---
title: 'Staff Product Manager, Compute Platform at DigitalOcean'
canonical: 'https://feeny.ai/job/staff-product-manager-compute-platform-digitalocean-hyderabad-272f04675j8v'
type: 'job'
last_seen: '2026-11-03'
---

# Staff Product Manager, Compute Platform at DigitalOcean

- **Company:** DigitalOcean
- **Location:** Hyderabad, India
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-03
- **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=8329551

## Job description

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.

Position overview:

We are looking for a Staff Product Manager, Compute Platform who is passionate about running managed compute services at scale, namely App Platform, Serverless Functions, and Container Registry, and who understands that a great platform experience is built on well-run infrastructure underneath it.

As a Staff Product Manager, Compute Platform at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. You will own the product strategy and roadmap for App Platform, Serverless Functions, and Container Registry (DOCR), the managed compute services that turn DO's Droplet fleet into a place where developers can ship without thinking about servers. That means owning both sides of each service, the developer-facing product and the platform economics beneath it, such as how workloads are packed onto compute, what each app, function, or image pull costs to serve, and how processor, virtualization, and container runtime trends shape our roadmap. You will report to the Director of Product and partner day to day with the Hyderabad-based Compute Cloud Services engineering team that builds the business logic, APIs, and control plane for DO Compute, as well as with our Droplet/VPC, Kubernetes, and infrastructure product peers, finance, and GTM. The ideal person becomes the PM who can hold a customer conversation about deploy workflows in the morning and a capacity and margin conversation in the afternoon, the partner engineering trusts on architecture tradeoffs, and a core part of building out the compute platform PM group in India.

## What you'll do

- Own the vision, strategy, and roadmap for App Platform, Serverless Functions, and DOCR, aligned with DO's overall compute platform strategy, and translate them into prioritized, well-scoped features that are simple to use and efficient to run.

- Own the platform economics of these services. Define how apps, functions, and registry storage map onto Droplets and shared compute, track cost to serve per unit of customer workload, and drive utilization, density, and bin-packing improvements with engineering and finance.

- Stay ahead of the compute landscape that underpins the platform, including processor roadmaps from Intel, AMD, and ARM, virtualization and microVM technologies, and container runtimes and isolation models, and translate those trends into platform decisions such as instance sizing, runtime choices, and price/performance tiers.

- Define the end-to-end developer journey across these services, from source repo or container image to a deployed, autoscaled, observable app or function, and remove the seams (auth, networking, registry, logs, billing) that make customers stitch it together themselves today.

- Work backwards from customers. Run discovery with developers, startups, and SMB platform teams, mine support and community signal, and turn it into clear jobs-to-be-done, user stories, and acceptance criteria.

- Own packaging and pricing for platform services, including how compute, egress, build minutes, storage, invocations, and image pulls are metered, how pricing tracks cost to serve, and how the services attach to Droplets, GPUs, managed databases, DOKS, and Spaces.

- Partner with engineering on architecture tradeoffs in the control plane and data plane, such as build pipelines, autoscaling and scheduling behavior, cold start and concurrency for Serverless Functions, registry performance and garbage collection, and multi-region placement.

- Drive performance, reliability, and efficiency outcomes with clear SLOs and cost targets, and champion the fixes that move them.

- Monitor the competitive landscape for managed compute and PaaS offerings, and identify where DO can differentiate on simplicity, price/performance, or both.

- Lead launches end to end with product marketing, docs, sales, and support, and own the results after GA, including adoption, activation, retention, and margin.

## Key metrics

- Platform services revenue and attach rate (share of Droplet, GPU, database, and DOKS customers also running App Platform or Serverless Functions, and share pulling from DOCR).

- Infrastructure efficiency, measured as fleet utilization and density for the compute serving these services, and cost per unit of customer workload (per app instance, per invocation, per GB stored and pulled).

- Gross margin per service, and the gap between pricing and cost to serve as the fleet and processor mix evolve.

- Activation, retention, and expansion, measured as time to first deploy and as apps, functions, and registries active at 30/90/180 days.

- Reliability and performance against SLO, e.g. deploy and build success rate, control plane availability, Serverless Functions cold start p95, image pull latency.

## What you'll add to DigitalOcean

- 8+ years of product management experience, with a proven track record defining and launching managed cloud compute, PaaS, serverless, or container products, ideally where you owned both the customer experience and the unit economics.

- Strong working knowledge of PaaS, serverless, and container registry models, including buildpack-based deploys, function runtimes and triggers, concurrency and cold start tradeoffs, and OCI image build, storage, and distribution.

- Compute fluency. A solid understanding of the cloud compute landscape, including CPU architectures (Intel, AMD, ARM) and their price/performance characteristics, virtualization and microVMs, container runtimes and isolation, and how these choices affect density, latency, and cost. You will not own the hardware roadmap, but you will make decisions that depend on it.

- Cost and capacity acumen, including understanding of compute, memory, storage, and network cost drivers, the ability to build a cost-to-serve model for a multi-tenant service, and experience turning that model into pricing and utilization targets.

- A strong developer-experience instinct and the ability to specify APIs, CLIs, and console flows that feel simple, with a bias toward defaults that work and escape hatches that do not fight the user.

- Data-driven decision making, with the ability to define the right metrics, read utilization and margin dashboards alongside product dashboards, and change course when the numbers say so.

- Excellent communication and cross-functional leadership, with a record of aligning engineering, infrastructure, finance, and GTM stakeholders across time zones.

Preferred:

- Hands-on Kubernetes experience (cluster operations, workload scheduling, the operator and Helm ecosystem, or building a platform on top of it). You will not own DOKS, but many of our customers' workloads are Kubernetes-shaped, and that background makes for better tradeoffs.

- Prior experience on an IaaS or compute team, such as VM or bare metal product, capacity planning, or fleet efficiency, before or alongside platform work.

- Experience shipping on or competing with Heroku, Render, Fly.io, Cloud Run, Lambda, Fargate, ECR/GCR/ACR, or similar.

- Familiarity with datacenter fundamentals (rack layouts, power and cooling, network design) at the level needed to have a credible conversation with infrastructure teams.

- Prior experience as an early or lead PM for a product area in a new geography.

- Familiarity with DigitalOcean's existing product portfolio.

*This job is located in Hyderabad, India

JR: 2026-8304

#LI-Hybrid

## Why You’ll Like Working for DigitalOcean

- We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
- We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
- We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.

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.

## About DigitalOcean

## Company Overview
- **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services.
- **Entity Type**: Public (NYSE: DOCN)
- **Headquarters**: New York, NY, USA
- **Founded**: 2012
- **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer

## Core Business
- **Primary industry**: Cloud computing, AI infrastructure
- **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises)
- **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about)

## Products & Services
- **Droplet**: Simple, scalable virtual machines for any workload.
- **Managed Kubernetes**: Container orchestration with easy management.
- **App Platform**: Fully managed platform for building, deploying, and scaling apps.
- **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/)
- **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees.
- **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN)
- **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
- **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials.
- **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview.

## Competitive Advantages
- **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers.
- **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees.
- **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/)
- **Community**: Strong open-source and developer community contributions.

## Strategic Focus
- Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications.
- Expanding inference and managed agent capabilities to attract digital native enterprises.
- Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion.

## Why Work Here
- **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big.
- **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP).
- **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection.
- **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities.
- **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell.

## Sources
1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers)
2. [DigitalOcean About Page](https://www.digitalocean.com/about)
3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/)
4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
5. [DigitalOcean Open Roles](https://www.digitalocean.com/careers/open-roles)

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