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.
DigitalOcean is on a mission to simplify cloud computing so builders, developers, and AI-native enterprises can change the world. To support our next phase of global expansion and platform evolution, we are looking for a Senior Technical Recruiter—a tech-savvy, program-minded talent partner who combines elite full-lifecycle execution with robust project management, consultative influence, and deep domain fluency.
In this role, you will do far more than fill requisitions: you will operate as a strategic advisor to engineering and executive leadership, programmatically driving talent initiatives across complex technical ecosystems (Cloud, Infrastructure, AI/Inference, and Platform Safety).
What You’ll Do1. Strategic Business Partnership & Executive Alignment- Operate as a Consultative Talent Advisor: Partner directly with VPs, Engineering Directors, and HRBPs to map talent strategies directly to product roadmaps, business OKRs, and workforce planning goals.
- End-to-End Search Orchestration: Manage high-impact, mission-critical technical pipelines (averaging 15+ active complex requisitions) from initial intake/kickoff and market alignment to offer structuring and executive closing.
- Stakeholder Management: Influence, guide, and calibrate hiring managers through market reality, compensation insights, and candidate selection dynamics.
- Deep Domain Fluency: Speak the language of modern engineering teams. Confidently engage top-tier talent across AI/ML, cloud infrastructure, containerization, customer identity, and enterprise software platforms.
- Multi-Channel Talent Programmatic Sourcing: Leverage advanced AI sourcing tools, GitHub, StackOverflow, open-source communities, and targeted networking to surface and engage passive, highly specialized engineering talent.
- Data-Driven Program Management: Treat your hiring funnel like a managed pipeline. Track, analyze, and communicate hiring metrics, conversion rates, and SLA risks to leadership to continuously optimize process velocity.
- Market & Competitive Intelligence: Track real-time labor market trends, tech stack shifts, local global compliance/legislation, and compensation movements to advise leaders on competitive positioning.
- Process Modernization & Scale: Identify operational friction in the candidate loop, proposing and executing workflow improvements across our ATS (Greenhouse), talent tech stack, and interviewer calibration programs.
- Relationship & Communication Mastery: Exceptional interpersonal presence, executive communication skills, and high emotional intelligence. Proven ability to build immediate trust with VP-level stakeholders and navigate complex candidate negotiations.
- Programmatic & Organizational Rigor: Strong project management discipline—able to balance multiple high-volume hiring initiatives, cross-functional dependencies, and candidate workflows without losing speed or quality.
- Tech-Savvy Expertise: A genuine curiosity and working knowledge of modern cloud infrastructure, SaaS, and AI development workflows (e.g., K8s, Go, Python, agent frameworks, microservices).
- Closing & Structuring Agility: Deep understanding of modern compensation structures (base, variable bonus, equity/RSUs), executive offer negotiations, and relevant global mobility/immigration nuances.
- 8+ years of full-lifecycle technical recruiting experience in high-growth, fast-paced SaaS, Cloud, Infrastructure, or hyper-scale environments.
- Proven track record of managing high-impact technical hiring pipelines while influencing senior engineering leadership (up to VP/SVP).
- Demonstrated experience designing and executing targeted talent programs or sourcing campaigns from scratch.
- Advanced proficiency across modern recruiting tech stacks (Greenhouse, LinkedIn Recruiter, AI sourcing tools, market intelligence engines, Google Workspace).
- $110,000 - $150,000
*This is a remote role
JR: 2026-8290
#LI-Remote
- 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
- 8+ years of full-lifecycle technical recruiting experience
- Experience in high-growth, fast-paced SaaS, cloud, infrastructure, or hyperscale environments
- Proven ability to manage high-impact technical hiring pipelines
- Experience influencing senior engineering leadership up to VP/SVP level
- Experience designing and executing targeted talent programs or sourcing campaigns from scratch
- Advanced proficiency with Greenhouse, LinkedIn Recruiter, AI sourcing tools, market intelligence engines, and Google Workspace
- Working knowledge of cloud infrastructure, SaaS, and AI development workflows, including Kubernetes, Go, Python, agent frameworks, or microservices
- Experience with compensation structures, executive offer negotiations, and global mobility or immigration considerations
- Exceptional interpersonal, executive communication, and stakeholder management skills
- Strong project management discipline for balancing multiple hiring initiatives and cross-functional dependencies
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as market‑leading across medical, dental, vision, and mental health, with above‑average employer contributions and 100% employer‑paid life, AD&D, and disability insurance. Some materials note fully paid health benefits for employees in certain locations, though details vary by region.
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Equity Value & Accessibility — Employees are offered company equity alongside an Employee Stock Purchase Plan (ESPP) that enables discounted share purchases, with references to performance equity grants as part of total rewards. This ownership component complements competitive cash pay and bonuses highlighted in company materials.
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Parental & Family Support — Parental benefits are positioned as above‑average, with references to fully paid parental leave (e.g., 10 weeks in newer listings) and a part‑time transition‑back program. Fertility and parenthood support such as Carrot is also called out.
DigitalOcean Insights
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.
