, next-step capture), work with MCP integrations across the stack, and propose new places AI can remove manual work
  • Do meaningful Salesforce work: complex flows, data model changes, permission architecture updates, sandbox and release management — plus equivalent depth in Outreach, Planhat, DealHub, and Clay as projects demand
  • Contribute to solution design: partner with the TPM and senior engineers on requirements and architecture, flag tradeoffs and downstream impacts you see, and pressure-test proposed approaches against how the systems actually behave
  • Coordinate with vendors on implementations, support cases, and POCs, and evaluate new tools hands-on
  • Raise the team's bar: document your builds, establish reusable patterns, and mentor the IC2 engineer on troubleshooting and configuration
What You'll Bring
  • 5+ years administering and building on GTM/business systems, with real depth in Salesforce (flows, data model, permissions, deployments) and hands-on experience in at least two other GTM tool categories — sales engagement, CS platforms, CPQ, enrichment, or marketing automation
  • A delivery record: projects you owned end to end — implementations, integrations, or process automations — that shipped and held up in production
  • Integration experience: you've built and debugged real integrations via iPaaS tools and/or APIs, and you understand auth, rate limits, sync direction, and failure modes
  • Hands-on experience (or strong demonstrated interest) applying AI to systems work: agents, LLM-powered automation, or MCP-style integrations
  • Data fluency: comfortable with SQL and warehouse concepts, able to trace a data quality issue from source to destination
  • Root-cause discipline: you fix the class of problem, not the instance, and you write it up so it stays fixed
  • Strong stakeholder skills: you can turn a vague request into a scoped piece of work, communicate progress and tradeoffs clearly, and push back constructively
  • Familiarity with code (Apex, Python, or JavaScript) — enough to read, understand, and review it; heavy development is not the job
  • Salesforce certifications (Advanced Administrator, Platform App Builder) are a plus
What Success Looks Like
  • First 90 days: You've shipped your first project, tier 2 escalations route to you naturally, and you understand how the major systems in the stack connect
  • First 6 months: You own multiple concurrent projects with the TPM, your fixes have measurably reduced recurring escalations, and at least one AI-powered workflow you built is live
  • First year: You're the trusted builder for anything in the stack — new tools, integrations, or AI workflows — and your patterns and documentation are how the team ships
Compensation Range: 
  • $120,000 - $140,000

*This is a remote role

JR: 2026-8282

#LI-Remote

Why You’ll Like Working for DigitalOcean
  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Skills Required

  • 5+ years administering and building on GTM or business systems
  • Deep Salesforce experience, including flows, data models, permissions, and deployments
  • Hands-on experience in at least two additional GTM tool categories, such as sales engagement, customer success platforms, CPQ, enrichment, or marketing automation
  • End-to-end ownership of shipped implementations, integrations, or process automations
  • Experience building and debugging integrations using iPaaS tools and/or APIs
  • Understanding of authentication, rate limits, synchronization direction, and integration failure modes
  • Hands-on experience or strong demonstrated interest applying AI to systems work, including agents, LLM automation, or MCP-style integrations
  • Comfort with SQL and data warehouse concepts, including tracing data quality issues from source to destination
  • Root-cause troubleshooting discipline and ability to document durable fixes
  • Strong stakeholder communication, scoping, progress reporting, tradeoff communication, and constructive pushback skills
  • Familiarity with Apex, Python, or JavaScript sufficient to read, understand, and review code
  • Salesforce Advanced Administrator or Platform App Builder certification

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental-health insurance. Feedback suggests this area stands out as a core strength of the package.
  • Equity Value & Accessibility — Equity participation is emphasized through performance grants and an Employee Stock Purchase Plan. Feedback suggests these programs add meaningful value alongside base pay.
  • Leave & Time Off Breadth — Time off is positioned as flexible or unlimited, with above-average parental leave highlighted across sources. Feedback suggests this flexibility supports work-life balance.

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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