Вакансии

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі. Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.  Ця позиція — чудова можливість безпосередньо впливати на ефективність складської логістики в міжнародній технологічній компанії з власним виробництвом, трансформуючи реальні процеси на складі у сучасну WMS, яка робить роботу працівників швидшою, простішою та менш схильною до помилок. Обов'язки: Польовий аудит та вивчення реалій складу (Gemba Walks): Постійне спостереження за роботою вантажників, комплектувальників та комірників на складі. Виявлення зон фрустрації персоналу, вузьких місць, зайвих переміщень та неінтуїтивних дій. Опис поточної архітектури процесів As-Is (приймання, розміщення, відбір, пакування, відвантаження, інвентаризація) та фіксація системних розривів між реальним рухом вантажів і статусами в WMS. Проектування цільової моделі процесів (To-Be) та редизайн логіки WMS: Проектування нової логіки складських алгоритмів: динамічне розміщення, хвильовий/батч-пікінг, оптимізація маршрутів збирача по складу, консолідація перед відвантаженням. Формування чітких функціональних вимог (BRD/FRD), User Stories та Acceptance Criteria для команди розробки WMS. Кардинальне спрощення роботи з ТЗД (Zebra UX/UI Redesign): Переосмислення кожного сценарію на екрані сканера за принципом «захисту від помилки» (Poka-Yoke) : мінімум кліків, великі зрозумілі поля, блокування помилкових сканувань, чітка індикація. Ліквідація зайвих підтверджень і ручного вводу — перехід на виключно керований системою процес (System-Directed Warehousing: система каже, куди підійти і який саме штрихкод зісканувати). Складання містка між складом та розробкою: Переклад скарг і болів складського персоналу в точні технічні вимоги та бізнес-логіку для IT-розробників. Пріоритизація беклогу доробок разом із Директором з логістики: від критичних операцій до глибинних модулів автоматизації. Тестування, впровадження та керування змінами: Організація тестування нових релізів безпосередньо «в руках» у вантажників на майданчику до моменту викатки в бойову експлуатацію. Створення простих візуальних інструкцій. Вимірювання успіху реформи за метриками: час навчання нового працівника (Time to Onboard), швидкість відбору замовлень (Picks per Hour), відсоток помилок відбору (Error Rate). Вимоги до кандидата: Досвід та експертиза в WMS: Від 3–4 років досвіду в ролі Business Analyst, Systems Analyst або Process Lead у проектах автоматизації складської логістики (3PL, ритейл, великі RDC, виробнича логістика). Глибоке розуміння того, як влаштовані сучасні WMS-системи «під капотом» (стратегії розміщення, зональний відбір, маршрутизація, інтеграція з конвеєрами/ваговими станціями/ERP). Практика роботи з мобільними сканерами (Industrial Mobility): Реальний досвід проектування або налаштування інтерфейсів для терміналів збору даних на базі Android / Zebra (серії TC/MC) . Розуміння принципів ергономіки інтерфейсів ТЗД (UI/UX для складських працівників, робота в рукавичках, звукові/візуальні тригери, зменшення когнітивного навантаження на оператора). Аналітичний інструментарій: Бездоганне володіння BPMN 2.0 для візуалізації процесів; вміння декомпозувати складний процес до рівня атомарних операцій працівника. Вміння писати кришталево чисті User Stories, Use Cases та критерії приймання (Gherkin/Given-When-Then — як перевага). Базове розуміння SQL (для самостійної перевірки даних у таблицях WMS без смикання розробників). Мовні компетенції: Українська (Вільне володіння) Англійська (B2+): Написання технічної документації, спільна робота з міжнародними вендорами WMS чи інтеграторами. Soft Skills: «Hands-on» підхід: це не кабінетний аналітик, а фахівець, який проводить 50%+ часу перших місяців у касці та спецвзутті безпосередньо в рядах складу. Емпатія до кінцевого користувача (вантажника) та здоровий перфекціонізм у спрощенні складних речей. Пропонуємо: Роботу в комфортабельному офісі з бомбосховищем; Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія.City резидента; Заняття англійською; Медичне страхування; Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу); Різносторонні проєкти та професійне зростання; Драйвову команду; Можливість пропонувати та реалізовувати власні ідеї, які мають вплив на продукт і виробництво;

Задачи: — настраивать игровые параметры, балансные таблицы и внутриигровые офферы — считать акции и спецпредложения под разные сегменты игроков — проектировать и сопровождать механики и системы — анализировать, как изменения влияют на экономику и игровой опыт — проверять корректность настроек и ловить несоответствия до релиза — вести документацию и синхронить работу между отделами Требования: — сильный STEM (профильный университет) без опыта в индустрии (физика, математика, инженерия, точные/естественные науки) или геймдизайнер с опытом 1–3 года на близких задачах — баланс / экономика / системный дизайн, уверенный Excel — внимание к деталям в цифрах и критическое мышление — системность и самостоятельность в решении задач — играешь (хотя бы иногда) в мобильные или другие игры Условия: — формат работы: удалёнка, фуллтайм Инструменты: — Excel / Google Sheets. Данные достаём с помощью ИИ — писать SQL не нужно.

Location: Singapore Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a RevOps Systems Architect to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works. You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together. In this role, you will: - Administer our Salesforce org: object model, data architecture, user configuration, and platform health. - Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end. - Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows. - Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org. - Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution. REQUIREMENTS - Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration. - Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team. - SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic. - Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes. - Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: - Familiarity with dbt or modern data transformation tooling. - Experience with BI tools such as Sigma or Looker. LOCATION This role is based in Singapore We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. HR Tech & Systems builds and evolves the technology ecosystem that supports Rioters across the employee lifecycle. As a Staff AI & Data Engineer, HR Systems , you will bring deep AI and modern data engineering expertise to HR Systems, accelerating our evolution into an AI-augmented and data-enabled engineering organization. You will be a hands-on builder who designs and delivers AI agents, intelligent automations, data products, and reusable engineering capabilities across Riot's HR Technology ecosystem. You will combine strong AI and data engineering expertise with meaningful HR technology and domain knowledge. You will work across Workday, Databricks, and Riot's broader AI and enterprise technology ecosystem to turn trusted HR data and complex HR processes into secure, scalable solutions. Just as importantly, you will help build these capabilities within the existing team. You will pair with HR Tech engineers, establish practical engineering patterns, and provide hands-on mentorship in AI, Databricks, and modern development practices so the team can increasingly design, build, and support these solutions independently. You will partner closely with HR Tech & Systems, Enterprise Data & AI, Enterprise Software Engineering, HR COEs, and other Enterprise Technology teams. The role reports to the Senior Manager, HR Tech & Systems. Responsibilities: HR Technology Engineering & Automation Apply deep HR technology knowledge to discover opportunities and develop solutions across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics. Leverage Riot's evolving AI and automation ecosystem, including tools such as Workato, Windsurf, Devin, and TrueFoundry, to accelerate development and delivery. Evaluate opportunities within HR Technology’s workflow and portfolio of applications, including SaaS and custom systems, to establish best practices and introduce new AI-enhanced capabilities. Partner with HR stakeholders, product owners, and technical teams to identify high-value opportunities and determine when AI, automation, data products, integrations, or native platform capabilities are the most appropriate solution. Translate complex HR processes, policies, and operational needs into scalable technical solutions that improve Rioter experiences and business outcomes. Drive solutions through the full lifecycle from discovery and prototyping through implementation, adoption, measurement, and continuous improvement. AI & Agent Engineering Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, and APIs to make business-context-aware decisions and take actions within defined guardrails. Leverage Databricks AI capabilities—including Unity Catalog, model serving, and vector search—and select appropriate models, prompting, retrieval, and orchestration patterns based on business needs, performance, scalability, and cost. Establish evaluation, testing, and observability practices that ensure AI solutions are accurate, grounded, reliable, safe, measurable, and production-ready. Design secure and responsible AI solutions with appropriate identity-aware access, human oversight, transparency, auditability, and controls for sensitive HR data and workflows. Partner with Enterprise Data & AI and Security to establish reusable AI patterns, standards, and guardrails, rapidly evaluating emerging capabilities and scaling those that demonstrate measurable business value. Data Engineering & Architecture Design scalable HR data pipelines, products, and domain models on Databricks using medallion architecture and Unity Catalog to provide governed, secure access to trusted HR data. Integrate structured and unstructured data across Workday, Databricks, enterprise applications, and AI services using MCPs, APIs, events, pipelines, and modern orchestration patterns. Establish data products, contracts, semantic models, and metadata that define ownership, business meaning, quality, lineage, freshness, and appropriate use of HR data. Ensure HR data is fit for analytics and AI through clear source-of-truth definitions, standardized business concepts, and strong data quality, privacy, security, and governance practices. Design resilient architectures that appropriately balance scalability, performance, reliability, and cost in partnership with Enterprise Data & AI and system owners. Team Enablement & Engineering Excellence Mentor and pair with HR Tech engineers to build AI agents, Databricks solutions, data products, and automations, growing sustainable AI and data engineering capability across the team. Establish reusable architectures, development patterns, documentation, and engineering standards that enable the team to independently build and scale solutions. Partner with the HR Tech & Systems Development Lead to establish AI/agent observability, reliability, adoption metrics, and SLA/SLO practices while optimizing architecture, model usage, and compute for performance and cost. Partner with technical leaders across Enterprise Technology to align HR Tech solutions with broader architecture and engineering standards. Required Qualifications: 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience, with demonstrated experience designing and delivering production solutions in enterprise environments. Demonstrated hands-on experience building and deploying generative AI and/or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures. Demonstrated experience designing and delivering secure, resilient enterprise integrations within event-driven architectures using MCPs, APIs, webhooks, orchestration platforms, AWS lambda and relevant SaaS capabilities, with robust authentication, authorization, idempotency, retry, and error-handling patterns. Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI. Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data. Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow. Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience. Desired Qualifications: Deep hands-on experience with Workday, including integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture. Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures. Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms. Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability. Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Poland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia Workplace: Remote Location: Remote, Europe Time Zone Start Date: ASAP Employment Type: Full-Time Team: Core Compute & Distributed Systems Language: English ABOUT THE ROLE We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform. You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services. You’ll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code. This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment. WHAT YOU’LL DO - Lead, mentor, and grow a high-performing team of distributed systems and backend engineers - Drive the technical direction and execution of core P2P, compute, and distributed platform systems - Stay hands-on with architecture, design, implementation, and technical problem-solving - Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution - Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution - Champion reliability, resilience, observability, and production readiness across the platform - Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis - Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies - Run effective 1:1s, retrospectives, performance reviews, and career development conversations - Translate technical and business priorities into clear execution plans and measurable outcomes - Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement WHAT WE’RE LOOKING FOR - 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role - Proven experience leading teams building and shipping distributed systems or infrastructure software to production - Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems - Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust - Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design - Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure - Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure - Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing - Strong understanding of Linux systems and networking fundamentals - Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management - Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making - Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment NICE TO HAVE - Experience with distributed storage, object storage, distributed filesystems, or data integrity systems - Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines - Experience with erasure coding, sharding, garbage collection, or large-scale data migration - Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure - Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing - Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools - Experience working with decentralized, blockchain, Web3, or other P2P architectures WHY THIS ROLE MATTERS - Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage - Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work - Stay hands-on: Continue solving complex technical problems while growing as an engineering leader - Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale - Influence architecture: Make meaningful technical decisions rather than simply managing delivery - Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams - Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture HOW WE WORK We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization. Our engineering culture emphasizes: - RFCs and well-documented technical decisions - High automated test coverage and rigorous production validation - Pragmatic, maintainable code - Strong observability and operational ownership - Regular production releases - Continuous improvement through retrospectives and post-incident reviews Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Austin, in-person About inKind inKind is transforming restaurant financing and customer engagement through an innovative fintech platform that provides restaurants with growth capital while helping consumers discover and enjoy dining experiences nationwide. As inKind continues to scale, our Finance organization is increasingly powered by technology, automation, and interconnected data. We’re looking for a Finance Systems & Automation Analyst who can help operate, troubleshoot, and improve the systems and workflows behind our accounting and financial processes. Position Summary This is not a traditional accounting role, and we are not looking for a software engineer. We are looking for a systems-oriented problem solver who is naturally good at understanding how things work, breaking complicated processes into logical steps, working with financial data, and figuring out what is happening when something doesn’t work as expected. You will sit at the intersection of Finance, Accounting, Data, and Technology , helping operate and improve the automated workflows that support our financial infrastructure. A significant portion of the role will involve working in NetSuite , alongside tools such as Google Sheets, SQL, internal data sources, integrations, and third-party platforms. You do not need to be an expert programmer. You do need to be comfortable looking at an unfamiliar process, dataset, formula, query, or piece of logic and methodically figuring out how it works. The ideal person has strong numerical intuition, exceptional attention to detail, and the curiosity to ask not only “Is this number correct?” but also “Where did this number come from, how did it get here, and how could we make this process better?” What You Will Do Finance & Accounting Operations Operate and maintain recurring accounting and finance workflows, including cash transaction categorization, journal entry preparation and uploads, reconciliations, and weekly/monthly reporting processes. Work extensively within NetSuite to support accounting operations, investigate issues, manage imports, and maintain accurate financial information. Manage the inputs and outputs of automated finance processes, including data validation, CSV preparation and uploads, exception handling, and transaction-level corrections. Adapt established processes to accommodate one-off transactions, new business scenarios, and evolving Finance requirements. Support weekly and monthly accounting close activities and maintain the automated workflows supporting those processes. Systems, Data & Automation Monitor automated financial data flows from source systems through accounting, forecasting, and reporting outputs. Ensure the continued availability, completeness, and accuracy of transaction history, balances, forecasts, and other financial information used across the organization. Build, maintain, and troubleshoot automated financial workflows across accounting systems, internal data sources, and third-party platforms. Investigate issues across Google Sheets logic, SQL queries, CSV imports, integrations, NetSuite, and other financial systems. Trace data through multiple systems to identify where errors or inconsistencies originate. Independently resolve routine systems and data issues while identifying the source, scope, and appropriate escalation path for more complex problems. Process Improvement & Problem Solving Break complex financial processes into clear, logical steps and identify opportunities to simplify or automate them. Understand existing formulas, queries, scripts, integrations, and workflows well enough to troubleshoot and improve them. Identify repetitive manual processes that could be standardized, automated, or eliminated. Support the implementation of new products, systems, and business processes as they interact with Accounting and Finance. Create ad-hoc reporting, tools, and analyses to answer new business questions. Partner across Finance, Accounting, Product, Engineering, Data, and other teams to translate business requirements into practical solutions. Document processes and workflows so that systems remain understandable, scalable, and maintainable as the company grows. What We Are Looking For Strong systems thinking — you naturally break problems into inputs, rules, dependencies, outputs, and exceptions. Strong numerical intuition and an ability to recognize when financial data does not make sense. Comfort working with large datasets and identifying patterns, anomalies, and inconsistencies. Ability to approach ambiguous problems with limited context and determine what questions need to be answered first. Strong attention to detail without losing sight of the broader process or business objective. Comfort learning unfamiliar systems, tools, formulas, and technical concepts independently. Ability to read and reason through existing formulas, queries, or code even if you would not consider yourself a developer. Ability to troubleshoot systematically rather than relying on trial and error. Strong communication skills and the ability to explain technical or financial processes in straightforward terms. Tools & Technical Experience Experience with some combination of the following is valuable: NetSuite or another ERP/accounting platform Advanced Google Sheets or Excel SQL and relational data Large structured datasets Financial reporting and reconciliation APIs, integrations, or third-party data connectors Automated workflows or low-code automation tools Financial or accounting data structures Deep expertise in every tool is not required . We care more about your ability to understand unfamiliar systems, reason through problems, and learn quickly than expertise in a particular programming language. Salary: $80,000 - $90,000 DOE + Benefits Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Задачи: – Администрирование корпоративных серверов: Linux и Windows, настройка и устранение неполадок. – Настройка сети, устранение неполадок. – Администрирование систем виртуализации. – Создание и оптимизация облачной инфраструктуры. – Администрирование облачной экосистемы Microsoft. – Создание отказоустойчивых систем. – Масштабирование под нагрузкой. – Защита приложений, оптимизация запросов и балансировка нагрузки. – Настройка CI/CD. – Мониторинг инфраструктуры и реагирование на инциденты. Требования: – Успешный опыт работы системным администратором в течение 2 лет и/или в сфере DevOps. – Отличное знание Linux, CentOS/Debian. – Отличное знание Windows. – Глубокие знания сетевого оборудования (маршрутизаторы, межсетевые экраны, коммутаторы). – Опыт работы с облачными технологиями (Azure, AWS и др.). – Опыт администрирования систем виртуализации Hyper-V и/или ESXi. – Опыт администрирования веб-серверов, IIS, Apache, NGINX. – Контейнеризация и оркестровка (Docker, Kubernetes). – Инфраструктура как код (Terraform). – Мониторинг (Zabbix, Prometheus). – CI/CD – GitLab или аналогичный инструмент. – Разработка скриптов и автоматизация (Bash, PowerShell, Python). – Практический опыт работы с инструментами, использующими искусственный интеллект (Cursor, Claude, Codex и др.), и умение эффективно применять их в рабочих процессах DevOps.

Задачи: — Владение долгосрочной эволюцией одной или двух существующих игр с лояльной аудиторией, балансировка удовлетворенности игроков, вовлеченности и коммерческих показателей. — Проектирование и оптимизация систем прогрессии, экономики, событий и монетизации. — Создание привлекательных краткосрочных, среднесрочных и долгосрочных целей для удержания игроков на месяцы и годы. — Разработка и поддержка единой экосистемы LiveOps-событий, обеспечивающей совместную работу, а не конкуренцию за внимание игроков. — Проектирование систем для улучшения удержания, вовлеченности и монетизации при сохранении отличного игрового опыта. — Создание и поддержка моделей экономики, балансировка таблиц и симуляций. — Использование данных для выявления проблем с прогрессией, узких мест и возможностей монетизации. — Тесное сотрудничество с командами продукта, BI, UA, арт и разработки для улучшения производительности игры. — Анализ ключевых показателей (Retention, ARPDAU, Conversion, LTV, Engagement) для принятия решений по дизайну. — Ведение улучшений функций и событий через непрерывное тестирование, итерации и эксперименты. — Четкое донесение обоснований дизайна, компромиссов и рекомендаций команде. Требования: — Опыт 5+ лет в дизайне и эксплуатации успешных F2P мобильных игр. — Сильный опыт в системном дизайне, дизайне экономики, прогрессии и LiveOps. — Подтвержденный опыт работы с казуальными или головоломными играми. — Глубокое понимание мотивации игроков, механик удержания и дизайна монетизации. — Сильный аналитический склад ума, умение проектировать и оценивать A/B тесты, переводить данные в улучшения. — Уверенность в принятии решений на основе KPI и поведения игроков. — Самостоятельность и проактивность, способность выявлять возможности без указаний. — Быстрое понимание новых игр, систем и аудиторий, умение брать ответственность при переходе между проектами. — Продвинутые навыки работы с таблицами, опыт создания моделей балансировки, симуляций и прогнозирования. — Отличные коммуникативные навыки на английском языке, устные и письменные. — Страсть к созданию увлекательного и устойчивого игрового опыта. — Владение инструментами ИИ для повышения продуктивности, анализа и принятия решений. Условия: — Удаленная работа с возможностью посещать офис в Берлине. — Гибкий график работы. — Отсутствие культуры переработок и сверхурочных. — Щедрый отпуск. — Бюджет на обустройство домашнего офиса. — Бюджет на обучение и развитие. — Современное оборудование. — Ежемесячная помощь на питание. — Компенсация расходов на электричество и интернет. — Корпоративные сувениры. — Ежегодный корпоративный ретрит. Дополнительно: — Квалифицированные кандидаты должны пройти тест по дизайну.

Задачи: — поддерживать и сопровождать серверы заказчиков — поддерживать и администрировать разрабатываемые проекты — настраивать серверы под необходимый стек — автоматизировать рутинные процессы — участвовать в проектировании систем — готовить документацию и фиксировать свои действия — взаимодействовать с разработчиками и специалистами смежных направлений Требования: — умеете администрировать серверы под управлением Linux, в том числе российских ОС: Astra Linux, РЕД ОС и «Альт» — умеете администрировать веб-серверы — разбираетесь в сетевых технологиях: протоколах, способах подключения и модели OSI — понимаете принципы работы сетей: адресацию, NAT, маршрутизацию и VLAN — умеете реализовывать меры защиты информационных систем, обнаруживать угрозы и реагировать на них — знаете скриптовые языки: Bash, Python или Ruby — понимаете принципы CI/CD и умеете применять их на практике Преимущества: — опыт работы с Kubernetes и Docker — опыт работы с государственными проектами Условия: — работу в аккредитованной IT-компании — команду из шести системных администраторов и DevOps-инженеров — выбор, откуда работать: из дома или из офиса — пересмотр зарплаты раз в год по результатам работы — корпоративное обучение — необходимую для работы технику — корпоративного психолога — подписку на электронную библиотеку — корпоративные мероприятия Дополнительно: — будет испытательный срок — это время нужно, чтобы понять, подходим мы друг другу или нет

About the Role: You'll work alongside diverse, cross-border teams and supportive colleagues who share knowledge and want to see you succeed. Salesforce, Marketo, Salesloft, and a growing web of integrated SaaS tools run large parts of Wrike's business. As that footprint grows, we're hiring a dedicated analyst to bring stronger visibility, governance, and risk understanding to this business systems estate — partnering closely with the teams who own and use these tools. Your Impact: — Own security for Wrike's business systems SaaS tools such as Salesforce, Marketo, Salesloft, and the integrations that connect them, covering permissions, sharing rules, connected apps, OAuth scopes, and integrations. — Build and maintain clear visibility into what data lives in these systems, why it's there, and how it flows between integrated tools. — Partner with RevOps, Marketing, Legal and others to embed security into how these platforms are configured, extended, and connected to third-party services. — Translate security and business-continuity issues into clear, actionable terms for non-technical stakeholders. — Ensure business systems handling personal data hold up against privacy frameworks including GDPR and CCPA, in close collaboration with Legal and Compliance. — Chase data-flow and permission questions to ground truth which means following through until the answer and its implications are genuinely clear. Your Qualifications: — Your primary expertise is in Salesforce administration and business systems security. — Everything else listed here is context you'll operate in. — Depth in the primary domain matters more than breadth across all of them. — Salesforce administration experience with a strong security lens. — This means permissions, sharing rules, connected apps, and integration patterns. — Solid understanding of how business systems interconnect and why that matters for data exposure and business continuity. — Able to communicate issues precisely to both technical and non-technical audiences. — Working knowledge of privacy frameworks such as GDPR and CCPA at minimum. — You don't need to tick every box! We're looking for depth in business systems security and the drive to grow across the rest. Standout Qualities: — Certified Salesforce Administrator credential. — Security+, ISC2 CC, or an equivalent security certification. — Experience auditing or governing SaaS-to-SaaS integrations. — Exposure to data security posture management (DSPM) or data classification in SaaS environments. — You use AI as a force multiplier — to move faster, think wider, and go deeper — but your security instincts and judgement are your own. — You don't outsource thinking to a tool. — Demonstrated tenacity in chasing complex data flows and access permissions across multi-tool integrations to a definitive answer. Team Dynamics: — You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. — You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. — You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: — Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. — Collaborative environment working closely with RevOps, Legal, and Marketing teams. — Hybrid mode. Benefits & Perks: — 28 calendar days of paid vacation — Sick Leave Compensation (5 Paid Uncertified Sick Days) — Parental Leave: 18 Weeks Maternity / 4 Week Paternity — 2 Volunteer Days — Health Insurance (Employees + Dependents) — Life Insurance Plan — Utility Allowance (30 EUR/month, subject to taxation) — Fitness Plan (800 EUR/year) — Full-remote & On-demand access to Co-working space

Location: Serbia; Georgia; Armenia; Turkey; Montenegro; Ukraine Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a System Business Analyst in the data department to bridge communication between our business and development teams, translating business needs into clear technical specifications. Responsibilities: Collaborate with stakeholders to identify, analyze, and document business requirements. Translate business needs into acceptance criteria and technical specifications for the development team. Analyze, define, and document detailed system requirements, including functional, non-functional, and integration requirements. Lead system configuration and data mapping efforts, particularly those involving APIs, third-party platforms, and internal system integrations. Support post-release validation and acceptance of features to ensure solutions meet stakeholder expectations. Requirements 3+ years of experience as a Business Analyst or Systems Analyst Background in IT or software development Experience in product and marketing analytics Strong SQL skills for querying and analyzing data Solid experience in gathering, analyzing, and documenting business requirements Experience creating data flow diagrams (DFDs) and data architecture diagrams Familiarity with API documentation tools and a basic understanding of REST API concepts Strong problem-solving and critical-thinking skills Excellent communication skills Spoken English at B2 level or higher Tech Stack Databases and data warehouses: ClickHouse, Redshift, PostgreSQL, BigQuery Analytics and marketing platforms: Mixpanel, GA4, AppsFlyer, Blueshift Data pipelines and streaming: RudderStack, Kafka Nice to Have Hands-on experience with data warehouses such as ClickHouse, BigQuery, or Redshift Experience in FinTech, especially CFD trading Familiarity with AI tools for analytics, such as MCP servers and skills Experience with Python or JavaScript Benefits Quarterly bonuses based on Company performance 24 working days of annual leave Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Задачи: — Техническое развитие направления: формирование технического курса, выбор ключевых гипотез, принятие решений по результатам экспериментов. — Обучение и управляемость модели: развитие методов обучения, данных и reward-моделей для следования системным инструкциям. — Оценка качества: формулирование требований к оценке, контроль качества и проверка отражения изменений в поведении модели. — Интеграция результатов: доведение решений до релизной модели, согласование технических изменений, участие в разборе сложных проблем. — Техническая работа с командой: исследование подходов к управляемости языковых моделей, проектирование решений для проверки на Alice AI. Требования: — Хорошее понимание устройства современных LLM, instruction tuning и методов алайнмента. — Опыт руководства техническим развитием ML-направления или сложного исследовательского проекта. — Умение связывать продуктовые цели, исследовательские гипотезы и метрики качества. — Опыт построения воспроизводимого цикла ML-экспериментов и принятия технических решений по их результатам. — Навыки проектирования ML-систем и оценки применимости новых подходов к задачам продукта. Будет плюсом: — Опыт работы с instruction following или controllability языковых моделей. — Опыт работы с оценкой поведения LLM или reward-моделями. Условия: — Ежегодные медицинские чекапы, йога и психотерапия. — Другие бонусы, полный список доступен по ссылке https://yandex.ru/jobs/pages/benefits.

Задачи: — Руководить, обучать и развивать команду менеджеров продуктов, отвечающих за финансовые системы, системы управления персоналом, продажи и права, биллинг и монетизацию, данные корпоративных систем и AI & автоматизацию. — Определять и развивать операционную модель управления продуктами для корпоративных систем, устанавливая единые практики для исследования продукта, определения проблем клиентов, разработки дорожных карт, приоритизации, требований, метрик и управления жизненным циклом. — Устанавливать согласованную стратегию портфеля, связывая отдельные продуктовые домены с корпоративными системами и целями компании. — Сотрудничать с руководством инженерного отдела для согласования продуктовой и технической стратегии, обеспечивая баланс инвестиций между новыми возможностями и здоровьем платформы, надежностью, масштабируемостью, безопасностью, техническим долгом и операционной устойчивостью. — Управлять приоритизацией и инвестиционными решениями на уровне портфеля, помогая командам сосредоточиться на наиболее ценных задачах и результатах. — Выявлять и управлять зависимостями между доменами, особенно там, где бизнес-процессы охватывают продукты, продажи, права, биллинг, финансы, системы управления персоналом, интеграции, автоматизацию и корпоративные данные. — Обучать менеджеров продуктов глубокому пониманию клиентов, бизнес-процессов, систем, потоков данных и технических ограничений, а не только управлению требованиями или проектами. — Повышать техническую и системную грамотность организации управления продуктами для эффективного взаимодействия с инженерами, архитекторами, командами данных и безопасностью. — Обеспечивать, чтобы стратегии и дорожные карты продуктов основывались на измеримых результатах для клиентов и бизнеса с четкими метриками успеха и механизмами оценки здоровья и ценности продукта. — Создавать ясность в неоднозначных или сильно кросс-функциональных инициативах, где владение, требования, границы систем или желаемые результаты неочевидны. — Сотрудничать с руководителями бизнеса для понимания стратегических приоритетов и трансформации их в согласованные технологические возможности и планы инвестиций. — Вести продуктовое мышление для крупных трансформаций, таких как новые модели ценообразования и монетизации, внедрение корпоративного AI, модернизация ERP и биллинга, управление корпоративными данными и автоматизация. — Устанавливать механизмы планирования портфеля, обзоров дорожных карт, обзоров здоровья продуктов, управления зависимостями и коммуникации с руководством. — Обеспечивать баланс между запросами заинтересованных сторон и долгосрочной стратегией продукта, стимулируя упрощение, стандартизацию, автоматизацию или устранение процессов. — Продвигать управление продуктами на основе данных, включая четкие KPI, меры принятия, операционные метрики, обратную связь клиентов и измерение результатов. — Сотрудничать с инженерным руководством для улучшения взаимодействия команд продукта и инженерии на всех этапах от исследования и дизайна до доставки, готовности к эксплуатации, принятия и непрерывного улучшения. — Четко коммуницировать стратегию портфеля, инвестиционные решения, прогресс, риски, зависимости и компромиссы старшему руководству. — Строить крепкие отношения с различными функциями, влияя на результаты без прямого авторитета. — Поддерживать найм, адаптацию, управление эффективностью, развитие карьеры и повышение квалификации команды управления продуктами корпоративных систем. Требования: — Более 10 лет опыта в управлении продуктами, техническом управлении продуктами, бизнес-системах или смежных областях с значительной ответственностью за сложные корпоративные или платформенные продукты. — Более 3 лет опыта руководства, управления или формального наставничества менеджеров продуктов с доказанной способностью повышать компетенции и развивать сильных лидеров. — Опыт владения или управления портфелем взаимосвязанных продуктов, платформ или корпоративных систем, а не отдельным приложением или бизнес-процессом. — Сильные основы управления продуктами, включая исследование клиентов, определение проблем, стратегию продукта, разработку дорожных карт, приоритизацию, требования, метрики и измерение результатов. — Сильная техническая и системная грамотность с умением рассуждать о API, интеграциях, потоках данных, границах систем, архитектуре платформ, автоматизации и экосистемах корпоративных приложений. — Опыт тесного сотрудничества с инженерным руководством для формирования технической стратегии, оценки компромиссов и трансформации бизнес-потребностей в масштабируемые платформенные возможности. — Способность вести сложные кросс-функциональные инициативы, охватывающие несколько систем, бизнес-функций и технических команд. — Опыт работы с корпоративными платформами и бизнес-процессами в областях финансов, продаж, HR, биллинга, монетизации, данных или автоматизации. — Умение отличать проблемы клиентов от запрошенных решений и наставлять команды и заинтересованных лиц на более простые и эффективные результаты. — Сильные аналитические навыки и подход, основанный на данных, для приоритизации, оценки здоровья продукта и инвестиционных решений. — Опыт работы в средах, где важны надежность, безопасность, соответствие требованиям, целостность данных и операционная непрерывность. — Способность эффективно работать как на стратегическом, так и на исполнительном уровнях. — Отличные устные и письменные коммуникативные навыки, включая способность ясно излагать сложные технические и бизнес-концепции для старшего руководства. — Способность влиять на решения через организационные границы, управлять конкурирующими приоритетами и создавать ясность в неоднозначных условиях. — Опыт работы с SaaS-моделями, корпоративным AI, монетизацией на основе использования, корпоративными данными или крупномасштабной трансформацией бизнес-систем является преимуществом. — Степень бакалавра в области бизнеса, информационных систем, компьютерных наук или смежной области либо эквивалентный практический опыт. — Продвинутая степень является плюсом, но не обязательна. Условия: — Полная занятость. — Удаленная работа из любой зарегистрированной локации в США. — Медицинское, стоматологическое и офтальмологическое страхование с субсидией работодателя для штатных сотрудников. — Программа 401k с матчингом до 50% от взноса сотрудника до 6% от заработной платы. — Ежемесячный стимул для поддержки работы и продуктивности. — Гибкая программа отпусков и оплачиваемые больничные. — Страхование жизни, краткосрочная и долгосрочная нетрудоспособность для сотрудников в США. — 12 оплачиваемых праздничных дней в году. — До 24 недель оплачиваемого отпуска по уходу за ребенком. — Оплачиваемый день волонтерства. — Возможности профессионального роста и развития, включая доступ к онлайн-курсам Udemy. — Дополнительные льготы, включая членство в службе консультирования, скидки в местных магазинах и персональный аккаунт Smartsheet. — Конкурентоспособный базовый оклад с дополнительной возможностью получения бонусов, зависящих от уровня опыта, навыков и местоположения кандидата.

Smartsheet is seeking a Director, Finance Systems & ERP to lead the engineering organization responsible for the company's financial technology ecosystem and define the long-term technical strategy for platform evolution. The role involves owning the architecture, engineering maturity, technical health, and delivery of systems supporting core financial operations, procurement, planning, payments, billing, revenue processes, and emerging monetization models. This strategic and highly visible leadership position includes leading major transformation initiatives such as ERP modernization, billing transformation, and evolving usage-based and consumption-based monetization. The Director will represent Corporate Systems in executive steering committees and major transformation programs, partnering with Finance, Accounting, Procurement, Product Engineering, Sales/GTM, Data, and other technology leaders. Responsibilities: — Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI — Lead, coach, and develop the Financial Systems Engineering organization responsible for platforms including NetSuite, Coupa, Planful, Stripe, ZoneBilling, Metronome, Avalara, and associated technologies — Serve as the senior technology leader for NetSuite and ERP, ensuring scalability, maintainability, security, auditability, and alignment with long-term SaaS business needs — Provide technology leadership for major Finance transformation programs, including ERP reimplementation and modernization — Partner with Product Managers to translate product strategy and business priorities into technical roadmaps and engineering plans — Shape technology architecture to support evolving SaaS monetization models including subscription, multi-year, usage-based, consumption-based, and AI-related pricing and billing — Establish architectural boundaries and systems of record across CRM, product, billing, ERP, payments, tax, planning, and downstream data platforms — Define strategy for Finance systems data including authoritative sources, data models, contracts, quality, lineage, reconciliation, and enterprise data platform consumption — Collaborate with Data Engineering and Analytics to integrate Financial Systems with enterprise data lake ensuring timely, trustworthy, and usable Finance data — Drive data quality and observability across Quote-to-Cash and Finance workflows — Establish AI strategy for Financial Systems Engineering to improve productivity, operations, controls, testing, support, reconciliation, and employee experiences — Evaluate and introduce AI-assisted capabilities ensuring financial integrity, security, auditability, human oversight, and controls — Develop strategy for automated testing and quality engineering across Finance technology stack — Establish modern engineering practices including source control, peer review, CI/CD, environment management, automated testing, observability, documentation, release engineering, and operational readiness — Determine boundaries between native SaaS configuration, platform extensibility, APIs, integrations, automation, and custom software — Partner with Integration Engineering to ensure scalable, observable, resilient Finance and Quote-to-Cash integrations — Own technical health and lifecycle of Financial Systems portfolio addressing architectural debt, platform limitations, fragile integrations, unnecessary customization, manual processes, and operational problems — Establish architecture reviews, technical standards, engineering metrics, platform health reviews to improve Financial Systems Engineering maturity — Represent Financial Systems Engineering on executive steering committees and transformation governance forums — Provide technical leadership across implementation partners and strategic vendors ensuring adherence to Smartsheet’s architecture and engineering standards — Partner with Finance leadership and stakeholders to understand business strategy while maintaining technology ownership — Balance delivery of transformation programs with operational reliability, roadmap commitments, technical debt reduction, platform modernization, security, controls, and long-term investments — Build partnerships across Finance, Product Engineering, Sales/GTM, Data, Security, AI & Automation, and Corporate Systems — Recruit, develop, and retain engineering talent with expertise in Finance platforms, software engineering, systems thinking, and financial technology innovation Requirements: — 10+ years of progressively responsible experience in financial systems, enterprise application engineering, ERP, software engineering, systems architecture, or related technical disciplines — 5+ years of experience leading technical teams including managing managers, senior engineers, architects, or technical leaders — Deep experience with NetSuite or comparable enterprise ERP platforms with technical depth to lead architecture and establish long-term platform strategy — Experience leading major ERP implementation, reimplementation, or transformation programs from architecture through ongoing evolution — Strong understanding of financial business processes including record-to-report, procure-to-pay, order-to-cash, billing, payments, financial planning, accounting, and revenue workflows — Experience with financial platforms such as Coupa, Planful, Stripe, ZoneBilling, Metronome, Avalara, or comparable technologies — Experience with SaaS billing and monetization architectures including subscription and usage-based or consumption-based models — Strong systems thinking across ERP, CRM, product, billing, payments, integrations, data platforms, APIs, automation, and financial controls — Experience defining technical strategy and architecture beyond managing application delivery or support — Experience designing or evolving enterprise data architecture including systems of record, data models, interfaces, contracts, quality, reconciliation, governance, lineage, and consumption — Experience partnering with Data Engineering or Analytics organizations and integrating operational systems with platforms like Databricks or Snowflake — Experience establishing modern engineering practices including automated testing, CI/CD, source control, observability, release management, documentation, and operational readiness — Understanding of modern AI capabilities and practical applications of LLMs, agents, and intelligent automation with financial, security, and compliance risk management — Strong understanding of financial controls, auditability, security, data integrity, and compliance for business-critical financial platforms — Experience governing system integrators and technology vendors during large transformation programs — Experience partnering with Product Managers and senior business leaders to align business, product, and technical strategy — Ability to operate effectively from executive steering committees to detailed architecture reviews — Demonstrated ability to challenge legacy processes and lead technology and operating-model change — Excellent analytical, verbal, and written communication skills with executive presence — Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, Business, or related field or equivalent experience Conditions: — Full-time remote position based in the USA — Employer subsidized medical, vision, and dental coverage for full-time employees — 401k match (50% of contribution up to first 6% of eligible pay) — Monthly stipend for work and productivity support — Flexible Time Away Program plus Sick Time Off — Life insurance, short-term and long-term disability plans — 12 paid holidays per year — Up to 24 weeks of parental leave — Personal paid volunteer day — Professional growth and development opportunities including Udemy courses — Company funded perks including counseling membership, local retail discounts, and personal Smartsheet account — Teleworking options from any registered location in the U.S. — Competitive base salary range depending on location and experience — Eligible for market competitive incentive opportunity

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview about the Role We're looking for a Senior Product Manager to own the Lead-to-Opportunity (L2O) domain within our Salesforce and GTM technology ecosystem. This role sits at the intersection of marketing operations, sales process, and technology owning the roadmap for how leads are captured, scored, routed, and converted into pipeline, and how our broader GTM tech stack supports that motion. This is a foundational hire one of the first product managers on a team actively transforming from a reactive BSA model into a proactive, roadmap-driven product organization. You'll be both an individual contributor driving your own domain and a mentor helping BSAs grow into product manager roles. You'll have direct influence over how we shape the team's future operating model. What You'll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for the Lead-to-Opportunity domain covering lead capture, enrichment, scoring, routing, conversion, opportunity and the broader GTM technology stack integrated with Salesforce Translate business strategy from Marketing, Sales Development, RevOps, and GTM leadership into sequenced, prioritized system capabilities with clear outcomes and success metrics Define the domain's strategic priorities each quarter and half, balancing net-new capability delivery, stabilization, and technical debt reduction with transparent trade-off frameworks Drive quarterly planning ceremonies, partnering with Engineering Managers and BSAs to align capacity with roadmap commitments Own domain-level documentation: process maps, current-vs-future state lead lifecycle flows, and decision logs that keep stakeholders and the team aligned on scope and ownership Stakeholder Partnership & Requirements Translation Serve as the primary product voice for all L2O and GTM Systems initiatives, partnering closely with Marketing, Marketing Operations, SDR/BDR leadership, Sales, and RevOps Lead discovery, requirements workshops, and business process design sessions translating complex GTM and marketing operations requirements into actionable system specifications Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions Run structured stakeholder alignment sessions to surface trade-offs, build consensus, and drive open decisions to closure rather than letting them linger Represent the domain in cross-team planning and leadership reviews able to explain technical constraints to business stakeholders and business context to engineers Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication Model and codify what "good" looks like reusable templates, rituals (backlog grooming, roadmap reviews), and a rubric BSAs can grow against Give BSAs increasing ownership over pieces of the roadmap as they develop, with regular feedback and structured check-ins Partner with leadership to evolve the team's operating model from project-execution-focused to product-thinking-led, raising the bar for how EntApps delivers business value Program Strategy & Delivery Oversight Lead initiatives end-to-end: discovery, requirements, prioritization, solution design review, UAT, launch, and post-launch measurement Write and maintain clear user stories, acceptance criteria, and lead-flow and data-flow diagrams that engineering and admins can build against without ambiguity Manage a healthy, well-groomed backlog intake requests from Marketing and Sales Development, triage by impact and effort, and defend prioritization decisions to stakeholders Define success metrics per initiative (lead response time, routing accuracy, lead-to-opportunity conversion rate, data quality, SDR/BDR adoption) and report on outcomes, not just delivery Identify and de-risk dependencies across adjacent domains campaign operations, data enrichment vendors, opportunity handoff to sales before they block delivery Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers on Salesforce and MarTech integration design marketing automation platform to Salesforce sync, data enrichment pipelines, lead scoring and routing engines, ensuring choices hold up to governance, scale, and future roadmap needs Bring informed opinions on GTM platform architecture trade-offs based on deep domain knowledge Stay current on platform roadmaps for Salesforce Sales Cloud and connected MarTech tools, identifying opportunities to leverage native capabilities before custom builds Maintain domain-level R&R clarity, who owns what across US/India technical managers, BSAs, and adjacent pods and update as team and scope evolve Ability to engage deeply with engineering and architecture teams on API design, data modeling, and integration patterns. What You'll Bring 7+ years in Salesforce product management, business systems analysis, or Marketing/Revenue Operations technology roles, with demonstrated growth into product ownership Strong working knowledge of Lead-to-Opportunity processes; lead capture, scoring, routing, and conversion and how they connect marketing execution to sales pipeline Hands-on familiarity with the GTM technology stack: Salesforce Sales Cloud plus marketing automation platforms (Marketo, HubSpot, or Pardot), lead scoring and routing tools, and data enrichment or intent providers Good Understanding of quoting process Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders Proven experience leading initiatives end-to-end with multiple stakeholders and competing priorities, especially across Marketing and Sales Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs — without needing to write code Experience mentoring or upskilling analysts and BSAs, you enjoy developing people, not just managing tickets Excellent written and verbal communication; able to represent technical trade-offs to non-technical executives and translate business asks into clear technical requirements Comfortable operating in ambiguity and driving structure where none exists Experience with AI-assisted development workflows, data governance and compliance for lead data, or prior people-management experience About the Team You'll be one of the first product managers on a team actively transforming from a reactive BSA function into a proactive, roadmap-driven product organization. The Lead-to-Opportunity domain sits at the top of GitLab's revenue funnel; the quality of data, routing, and conversion here affects every downstream system and every seller. Getting this right is not an IT problem; it's a revenue problem. You'll have direct influence over how we shape the team's future operating model and how the next generation of BSAs grows into product managers. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Python-разработка; — работа с API и интеграциями; — автоматизация бизнес-процессов; — работа с AI-инструментами и агентами; — backend-задачи. Требования: — Junior / начинающий разработчик; — хорошая техническая база; — желание быстро развиваться и погружаться в AI-разработку. Условия: — удалённая работа; — проектная занятость; — зарплата $100–1 000 в месяц; — возможность долгосрочного сотрудничества.