Ищется performance/growth-маркетолог для работы с B2C-финтех продуктами, включая подарочные карты, карты пополнения для оплаты зарубежных онлайн-сервисов и eSIM, ориентированными на российский и международный рынки. Кандидат должен самостоятельно управлять рекламными кампаниями в Яндекс Директ, VK Ads, Telegram Ads, Google Ads, TikTok, Apple Search Ads, а также использовать programmatic и native-рекламу, работать с инфлюенсерами, SEO, ASO, ретаргетингом, email и push-уведомлениями. Необходим опыт работы с CPA/CPS-сетями, прямыми партнерами, медиабайерами, кэшбэк-, купонными и deals-площадками, реферальными программами, а также владение инструментами postback, трекинга и антифрода. Важны навыки работы с аналитическими системами GA4 или Яндекс Метрика, AppsFlyer или Adjust, понимание атрибуции, когортного анализа, LTV и CAC. Приветствуется опыт в финтехе, платежах, eSIM, телекоммуникациях, travel, подписочных сервисах и цифровых товарах. Предлагается конкурентная фиксированная зарплата и значительный бонус, зависящий от прироста валовой прибыли.
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Задачи:
— Генерация видео и речи персонажей строго по готовому сценарию с использованием AI-инструментов.
— Профессиональный монтаж сгенерированного материала: создание качественных, бесшовных склеек для достижения эффекта съемки "одним дублем".
— Контроль качества речи: расстановка правильных пауз, ударений и работа над интонацией.
— Своевременное внесение правок по персонажам в процессе производства.
— Разработка и создание качественной анимированной инфографики (моушен-анимации) для YouTube-роликов.
— Строгое соблюдение всех сроков и дедлайнов по производству.
— Работа в паре с опытным специалистом-куратором, выполнение поставленных задач.
— Полное и непосредственное участие во всех обсуждениях, привнесение новых идей и креатив, а также идеи, направленные на постоянное улучшение уровня качества продукта.
Требования:
— Уверенное владение инструментами для AI-генерации: Google Cloud VEO, Sync.so, ElevenLabs и т.п.
— Профессиональное владение профильным софтом: Adobe Premiere Pro, Adobe After Effects, Cinema 4D и т.п.
— Понимание принципов работы с экспрессивной речью и мимикой, умение добиваться реалистичности от сгенерированного материала, опыт работы с использованием промтов.
— Релевантный опыт в моушен-дизайне и создании инфографики.
— Творческий подход, усидчивость и внимательность к мелким деталям.
Условия:
— Уровень дохода: высокий, размер обсуждается индивидуально по итогам собеседования.
— Рабочий график: полный рабочий день без совмещения, понедельник–суббота, 09:00–18:00 по МСК.
Ищем Growth Product Manager в AI-команду с двумя направлениями:
• consumer AI-приложение в РФ
• prosumer AI-платформа на рынок US
У нас много пространства для роста: новые рынки, каналы, продуктовые механики и модели монетизации. Нужен человек, который будет находить эти точки роста, быстро проверять гипотезы и смотреть на результат в цифрах
Что предстоит делать:
• Искать и запускать growth-гипотезы на стыке продукта, маркетинга и бизнеса
• Улучшать onboarding, paywall, conversion-механики и продуктовые воронки
• Тестировать новые гео, лендинги, каналы привлечения и модели монетизации
• Запускать продуктовые механики, которые влияют на acquisition, retention и revenue
• Самостоятельно работать с данными и оценивать влияние решений на ключевые метрики и P&L
• Вести задачи end-to-end: гипотеза → запуск → данные → выводы → следующая итерация
• Подхватывать операционные и интеграционные задачи, если они напрямую влияют на рост
Что важно:
• Опыт в Product, Growth или Product Marketing
• Хорошее понимание acquisition, conversion, retention и monetization
• Умение работать с данными и принимать решения на их основе
• Ориентация на бизнес-результат, а не на количество закрытых задач
• Высокая самостоятельность и готовность работать руками
• Способность быстро двигаться и спокойно работать с меняющимися приоритетами
• Опыт запуска новых продуктов, направлений или собственных проектов будет плюсом
• AI-first подход: Claude, AI-агенты и другие AI-инструменты – часть ежедневной работы
• Английский B2+
Главное – уметь превращать идеи в измеримый результат: больше пользователей, выше конверсия, больше revenue, эффективнее acquisition
Что предлагаем:
• Много свободы и прямое влияние на продукт и бизнес-результат
• Возможность работать с двумя AI-продуктами и разными рынками, включая США
• Быстрый цикл от идеи до запуска без долгих согласований
• Сильная команда с выходцами из Google, Rask. ai и Chatfuel
• Full-time, remote
УдалённоГеография найма не уточнена
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Задачи:
— Доработка существующих разделов и добавление новых.
— Интеграция с новым API вуза, работа с REST-сервисами.
— Исправление багов по логам Crashlytics и обратной связи от пользователей.
— Обновление приложения под новые версии Android (targetSdk 36+).
— Оптимизация push-уведомлений и фоновых задач.
— Рефакторинг Compose-экранов, улучшение UI/UX.
— Выпуск обновлений в Google Play, работа с внутренним тестированием.
— Написание тестов на критичные сценарии (авторизация, расписание, оплата).
Требования:
— Уверенное владение Kotlin (включая корутины, Flow, sealed-классы).
— Опыт коммерческой разработки на Jetpack Compose.
— Практика работы с Hilt (Dagger): компоненты, скоупы, @HiltViewModel.
— Опыт интеграции с Retrofit и настройки сетевого слоя.
— Работа с Room: сущности, DAO, миграции, Flow-запросы.
— Понимание MVVM / Clean Architecture, принципов SOLID.
— Опыт работы с существующим проектом (brownfield) — умение разбираться в чужом коде.
— Уверенная работа с Git и понимание CI/CD-пайплайнов.
— Опыт публикации и обновления приложений в Google Play.
Будет плюсом:
— Опыт разработки на Swift / iOS — сможете синхронизировать логику между платформами и подстраховать iOS-направление.
— Знание Kotlin Multiplatform (KMP).
— Опыт в EdTech, корпоративных или государственных приложениях.
— Понимание специфики интеграций с 1С / ERP-системами.
Личные качества:
— Самостоятельность: умеете сами найти баг, предложить решение и согласовать его.
— Аккуратность: не ломаете прод, пишете тесты на критичные сценарии.
— Коммуникабельность: умеете общаться с заказчиком и переводить «сделайте удобно» в конкретные задачи.
— Ответственность за результат и внимание к деталям.
Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai on a Flagship Deployment, you’ll lead the end-to-end deployment for one of Sierra’s largest and most strategic customers. You own how Sierra's AI agents come to life, often managing scaled deployments as well as new proofs of concept within the same account. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams and executives day to day. Oversee overall program management while ensuring ongoing executive alignment on the long term roadmap.
- Navigate enterprise complexity with cross-functional teams (engineering and product). At this scale, every big technical discussion is also a negotiation — you'll need to read the implications in real time, hold your ground, and steer toward the right outcome. Expect to work across business units, procurement, compliance, and senior execs.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
- Manage internal resourcing requirements. Ensure that your deployment is appropriately resourced today and into the future
- Drive financial success for both the customer and Sierra. Ensure value exchange is optimized, drive revenue upside for Sierra, and work internally to manage down cost to serve over time, improving margins.
- Partner with Sales on commercial strategy. You are a key player in closing new business within the deployment by identifying opportunities, aligning resources, and
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Plan, organize, and execute on-site business reviews onsite at a Fortune 100 company with Sierra cofounders in attendance
- Manage a portfolio of agents across a customer deployment as they scale nationally, to new use cases, and grow in technical complexity
- Build relationships throughout the customer’s organization, unlocking high trust, social capital, and ultimately new ARR
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU’LL BRING
- Proven track record: 10+ years of relevant experience driving results in high stakes situations in an enterprise customer facing role, ideally in a dedicated, embedded model with a named enterprise account — you know what it means to be accountable for a relationship at that depth.
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- You've run a company, business unit, forward deployed team, or have comparable experience in general management of business initiatives that require technical aptitude, strategic leadership, operational excellence, and financial outcome accountability.
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Генерация видео и речи персонажей строго по готовому сценарию с использованием AI-инструментов.
— Профессиональный монтаж сгенерированного материала: создание качественных, бесшовных склеек для достижения эффекта съемки "одним дублем".
— Контроль качества речи: расстановка правильных пауз, ударений и работа над интонацией.
— Своевременное внесение правок по персонажам в процессе производства.
— Разработка и создание качественной анимированной инфографики (моушен-анимации) для YouTube-роликов.
— Строгое соблюдение всех сроков и дедлайнов по производству.
— Работа в паре с опытным специалистом-куратором, выполнение поставленных задач.
— Полное и непосредственное участие во всех обсуждениях, привнесение новых идей и креатив, а также идеи, направленные на постоянное улучшение уровня качества продукта.
Требования:
— Уверенное владение инструментами для AI-генерации: Google Cloud VEO, Sync.so, ElevenLabs и т.п.
— Профессиональное владение профильным софтом: Adobe Premiere Pro, Adobe After Effects, Cinema 4D и т.п.
— Понимание принципов работы с экспрессивной речью и мимикой, умение добиваться реалистичности от сгенерированного материала, опыт работы с использованием промтов.
— Релевантный опыт в моушен-дизайне и создании инфографики.
— Творческий подход, усидчивость и внимательность к мелким деталям.
Условия:
— Уровень дохода: высокий, размер обсуждается индивидуально по итогам собеседования.
— Рабочий график: полный рабочий день без совмещения, понедельник–суббота, 09:00–18:00 по МСК.
Компания Tabby — финтех-платформа BNPL (покупай сейчас, плати позже), предлагающая беспроцентные рассрочки для покупателей в Саудовской Аравии, ОАЭ и Кувейте.
Стек технологий включает Python, Go, PostgreSQL, Pub/Sub, BigQuery, GCS, Kubernetes, Google Cloud Platform, Airflow и микросервисную архитектуру.
Формат работы — удалённый.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from Canada in EST time zones
only
at this time.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
211,450
- CAD
253,740
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
124,571
- EUR
149,485
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Ireland, the Base compensation range for this role is EUR
133,600
- EUR
160,320
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Spain, the Base compensation range for this role is EUR
106,680
- EUR
128,016
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In Sweden, the Base compensation range for this role is SEK
996,819
- SEK
1,196,182
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP
117,949
- GBP
141,539
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from USA in EST time zones
only
at this time.
Senior Engineering Manager, Grafana Frontend
The Opportunity:
Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem.
As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana.
You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise.
AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What You’ll Be Doing:
Be accountable for the performance of
two
distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability.
Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs.
Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities.
Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands.
Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk.
Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through.
Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work.
Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities.
Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need.
Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work.
Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes.
Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions.
What Makes You a Great Fit
Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly.
A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers.
A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands.
Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes.
Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation.
An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams.
Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively.
Bonus Points For
Experience with React, TypeScript or comparable large-scale frontend ecosystems.
Experience leading a developer platform team, including support for plugins or extensions.
Experience with navigation, search, information architecture or resource-management products.
Experience delivering multitenant SaaS or major platform migrations.
Experience working on a widely adopted open-source product.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
208,602
- USD
250,322
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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 of this role
As a Senior Backend Engineer, Performance Enablement, you'll make performance testing and analysis easier for engineering teams to adopt and own. You'll build platforms, tooling, guidance, and artificial intelligence-assisted workflows that help teams identify performance risks during development and before they roll changes out to production.
We're moving from a hands-on consulting model to a self-service model. Service teams own their performance tests, analysis, thresholds, and evidence. We provide the paved road, documentation, skills, and expert support for challenging problems and new capabilities.
This is a backend and platform engineering role with room to grow in scope and influence. You'll help shape how Performance Enablement supports engineering teams, using artificial intelligence thoughtfully to accelerate design, implementation, testing, debugging, documentation, and automation.
You'll support work such as:
Enabling modular feature teams, including Orbit and Artifact Registry, to run performance testing through their own development and continuous integration workflows
Building reusable performance tooling, including component-level testing, load testing, performance analysis, and artificial intelligence-assisted engineering skills
Improving performance results, reporting, and trend visibility so teams can make informed decisions from their own evidence
Establishing the documentation, templates, and guidance needed to expand self-service adoption across research and development
What you’ll do
Build and evolve reusable backend platforms and tooling for performance testing and analysis.
Create self-service workflows, documentation, templates, diagnostics, and artificial intelligence skills that reduce the need for bespoke support.
Use development practices that apply artificial intelligence to accelerate implementation, testing, debugging, and technical documentation.
Influence engineering teams to make performance testing part of normal development and release preparation.
Turn early hands-on engagements into generalized capabilities that many teams can adopt independently.
Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities.
What you’ll bring
Experience building backend or platform software.
Experience building internal platforms or developer-facing tooling.
Experience partnering with development teams to improve their day-to-day workflows.
Experience using development practices that apply artificial intelligence across the software lifecycle.
Experience with software performance, such as performance analysis, optimization, benchmarking, or leading performance-related improvements.
Practical experience with Kubernetes, k6, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure.
Experience building durable solutions that support broad adoption using systems thinking.
Communicate clearly in writing and influence teams without direct authority.
About the team
Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We help GitLab teams make performance part of the software lifecycle.
Our goal is to make performance a shared responsibility of service-owning teams while providing a strong platform and center of expertise when teams need help. We work asynchronously, collaborate broadly across research and development, and focus on building capabilities that scale beyond individual team engagements.
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
$156,800
—
$235,200 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
.
Location: San Francisco
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Sales Development Representatives generate top of funnel pipeline at Attio, running outbound campaigns and progressing prospects who've dropped out of the funnel, working closely with our Account Executive team to move qualified opportunities forward. This role is foundational to pipeline generation and one of the clearest paths into broader GTM roles at Attio over time.
WHAT YOU'LL DO
- Run targeted, multi-channel outbound campaigns to generate net-new opportunities
- Progress prospects who dropped out of the funnel, turning stalled interest back into pipeline
- Coordinate with AEs to schedule meetings, share calendar context, and communicate early stage discovery
- Work cross functionally with Marketing and RevOps to improve targeting and process over time
- Own your outreach and prospect experience from first touch through AE handoff
- Partner with sales leadership to develop efficient lead funnel processes using Attio
WHAT WE'RE LOOKING FOR
- We are particularly interested in hearing from candidates with:
- A track record of owning outcomes and following through on commitments
- A habit of grounding decisions in evidence and reasoning, particularly when prioritizing across competing demands
- A genuine track record of seeking out feedback and acting on it
- Communication that adapts to different audiences
WHAT THE HIRING PROCESS LOOKS LIKE
- Talent Introduction (~30 minutes)
- Hiring Manager Interview (~30 minutes)
- Take-Home Exercise
- Take-Home Review with your Hiring Manager
- Meet the Team: Two focused conversations with key stakeholders
- Executive Leadership Conversation
- Offer
Location: San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
As a Senior Sales Operations Manager, you will be a strategic and operational partner to Fin’s Sales organization, helping build the systems, processes, reporting, and operating rhythms that enable our go-to-market teams to scale effectively.
You’ll work at the intersection of Sales, Finance, Business Systems, Data Engineering, Marketing, and GTM leadership. You’ll own critical sales operations programs across forecasting, pipeline management, territory and quota planning, compensation, performance reporting, and process optimization.
This is a high-impact role for a systems thinker and commercially minded operator who can move comfortably between detailed analysis, cross-functional program management, and executive-level recommendations. You’ll have the opportunity to improve how Fin’s sales organization operates while helping scale the GTM engine behind one of the fastest-growing AI products in the market.
What will I be doing?
Own and optimize core sales operations processes, systems, and operating cadences across the sales organization.
Partner with Sales leadership and Finance to build and maintain forecasting processes, pipeline reporting, quota models, attainment tracking, and performance insights.
Develop clear, trusted reporting and dashboards that give leaders visibility into funnel health, productivity, conversion, win rates, capacity, and revenue performance.
Lead territory planning, segmentation, coverage, and capacity analysis to support efficient allocation of sales resources.
Partner with Finance and Sales leadership on compensation planning, plan administration, performance measurement, and reporting.
Translate business requirements into scalable solutions across CRM, BI, sales planning, compensation, and other GTM systems.
Partner with Business Systems and Data Engineering to improve data quality, data models, integrations, automation, and reporting infrastructure.
Identify and eliminate operational bottlenecks across the sales cycle, including lead routing, opportunity management, approvals, contracting, handoffs, and post-sale transitions.
Establish and maintain consistent definitions, governance, documentation, and processes for key sales metrics and data.
Lead complex cross-functional projects from discovery through implementation, including requirements gathering, stakeholder alignment, testing, rollout, and change management.
Build executive-ready analyses and recommendations that help leadership make decisions about growth, investment, productivity, and organizational design.
Use AI tools and automation thoughtfully to reduce manual work, improve data access, and increase the speed and quality of sales execution.
Create scalable operating processes that support growth without requiring linear increases in headcount.
Act as a trusted advisor to sales leadership on performance trends, operational risks, process improvements, and strategic priorities.
Support quarterly and annual planning activities, including business reviews, headcount planning, goal-setting, and operating plan development.
What skills do I need?
5+ years of experience in Sales Operations, Revenue Operations, GTM Strategy, Sales Strategy & Operations, Business Operations, or a related field, preferably in a high-growth technology or SaaS company.
Strong understanding of sales processes, forecasting, pipeline management, quota and territory planning, compensation, and sales performance metrics.
Experience owning or significantly improving CRM, BI, planning, compensation, or revenue technology systems.
Strong analytical skills, with the ability to translate complex data into clear insights and practical recommendations.
Advanced Excel or Google Sheets skills and experience with BI or reporting tools such as Tableau, Looker, Power BI, or similar.
Familiarity with Salesforce or comparable CRM platforms; experience partnering with Business Systems or Data Engineering teams is highly valuable.
Experience designing scalable processes, data governance frameworks, reporting systems, and operational workflows.
Ability to manage complex, cross-functional programs with multiple stakeholders and competing priorities.
Strong commercial judgment and the ability to connect operational improvements to revenue outcomes.
Excellent written and verbal communication skills, including the ability to present recommendations to senior leaders.
Comfortable working hands-on in the details while maintaining a strategic view of the broader business.
AI fluency and curiosity about applying AI, automation, and emerging tools to improve sales productivity and operational efficiency.
High ownership, sound judgment, intellectual curiosity, and a bias toward action.
Comfortable and energized operating in a fast-moving, ambiguous environment where priorities evolve quickly.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $162,000-$180,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
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Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Join Honeycomb as a Senior Financial Analyst and be a key player in our growing FP&A team! Reporting to the Director of FP&A, you'll partner primarily with our R&D organization — product and engineering — as the finance lead for how we understand and manage the cost of running Honeycomb. You'll take ownership of our BI and planning tool (Pigment), continue and improve our cloud-hosting-cost (COGS) analysis, and support R&D capitalization, forecasting, and planning. This role suits someone who takes initiative, solves problems analytically, and actively drives process improvements in a fast-paced environment, and who's comfortable collaborating cross-functionally with engineering, product, data, and IT. If you're ready to make an impact and grow with us, we'd love to hear from you!
What you’ll do in the role:
Own and improve our cloud-hosting-cost (COGS) analysis — breaking hosting spend (e.g., compute, storage, and AI/LLM usage) down by area and by customer to understand customer-level usage and margin
Take ownership of Pigment, our BI and planning tool — building and maintaining reports and supporting forecasting and monthly and quarterly close
Partner with engineering on R&D capitalization, capitalizing engineering time for the products they help build
Run forecasting and planning for the R&D organization, including headcount and software planning
Track and help manage our AI/LLM tooling costs, monitoring usage against budget
Collaborate cross-functionally with engineering, product, data, and IT to improve our financial processes and reporting
Support the finance team on special projects and ad-hoc analysis, with a focus on improving processes and scalability as we grow
What you’ll bring to the role:
Bachelor's Degree in Accounting, Finance, Economics, or a comparable field — or equivalent practical experience
5+ years of FP&A, strategic planning, or P&L management experience at a SaaS company
A technical orientation, with the ability to partner directly with engineering and product teams
Expert in Excel and Google Sheets, comfortable with a range of modeling techniques, and able to build analysis and models that influence decisions
Experience with ERP and financial planning/BI tools — Pigment (or a comparable tool such as Mosaic) a strong plus
Comfortable in an ambiguous, fast-paced environment: driving results, solving complex problems, and exercising judgment across multiple sources of information
Strong quantitative skills and the ability to connect the dots across data sources to inform decisions
Familiarity with cloud/hosting cost structures, R&D capitalization, or SQL a plus
Base Salary based on level of experience
$125,000
—
$170,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
ОфисSan Francisco, CA; New York, NY
seniorCanada (Remote)
seniorGermany (Remote)
seniorRepublic of Ireland (Remote)
seniorSpain (Remote)
seniorSweden (Remote)
seniorUnited Kingdom (Remote)
seniorUnited States (Remote)
УдалённоseniorRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only