Full-Time

Technical Product Owner

Core Services

DoiT International

DoiT International

501-1,000 employees

Cloud consulting and optimization platform

No salary listed

Remote in USA + 2 more

More locations: Remote in UK | Remote in Ireland

Remote

Global remote role; occasional coordination across time zones may be required.

Category
Product (1)
Required Skills
Kubernetes
Microsoft Azure
Computer Networking
AWS
Observability
REST APIs
Google Cloud Platform

Get referred to DoiT International

See people who can refer or advise you

Requirements
  • 7–10 years of hands-on experience as a Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, Solutions Architect, or a similar role working with or building products for public cloud infrastructure (AWS, GCP, and/or Azure)
  • A strong product sense for turning messy problems into clear scope and shipped value - without waiting for perfect information
  • Systems thinking: Ability to reason about complex distributed systems, architectural tradeoffs, and long-term platform evolution
  • Prioritization: Demonstrated ability to balance customer needs, engineering constraints, and platform investments when making prioritization decisions
  • Deep curiosity and technical fluency in cloud fundamentals (cost/billing concepts, identity/IAM, networking, compute, Kubernetes, observability, automation), and experience building solutions that leverage or focus on these technologies
  • Excellent communication skills: you can explain complex ideas simply, facilitate alignment, and confidently engage with customers and experts
  • A bias for action and continuous improvement: you ship, measure, learn, and iterate - building capabilities that become a meaningful competitive differentiator
Responsibilities
  • Translate the VP’s strategy into a sequenced backlog of problems, user stories, and acceptance criteria that the Engineering team can deliver continuously.
  • Keep work “thin-sliced” so the team can ship frequently, learn quickly, and reduce risk through iteration.
  • Maintain a disciplined cadence of backlog refinement, sprint readiness, and scope negotiation to keep delivery predictable without slowing innovation.
  • Leverage your hands-on DevOps experience and expertise in the real-world workflows of the professionals you’re building for - especially cloud operators and practitioners.
  • Use firsthand domain knowledge and ongoing customer conversations to identify friction, gaps, and opportunities for differentiation.
  • Prioritize enhancements that materially improve outcomes: speed, reliability, clarity, safety, governance, cost impact, or operational simplicity.
  • Often speak with customers (aiming for 3-5 calls a week) and cross-functional DoiT stakeholders regularly to test ideas, validate assumptions, and pressure-test tradeoffs.
  • Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into decisions, and explain “why” in a way that builds trust.
  • Rely on your hands-on, DevOps experience to go deep with stakeholders (internal/external) into the technical details of the problem, our solution, and the contexts and environments in which both of these exist.
  • Support beta/design-partner motions where appropriate by shaping hypotheses, success criteria, and rollout plans.
  • Operate as a core member of the Core Services’ Engineering team - present in daily collaboration, crisp in decision-making, and pragmatic about constraints.
  • Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning - ensuring product intent survives implementation realities.
  • Ensure Core Services are cohesive across UX, APIs, data, and operational behavior - and that it meets a high bar for reliability and customer trust.
  • Define what “success” means for Core Services with clear metrics (adoption, activation, workflow completion, time-to-value, retention, reliability signals, customer-reported impact).
  • Instrument learning: make sure releases are measurable and that insights reliably flow back into prioritization.
  • Own release readiness for Core Services: documentation, enablement inputs, and clear communication of what’s new and why it matters.
  • Ensure product requirements account for real-world cloud environments: IAM boundaries, auditability, guardrails, and safe defaults.
  • Partner with security, support, and customer teams to anticipate edge cases and ensure Core Services earns trust over time.
  • The Core Services’ roadmap advances through frequent, high-quality releases with clear customer value.
  • Customer feedback loops are strong: you can show how insights translated into shipped improvements.
  • Adoption and outcomes improve measurably (usage, engagement, workflow completion, reliability, and customer impact).
  • The Engineering team consistently has clarity on the next most valuable increment to build - and why.
Desired Qualifications
  • Coding experience is a plus

DoiT International provides cloud consulting and technology solutions to help businesses optimize their cloud operations. The company offers expert services alongside proprietary software tools to manage cloud environments, focusing on cloud migration, cost optimization, and performance tuning. It collaborates with major cloud platforms such as Google Cloud and AWS to deliver tailored solutions and subscriptions, generating revenue from consulting fees and software licenses. DoiT differentiates itself through its direct partnerships with large cloud providers, its suite of in-house tools, and a blended business model that combines one-time consulting with recurring software subscriptions. Its goal is to help clients accelerate digital transformation, maximize cloud investments, and maintain efficient, scalable cloud environments for a diverse client base.

Company Size

501-1,000

Company Stage

Series A

Total Funding

$100M

Headquarters

San Francisco, California

Founded

2011

Get referred to DoiT International

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • May 2026 PerfectScale for Commitments targets dynamic Kubernetes and autoscaling waste immediately.
  • June 2026 Ingram Micro alliance exposes DoiT to 5,000-plus AWS partners.
  • July 2026 Attribute launch attacks AI token spend, a fast-growing budgeting pain point.

What critics are saying

  • AWS Cost Explorer remains free and native, pressuring DoiT on AWS-only accounts.
  • DoiT’s acquisition spree, including SELECT and Attribute, raises integration and execution risk.
  • If AWS or GCP bundles deeper FinOps automation, DoiT loses its reseller-led wedge.

What makes DoiT International unique

  • DoiT’s June 2026 AWS BVR Competency proves measurable business-outcome delivery, not just tooling.
  • PerfectScale uses workload-aware continuous optimization across Kubernetes, commitments, Snowflake, and Databricks.
  • DoiT’s forward-deployed engineers and 99.7% satisfaction differentiate it from software-only FinOps vendors.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Unlimited Paid Time Off

Flexible Work Hours

Health Insurance

Parental Leave

Employee Stock Option Plan

Home Office Stipend

Professional Development Budget

Peer Recognition Program

Company News

Precedence Research
Jul 28th, 2026
DoiT acquires Attribute to launch real-time AI tokenomics and earns AWS Business Value Realization status

DoiT acquired AI cost-management startup Attribute in July 2026 to launch a real-time, kernel-level tokenomics product. The Santa Clara-based company has acquired five companies in the past 18 months, focusing on AI cost management. DoiT simultaneously became an inaugural partner for the new AWS Business Value Realization Competency, which proves measurable financial and technical outcomes for enterprise customers. This recognition complements a five-year strategic collaboration agreement with AWS to generate $5 billion in business. The acquisition enables DoiT to offer automated, zero-instrumentation cost attribution that tracks real-time consumption at the kernel level. The platform connects AI token costs directly to individual customers, features, and autonomous agents without requiring SDKs or tagging policies. DoiT aims to lead in establishing operational standards for AI token attribution alongside the newly formed Tokenomics Foundation by the Linux Foundation and FinOps Foundation.

PR Newswire
Jul 7th, 2026
DoiT launches Attribute to track AI spend without code changes

DoiT has launched Attribute™, a technology that tracks AI spending across tokens, model requests, and GPU usage without requiring SDKs, tags, or code changes. The system uses a lightweight eBPF sensor that installs in approximately 15 minutes and immediately provides detailed cost breakdowns per customer, feature, and agent. The technology addresses a growing challenge in AI cost management. DoiT projects monthly AI spend will triple in the next 12 months, yet only 15% of 500 surveyed enterprise leaders said they could calculate AI ROI without significant bottlenecks. Attribute™ measures consumption at the operating system kernel level, tracking every GPU cycle, API call, and token back to the specific workload, tenant, or agent responsible. The system automatically splits cached, reasoning, input, and output tokens and integrates with cost data from Anthropic, OpenAI, Google Gemini, and AWS Bedrock.

CRN
Jul 7th, 2026
DoiT Buys AI FinOps Startup Attribute, Launches AI Token Cost Management Product

DoiT Buys AI FinOps Startup Attribute, Launches AI Token Cost Management Product

PR Newswire
Jun 16th, 2026
DoiT expands PartnerOps platform with revenue management for cloud distributors

DoiT has expanded its PartnerOps platform with Revenue Management capabilities, responding to growing demand from cloud distributors and hyperscalers. The platform helps channel partners operate profitable cloud practices by automating billing, reconciliation and margin protection across multi-tier distribution structures. The expansion builds on DoiT's November 2025 alliance with Ingram Micro, which brought DoiT Cloud Intelligence to thousands of AWS partners. In December, DoiT earned AWS Managed Services Provider Programme Designation, placing it amongst the top tier of AWS MSP partners globally. Revenue Management automates the conversion of cloud usage into invoice-ready charges, applying contract-aware pricing logic across distributors, resellers and end customers. The module eliminates manual reconciliation work and reduces revenue leakage. DoiT manages over $20 billion in cloud spend for 4,500 customers across 27 countries.

PR Newswire
Jun 9th, 2026
DoiT extends SELECT to Databricks, automating cost optimisation across $250M+ in data platform spend

DoiT has launched SELECT for Databricks, extending its automated cost optimisation platform to help engineering and data teams manage Databricks expenses. The product provides full cost visibility across Databricks environments and underlying cloud infrastructure, combining both into unified reporting. SELECT for Databricks offers automated savings of up to 30% on workloads, granular cost attribution by workspace and team, and machine learning-powered anomaly detection. The platform integrates via read-only access and requires approximately 20 minutes to set up. Built on technology proven across $250 million in Snowflake spend, SELECT now supports Databricks alongside Snowflake, with Google BigQuery in early preview. Clearco reported a 15% usage reduction within two days of deployment. SELECT is available standalone or within DoiT's Cloud Intelligence platform.