Full-Time

Engineering Manager - Analytics House

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

Remote across multiple regions; no on-site requirements.

Category
Engineering Management (1)
Required Skills
Microsoft Azure
BigQuery
SQL
AWS
REST APIs
Google Cloud Platform

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Requirements
  • 10+ years of engineering experience
  • 4+ years in engineering management roles where you actively coded as part of your responsibilities
  • Hands-on, real-life experience building cloud-based SaaS products - running services in production on AWS, GCP, or Azure, and owning availability, cost, and the customer-facing surface
  • API first mindset
  • Products are built not just for end user experience through UI, they are fully functional and available through APIs, so both humans and agents can interact with the platform
  • Strong background in databases, SQL, query optimization, and BigQuery
  • A track record of taking an engineering team and visibly transforming it - measurable improvements in delivery velocity, technical quality, or team caliber
  • Deep technical fluency in your team's primary stack
  • Strong opinions on how high-performing engineering teams operate, and a clear philosophy on hiring, coaching, performance management, and technical decision-making
  • Excellent judgment under pressure
  • Direct, candid communication
Responsibilities
  • Leading a team of engineers, owning both its delivery and its development
  • Lead a mindset and process of continuous improvement within the team and meaningfully impact the team’s growth and success over time
  • Develop engineers through regular 1:1s, growth plans, performance reviews, and direct, candid feedback
  • Develop the next layer of leadership - tech leads, senior engineers ready to manage, and ICs ready to step into staff roles
  • Write code and review code. Be a credible voice in technical decisions because you have hands in the work, not because of your title - you are current, not rusty
  • Drive the team's architectural and technical design decisions in partnership with senior ICs, ensuring alignment on approach and implementation
  • Uphold engineering standards through thorough, constructive pull-request review and a healthy release process, keeping the team's components scalable and in a healthy state
  • Work AI-augmented and lead an AI-augmented team, applying sharp judgment about where AI helps and holding the same quality bar for what ships
  • Own the team's commitments - what was promised, when it was promised, and the quality bar that was held
  • Run a disciplined cadence of planning, prioritization, and delivery without becoming a process bureaucrat
  • Partner closely with the Technical Product Owner and Product team on scope, sequencing, and tradeoffs, maintaining a roadmap that reflects both near-term priorities and longer-term direction
  • Understand the broader business objectives behind the work, translate that context for the team, and ensure engineering effort clearly aligns with those objectives
  • React decisively to change - re-planning, re-prioritizing, and re-staffing as the business moves - while keeping the team engaged and steady through the shift
  • Own hiring for your team. Interview thoughtfully, decide quickly, and refuse to lower the bar to fill seats
  • Recruit, coach, and - when needed - make hard calls toward the standard the team is held to
  • Operate as a role model for other engineering managers across the organization: share your operating model, mentor peers, and raise the management bench
  • Upwards: Communicate clearly and succinctly, giving leadership the right level of context and prioritizing escalations based on relevant, well-gathered information
  • Downwards: Empower senior engineers to own key areas of the product, and coach team members to stay focused, intentional, and aware of their impact
  • Sideways: Partner effectively with Product, Design, GTM, Customer Success, and other teams - raising challenges and opportunities constructively to support cross-team alignment
Desired Qualifications
  • A strong, already-established AI-augmented workflow, with opinions on how to apply AI tools and agentic workflows to raise both velocity and quality
  • Hands-on experience with more than a single cloud provider
  • Background in scaling teams, processes, or technical systems as the organization grows

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

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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.

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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.