Location: Kyiv, Ukraine
Workplace: Hybrid
[https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png]
HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає:
→ My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші
→ My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу
→ My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу
___________________________________________________________________________
HOLYWATER TECH СЬОГОДНІ — ЦЕ:
- понад 100+ млн завантажень застосунків
- стратегічне партнерство з FOX Entertainment
- х2 рази — щорічне зростання компанії за 2024-2025 роки
- 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie
- понад 100 млн годин переглянутого та прочитаного користувачами контенту
- провідні позиції у своїх нішах на ринках США та Європи
___________________________________________________________________________
Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо Data Analyst, хто готовий/-а долучитися й творити його разом із нами.
ТВОЯ МІСІЯ:
Допомогти масштабувати альтернативні канали залучення користувачів — SMM, Organic та Affiliate Marketing — через якісну аналітику, дослідження та data-driven рішення.
- Розвивати та вдосконалювати Marketing Mix Modeling (MMM), щоб оцінювати реальний внесок маркетингових каналів у бізнес-результати.
- Стати аналітичним партнером для SMM, Organic та Affiliate Marketing команд: допомагати лідам ухвалювати рішення на основі даних.
- Створювати аналітичні інструменти, дашборди та data-продукти для оцінки ефективності каналів і пошуку точок зростання.
- Проводити глибокі дослідження поведінки користувачів, ефективності каналів залучення та їхнього впливу на конверсії й монетизацію.
- Розробляти та перевіряти гіпотези щодо масштабування альтернативних каналів залучення.
- Визначати ключові метрики, будувати систему моніторингу та знаходити можливості для оптимізації маркетингових інвестицій.
- Самостійно формувати аналітичний беклог, пріоритезувати задачі та пропонувати рішення, які матимуть вимірюваний вплив на бізнес.
___________________________________________________________________________
ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД:
- 2+ роки досвіду в Data Analytics, Product Analytics або Marketing Analytics.
- Впевнене володіння SQL: складні запити, CTE, віконні функції, робота з великими обсягами даних.
- Практичний досвід із Python для аналізу даних, автоматизації та статистичних досліджень.
- Досвід роботи з BI-інструментами (Looker, Tableau, Power BI або аналогами).
- Розуміння статистики, перевірки гіпотез, A/B-тестування та методів оцінки ефективності.
- Досвід побудови аналітичних моделей, метрик, дашбордів та інструментів для бізнес-команд.
- Розуміння маркетингових метрик, воронок залучення, конверсій та монетизації.
- Уміння самостійно знаходити інсайти в даних, формулювати рекомендації та пояснювати результати нетехнічним стейкхолдерам.
- Практичне використання AI-інструментів для прискорення аналізу даних, написання SQL/Python-коду та автоматизації рутинних задач.
___________________________________________________________________________
ЩО ОТРИМАЄШ ВІД НАС:
- Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української.
- Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там.
- Техніку та сервіси. Все, що треба для роботи.
- Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні.
- Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я&
___________________________________________________________________________
ЧОМУ З НАМИ КЛАСНО?
- Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті.
- Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10.
- Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу.
- Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають.
Можливо, це — твій шанс стати нашим наступним big name?
___________________________________________________________________________
ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ:
Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/
Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594
Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k
Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/
Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається
Хочеш творити історію разом із нами в HOLYWATER TECH?
Відгукнися на вакансію!
Location: Remote – CET (Paris time zone); Warsaw; Tallinn; Istanbul; Lisboa; Berlin; Tbilisi; Krakow; Bucharest; Kiev
Workplace: Remote
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
This position can be onsite (Paris) or full remote within CET time ±3h.
TEAM
Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.
Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher.
You will be joining one of our Live Studios, working on Paper.io http://Paper.io 2 https://play.google.com/store/apps/details?id=io.voodoo.paper2&hl=en_GB.
With Paper.io2, we’re building an iconic game that players will never forget!
We're a small team of excellent people who take care of everything from ideas to testing, and we intend to grow while maintaining our high standards.
ROLE
- Autonomously take ownership of the A/B testing cycle on Paper.io 2 https://play.google.com/store/apps/details?hl=en_GB&id=io.voodoo.paper2, validating feature values, refining key parameters, and optimizing monetization to drive core KPIs.
- Lead analysis of large, complex datasets to uncover player behaviors and growth opportunities.
- Translate data insights into clear, actionable recommendations that shape game design and the product roadmap.
- Collaborate closely with designers, product managers, and developers to embed data-driven decisions throughout the game lifecycle.
- Build and maintain dashboards and reports that keep the team aligned on critical metrics.
PROFILE
- 4+ years in analytical roles within gaming, comfortable working with product teams.
- Skilled in SQL and either R or Python; experience with complex, large datasets.
- Strong grasp of A/B testing and statistical analysis methods.
- Autonomous and pragmatic problem solver with a sharp analytical mind and attention to detail.
- Thrives in fast-paced live-ops/product-driven environments with rapid iteration.
- Creative thinker who challenges assumptions and sees beyond the obvious.
- Player-first mindset with genuine interest in games and player behavior.
- Excellent communicator who turns data into compelling, actionable stories.
- Collaborative team player who adapts quickly to change and ambiguity.
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work.
BENEFITS
- Best-in-class compensation
- Other benefits based on your country of residence
• От 5 лет опыта в Data Science / ML Engineering, из них от 2 лет в управлении DS/ML-командой. • Обязательный production-опыт с recommendation systems (retrieval, ranking, personalization).
УдалённоleadВаршава
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Serbia; Spain
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for
Engineering Manager
.
Your main tasks will be:
Lead a cross-functional team of 7–10 engineers (backend, frontend, QA, AQA)
Own end-to-end feature delivery, from requirements to release
Run the team’s development process: sprint planning, estimation, decomposition, DoR/DoD
Take part in feature design and technical decision-making
Ensure the reliability of the team’s services: monitoring, alerting, incident reviews, postmortems
Partner with the Product Manager on backlog prioritization
We expect from you:
3+ years of commercial development experience (.NET / Java / Python)
1+ year of experience leading a cross-functional team
Understanding of microservice architecture: REST / gRPC, RabbitMQ / Kafka
Observability: logging, metrics, tracing (ELK, Grafana, DataDog or similar)
Agile practices (Scrum / Kanban)
Nice to have:
Understanding of frontend architecture (React) and mobile development (React Native)
Knowledge of QA processes and test automation
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The AI Infrastructure team builds and operates the production systems that power intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and performant under real-world load.
Working closely with the Agent Systems team and broader infrastructure partners, this group owns the core primitives that enable agents to safely operate across internal systems. The environment is high-scale and high-stakes — systems serve millions of users and must meet strict reliability, latency, and correctness standards.
This is a deeply production-oriented team. Engineers here combine strong systems thinking with applied ML infrastructure experience, building in Rust and operating services where performance and failure modes matter.
THE OPPORTUNITY
- Design and build the infrastructure layer powering AI agent systems in production
- Develop high-performance Rust services that handle model inference, orchestration, and execution
- Architect scalable systems capable of supporting millions of users and high request throughput
- Build reliable ML infrastructure and MLOps patterns for model deployment, evaluation, and monitoring
- Define guardrails, observability, and failure handling for agent-driven workflows
- Optimize latency, throughput, and cost across inference and orchestration layers
- Partner closely with the Agent Systems team to translate experimental prototypes into hardened production systems
- Contribute to foundational infrastructure decisions in a high-scale, high-impact environment
WHAT YOU BRING
- 5+ years of experience building and operating high-scale production systems
- Strong proficiency in Rust and systems-level programming
- Deep understanding of distributed systems, reliability engineering, and performance optimization
- Experience operating services serving millions of users or high-throughput workloads
- Familiarity with ML infrastructure, model serving, or MLOps in production environments
- Experience designing observability, monitoring, and failure recovery systems
- Strong collaboration skills working across infrastructure and applied engineering teams
- High ownership mindset in high-stakes production environment
NICE TO HAVES
- Experience building infrastructure for agent-based or LLM-powered systems
- Background in high-performance networking, async systems, or low-latency architectures
- Experience with container orchestration and cloud-native infrastructure
- Familiarity with evaluation frameworks and model performance monitoring at scale
- Experience working in fast-moving 0→1 or platform-building teams
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS
- Director, Learning & Talent Development
- Location: Espoo, Finland
- Department: People & Culture
- Reports to: VP, People
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS
As Director, Learning & Talent Development, you'll build ICEYE's global L&D and talent development function from the ground up. This is a 0→1 leadership role: you will turn business strategy into the leadership practices, capabilities and talent systems that help us stay high-performing as we scale, with the strategy and the hands-on delivery both in your hands. You'll work closely with executive leadership, People Business Partners and leaders across Engineering, Hardware, Satellite Operations, Commercial and corporate functions.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Define ICEYE's global L&D and talent development strategy and operating model, and decide what to build internally, what to buy or enable through technology and partners, and what to keep lightweight
- Design and launch leadership and manager development, from first-time managers to senior leaders and executives, and facilitate workshops yourself, especially in the early stages
- Partner with People Business Partners and business leaders to build learning paths, career frameworks, talent reviews, succession planning and internal mobility for technical, commercial, operational and corporate teams
- Create a consistent global onboarding experience focused on time-to-productivity, connection and belonging, and set up the learning technology and measurement to show what is working
- Coach senior leaders through organisational change, and help them build resilience, psychological safety and sustainable ways of working without losing accountability or performance
WHAT WE'RE LOOKING FOR
MUST HAVES
- 8+ years of progressive People/HR experience, with significant depth in Learning & Development, Talent Development, Leadership Development or Organizational Effectiveness
- Proven experience building L&D or talent infrastructure from scratch, taking an idea from strategy through design, pilot, launch and scale
- Experience in a fast-growing, international technology, engineering, hardware or scale-up environment, working in a matrixed organisation
- Strong executive presence, exceptional facilitation skills, and the confidence to challenge leaders and influence without formal authority
- A data-informed approach to measuring learning impact, such as manager effectiveness, internal mobility, retention of critical talent and time-to-productivity
- Professional fluency in English
NICE TO HAVES
- Experience selecting and implementing learning technology and external partners
- Experience with organisational change and building resilience in high-pressure, technically complex environments
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Vazifalar: Web platformaga yangi imkoniyatlar qo'shish va xatolarni tuzatish ,Mobil ilova uchun API va background task’larini yozish, Pull request'larni (jumladan AI yozganlarini) review qilish.
Location: Valencia
Workplace: OnSite
ROLE HIGHLIGHTS:
- Software Engineer, Simulation and Modeling
- Location: Valencia
- Reports to: Reports to: Laboratory Lead & Test Architect
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability.
Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff.
You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables.
- Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically.
- Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume.
- Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency.
- Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler.
- Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use.
- Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations.
WHAT WE’RE LOOKING FOR
Must haves:
- Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging
- Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data
- Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness
- Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing
- Habits that make results reproducible: seeds, configuration management, data provenance
- Clear written and spoken English
Nice to haves:
- Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house)
- Radar, EW or emitter modeling; scenario or order-of-battle generation
- TDOA/FDOA/AoA geolocation or estimation theory
- Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces
- Cloud-native deployment, containers, workflow orchestration, and data stores for large runs
- A simulation framework of yours that outlived your involvement in it
- Eligibility for national security clearance (an advantage)
What success looks like:
- 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question.
- 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters.
- 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers.
APPLICATION PROCESS
- Application Screening
- TA call
- Hiring Manager call
- Onsite interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Singapore
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it.
Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to:
- Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case
- Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market
- Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption
- Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region
- Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases
- Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering)
- Partner with leadership on high-impact initiatives that support the local GTM team and global results
Requirements
- 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book
- Experience with voice AI, TTS, conversational AI, or developer-facing products
- A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more
- You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work
- Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy
- Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward
- Experience managing a high-volume book of business at scale, mid-market or commercial segment
- Language Requirements - Must be fluent in English and Mandarin
Growth Potential
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Growth Roles - Regional Adoption Lead
- Other teams: Account Management, Digital CX or Deployment Strategist
Location
This role is remote out of Singapore
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: 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're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role.
Senior Full-Stack Software Engineer, Grafana Data Source Plugins
The Opportunity:
As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide.
Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools.
What You’ll Be Doing:
Some data source plugins we own:
Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse. The full catalog is listed
here
.
A typical “day in the life” could include:
Building or improving Grafana plugins to integrate third party services or databases into Grafana
Supporting the operations and reliability of our plugins in Grafana Cloud
Coming up with suggestions for process improvements
Integrating data sources with agentic workflows such as Grafana Assistant
Providing technical support in customer escalations
Working closely with the rest of the Grafana Division
What Makes You a Great Fit:
You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects.
You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
You are a motivated self starter with a bias towards action, and willing to take on any challenge
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.
You are an excellent communicator and you enjoy collaboration
You are comfortable working in a remote-first company
Requirements:
Solid experience with Golang & Typescript
Experience with Kubernetes & microservices
Experience writing clean, robust, and performant software that is easily maintained by others
Experience participating in an on-call rotation and performing operations/SRE tasks
Bonus Points For:
You have been a user of Grafana and Grafana Data Sources
You have expertise in one of the underlying databases we support
You have strong experience working with a Product Manager or external stakeholders
In the United States, the Base compensation range for this role is CAD $
164,490 - $197,389
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
#LI-Remote
*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 position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
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.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $154,445 - $185.334. 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: 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 position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
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.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $164,490 - $197,389. 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: 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're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role.
Senior Full-Stack Software Engineer, Grafana Data Source Plugins
The Opportunity:
As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide.
Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools.
What You’ll Be Doing:
Some data source plugins we own:
Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse. The full catalog is listed
here
.
A typical “day in the life” could include:
Building or improving Grafana plugins to integrate third party services or databases into Grafana
Supporting the operations and reliability of our plugins in Grafana Cloud
Coming up with suggestions for process improvements
Integrating data sources with agentic workflows such as Grafana Assistant
Providing technical support in customer escalations
Working closely with the rest of the Grafana Division
What Makes You a Great Fit:
You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects.
You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward.
You are a motivated self starter with a bias towards action, and willing to take on any challenge
You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs.
You are an excellent communicator and you enjoy collaboration
You are comfortable working in a remote-first company
Requirements:
Solid experience with Golang & Typescript
Experience with Kubernetes & microservices
Experience writing clean, robust, and performant software that is easily maintained by others
Experience participating in an on-call rotation and performing operations/SRE tasks
Bonus Points For:
You have been a user of Grafana and Grafana Data Sources
You have expertise in one of the underlying databases we support
You have strong experience working with a Product Manager or external stakeholders
In the United States, the Base compensation range for this role is USD $
154,445 - $185,334
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
#LI-Remote
*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
.
About the Team Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
As a member of the Personalization team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time services in close collaboration with great engineers both within the team and across other teams such as the Ranking team.
The general goal of the Personalization team is providing best-in-class personalization for all e-commerce experiences provided by Constructor.
The job can consist of, but is not limited to:
Improve personalized experience across different products, domain verticals and platforms
Improve business KPIs by validating hypotheses around personalization
Research different personalization approaches to provide the best outcome to the business
Model user interactions to provide the best experience to shoppers
Collaborate with technical and non-technical business partners to develop and update personalization capabilities
Communicate with stakeholders within and outside the team
Requirements
Hard skills
3+ years of professional experience in applied machine learning
Proficiency with Python, SQL and the big data stack for end-to-end ML product development
Experience building, shipping, and maintaining personalization / recommender / ranking systems in production
Experience with any of the major public cloud platforms will be a plus
Experience with design and analysis of A/B tests
Great skills delivering & communicating business value to stakeholders
Soft skills
Excellent English communication skills
Experience collaborating in cross-functional teams
Ability to deep dive into problems and provide actionable outcomes
Ability to work autonomously and independently
Proactivity
Benefits
Work with smart and empathetic people who will help you grow and make a meaningful impact.
Regular team offsite events to connect and collaborate.
Fully remote team - choose where you live.
Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
Work from home stipend!
We want you to have the resources you need to set up your home office.
Apple laptops provided for new employees.
Training and development budget for every employee, refreshed each year.
Maternity & Paternity leave for qualified employees.
Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary.
Diversity, Equity, and Inclusion at Constructor
Constructor.io is committed to cultivating a work environment that is diverse, equitable, and inclusive.
As an equal opportunity employer, they welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
They encourage you to apply even if you don’t meet all of their listed qualifications.
How they handle your data
By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role.
If you are not selected, they will retain your data for a limited period as described in their Recruitment Privacy Notice.
After that period your data will be deleted or anonymized.
Location: Zürich, CH
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale.
Key responsibilities
Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person
Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations that need cross-team coordination
Join an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communicate clearly with users at every technical level
Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles
Spot patterns in support requests, surface recurring issues, and flag opportunities to automate
Help streamline onboarding and other high-volume operations as we scale
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Write scripts (Bash, Python) to automate repetitive tasks
Minimum qualifications
Hands-on IT support experience, ideally in a fast-paced environment
Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android
Experience with Google Workspace administration
Experience with Slack administration, including workspace management, permissions, and troubleshooting
Experience supporting and administering other SaaS tools
Understanding of identity and access fundamentals: SSO, MFA, directory services
Familiarity with MDM fundamentals and endpoint management concepts
Basic scripting (Bash or Python) for automation
Strong troubleshooting skills, with a methodical and persistent approach
Clear communicator who enjoys helping people solve problems
Take ownership of problems and follow through until they're resolved
Preferred qualifications
Familiarity with zero-trust security concepts and endpoint security tooling
Networking basics: DNS, DHCP, VPNs
Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns
Experience using AI tools to improve personal or team productivity
Interest in developing deeper technical skills and taking on more complex systems administration over time
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Ищем Influence Manager, который возьмёт на себя развитие influencer-направления бренда: поиск и привлечение блогеров и контент-креаторов, запуск рекламных интеграций, развитие партнёрств и анализ результатов.
Location: Mumbai, India
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About the role
The Senior Client Partner is responsible for driving advertising revenue growth by owning a portfolio of advertisers and/or agencies, building relationships with senior stakeholders, and delivering consultative, insight-led solutions that help clients achieve brand and performance outcomes on X. The role blends new business growth and account expansion, campaign strategy, and cross-functional leadership to deliver measurable results.
This is a frontline, growth-oriented role in a reseller market where X owns the territory end to end. The focus is firmly on hunting new business across the SMB and mid-market segment — expanding the long tail, driving new activations, and increasing active clients — rather than purely farming an existing book
What you'll do :-
Revenue & Growth (Core)
Own and grow a book of business; deliver quarterly/annual revenue targets through new spend, renewals, and upsell.
Hunt and win new business across
SMB and mid-market advertisers
, driving new activations and expanding the long tail of active clients.
Build and execute account growth strategies that create win/win outcomes for X and advertisers.
Develop and present consultative sales narratives showing how X advertising solutions connect brands with audiences and deliver outcomes.
Maintain a strong pipeline, forecast accuracy, and disciplined account planning to achieve targets.
Client & Agency Partnership
Establish and nurture senior relationships with advertisers and agency stakeholders; act as a trusted advisor.
Lead strategic QBRs, planning sessions, and joint business plans; align on objectives, audience, creative approach, and measurement.
Identify client business challenges and translate them into clear media strategies and platform solutions.
Operate a client-centric model with full agency ownership — no closed verticals — and the freedom to pursue any vertical or client base.
Market Leadership & Cross-functional Collaboration
Stay current on X product updates and the broader digital media landscape; translate market changes into client opportunities.
Collaborate with internal partners (measurement, creative, ops, product, client solutions) to deliver a strong client experience and resolve issues quickly.
What we are looking for :-
5+ years in digital media, platform, or ad-tech sales with a track record of exceeding quota and growing a book of business.
A purely digital recent track record — early-career offline/traditional media experience is fine, but recent experience must be in digital.
Demonstrated hunter mentality — aggressive, new-business-oriented, and comfortable building a book in an open, reseller market.
Strong, relevant network in the West and South India market — existing relationships with marketing decision-makers at brands and/or agencies, and a demonstrated ability to open new doors.
Background from a social media platform, OTT/streaming, or programmatic/publisher environment is strongly preferred (e.g. social platforms, streaming players, DSP/SSP and publisher partners).
Excellent communication, storytelling, and presentation skills; able to influence senior stakeholders.
Strong understanding of the digital advertising ecosystem (formats, measurement, targeting, brand vs. performance objectives).
Comfortable with data: ability to translate performance signals into insights and clear client recommendations.
Experience selling across both brand and performance objectives (and ideally video ad solutions).
Comfortable operating in fast-paced, high-change environments; strong collaboration and problem-solving.
What we offer :-
Work with X, a marquee global social platform — standout experience that few in the market can claim, and a strong differentiator for your career.
An open, uncontested market — X owns the territory here, so how you approach, acquire, and grow clients is genuinely up to you.
Real ownership — own your book end to end, with full agency ownership and a client-centric (not verticalized) model.
Territory that scales with you — your remit grows with your caliber, exposure, and the business you can demonstrably manage.
Autonomy and work-life balance — the freedom to own how you work, backed by a supportive, collaborative team.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
УдалённоseniorLocation: Remote – CET (Paris time zone); Warsaw; Tallinn; Istanbul; Lisboa; Berlin; Tbilisi; Krakow; Bucharest; Kiev; Remote – CET (Paris time zone)
УдалённоSerbia; Spain
УдалённоseniorUnited Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance