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Pointfive

Cloud Efficiency Architect

New York; BostonHybrid · United States
Staff · FullTime · Product
POSTED 4 SEPTVERIFIED 21H AGO
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Role
65 days opentrue age
Posted 4 Sept
Payats field
$180k–200kposted
▲ +3% vs market median $185k
$151k$215k
Market p25–p75
$151k–$215k
New York · n=417 · 365d to 6 Nov
CompanyPointfive →
12open roles
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All tracked boards · live 8 Nov · n=23,257
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About PointFive

PointFive finds the cost buried inside enterprise infrastructure, from the cloud to coding agents. We pioneered DeepWaste across cloud and data platforms, and we are now doing the same for AI token spend with TokenShift.

Fanatics, H&M, Hertz, Nubank, Citizens Bank and other Fortune 500 companies use PointFive to see and cut what their infrastructure and AI actually cost.

We have raised $96 million, most recently a $60 million Series B led by Accel. Engineering sits in Tel Aviv and our go-to-market team is focused on North America. PointFive Labs, our research arm, publishes original work on how infrastructure and AI actually get paid for.

CRN named us one of the 10 hottest cloud computing startups of 2026, Forbes Israel put us on its Next Billion Dollar Startups list, and Redpoint selected us for its InfraRed 100, its ranking of the private companies shaping the future of cloud infrastructure.

About the Role

As a Cloud Efficiency Architect, you'll work directly with PointFive'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 PointFive 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 PointFive 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 PointFive 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 FinOps 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 PointFive 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 FinOps role or in cloud engineering/architecture

Background in engineering, cloud architecture, or DevOps, 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 inefficiencies beyond the obvious.

Source · PointfiveFirst seen 7 NovOriginal ↗