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Cloud Efficiency Architect

Listing for: PointFive, Inc.
Full Time position Listed on 2026-11-11
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Consultant, IT Project Manager
Salary/Wage Range or Industry Benchmark: 180000 - 200000 USD Yearly USD 180000.00 200000.00 YEAR

Job Description & How to Apply Below

Product Management New York Remote Full-time

Point Five is the AI Efficiency OS. From the cloud to the coding agent, we're the only platform that manages AI spend everywhere it happens.

Engineering and Fin Ops teams use Point Five to make their organizations more efficient and their cloud and AI more effective. We don't just show what you spend. We show what you're wasting, and we fix it autonomously. NuBank saw ROI in 10 days. Customers average 1,200%+ ROI and a 4.9 rating on G2.

Founded by the team behind Int Sights (acquired by Rapid7), Point Five recently closed a $60M Series B led by Accel, with participation from Entrée Capital and Salesforce Ventures.

About the Role

As a Cloud Efficiency Architect, you'll work directly with Point Five's largest enterprise customers on strategic cost and efficiency engagements, owning the strategic relationship for a portfolio of accounts based mainly in NAM. You'll also build our professional services offering from the ground up, defining what we sell, how it's packaged, and how it's delivered. You'll run the first engagements yourself before scaling them with software, automation, and a team.

Beyond the customer work, you'll help shape our product roadmap and represent Point Five as a trusted voice in the Cloud & AI Efficiency industry, including in AI and token spend management, where the playbooks are still being written.

What You'll Do

Advise enterprise customers as a trusted advisor on their cloud and AI efficiency journeys, helping them operationalize cost optimization best practices and defining requirements for custom applications and agentic workflows built on the Point Five platform.

Own a portfolio of NAM accounts end to end, working directly with customer engineering and cloud architecture teams to review infrastructure and drive optimization and remediation at scale.

Build our professional services offering from the ground up
, shaping what we sell and how it's packaged and delivered, running the initial engagements yourself, then evolving the offering and building the software, automation, and team needed to scale it.

Define best practices for AI and token spend management
, positioning Point Five as the leading authority in a new and fast-evolving field.

Accelerate enterprise deals alongside sales
, partnering with Account Executives and Solutions Engineers, representing our professional services in the sales cycle, and owning the handoff into the customer relationship so deal context and expectations carry forward.

Drive renewals and expansion across the customer base, advocating for our expanding solution landscape beyond the Fin Ops space.

Translate the field back into product
, turning customer feedback and emerging industry trends into feature requests and roadmap influence with Product and Engineering.

Build your profile as a thought leader in cloud and AI efficiency, writing, speaking, and attending the industry events that establish both you and Point Five as leaders, and take a leading role in building our post-sales capabilities and brand recognition in NAM.

What We're Looking For

Must-have

7+ years of enterprise experience focused on cloud cost and efficiency, either in a technical Fin Ops role or in cloud engineering/architecture

Background in engineering, cloud architecture, or Dev Ops, with the hands-on ability to build and ship custom applications, automations, and agentic workflows, not just direct others to build them.

Strong understanding of AWS, Azure, GCP, Snowflake, and Databricks cost models, billing/usage data, and architecture-driven optimization.

Working knowledge of AI/LLM cost management and token spend optimization, an emerging discipline with few established playbooks.

Experience identifying and remediating cloud…

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