--- title: 'Senior AI Enablement Engineer at CloudZero' canonical: 'https://feeny.ai/job/senior-ai-enablement-engineer-cloudzero-boston-ad5v3kx0m0bs' type: 'job' last_seen: '2026-11-05' --- # Senior AI Enablement Engineer at CloudZero - **Company:** CloudZero - **Location:** Boston, MA - **Compensation:** $150k–$205k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-05 - **Apply:** https://jobs.ashbyhq.com/cloudzero/eeac6aff-5b3c-4667-9c84-0db19445c651 ## Job description ## About the team The IT and Security team sits within the Office of the CTO (OCTO), a small, high-leverage group led by our CTO & CISO. OCTO owns CloudZero's AI-native vision, IT, security, and the economics of our internal technology. The team runs IT, data, governance, risk and compliance, and product security, and leads our Claude platform rollout, our AI landing zones, Okta as code, and our AI cost and usage reporting. The team works from an AI maturity model that describes the move from individuals using AI every day (level 2) to teams redesigning how their work gets done around it (level 3 and beyond). It partners with AI Champions in each function and builds rather than presents. Because CloudZero is an AI cost management company, every system the team builds is a proof point for what we sell: we instrument everything for cost and practice what we preach. ## The role We are hiring a Senior AI Enablement Engineer. This is a technical role on the IT and Security team, but it is not traditional IT. Your job is to help every team at CloudZero do more with AI, and to make sure we can do it safely. You will embed with teams like Finance, Sales, Marketing, Customer Success, People, and Engineering, learn how their work really gets done, and then redesign it with AI. You will build the agents, automations, and tools that make that happen, and you will teach people to build their own. When you find that the foundations are missing, such as the right access controls, data connections, logging, evaluation, or cost tracking, you will build them or pick the right product and implement it. This is one of three related senior roles on our IT and Security team, each a single hire and each adding capacity. Our existing Senior IT & AI Systems Engineer owns core IT systems, identity, and employee lifecycle automation. Our Senior AI Data & Platform Engineer builds the data, retrieval, APIs, and agent runtime behind our AI. You focus on people and workflows: embedding with teams and shipping what they need on top of that foundation. An Associate AI Enablement Engineer will support all three. This posting is for one opening. You are a generalist who uses AI every day to do far more than you could alone. You like hard problems, you like people, and you would rather ship something that works than write a slide about it. We work automation first. A ticket is a signal that a system failed a person, and the third request for the same number is a data product that does not exist yet. Your job is to fix the upstream cause so the next ten people do not hit the same wall. ## What you will do - Partner with business teams to map their workflows, find the friction, and agree on AI enablement goals and success metrics before building anything. - Design, build, and run AI-powered workflows, agents, and automations that change how work gets done, from quick wins to production systems that teams rely on. - Integrate AI with the systems we run on (for example our CRM, finance, HR, support, collaboration, and data platforms) using APIs, MCP servers, iPaaS tools, and custom code. - Spot when a solution built for one team can help others and turn it into a reusable pattern, skill, or template. - Identify gaps in the platforms we need to deploy and govern AI safely, including identity and access, data access and classification, logging, evaluation, human review, and spend controls. Then build or buy and implement what is missing. - Own the build vs buy call for AI tooling: evaluate vendors, run trials, and make clear recommendations with cost and risk tradeoffs. - Work with Security, G&A, and Engineering to write and maintain practical AI usage and data handling standards, and make the approved path the easy path. - Set up evaluations and monitoring so the workflows you ship keep working as models and systems change. - Track AI adoption, outcomes, and spend across the company, and report what is working to IT leadership. Use CloudZero to understand what our own AI spend is producing. - Raise AI fluency across the company through office hours, working sessions, playbooks, and one-on-one coaching. - Document everything you build so the work is repeatable and scalable. - Build the experience for internal agent builders: templates, deploy paths, docs, and office hours that turn one team's work into every team's capability. - Turn repeated requests into self-serve tools and data products, working with our IT & AI Systems Engineer on the systems and employee lifecycle automation that agents depend on. - Partner with our IT and data platform engineers so every agent runs with the permissions of the person who invokes it, never more, with no shared service accounts, and with its cost attributed to a team. ## What you bring - 5+ years in a technical role such as software engineering, IT or systems engineering, solutions/sales engineering, automation, or internal tools. - Hands-on coding skills in Python, TypeScript, or similar, plus solid SQL and comfort working with REST APIs and webhooks. - Deep personal use of modern AI tools, including coding agents, LLM APIs, MCP, agent skills or custom GPTs, and retrieval patterns. You can show how your use has changed over the last year. - Ability to enable and train; confidence in facilitating workshops and trainings in an engaging manner that fosters continuous learning and development. - A track record of building tools, automations, or AI workflows that changed how a real team works, with specific examples and results. - Working knowledge of identity and access (SSO, SCIM, OAuth scopes, service accounts, least privilege) and how data permissions carry into AI tools. - The habit of defining what good output looks like, testing it, and owning the result. - Strong business sense and the ability to earn trust with non-technical teams quickly. - Clear writing and teaching. You can explain technical ideas to a diverse set of audiences, both technical and non-technical. - Comfort with ambiguity. You do not need a detailed roadmap to know where to start. - You reach for Claude Code, Claude Desktop, or Cursor before solving a problem by hand, and you can talk credibly about which models and tools are good at what, where they fall short, and how to prompt them well. ## Nice to have - Experience as a forward deployed engineer, solutions engineer, or consultant who had to deliver results inside someone else's organization. - Experience with iPaaS or workflow tools (for example Workato, Zapier, n8n, or Make) and enterprise AI platforms. - Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework, or with SOC 2 style security programs. - Experience with data warehouses, data pipelines, and retrieval systems. - Background in cloud infrastructure, cloud cost management, or SaaS spend management. - Experience leading change across skeptical teams or building internal training programs that stuck. ## About CloudZero CloudZero is the AI ROI Company. We built the financial control plane for AI: the system finance, IT, and engineering use to connect every AI dollar to the outcome it produced. Across every provider. In real time. AI spend is the fastest-growing line on enterprise P&Ls and the least understood. Only 14% of CFOs can prove AI ROI today. CloudZero answers the question no one else can: what did it cost to produce this outcome, for this customer, on this model. The largest cloud spenders on the planet already run on CloudZero, including Coinbase, Duolingo, DoorDash, and Shutterstock. We processed 14 trillion billing events in the last twelve months. We're the first listed partner on Anthropic's cost and usage API. We've raised over $119 million, including a[$56 million Series C](https://www.cloudzero.com/press-releases/20250528/) backed by leading venture capital firms. Why Join Our Team? At CloudZero, you’ll find a collaborative, fast-moving environment where your work makes a direct impact. We’re a team that values ownership, creativity, and curiosity — and we’re tackling some of the most complex challenges in the cloud space. If you’re excited by working with cutting-edge technology, driving meaningful outcomes, and growing with a company that’s scaling fast, we’d love to hear from you! ## About CloudZero ## Company Overview - **One-liner**: CloudZero is the AI ROI Company that provides a financial control plane for cloud and AI spend, helping businesses connect every dollar spent to measurable business outcomes. - **Entity Type**: Private (Series B) - **Headquarters**: Boston, Massachusetts, USA - **Founded**: 2016 - **Founders**: Erik Peterson (co-founder) ## Core Business - **Primary industry**: FinOps / Cloud Cost Management / AI Spend Intelligence - **Target customers**: B2B, Enterprise (Engineering leaders like CTOs, VPs of Engineering; Finance leaders like CFOs, FP&A; Platform and cloud ops teams) - **Mission / Purpose**: To help the world's most ambitious businesses turn cloud and AI spend into measurable value. The company's vision is to be the only platform to quantify and maximize the ROI of every cloud and AI dollar spent. ## Products & Services - **CloudZero Platform**: A SaaS platform that unifies cost and usage data from any AI platform, cloud provider (AWS, GCP, Azure), and SaaS tool (Snowflake, Datadog, MongoDB, Kubernetes) into a single pane of glass. It provides multi-dimensional allocation, real-time anomaly detection, and AI outcome attribution. - **CostFormation**: A code-driven approach for allocating costs, allowing platform and cloud ops teams to author allocation structure so finance and engineering see the same numbers. - **AI Hub**: Connects AI spend to specific models, providers, prompt patterns, and coding agents (Claude Code, Cursor, GitHub Copilot) to show cost context where engineers work. - **Analytics (BI capability)**: A business intelligence feature released in 2023 to improve business efficiency. - **AnyCost**: An API launched in 2019 to combine cost data from any cloud provider. ## Market Standing - **Valuation**: Not publicly disclosed. - **Key Metric**: Over $14 billion in cloud spend under management. The company raised $32 million in Series B funding. - **Notable Investors/Partners**: Not fully disclosed, but notable milestones include joining the AWS ISV Accelerate Program, the FinOps Foundation Governing Board, and achieving SOC 1 Type 2 certification. Phil Pergola (former CloudHealth executive) joined as CEO. - **Growth Signals**: Named a "Strong Performer" in the Forrester CCMO Wave, a "Visionary" in the Gartner MQ for CFM Tools, and "Best Places to Work" by Boston Business Journal. The platform is certified by the FinOps Foundation. Average time to pay for itself is 3 months, with average cloud savings of 22% in year one and a 33% average Cloud Efficiency Rate improvement. ## Competitive Advantages - **Depth of Allocation**: The only engine that allocates AI, cloud, and Kubernetes cost at the depth of customer, feature, workflow, and model, fueling unit economics. - **Real-time Data**: Streaming telemetry captures every AI call as it happens, with anomaly signals in seconds and full dimensional allocation in hours. - **Outcome Attribution**: Maps AI spend to business outcomes (customer, product, transaction, P&L), not just activity metrics. - **No Monthly Overages**: Uses a tiered, predictable pricing model that doesn't vary month to month. - **Speed to Value**: Can connect in minutes and uncover unit cost metrics in hours. ## Strategic Focus - **AI ROI Leadership**: Positioning itself as the "AI ROI Company," the strategic focus is on helping companies govern AI spend and value as AI adoption explodes. - **Category Creation**: Moving from category-creator to category-leader in the AI financial control plane space. - **Platform Expansion**: Continuing to integrate with more AI platforms, coding agents, and business systems to unify the cost conversation across engineering and finance. ## Why Work Here - **Remote-First Environment**: The company is remote-first, with a hub in Boston. - **Culture & Values**: Core values include "Commit then iterate," "Own the outcome," "We, not I," "Delight the customer," "Nothing is sacred," "Less is more," and "Wait for no one." - **Benefits**: Flexible Time Off, Home Office Stipend, "CZ Wellness" program, Recognition Program, Commuter Stipend, Catered Lunches, Focus Fridays, AI Build Days, and a Holiday Schedule. - **Engineering Culture**: Emphasizes high-bar, low-ego talent, and a passion for all things cloud. The company is described as a "tight-knit team in a high-growth, fast-moving environment." - **Growth Trajectory**: Job seekers are drawn to the opportunity to work at a high-growth startup that is defining a new category in AI spend intelligence. ## Sources 1. [CloudZero.com](https://www.cloudzero.com/) 2. [CloudZero About Page](https://www.cloudzero.com/about/) 3. [CloudZero Careers Page](https://www.cloudzero.com/careers/) 4. [CloudZero Jobs (Ashby)](https://jobs.ashbyhq.com/cloudzero) 5. [Built In Boston - CloudZero](https://builtin.com/company/cloudzero/faq/workplace-perception) ## Other roles at CloudZero - [Executive Assistant, Office of the CEO](https://feeny.ai/job/executive-assistant-office-of-the-ceo-cloudzero-boston-vkj0nd0d3wx8) — Boston, MA - [Staff / Principal Software Engineer](https://feeny.ai/job/staff-principal-software-engineer-cloudzero-san-francisco-mbck6b34av12) — San Francisco, CA - [Sales Development Representative (SDR)](https://feeny.ai/job/sales-development-representative-sdr-cloudzero-boston-r0n4311tkjsk) — Boston, MA - [Technical Support Engineer II](https://feeny.ai/job/technical-support-engineer-ii-cloudzero-boston-m6mpncc0p1p3) — Boston, MA - [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-cloudzero-boston-kcpebqvk70fv) — Boston, MA - [Senior Content Marketing Manager](https://feeny.ai/job/senior-content-marketing-manager-cloudzero-boston-5p5w4vw9jwm3) — Boston, MA - [AI ROI Advisory Services Director](https://feeny.ai/job/ai-roi-advisory-services-director-cloudzero-boston-p3der7w7yxpa) — Boston, MA - [Director, Brand & Corporate Communications](https://feeny.ai/job/director-brand-corporate-communications-cloudzero-san-francisco-b1gre1y8v4a4) — San Francisco, CA - [Senior Platform Engineer](https://feeny.ai/job/senior-platform-engineer-cloudzero-boston-mt909xk95q66) — Boston, MA - [Principal Product Manager, Agentic Systems](https://feeny.ai/job/principal-product-manager-agentic-systems-cloudzero-san-francisco-f0ffg5xj9p3k) — San Francisco, CA