Technical Support Engineer II

Posted Yesterday
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Boston, MA, USA
Hybrid
85K-130K Annually
Mid level
Cloud • Software
The Role
Own complex technical support tickets involving APIs, logs, databases, cloud-billing connections, and data pipelines. Diagnose root causes using SQL, log analysis, and cloud-cost data, resolving issues directly when possible and escalating appropriately. Build documentation, runbooks, and AI workflows to improve automated support through Fin and internal tooling. Communicate clearly with customers and engineering while prioritizing a live ticket backlog.
Summary Generated by Built In
About the Role

CloudZero's Technical Support team is the bridge between our customers and software developers, where the hard problems land after our AI frontline (Fin) deflects the routine. This is a technical problem-solving role first and a customer-facing role second.

You'll leverage AI to dive deep into logs, queries, APIs, and data pipelines, tracing how a customer's AI-spend and cloud-cost data moves through our platform and working out why something looks wrong.

Most of our stack is bespoke, so we'll teach you the product, but you need to arrive a strong, curious troubleshooter comfortable with ambiguity who thinks on your feet. We comprehend and resolve hard problems ourselves, escalating to engineering only when necessary. We’re accelerating problem-solving, trading “old support” for speed.

What You'll Do
  • Own and resolve complex technical tickets end to end. Trace issues across APIs, logs, databases, and the pipeline that moves customer AI-spend and cloud-cost data through CloudZero, and resolve them without engineering when possible.

  • Work a live ticket backlog, prioritize by impact, and drive clear communication whether with engineering or with customers.

  • Decide the right path for each issue: resolve directly, route contracts and renewals to Customer Success, escalate to engineering.

  • Investigate the health of customer cloud-billing connections across cloud providers: how they're set up, what data should arrive and when, and what “healthy” looks like.

  • Build the knowledge content that powers AI deflection: docs, runbooks, and guides that let Fin and our internal AI tooling deflect, accelerate, and resolve issues before they reach a person.

  • Use and sharpen our AI tooling to troubleshoot faster, including helping tune Fin's AI agent to handle more on its own.

What You Bring
  • A strong technical foundation and problem-solving mindset, a real drive to help customers, and an ability to remain calm in ambiguity.

  • 3-5 years in a complex troubleshooting environment, at the application and data level (this isn't an infrastructure-operations role).

  • Sharp diagnostic instincts: you reason from APIs, logs, and data flow to a root cause.

  • Working SQL: you read and write queries against complex data (Snowflake or similar) comfortably. More than basic, short of expert.

  • Log-analysis fluency, including from the command line (Sumo Logic, Snowflake, or comparable).

  • Day-to-day fluency with agentic AI tools (Claude Code, Codex, or similar), and the judgment to catch when the AI is wrong before it reaches a customer.

  • Enough understanding of cloud infrastructure to reason about billing and cost data: where it comes from, how it flows, and what it should look like coming back.

  • Clear, confident written and verbal communication with customers.

  • Experience with customer support platforms. Fin (formerly Intercom) preferred; Zendesk, Pylon, and DevRev comparable. Experience optimizing Fin or Intercom is a plus, as is building your own tooling or improving ours to optimize Fin's AI agent.

  • REST API fluency (Intercom, Atlassian, and similar).

  • A habit of building reusable AI workflows, authoring skills and prompts that turn a solved problem into a repeatable asset.

Nice to Have
  • Hands-on exposure to multi-cloud billing or cost data (AWS, Azure, GCP, OCI)

  • Deeper AI-operations experience, including permission scoping, plugin distribution, and curating known agent failure modes

  • FinOps or cloud cost-management background

  • Experience in a fast-paced startup or SaaS environment

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 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!

Skills Required

  • 3-5 years of experience in a complex application- and data-level troubleshooting environment
  • Strong technical troubleshooting and problem-solving skills in ambiguous situations
  • Ability to diagnose root causes using APIs, logs, and data flows
  • Working SQL skills, including reading and writing queries against complex data such as Snowflake
  • Log-analysis fluency, including command-line analysis
  • Day-to-day proficiency with agentic AI tools such as Claude Code or Codex
  • Understanding of cloud infrastructure, billing, and cost-data flows
  • Clear written and verbal customer communication skills
  • Experience with customer support platforms
  • REST API fluency
  • Ability to create reusable AI workflows, skills, and prompts
  • Hands-on exposure to multi-cloud billing or cost data across AWS, Azure, GCP, or OCI
  • Deeper AI-operations experience, including permission scoping, plugin distribution, and agent failure-mode curation
  • FinOps or cloud cost-management background
  • Experience optimizing Fin or Intercom
  • Experience building support tooling or improving AI-agent workflows
  • Experience in a fast-paced startup or SaaS environment

CloudZero Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CloudZero and has not been reviewed or approved by CloudZero.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, and vision. This breadth is consistently presented as a core part of the total rewards package.
  • Leave & Time Off Breadth Paid time off is presented as flexible and generous, with practices like Focus Fridays supporting balance. Remote-first policies and periodic meetups complement the time-off approach.
  • Equity Value & Accessibility Equity grants are included broadly, giving employees a stake in the company’s success. This equity component is positioned as a meaningful part of total compensation.

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The Company
HQ: Boston, MA
180 Employees
Year Founded: 2016

What We Do

CloudZero is the only cloud cost intelligence platform that puts engineering in control by connecting technical decisions to business results. CloudZero ingests cost data from AWS and Snowflake, organizes it for analysis, and delivers the insights to engineering teams who can understand how their work is impacting the business. You can answer question like: * Who are my most expensive customers? * Which product, feature, and team is spending the most? * Has the profitability of my product changed quarter over quarter? The outcome is real-time intelligence that helps companies control their cost of goods sold (COGS) and gross margins — aligning engineering and finance teams once and for all.

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