Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sony Interactive Entertainment
Security Architecture | Cloud | AI Security | Enterprise Platforms
We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems.
Key Responsibilities
Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk.
Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls.
Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services.
Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms.
Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows.
Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services.
Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls.
Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments.
Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness.
Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background.
Required Qualifications
15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level.
Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments.
Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud.
Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs.
Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls.
Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle.
Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations.
Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams.
Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience.
Preferred Qualifications
Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments.
Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems.
Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments.
Development or automation experience in Python, C++, Java, or similar languages.
Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement.
Penetration testing, adversarial security, or attacker-minded design experience.
Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
About the role We're looking for Lead Go engineer with 5–6+ years of commercial Go development and 2+ years in a leadership role (Team Lead / Lead Engineer - it must be in your CV).
УдалённоleadАлбания, Армения, Грузия, Венгрия, Литва, Польша, Сербия, Словения, Украина; Working hours: 09:00–18:00 CEST Requirements 5–6+ years of commercial Go development 2+ years as Team Lead / Lead Engineer Distributed systems, Go concurrency Hands-on experience with AI/ML integration / configuration Degree in IT CI/CD, stakeholder communication, mentoring senior engineers English — C1 Nice to have: experience in insurance Location Candidates must be based in one of the following countries: Georgia, Albania, Serbia, Slovenia, Ukraine, EU, Hungary, Lithuania, Poland, Armenia APPLY
Location: UAE - Dubai; Poland; UK; Portugal
Workplace: hybrid
1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
The Role
As Tech Lead, iOS, you’ll be the primary technical owner of the 1inch Wallet iOS application. This is a hands-on individual contributor role with no direct people management responsibilities. You’ll own the app’s architecture and development, improve its CI/CD workflow and monitor it after release. You’ll work on wallet features including perpetual trading, prediction markets and DeFi staking, collaborating with the Product Owner, Android Lead and QA. You’ll also use AI-assisted tools in development and testing, applying sound engineering judgement to the code and tests they generate.
What you’ll do
Own the iOS architecture and technical direction, balancing feature delivery, maintainability, performance and security.
Build and improve modular, testable application components, and guide implementation across complex wallet flows.
Implement wallet features and technical improvements across the iOS application.
Integrate the application with backend services, blockchain networks and related wallet services.
Work with Product, Android, Backend, Blockchain and QA on shared product behaviour, API integrations, test coverage and defect investigation
Use AI-assisted tools in development and testing, reviewing and validating their output against engineering, quality and security standards.
Protect sensitive information by keeping private keys, recovery phrases, credentials and user data out of AI prompts and inappropriate logs.
Own and improve the iOS build and CI/CD workflow; monitor releases, investigate production issues and coordinate fixes and improvements to stability.
Who you are
You have strong hands-on iOS development experience with Swift, including experience building production applications.
You have practical experience working on a Web3 product, such as a wallet, DeFi application or product integrating with blockchain networks, and an understanding of crypto and trading.
You have experience with iOS build and CI/CD workflows and monitoring production applications.
You have experience making technical and architecture decisions for an iOS application.
You communicate technical trade-offs clearly and work well with Product, Android and QA.
You are comfortable taking ownership of the iOS application while working independently as its primary iOS technical owner.
You are pragmatic: you can move quickly while keeping reliability, security and maintainability in mind.
You use AI tools thoughtfully, question their output and take responsibility for the code you deliver.
Nice to haves
Experience building or maintaining a non-custodial wallet.
Experience with transaction signing, wallet recovery or transaction lifecycle flows.
Experience building modular, testable applications and handling asynchronous operations and network failures.
Experience with security-sensitive mobile functionality, mobile security reviews or incident response.
Hands-on experience with UIKit or SwiftUI; experience with both is not required.
Задачи:
— Полный цикл системного анализа модулей платформы
— Формализация бизнес-требований
— Проектирование логики работы модулей
— Описание интеграций и потоков данных
Требования:
— Опыт работы в бизнесе в сфере ритейла, производства на роли бизнес/системного аналитика
— Опыт работы в консалте в сфере управления цепями поставки, ритейла на роли бизнес/системного аналитика
— Знание стека: Knowledge Space, Optimacros, Novo BI, Jume, Reshape
— Опыт работы системным аналитиком от 5 лет
— Желателен совмещённый опыт SA+BA
— Опыт работы с аналитическими платформами, корпоративными системами или системами планирования
— Опыт участия в сложных проектах с большим количеством данных и интеграций
— Системный анализ требований (BRD, FRD, SRS, Use Cases, User Stories)
— Моделирование бизнес-процессов (UML, AS-IS / TO-BE)
— Проектирование и описание данных (ER-диаграммы, логические модели)
— Работа с реляционными и нереляционными БД на уровне анализа данных и требований
— Работа с интеграциями: REST API, форматы обмена, спецификации OpenAPI; понимание событийных интеграций
— Декомпозиция сложных бизнес-задач до технических требований
— SQL: чтение и написание аналитических запросов
— Высшее образование (информационные технологии, математика, экономика, прикладные науки)
— Работа с большим количеством стейкхолдеров
— Навыки фасилитации
Будет плюсом:
— Опыт в Supply Chain, Demand Planning, Forecasting, ERP, APS
— Опыт работы в продуктовых командах (Agile, Scrum)
— Понимание процессов Supply Chain Planning, S&OP, Demand Sensing (для модуля Demand Planning)
— Понимание задач линейной и смешанно-целочисленной оптимизации, LP, MILP (для модуля Supply Network Planning)
— Опыт описания требований к ML и аналитическим компонентам (feature engineering, качество данных, метрики моделей)
— Базовое понимание методов Operations Research для диалога с разработчиками алгоритмов
— Навыки построения экономических обоснований (ROI, TCO, cost-to-serve)
— Базовые навыки анализа данных для валидации гипотез
— Инструменты моделирования: Draw.io, PlantUml, Miro или аналоги
— Яндекс.Трекер Axenix, Яндекс.Вики Axenix (или Jira, Confluence)
— Базовое понимание архитектуры web-приложений, backend-сервисов и ML-конвейеров
— Инструменты бизнес-анализа: gap-анализ, моделирование бизнес-объектов
— Сертификации по системному или бизнес-анализу (IIBA CBAP, CCBA, курсы по BABOK)
— Обучение в области Supply Chain, Demand Planning, Operations Research
Location: Москва
Команда занимается сбором качественных данных, которые принципиально важны для обучения передовых моделей ИИ.
Обязанности
* Определять техническую стратегию и целевую архитектуру системы.
* Проектировать системы, готовые к масштабированию от миллионов до миллиардов сущностей: горизонтальное масштабирование, шардирование, геораспределение.
* Принимать ключевые технологические решения: выбор стека, стратегии хранения, архитектурные паттерны (event-driven, CQRS и др.).
* Проектировать end-to-end пайплайны: URL discovery → fetch → parse → deduplicate → store → deliver.
* Писать код самых сложных и критичных компонентов: планировщик обхода, URL-фронтир, дедупликация, проводить performance engineering: профилирование, нагрузочное тестирование, устранение bottleneck-ов.
* Оптимизировать прокси-инфраструктуру и маршрутизацию трафика на глобальном уровне, исследовать и внедрять новые технологии: HTTP/3, QUIC, eBPF, io\_uring для максимизации throughput, разрабатывать стратегии оптимизации стоимости инфраструктуры (FinOps).
* Руководить командой из 3–6 инженеров: планирование, декомпозиция, приоритизация, формировать и поддерживать технические стандарты: Code Review, coding guidelines, архитектурные ADR, менторить разработчиков, проводить 1-1, помогать в профессиональном развитии, взаимодействовать с потребителями данных и смежными командами для планирования roadmap.
Требования
* **Знание Python и Go.**
* Коммерческий опыт разработки на Python и Go от 7 лет, из них не менее 2 лет в роли техлида/тимлида.
* Экспертиза в проектировании распределённых высоконагруженных систем (миллионы RPS, петабайты данных).
* Глубокое понимание сетевого стека: TCP/UDP, HTTP/1.1/2/3, TLS, DNS, QUIC.
* Практический опыт построения масштабных систем краулинга или аналогичных data acquisition систем.
* Экспертиза в асинхронном и параллельном программировании.
* Опыт проектирования микросервисной и event-driven архитектуры.
* Опыт работы с Kafka, Redis, PostgreSQL, ClickHouse (или аналогами).
* Уверенное владение Kubernetes, Docker, Terraform, CI/CD.
* Опыт работы с облачными платформами.
* Навыки глубокого troubleshooting: tcpdump, strace, perf, eBPF-инструменты.
* Опыт управления командой: планирование, Code Review, менторинг, 1-1, найм.
Будет плюсом
------------
* Знание Rust или C++ для написания высокопроизводительных компонентов.
* Опыт работы в компаниях с масштабным краулингом (поисковые системы, data aggregators).
* Опыт работы с io\_uring, eBPF, zero-copy networking.
* Опыт построения геораспределённых систем.
* Опыт применения ML для оптимизации crawl-стратегий (приоритизация, фильтрация, классификация).
* Публичные выступления, статьи.
Условия
* Крупнейшее DS\\&AI community — более 600 DS-специалистов банка.
* Дайджест о самых последних разработках в области DS\\&AI и отчеты с крупнейших конференций мира.
* Возможность быть соавтором НИРов и статей для международных конференций.
* Возможность выбрать удобный формат работы: гибрид или офис.
* Ежегодный пересмотр зарплаты, годовая премия.
* Корпоративный спортзал и зоны отдыха.
* Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития.
* Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа.
* Бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров.
* Вознаграждение за рекомендацию друзей в команду Сбера.
Sell Abnormal AI solutions to large Enterprise SLED agencies with a mandate to overachieve new annual recurring revenue quota, not just hit it. Run the full deal cycle in your accounts: first conversation, technical evaluation, contract signature, and the upsell conversations that follow once they're a customer.
Location: Remote; United States; Poland; United Kingdom; Netherlands
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 hiring a Product Manager to own the core ElevenCreative product experience for creators and marketers who sign up, subscribe, and build on their own. Self-serve users make up the majority of ElevenCreative’s user base, and they use the platform to generate and edit speech, music, image, and video across 70+ languages.
You’ll drive growth and adoption across the self-serve product experience, focusing on how users discover what ElevenCreative can do, how they move from a first generation into agents, video, and multi-step creative workflows, and what keeps them coming back and upgrading. There’s no shortage of things we could build. The job is defining the big bets, scoping them well, and shipping them quickly with the team.
PMs at ElevenLabs work in small, highly collaborative teams with minimal process, alongside engineers who have room to build creatively and lead. The scope is broad by design. Some weeks lean toward product, others toward growth or go-to-market work, and you’ll own whatever it takes to make ElevenCreative the best product for its users.
WHAT YOU’LL DO
- Drive growth and adoption of the self-serve product, focusing on onboarding, activation, and upgrade moments, and partnering with growth, lifecycle, and pricing teams where they connect
- Scope and define the big bets for the self-serve product across image, video, music, agents, and editing workflows
- Find the biggest opportunities in the user journey through product data and user behavior, and turn them into clearly scoped projects
- Drive adoption of newer experiences like agents and video, helping users expand from a single product into the full platform
- Work with engineering and design to ship quickly, mocking up early concepts yourself when it speeds things up
- Partner with growth, lifecycle, and social teams on launches and the moments that bring users into new parts of the product
- Define success metrics for your area and track activation, engagement, retention, and conversion to paid plans
- Talk to creators and marketers regularly to understand how they work and where the product falls short, and bring those insights back to the team
REQUIREMENTS
- 5+ years of product management experience on consumer or self-serve products
- A track record of moving growth and adoption metrics through the products you’ve shipped
- Deep familiarity with the creative space and the creators and marketers who use these tools, with a habit of bringing user insights into every product decision
- Experience scoping and defining large, ambiguous bets and owning them end to end
- Design-minded, with a high bar for quality and user experience and the ability to mock up concepts yourself
- Technical fluency to go deep with engineers on how things are built and the tradeoffs involved
- Strong analytical skills and comfort in product analytics tools to find opportunities and measure impact
- A track record of shipping quickly and iterating based on what the data shows
- Ownership pedigree, meaning you drive your own projects fully rather than handing off after the spec
- Curiosity about AI and creative tools, and close attention to how the space is moving
#LI-Remote
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: Berlin
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
ABOUT THE ROLE
Taxfix builds more products for more customer segments, faster than before. As Senior Product Marketing Manager, you are the go-to-market partner embedded into a product team, from the first discovery conversation to scaling. You’re not just handed a final product to talk about it. You bring customer, market and competitive evidence into the decisions that shape what gets built from day one: which segments to target, what features to prioritize, how to create Aha moments. You influence what the product does, how it wins and whether people will pay. You also build the systems that keep this work running: from automated competitor and customer insights generation, to agentic workflows that let product teams run smaller launches themselves at high quality.
You work closely with Product, Engineering, Commercial, Growth Marketing and Paid Acquisition.
WHAT YOU'LL DO
- Taking one (or many) of our big bets to market. With high level of responsibility, autonomy and direct support from senior leaders and domain experts, you will help us launch assisted and AI-native experiences that customers truly love.
- Bring the market into product decisions. Turn customer, market and competitive evidence into clear recommendations for the product team. Join discovery work and design sprints where market specifics shape what gets built.
- Choose who to serve, and who not to. Break users and products down into needs, pains, and functional and emotional value. Define sharp ICPs and decide which segment to win first and later.
- Position the product to win. Define the competitive alternatives, what makes the product different and why it wins. Turn that into a sharp messaging and shape the pricing and packaging inputs.
- Run launches as tests. Run lean tests early, report what the measures show, and adapt the product, the positioning and the go-to-market. You gather evidence that improves our GTM decision quality, not tick off a launch checklist.
- Align the people around the work. Bring structure to complex go-to-market work: clear owners, milestones, decision points and success measures. Facilitate decisions across Product, Engineering, Data, Growth and commercial teams.
- Build the insight engine. Replace ad hoc research with automated flows of competitor and customer insight that product and marketing teams use every week.
- Own part of the context system. Turn each go-to-market decision and artifact into governed context that empowers people and agents alike.
- Build with AI. Build your own prototypes, applets and automations for the opportunities you prioritize, and help product teams self-serve lower-tier launches at quality.
WHAT YOU'LL BRING
- 5+ years of bringing tech products to market. You have successfully taken complex products or features from discovery to launch and adoption, in a fast-paced environment.
- Data- and evidence-driven over opinion. You set clear targets, success definitions and guardrails. You analyze data and derive actionable next steps. When evidence contradicts the plan, you say so, including to senior stakeholders.
- Customer insight and craft. You stay close enough to users to quote them. You turn what they said into why they behave as they do, and into a narrative people remember.
- AI as a builder. You build agents, automated workflows, prototypes and context towards clear milestones or outcomes.
- Communication and project leadership. You write and speak with precision, align several teams at once and keep many moving pieces on track.
- High agency and curiosity. You find the problem and solve it without waiting to be told, and you carry it like an owner.
- Bias for action. You prioritize speed of learning and progress over perfection.
- English and German. You use German to write customer-facing messaging and English to work with the wider team.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Location: Ebene
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless.
At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction.
What you will be doing
- Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time.
- Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation
- Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth.
- Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows.
- Workflow Automation: Design, construct, and manage automated workflow solutions to eliminate repetitive manual bottlenecks across commercial reporting and incentive management.
- Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam
About you
- Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment.
- Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree.
- Technical & Coding Chops: You possess strong programming skills (e.g., Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code. You have practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker.
- Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling.
- Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie.
- Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters
- Software Engineering Mindset: You apply modern software engineering practices to data workflows—leveraging version control, modular code, and automated testing to build robust, maintainable data pipelines.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: India
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
This role partners directly with enterprise customers building and deploying conversational agents on the ElevenLabs Agents Platform. The focus is hands-on execution - advising on agent design, personas, conversation flows, tool integrations, and voice customisation to deliver clear business outcomes in production environments.
You will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.
In parallel, you will own expansion outcomes across a defined portfolio of enterprise accounts. Success is measured by net revenue retention and sustained multi-product adoption. You will identify expansion opportunities, drive cross-sell through deeper agent usage, and partner with Sales, Engineering, and Account Managers to convert technical success into durable revenue growth and long-term customer commitment.
Requirements
- 7-11 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in India
- Familiarity and experience with building and deploying AI agents
- Familiarity and experience with API Integrations, and comfort and knowledge of navigating SDKs
- Proven experience driving revenue outcomes, including owning a revenue quota and identifying, qualifying, and closing cross-sell opportunities
- Excellent problem-solving, technical, and analytical skills to address customer needs and concerns
- Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization
- Strong understanding of the Indian market landscape and cultural nuances
- Self-motivated and able to work independently in a remote or distributed team environment
#LI-Remote
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: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Lifecycle Marketing Specialist
San Mateo, CA / Hybrid
The
Lifecycle Marketing
team is part of the broader Global Media and Omnichannel Marketing function within PlayStation and
is responsible for
implementing multi-channel digital programs and campaigns developing a relevant dialogue with tens of millions of customers across the globe.
We are advocates for the
player
. Crafting unforgettable digital experiences that fulfill player curiosity, boost
gameplay
and drive revenue. We use data-driven insights to build one-to-one relationships and personali
z
ed journeys with players across
web
, email, mobile and on-console.
The
Lifecycle Marketing
Specialist
role
is
responsible for
delivering
lifecycle
campaigns head to tail
including
planning,
testing,
executing
and measurement
specifically
for
Live Service and franchise
titles
.
This creative and innovative
individual
will work closely with our Creative Studio, Data Science, Audience & Measurement and Marketing teams across the Americas, Europe, and Asia. Together, we are on a mission to redefine owned channel marketing and its relationship to company growth and player engagement.
Main responsibilities:
Build, configure, test, QA and launch multi-channel campaigns and automated journeys directly within campaign management tools for Live Service and franchise software titles across email, mobile and on-console messaging channels.
Partner closely with senior lifecycle marketing leads to translate strategies and campaign blueprints into high-quality campaigns, moving efficiently from brief through build, approval and launch.
Plan campaigns based on existing campaign blueprints, and collaborate with team to iterate and improve on prior campaign structures.
Operate with agility in a fast-moving live-service environment, adapting campaign plans, journeys and priorities in response to game updates, player behavior, business needs and emerging opportunities.
Lean into automation and trigger-based messaging, spotting opportunities to scale our lifecycle programs.
Collaborate with team to drive ‘Player Centricity’ through models, content and player insights to achieve 1:1 personalization at scale across the channel mix.
Analyze campaigns and journeys to understand the performance of these activities and build on the results for the next iteration. Share these results back to the business with clear insights and opportunities.
Collaborate on test and learn strategy to optimize campaigns; feeding all insights gained back into a continuous process of testing and refinement.
Keep a pulse on the lifecycle marketing landscape, seek and understand emerging trends, technologies and innovation to provide ongoing learning for the marketing organization.
What we’re looking for:
Educated to degree level in a related field such as Business, Marketing and a strong academic record.
3+ years of proven experience in B2C marketing, customer lifecycle management, engagement marketing.
Experience building Lifecycle Marketing program support for Live Service games is desirable.
Highly organized - able to handle a full workload and progress multiple ambitious projects simultaneously thanks to your skill and work ethic.
Passionate about the customer– you look at quantitative and qualitative consumer insights to make decisions and recommend improvements.
Strong communicator who comfortable briefing Creatives, Analysts, Engineers, Legal and management.
Strong analytical and quantitative skills with a consistent track record in data-based decision making.
Innovative and constantly exploring new ways of doing things and challenging the status quo.
Sophisticated communicator with excellent influencing skills.
Experience in Salesforce Marketing Cloud, Journey Builder, and Interactive Studio or equivalent ESP.
Excellent interpersonal skills with expertise and integrity that will earn respect and trust with internal team members and external vendors.
Experienced in establishing relationships and operating compassionately across cultures. This includes collaborating openly and bringing together different perspectives to drive well-informed decisions.
#LI-SV1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$95,800
—
$143,600 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams.
As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders.
As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective.
Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have.
You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams.
WHAT YOU'LL DO
Design the joint go-to-market motion with strategic partners
- Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way.
- Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership.
- Turn those into co-sell plays with clear entry points, owners, and next steps for both sides.
- Run account mapping with partner teams so the plays land on specific accounts, not just slides.
Activate partner field teams
- Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so.
- Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter.
- Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team.
- Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute.
Enable Baseten's own sellers on partner motions
- Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run.
- Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes.
- Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one.
Measure and evolve programs
- Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline.
- Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests.
- Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next.
WHAT WE'RE LOOKING FOR
- 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company.
- Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar).
- You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting.
- Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly.
- You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework.
- Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours.
Strong candidates may come from a mix of backgrounds such as:
- Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers.
- ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA.
- Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume.
- A partner-facing SA or SE who moved into enablement or GTM strategy.
NICE TO HAVE
- Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs.
- Experience at an AI infrastructure, model provider, or developer platform company.
- Built a partner function or partner enablement program from scratch at a growth-stage company.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Oakland, California, 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 bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly.
Why This Role Is Exciting
Two product portfolios just came together.
Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them.
Your work drives leadership decisions.
You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest.
You own the work end to end,
from raw data to the decision it informs.
You'll analyze products built for people like you.
Our customers are data teams.
Technologies You’ll Use
SQL (BigQuery / Snowflake)
dbt / dbt State
Looker / LookML / Omni
Hex / Sigma / Google Sheets
Claude Code / Codex
What You’ll Do
Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention.
Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy.
Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track.
Size the potential impact of new product initiatives and recommend how to prioritize them.
Analyze product launches and experiments, and recommend what to do next.
Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products.
Tackle questions where product data meets broader business data, such as revenue, sales, and support.
Build and maintain the data models, metrics, and dashboards behind your work.
Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm.
Skills We’re Looking For
5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company.
Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself.
Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output.
Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis.
A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation.
Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers.
Experience influencing cross-functional, distributed teams, both asynchronously and in real time.
Bonus Skills
Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions.
Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion.
Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap.
Experience developing and scaling a large dbt project.
Python or R for analysis.
#LI-DJ1 #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.
Oakland Pay Range
$156,082
—
$195,102.50 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.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into.
This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio.
You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made.
Responsibilities
Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments
Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts
Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities
Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives
Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready
Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
Serve as a key point of contact with external auditors on technical accounting matters within your portfolio
Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work
Minimum qualifications
Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role
Hold a Bachelor's degree in Accounting or Finance; CPA required
Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements
Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements
Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets
Have a track record of improving scalable technical accounting processes in fast-moving environments
Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement
Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency
Preferred qualifications
Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience
Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure
Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks
Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases)
Experience with lease accounting software and derivative / hedge accounting systems at scale
SQL proficiency for querying and analyzing large contract and accounting datasets
Knowledge of AI/ML infrastructure and associated cost structures
Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation
Proven ability to navigate ambiguity and drive results in rapidly changing environments
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридleadUAE - Dubai; Poland; UK; Portugal
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