Finout

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. You've been in the meeting. The cloud bill goes up on the screen, the number is bigger than last month, and nobody in the room can say why. Finance wants an explanation. Engineering can't read the bill. Everyone agrees to look into it. Nobody does. That meeting is our product. New York Times, Wiz, Elastic, SiriusXM and Lyft use Finout to find out where the money actually goes and what to do about it. $85M raised, 100+ people across Tel Aviv and New York, five years old, still shipping like it's month three. Now it's happening again, faster. Your company went from spending nothing on AI to serious money in under two years, and when someone asked which team, which feature, which customer — the answer was a shrug. The unit of consumption is a token, and no accounting system on earth has a column for it. Cloud took fifteen years to break properly. AI is managing it in eighteen months, and every CFO funding it is already asking what they're getting. Nobody has answered yet. About the role You'll be part of the team that owns every interaction a customer has with their FinOps data — helping some of the largest corporations in the world adopt and mature their FinOps practice. That runs from the budget they set for next year, to Billy, our FinOps assistant, to the heavy data APIs their platform teams build on top of us. Inside a single customer, that's hundreds of users a day — engineers, FinOps analysts, finance leads, and increasingly AI agents asking on their behalf. Billions of dollars of cloud and AI spend run through Finout, so one decision made on a screen you designed moves millions. Make it clear, and a company builds differently. Make it confusing, and they go the wrong way for a quarter. And the AI half is wide open. Three fronts, all live right now: FinOps for AI. Make AI spend measurable — GPUs, tokens, models, inference — and attributable to the team, product, and customer that generated it. AI for FinOps. Agents that 10x a FinOps team. The furthest edge of FinOps innovation, and no playbook to copy. Finout for agents. Agents are becoming the ones asking and acting. Finout has to be the layer they query and act through — which means designing for a user who isn't human. How we work, and who we're looking for We move fast, we work hard, and we have a good time doing it. You'll love it here if: • You prototype with AI, hand it to our coding agent, and get an answer in days instead of quarters. • Speed is the part of the job you enjoy, not the part you survive. • You'd rather ship something imperfect to ten enterprise customers this month than a perfect thing next quarter • You don't believe in six-month roadmaps either. A plan written in January is fiction by March, and you'd rather re-plan every few weeks and be right • You want to sit across from the sharpest FinOps and platform people on earth, hear exactly what's wrong with your product, and have your fix in their hands days later • You already use AI to do real work, not to look busy. You've built with it, and you can tell output from value • You want to define products that don't exist yet, in a category being invented right now • You're comfortable being the most junior person in one room and the most senior in the next, on the same day And probably not, if: • You need a stable roadmap, a quiet quarter, and a clear lane • Your favorite part of product is the process • You want to be handed requirements, or hand them off • You use the term “strategic” to describe your next pm position; we build and create value; we don’t talk about strategy for a living. • Your AI experience is mostly having opinions about AI "It's not defined yet" reads to you as a problem rather than an opening What you bring • 7+ years in product, including ownership of a complex B2B or data-heavy product used by technical users • Independent by default. You don't wait to be unblocked, prioritized for, or told what happens next — you find out and go • Evidence you've shipped fast, more than once, without leaving a mess behind • You can hold a real conversation with engineers about APIs, data models, and tradeoffs, then hold one with a CFO about forecasting • Comfort with enterprise customers: discovery, hard conversations, and telling a very large logo no when the answer is no • You want to make an impact at the company level, and you know that here it comes from what you ship, not from what you present • A cloud, FinOps, DevOps, or infrastructure background is a strong plus. Curiosity about it is mandatory. Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. You've been in the meeting. The cloud bill goes up on the screen, the number is bigger than last month, and nobody in the room can say why. Finance wants an explanation. Engineering can't read the bill. Everyone agrees to look into it. Nobody does. That meeting is our product. The New York Times, Wiz, Elastic, SiriusXM and Lyft use Finout to find out where the money actually goes and what to do about it. $85M raised, 100+ people across Tel Aviv and New York, four years old, still shipping like it's month three. Now it's happening again, faster. Your company went from spending nothing on AI to serious money in under two years, and when someone asked which team, which feature, which customer — the answer was a shrug. The unit of consumption is a token, and no accounting system on earth has a column for it. Cloud took fifteen years to break properly. AI is managing it in eighteen months, and every CFO funding it is already asking what they're getting. Nobody has answered yet. About the role You'll own Finout's enrichment layer — the proprietary part of the platform that joins operational metrics with cost data. That sounds quiet until you see what it decides. A bill tells you what you spent. Metrics tell you what actually happened: which pod ran, how long a GPU sat idle, how many tokens a feature burned, whose request caused it. Join them and you can answer the only questions anyone truly cares about — what did this cost, who caused it, was it worth it. Keep them apart and you've got an invoice and a Grafana dashboard that never speak to each other. Nobody else in this market has that layer. It's why customers pick us, and it's yours to push forward. Kubernetes is the biggest use case. A cluster is a blender — dozens of teams, hundreds of services, thousands of pods sharing nodes, and one line on the invoice that says EC2. Enrichment is what turns that into cost per namespace, workload, team and customer. Then into efficiency: requests versus real usage, idle nodes, bin packing, spot and autoscaling, each one turned by CostGuard into a dollar figure and something to do about it. Then into planning: what this cluster costs next year when the workload doubles. AI is the newest. The GPU nodes landing in those same clusters, and above them the AI gateway traffic that has to be enriched until a token lands on the team, the feature and the person who actually spent it. Nobody attributes this properly today, and no vendor ships savings recommendations based on real GPU utilization. Not one. Whoever builds it well sets how the industry measures AI efficiency. And then whatever's next. A new provider's billing model, a telemetry source nobody has mapped, a customer's data at a scale that breaks the obvious approach. Those land with whoever can take them — nobody here owns a lane. The constant isn't the domain, it's the kind of problem: technical, data-heavy, unsolved. One more thing worth knowing. This is a system where people start their morning inside. A FinOps lead opens Finout at 9am to find out what happened yesterday, and if the number is late, or wrong, or doesn't reconcile with the invoice, we failed — no matter how good the feature looked in review. If that stake appeals to you rather than frightens you, you'll fit here. How we work, and who we're looking for We move fast, we work hard, and we have a good time doing it. You'll love it here if: • You prototype with AI, hand it to our coding agent, and get an answer in days instead of quarters. Most product people spend a career writing about the product — you'd rather make it • Speed is the part of the job you enjoy, not the part you survive • You'd rather ship something imperfect to ten enterprise customers this month than a perfect thing next quarter • You don't believe in six-month roadmaps either. A plan written in January is fiction by March, and you'd rather re-plan every few weeks and be right • You love data. Not dashboards about data — the real thing. You'd open the raw utilization numbers yourself before asking anyone for a summary, and you've been known to find the bug in them • Hard scale problems are the fun part. Billions of rows, queries that have to come back before the coffee's poured, and a correctness bar that doesn't move • You want to sit across from the sharpest platform and Kubernetes people on earth. They're opinionated, they'll argue with you, they'll be right about half the time — and you'd rather have that conversation than a polite one • When something brand new and undefined turns up — a provider nobody has integrated, a gateway nobody has modelled, a cost structure nobody has seen — you want it on your desk, not someone else's • You already use AI to do real work, not to look busy. You've built with it, and you can tell output from value • You're comfortable being the most junior person in one room and the most senior in the next, on the same day And probably not, if: • You need a stable roadmap, a quiet quarter, and a clear lane • Your favorite part of product is the process • You want to be handed requirements, or hand them off • You're looking for a "strategic role" — meaning a seat further from the building • Your AI experience is mostly having opinions about AI • "It's not defined yet" reads to you as a problem rather than an opening What you bring • 3+ years in product roles is a must. Devops/SRE/strong data background is a major plus. • Technically hungry. You go deeper than the job strictly requires, and when you hit something you don't know — how a scheduler places pods, how a new provider bills, how a metrics pipeline drops data — your instinct is to go learn it this week, not to find someone who already knows • You can take a messy data question and turn it into a detection a customer trusts enough to act on • Independent by default. You don't wait to be unblocked, prioritized for, or told what happens next — you find out and go You don't need to have done this exact job before. Nobody has. We care more that you can learn a system faster than anyone expects you to. How to apply Skip the cover letter. Tell us about something you shipped that forced you to understand a system nobody else on the team wanted to touch. Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. About the Role As a Senior Full-Stack Engineer at Finout, you’ll be at the forefront of building and scaling our product from the ground up. You’ll work closely with your team, as well as a product and product designer, to design and implement both the front-end user experience and back-end logic that powers our platform. You’ll play a key role in creating modern UI components, building API services, and contributing to core architectural decisions in a high-impact, low-ego team environment. What you’ll do: • Design and implement scalable Senior Full Stack Engineer features and components using NodeJS and React • Build and maintain robust APIs and data pipelines to support the platform • Collaborate closely with product, design, and engineering leadership on architecture and UX • Participate in code reviews, testing, CI/CD, and overall platform improvements • Bring creativity, curiosity, and best practices to everything you build What We’re Looking For: • 5+ years of experience in software engineering. • Proficiency in NodeJS and React (or deep JavaScript expertise) • Strong understanding of both frontend and backend systems • Autodidact and self-driven with a problem-solving mindset • Excellent communication and collaboration skills • Comfortable in a fast-paced, startup environment • Academic degree in Computer Science (or similar) • Familiarity with CI/CD pipelines and modern DevOps practices is a plus Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. About the Role As a Senior Software Engineer at Finout, you’ll play a key role in building and scaling the data infrastructure that powers our platform. You’ll work on complex, large-scale data systems that collect, process, and transform massive volumes of cloud and SaaS usage data into reliable, actionable insights for our customers. You’ll take ownership of core data pipelines and backend services, tackle challenging problems in distributed systems, and drive improvements in performance, reliability, and scalability. Working closely with engineering teams and other business units, you’ll contribute to architectural decisions and help shape the next generation of Finout’s data platform. This is a high-impact role for an engineer who enjoys solving complex data engineering challenges, working with modern cloud and big data technologies, and building resilient systems that operate at scale. Responsibilities: • Own, enhance, and improve Finout’s core platform • Build and maintain systems for collecting and processing metrics from client environments • Focus on system efficiency and resilient infrastructure • Integrate well-known SaaS platforms into Finout’s big data repository (e.g., major cloud providers, Datadog, Snowflake) • Optimize Spark and Airflow processes • Contribute to data design and platform architecture while working closely with other business units and engineering teams • Face the challenges of testing and monitoring large-scale data pipelines Requirements: • 7+ years of experience developing and operating large-scale, high-availability systems • 7+ years of experience with Python (Experience with Go is a plus) • Experience working with cloud environments (AWS preferred) and big data technologies (Spark, Airflow, S3, Snowflake, EMR) • Familiarity with metrics systems (e.g., Prometheus, cloud monitoring APIs) or time-series data – a strong plus • Autodidact, self-motivated team player with strong communication skills and a passion for solving challenges at scale Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.

Cloud is now one of the biggest business expenses and one of the hardest to manage. At Finout, we’re not just shedding light on spend—we’re giving companies the power to make smarter, faster, and more strategic decisions about the cloud. We’re trusted by brands like The New York Times, Wiz, Elastic, SiriusXM, and Lyft, and backed by top-tier investors with over $85M raised. In just 4 years, we’ve grown to 100+ people across Tel Aviv and New York—and we’re just getting started. If you’re looking to build something big, solve real problems, and grow fast -we’d love to meet you. We love AI and use it to automate our HR processes as much as possible. But technology is only part of the equation - we're looking for someone who brings the human touch to everything we do. :) Someone who can make the employee journey feel personal, seamless, and well taken care of, while bringing curiosity, technology, and fresh thinking into the way we work. At Finout, we believe great employee experiences are built through the small things as much as the big ones. We're looking for a People Operations Specialist who loves people, takes ownership, and is excited about using technology and AI to make HR smarter, simpler, and more scalable. You'll be part of our HR team, working closely with employees and managers across Israel, the US, and the UK. This is a hands-on role for someone who enjoys both the human side of HR and the operational details that make everything work. You'll report to the VP HR and own our global people operations processes throughout the employee lifecycle, from hire to retire. What you'll do • Own the employee journey: Manage onboarding, offboarding, employment changes, leaves, and other employee lifecycle processes from start to finish. • Keep our people operations running: Maintain accurate employee records, documents, and workflows in HiBob and other HR systems. • Be the go-to person: Support employees with HR-related questions, benefits, documents, and day-to-day people processes • Coordinate global payroll: Own the HR side of payroll coordination across Israel and the US, ensuring that new hire information, approved compensation changes, employee status changes, leaves, and terminations are accurately documented and communicated to Finance on time. Partner with Finance and external payroll providers to resolve employee-related questions and ensure a smooth payroll process, while Finance owns payroll calculations, processing, and payments. • Experience managing end-to-end recruitment processes : including sourcing, candidate screening, and working closely with hiring managers. • Own employee benefits: Manage employee benefits processes across Israel and the US, with particular ownership of US employee benefits. Coordinate enrollments, changes, life events, and terminations with external providers, support employees with benefits-related questions, and ensure accurate documentation and timely follow-up. • Bring technology into HR: Explore and implement new tools, AI-powered workflows, and automations that improve efficiency, reduce manual work, and create a better employee experience. • Think beyond the process: Identify gaps, challenge existing ways of working, and proactively suggest smarter, more scalable solutions. • Work across borders: Partner with employees, managers, Finance, Operations, IT, and external providers across Israel and the US. • Ability to balance recruiting responsibilities with ongoing People Operations ownership, adapting to the company's hiring priorities. What you'll bring • 4+ years of experience in People Operations, HR Operations, or a similar role. • Experience owning employee lifecycle processes independently.( hire to retire ) • A genuine passion for technology, innovation, and AI, with curiosity to explore new tools and apply them to real business challenges. • A proactive, tech-savvy mindset and the ability to identify opportunities for automation and process improvement. • Experience working with global teams, including the US market, and an understanding of the cultural and operational differences involved. • Excellent English communication skills, both written and spoken, at a very high professional level. • Experience coordinating payroll-related employee data and changes across multiple countries, working closely with Finance and external payroll providers.. • Strong attention to detail and the ability to manage multiple moving parts without losing the human touch. • Excellent interpersonal skills and a genuine passion for employee experience. • Experience with HR systems; HiBob is a strong advantage. • Hands-on experience with US employee benefits administration, including enrollments, employee changes, and coordination with benefits providers is a plus. • Recruiting experience is a plus. • Bachelor's degree in Human Resources, Psychology, Behavioral Sciences, Business Administration, or a related field. Our Values We're a hybrid company with a big vision and a startup soul. If you’re excited to help shape the future of cloud infrastructure and join a team that cares deeply about what (and how) we build—we’d love to meet you.