Technical Product Manager

Finout is a cloud cost management company trusted by The New York Times, Wiz, Elastic, SiriusXM and Lyft. The role owns Finout's enrichment layer, which joins operational metrics with cost data to show what cloud and AI spend cost, who caused it, and whether it was worth it. Kubernetes is the biggest use case, and AI cost attribution (GPU nodes and AI gateway traffic) is a newer focus. The company is hybrid, with teams in Tel Aviv and New York. Applicants are asked to skip the cover letter and describe something they shipped that forced them to understand a system nobody else on the team wanted to touch.

Responsibilities

Own Finout's enrichment layer, the proprietary part of the platform that joins operational metrics with cost data; Enrich Kubernetes cost data so it can be attributed per namespace, workload, team and customer; Drive efficiency analysis (requests vs. real usage, idle nodes, bin packing, spot and autoscaling); Support cost planning for future workloads; Attribute AI costs (GPU nodes and AI gateway traffic) down to the team, feature and person who spent them; Take on new provider billing models, telemetry sources and large-scale customer data challenges

Requirements

3+ years in product roles; Technically hungry, going deeper than the job strictly requires and learning unfamiliar systems quickly; Able to take a messy data question and turn it into a detection a customer trusts enough to act on; Independent by default, finding out and acting without waiting to be unblocked or told what happens next; Comfortable working as the most junior person in one room and the most senior in the next; Uses AI to do real work and has built with it

Nice to have

Devops/SRE background; Strong data background; Experience with Kubernetes; Interest in AI and GPU efficiency