Vice President, Data Cloud

DigitalOceanBoston, MA
Remote

About The Position

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. We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption. DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities. This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact. We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

Requirements

  • Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
  • Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
  • Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
  • Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
  • Proven experience scaling engineering organizations and delivering under real-world constraints
  • You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Responsibilities

  • Architecture and delivery of a unified platform spanning: Ingestion (connectors, CDC, streaming) Storage (object, OLAP, vector, graph) Processing (ELT pipelines, real-time and batch) Query & analytics (SQL, hybrid search, RAG) Governance (catalog, lineage, versioning, access control)
  • Knowledgebase-as-a-Service (RAG pipelines)
  • Vector and hybrid retrieval systems
  • Feature and embedding pipelines
  • Real-time inference data paths
  • Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
  • Drive roadmap aligned to Digital Native Enterprise (DNE) customers
  • Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability
  • Build and scale a high-performing global organization (US and India)
  • Implement single-threaded ownership (STO) across services
  • Partner deeply with Product, GTM, and Platform Engineering

Benefits

  • 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.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

501-1,000 employees

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