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 seeking an exceptional leader and technical strategist for the role of Senior Manager, Agentic Analytics Platform Engineering. In this position, you will act as a player-coach, leading a high-performing team of engineering professionals while driving the next generation of our business intelligence infrastructure. You will bridge the gap between complex data architecture and executive-level strategic direction, serving as a primary catalyst for data proficiency and data governance across the organization.
What You’ll Do- Strategic Roadmap & AI Innovation: Own the strategic vision and technical roadmap for building and deploying a cutting-edge, AI-enabled analytics solution to automate insights and streamline data discovery.
- Semantic Layer Architecture: Lead the design, implementation, and governance of centralized enterprise semantic layers to ensure unified metrics definitions, data lineage, and seamless self-service BI reporting.
- Data Modeling & BI Infrastructure: Oversee the development of sophisticated data models and architectures using dbt to support efficient data availability, governance, and advanced dashboarding.
- Team Leadership & Coaching: Manage, mentor, and scale a collaborative team of engineering professionals, giving them the autonomy and resources to deliver high-impact business outcomes.
- Cross-Functional Collaboration: Partner closely with executive stakeholders, product managers, data scientists, and finance leads to translate evolving business goals into robust technical frameworks.
- Performance Optimization & Pipeline Health: Ensure the operational excellence, reliability, and performance optimization of core data pipelines, warehouses, and reporting tools.
- Proven Leadership: Prior experience directly managing, motivating, and retaining high-performing technical teams within the data engineering, analytics, or BI space.
- Advanced Analytics Expertise: Strong hands-on technical background in dbt, SQL, relational databases (e.g., PostgreSQL), and enterprise data warehousing solutions like Snowflake, BigQuery, or Redshift.
- Semantic & BI Tool Mastery: Demonstrated experience building centralized semantic layers and leveraging enterprise BI platforms (Looker preferred).
- AI & Predictive Capabilities: Familiarity or direct experience incorporating AI tools, natural language processing, or predictive models into BI frameworks to enhance user data interaction.
- Executive Communication: Exceptional aptitude for translating complex data structures into actionable insights and presenting technical trade-offs clearly to internal business partners.
- Educational Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical work experience.
- $160,000 - $195,000
*This is a hybrid role
JR: 2026-8236
#LI-Hybrid
- 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
- Directly manage, motivate, and retain high-performing technical teams in data engineering, analytics, or business intelligence
- Hands-on experience with dbt, SQL, relational databases, and enterprise data warehousing
- Experience with PostgreSQL or comparable relational databases
- Experience with Snowflake, BigQuery, Redshift, or comparable data warehouse platforms
- Experience building centralized semantic layers and using enterprise BI platforms; Looker preferred
- Familiarity or experience incorporating AI tools, natural language processing, or predictive models into BI frameworks
- Exceptional executive communication and ability to explain technical trade-offs to business partners
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
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.
