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Location: Belgrade; Tbilisi; Madrid; Valencia; Poland; Lisbon; Riga; Tallinn; Yerevan Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an experienced QA automation engineer who will join our team and work on improving quality of our constantly growing product. Responsibilities: Write and maintain automated tests for Web, Android, Windows, iOS, macOS platforms applications Collaborate with the product, development and delivery teams Monitor and report of tests progress utilizing modern tools and methods Proactively share best practices, ideas and knowledge with the team Requirements: 3+ years of experience in test automation (at least 2 years with web and api automation) Programming skills with Java and Kotlin (or willing to learn Kotlin) Proficient in automation tools such as Selenium, Appium, and testing frameworks like JUnit, TestNG Experience with REST, GraphQL, gRPC Hands-on experience with IntelliJ (or other JetBrains IDEs) Experienced with browser developer tools in Chrome, Safari, and Firefox, basic JavaScript knowledge Experience in writing clean, maintainable, and easily readable code Excellent communication and problem-solving skills Attention to detail and a passion for delivering high-quality results Upper-Intermediate English level Knowledge of Russian language As part of the hiring process, you will be asked to complete a test. Please note that you should be prepare working as a Contractor under B2B service agreement. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Taguig, National Capital Region Workplace: Hybrid About the Team Research & Insights is the team that helps Salmon understand its customers, market, and business opportunities. The CX/UX Research team sits within it and works side by side with Product and Design, turning customer evidence into better product decisions. As Salmon continues to scale, the need for hands-on, in-depth customer understanding grows with it. This team works closely with Product, Design, Marketing, Strategy, and Operations to make sure decisions are informed by real user behavior, not assumptions. We're looking for curious, hands-on researchers who enjoy getting close to users, uncovering insights, and helping teams act on them. About the Role As a CX/UX Researcher, you will expand hands-on research capacity across Salmon's product portfolio. You'll work closely with product designers and PMs to run studies from kickoff to readout, including interviews, usability tests, and journey mapping, and help teams make decisions based on evidence. This is a hands-on role. You'll run your own fieldwork, recruit participants, moderate sessions, and write reports. You'll also help build the research infrastructure: intake standards, a methods library, and a research repository the whole product team can use. This is an excellent opportunity for a researcher who wants to see their work shape products used by real customers, and to help build a research function from an early stage. What You'll Do Research Planning & Execution - Plan and run moderated usability tests, in-depth interviews, and quantitative/unmoderated studies - Own assigned studies end-to-end: recruitment, moderation, analysis, and reporting - Maintain a research backlog together with the research lead, and align priorities with product and design teams Participant Recruitment & Fieldwork - Recruit and screen participants, and manage logistics including panel vendors, screeners, and incentives - Run virtual and in-person fieldwork and ensure a positive participant experience - Conduct field research directly with users, which is expected and resourced Collaboration with Product & Design - Work closely with product designers and PMs: participate in team rituals, discuss research priorities, and align on study scope and timing - Facilitate synthesis workshops, insight reviews, and journey mapping sessions with design and product teams - Negotiate research priorities with stakeholders, and push back when needed Journey Mapping & Insights Reporting - Build and maintain customer journey maps for prioritized product areas - Write clear, decision-ready reports and present findings to product teams - Drive change based on research: track whether insights are actioned, follow up with teams, and escalate blockers to the research lead Research Operations - Contribute to research repository standards, the intake process, and the methods guild - Help build the processes and tools that make research faster and more reusable across the product team What Makes You a Strong Fit - 2+ years in UX research for consumer products - Track record of running moderated tests and in-depth interviews independently - Experience facilitating workshops and collaborative sessions with design and product teams - Ability to discuss and negotiate research priorities with PMs and designers, and comfort pushing back when needed - Experience creating journey maps, personas, or service blueprints - Proven ability to drive change based on research: you track whether findings are actioned, not just delivered - Comfortable operating with limited process; you help build it rather than wait for it - Clear, concise writing for non-research audiences - Strong written and verbal communication skills in both English and Filipino/Tagalog Knowledge & Domain Expertise Interest or familiarity with: - UX and customer experience research - Qualitative and quantitative research methodologies - Customer journey mapping and service design - Research operations and repository management - Evidence-based product decision-making Bonus - Experience in credit, lending, payments, or fintech - Exposure to banking, technology, or consumer-focused industries - Experience working with panel vendors and research recruitment platforms Why Join Us? What We Create - Modern banking services for millions of Filipinos - Cutting-edge financial products powered by global best practices and AI - A licensed neobank on a mission to become a leading fintech company in Southeast Asia - Backed by $200M+ from ADQ, World Bank Group, and leading global investors - A company where products are built and launched in months, not years - A platform with significant opportunities for growth and international expansion What We Offer - Work on products used by real customers in a fast-growing Philippine fintech - Direct access to users, with field research expected and resourced - A small team where research has visible impact on product decisions - The chance to help build the research function from an early stage - Competitive compensation and support for professional development - Medical insurance and wellness benefits - A passionate, international team with opportunities for international exposure - Modern office in Manila, Philippines - Regular team events and activities

= Разработка и реализация стратегии привлечения B2B-клиентов в целевых вертикалях (iGaming, Betting, Crypto, Forex, High-Risk мерчанты). - Построение, оптимизация и регламентация процессов B2B-продаж, настройка сквозной воронки в CRM (AmoCRM) и прогнозирование выручки.

Выявление процессов, которые можно автоматизировать ИИ-агентами: интервью с заказчиками, анализ текущей работы, оценка применимости и ожидаемого бизнес-эффекта. Описание сценариев агента: входные данные, доступные действия, бизнес-правила, ожидаемые результаты, уточнения у пользователя и условия передачи задачи человеку.

-Проектировать и разрабатывать микросервисы ядра на Java 17 / Micronaut (без Spring). -Работать с event-driven-обменом: вся межсервисная связь — через брокер сообщений, async-first, database-per-service, eventual consistency.

Responsibilities Execute audio, display, and video ad campaigns across multiple platforms, including DV360, The Trade Desk, Amazon DSP, and others, under the guidance of senior team members. Troubleshoot basic ad-serving and campaign-related issues.

This leader owns customer enablement across Alloy. It is a role that builds and runs the program behind enablement: capturing knowledge continuously, packaging it for the right audience at the right moment, running hands-on customer training sessions, and measuring what works.

Задачи: — Руководство проектированием, разработкой и внедрением on-premises MLOps решений для поддержки доставки моделей машинного обучения — Сотрудничество с дата-сайентистами и разработчиками для создания масштабируемых и эффективных конвейеров данных, систем обучения и деплоя моделей — Разработка и поддержка инструментов мониторинга и управления для обеспечения надежности и производительности MLOps инфраструктуры — Взаимодействие с заинтересованными сторонами для понимания их потребностей в машинном обучении и разработки соответствующих решений — Отслеживание новейших трендов и технологий в области MLOps, машинного обучения и искусственного интеллекта, обмен знаниями с командой — Наставничество младших членов команды и помощь в развитии их навыков в MLOps — Поиск и устранение проблем пользователей Требования: — Опыт работы 5+ лет в MLOps, разработке ПО, инженерии данных или смежных областях — Сильные навыки программирования на современных языках (Java, Scala, Python, Kotlin) — Практический опыт работы с Kubernetes: деплой и эксплуатация рабочих нагрузок, отладка сбоев, работа с основными концепциями (Deployments, ConfigMaps/Secrets, Services, resource limits) — Отличные коммуникативные и командные навыки — Ценность простоты и производительности кода Будет плюсом: — Понимание жизненного цикла ML-проектов — Опыт работы с MLOps платформами, такими как Kubeflow или MLFlow — Опыт с ML-фреймворками: scikit-learn, LGBM, Tensorflow, PyTorch — Опыт работы с Big Data инструментами: Spark, S3, Hadoop — Глубокие знания контейнеризации и оркестрации (Docker, Kubernetes) — Опыт DevOps и CI/CD практик — Опыт создания и масштабирования инструментов для обслуживания моделей, включая построение API с жесткими SLA — Страсть к инженерной стороне машинного обучения и масштабированию — Опыт проектирования и построения MLOps инфраструктуры, включая конвейеры данных, системы обучения и деплоя моделей, а также инструменты мониторинга и управления.

-Разработка нового и доработка существующего функционала на базе 1С Предприятие. -Написание функционала Web-service.

Location: Almaty, Kazakhstan Workplace: OnSite Software Engineer, Infrastructure Almaty, Kazakhstan Build the shared infrastructure that helps Higgsfield’s product teams ship quickly and run reliable services. You’ll own problems from finding the bottleneck to shipping a solution and supporting it in production. What you’ll do - Build shared services for queues, job scheduling, caching, configuration, and service communication. - Improve concurrency limits, resource allocation, and recovery for long-running media workloads. - Make database access, migrations, and connection management safer and faster. - Simplify service setup, testing, deployment, and production debugging. - Improve observability, investigate incidents, and reduce infrastructure cost per completed job. - Work directly with product engineers, ship focused improvements, and measure the results. Our release cycle is days, not quarters. Required - Experience running production systems on Kubernetes (K8s) and AWS, including deployments, scaling, networking, and troubleshooting. - Strong software engineering skills: you build shared services, tools, and automation that other engineers use. - Experience with databases, queues, and distributed systems, including performance debugging, safe rollouts, and recovery. - A difficult production problem you owned from an unclear starting point to a working solution. - Ability to set priorities, make practical tradeoffs, remove blockers, and ask for help when needed. - Clear communication, openness to feedback, and knowledge sharing so others can operate and extend your work. Nice to have - Cloudflare. - Infrastructure as code. - PostgreSQL, Redis, or event-streaming systems. - High-throughput media pipelines or AI workload orchestration. Interview process 1. Recruiter screen: expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, your decisions, and the results. 3. Additional technical interview, if needed. 4. Product fit interview: investigate a team’s bottleneck and plan a practical improvement, adoption, and safe rollout. 5. Offer. What we offer Competitive base pay in USD, equity, relocation support, and ownership of infrastructure used across our engineering teams.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution. What you'll actually do - Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior. - Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services. - Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions. - Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed. - Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture. - Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer problems where requirements stay stable after launch. - You prefer work centered on training models or producing analysis rather than building and operating backend services. Nice to have - Fraud prevention, payments risk, or platform abuse experience. - Integrating risk-scoring services or building rules engines and rate limiters. - Case management, appeals, and risk operations tooling. - Familiarity with Stripe. - Experience building real-time scoring, graph-based account linkage systems. - Python/Go experience. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

🔥Проект - Building and scaling a multi-asset trade and portfolio management platform with strong backend focus including designing, developing, and maintaining backend services, APIs, and data pipelines.

Identify, generate, qualify, and close new business for customers and prospects in a defined territory. Responsible for managing the full sales lifecycle, and building the go-to-market.

Own the value plan for each account in your portfolio, connecting the business problem that led the customer to buy Mixpanel with the outcomes they measure. Build relationships with business and technical stakeholders, aligning Mixpanel's capabilities to what customers care about most.

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are coming together with a shared mission: helping organizations unlock the full value of their data. Together we're building the data infrastructure layer that moves, transforms, and adds context to data — from the moment it lands to the point where teams and AI systems depend on it. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products our customers know and trust. It's a good time to join a company with the scale, talent, and technology to help more organizations put their data to work. About the Role Product Finance covers two things: how our products perform, and what they cost to build, run, and support. This role owns the cost and investment side, as the finance partner to the Product and Customer Support organizations. You'll own the operating expense P&L for both organizations — headcount and hiring plans, vendor and program spend, annual planning, monthly close, and budget-vs-actuals — and work with those leaders on where to spend and what to trade off. You'll also build our view of product investment at the portfolio level: what we spend behind each product line, what it returns, and what that means for how the roadmap gets funded. That includes bringing cost of revenue and unit economics into the picture, so we can talk about product margin rather than just product spend. This is how we'll decide where to invest and where to pull back. You'll build our cost-to-serve view as well — support cost by account and segment, and the economics of deflection and AI-assisted support. Expect close work with Product Managers, Support and Engineering leaders, Pricing, Corporate FP&A, and Accounting, and regular exposure to senior leadership as we scale toward public company readiness. This is a full-time, hybrid position based in our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Serve as the finance business partner to Product and Customer Support leadership — own their budgets, partner on spend decisions, and flag risks, trade-offs, and reallocation opportunities early. Own the annual operating plan for both organizations, including headcount and hiring plans, vendor and program spend, and quarterly reforecasts. Own monthly close, accruals, and variance analysis — budget vs. actuals with clear driver explanations and forward-looking implications. Build the portfolio view of product investment: what we spend behind each product line, what it returns, and what that implies for roadmap funding and resource allocation. Bring cost of revenue and product unit economics into that view, working with the teams that own the underlying cost data. Build cost-to-serve analytics — support cost by account and segment, and the economics of deflection and AI-assisted support. Build business cases for new product investments and major roadmap decisions, including the economics of retiring or consolidating products, and provide Pricing with the unit economics behind packaging and monetization changes. Co-own the Product Monthly and Quarterly Financial Reviews with the product top-line lead, so cost and performance are presented together. Improve how this work gets done — better data models, less manual assembly, and AI applied to recurring analysis. What We're Looking For 4+ years in FP&A, strategic finance, product finance, investment banking, or consulting, including ownership of a model or forecast that others relied on. Experience owning an operating expense budget, or partnering with a non-finance organization on its spend. Strong modeling skills across both driver-based revenue forecasts and operating expense and headcount models. Working knowledge of software and subscription economics — ARR, NRR, ARPA, expansion, gross margin — ideally in a usage-based business. Comfort working directly with large and complex datasets. SQL proficiency strongly preferred. Ability to turn analysis into a clear recommendation and present it to Product, Support, and senior leadership. Interest in how software gets built and what it costs to run. Nice to Have Product or Engineering finance partnership at a software, data infrastructure, or developer tools company. Hands-on product margin, cost of revenue, or cost-to-serve analysis. Experience supporting a Customer Support, Services, or other cost-to-serve organization. Usage-based pricing, packaging, or monetization modeling. Planning and BI tools (Pigment, Looker, Tableau, Sigma) and lightweight automation in Python or SQL. Experience through a period of rapid scaling or IPO preparation. #LI-JG1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $126,220 — $151,470 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are coming together with a shared mission: helping organizations unlock the full value of their data. Together we're building the data infrastructure layer that moves, transforms, and adds context to data — from the moment it lands to the point where teams and AI systems depend on it. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products our customers know and trust. It's a good time to join a company with the scale, talent, and technology to help more organizations put their data to work. About the Role Product Finance covers two things: how our products perform, and what they cost to build, run, and support. This role owns the cost and investment side, as the finance partner to the Product and Customer Support organizations. You'll own the operating expense P&L for both organizations — headcount and hiring plans, vendor and program spend, annual planning, monthly close, and budget-vs-actuals — and work with those leaders on where to spend and what to trade off. You'll also build our view of product investment at the portfolio level: what we spend behind each product line, what it returns, and what that means for how the roadmap gets funded. That includes bringing cost of revenue and unit economics into the picture, so we can talk about product margin rather than just product spend. This is how we'll decide where to invest and where to pull back. You'll build our cost-to-serve view as well — support cost by account and segment, and the economics of deflection and AI-assisted support. Expect close work with Product Managers, Support and Engineering leaders, Pricing, Corporate FP&A, and Accounting, and regular exposure to senior leadership as we scale toward public company readiness. This is a full-time, hybrid position based in our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Serve as the finance business partner to Product and Customer Support leadership — own their budgets, partner on spend decisions, and flag risks, trade-offs, and reallocation opportunities early. Own the annual operating plan for both organizations, including headcount and hiring plans, vendor and program spend, and quarterly reforecasts. Own monthly close, accruals, and variance analysis — budget vs. actuals with clear driver explanations and forward-looking implications. Build the portfolio view of product investment: what we spend behind each product line, what it returns, and what that implies for roadmap funding and resource allocation. Bring cost of revenue and product unit economics into that view, working with the teams that own the underlying cost data. Build cost-to-serve analytics — support cost by account and segment, and the economics of deflection and AI-assisted support. Build business cases for new product investments and major roadmap decisions, including the economics of retiring or consolidating products, and provide Pricing with the unit economics behind packaging and monetization changes. Co-own the Product Monthly and Quarterly Financial Reviews with the product top-line lead, so cost and performance are presented together. Improve how this work gets done — better data models, less manual assembly, and AI applied to recurring analysis. What We're Looking For 4+ years in FP&A, strategic finance, product finance, investment banking, or consulting, including ownership of a model or forecast that others relied on. Experience owning an operating expense budget, or partnering with a non-finance organization on its spend. Strong modeling skills across both driver-based revenue forecasts and operating expense and headcount models. Working knowledge of software and subscription economics — ARR, NRR, ARPA, expansion, gross margin — ideally in a usage-based business. Comfort working directly with large and complex datasets. SQL proficiency strongly preferred. Ability to turn analysis into a clear recommendation and present it to Product, Support, and senior leadership. Interest in how software gets built and what it costs to run. Nice to Have Product or Engineering finance partnership at a software, data infrastructure, or developer tools company. Hands-on product margin, cost of revenue, or cost-to-serve analysis. Experience supporting a Customer Support, Services, or other cost-to-serve organization. Usage-based pricing, packaging, or monetization modeling. Planning and BI tools (Pigment, Looker, Tableau, Sigma) and lightweight automation in Python or SQL. Experience through a period of rapid scaling or IPO preparation. #LI-JG1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $118,331.50 — $142,003.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.