Задачи:
— Полное ручное тестирование мобильного приложения на Android и iOS (функциональное, интеграционное, UX/UI, совместимости устройств и версий ОС, локализация, базовое нагрузочное тестирование).
— Планирование и выполнение регрессионного тестирования для релизов и хотфиксов, определение приоритетов тестов и зон риска.
— Создание и поддержка тестовой документации: тест-планы, чек-листы, тест-кейсы, отчёты о тестировании.
— Оформление детализированных баг-репортов, контроль жизненного цикла багов и верификация исправлений.
— Участие в ревью требований и игровых дизайнов, оценка рисков и предложение улучшений качества.
— Взаимодействие с разработчиками, геймдизайнерами, аналитиками и продюсерами.
— Участие в анализе инцидентов продакшена и поиске корневых причин.
Требования:
— 4–5+ лет опыта в тестировании мобильных игр, включая коммерческие релизы на iOS и Android.
— Понимание полного цикла разработки игр и роли QA на всех этапах (прототип, soft launch, глобальный релиз, live-ops).
— Опыт ведения фичей под ключ: проработка требований, планирование, подготовка тестового покрытия, тестирование на всех этапах, сопровождение релиза и контроль качества после выката.
— Опыт с клиент-серверной архитектурой игр (авторизация, прогресс, матчмейкинг, внутриигровые события).
— Опыт работы с игровыми движками (преимущественно Unity).
— Опыт тестирования монетизации: in-app покупки, подписки, реклама, проверка интеграций сторонних SDK.
— Опыт работы с системами контроля версий (Git/GitHub/GitLab) и базовое понимание CI/CD-пайплайнов.
— Навыки работы с инструментами анализа трафика и API (Postman, Charles Proxy и/или аналогичные).
— Опыт работы с аналитическими платформами (Firebase Analytics, Appsflyer, Adjust, Amplitude).
— Уверенные навыки работы с Jira и Confluence; опыт ведения тестовой документации в TestRail или аналогах (Qase, Zephyr, Xray, Testmo).
Условия:
— Гибкий график, никаких трекеров времени, ориентируемся на результат.
— Удалённая работа с возможностью отсутствия при уведомлении через Slack.
— Компенсация обучения, онлайн-английский, техника при необходимости.
— 21 рабочий день отпуска + 2 day off + 3 sick day, зимние каникулы 2 недели и дополнительные праздники.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
This role owns how Higgsfield measures its product - from the first sign-up to whether people come back.
You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.
You make sure:
- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint
You are the person who decides what “it worked” means.
WHAT YOU WILL DO
Product measurement
- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.
Experimentation
- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.
Product & monetization analysis
- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.
Making it usable
- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
We're looking for an analyst with opinions.
You should have:
- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
About The Opportunity
The Chief Auditor will serve as MoonPay's internal audit executive, responsible for designing, building, and leading an independent, risk-based audit function across MoonPay. This is a rare opportunity to build a best-in-class audit capability from the ground up within a crypto-native company at the intersection of traditional finance, digital asset infrastructure, and global regulatory complexity. The Chief Auditor will provide the MoonPay Board and senior leadership with independent assurance that MoonPay's risk management, control environment, and governance frameworks are operating effectively across a multi-entity global footprint.
What you'll do
Lead the design, development, and management of MoonPay's internal audit function from inception.
Establish risk-based audit plans aligned with enterprise risk management and strategic objectives.
Provide independent assurance to the Board and senior leadership on risk management, controls, and governance.
Oversee audit execution, including scoping, fieldwork, reporting, and follow-up on remediation actions.
Collaborate with external auditors and regulators to ensure regulatory compliance and continuous improvement.
Build and lead a high-performing audit team, fostering a culture of accountability and continuous learning.
Requirements
Experience designing, building, and directing an internal audit function in a complex, multi-entity global organization.
Strong knowledge of risk management, control environments, governance frameworks, and regulatory expectations across multiple jurisdictions.
Proven ability to work with executive leadership and the board to translate risk into actionable insights.
Experience in crypto, digital asset infrastructure, or financial services is highly desirable.
Excellent leadership, communication, and collaboration skills.
Qualifications
Significant senior-level internal audit leadership experience (e.g., Head of Internal Audit, Chief Auditor).
Demonstrated track record of building an audit function from the ground up in a fast-paced environment.
Relevant professional certifications (e.g., CIA, CPA, CISA, CA, or equivalent).
Strong understanding of regulatory, legal, and compliance frameworks applicable to digital assets and fintech.
Team description
Lead and develop MoonPay's internal audit team, collaborating with risk management, compliance, finance, and operations to provide comprehensive assurance across the organization.
Tech stack
Experience with audit management tools, data analytics, and regulatory technology; familiarity with platforms used for risk assessment, control testing, and governance reporting in a global, crypto-enabled environment.
Benefits & perks
Competitive compensation and equity opportunities.
Comprehensive health, dental, and vision plans.
Flexible work arrangements and a dynamic, high-performance culture.
Opportunities to shape a growing function at the intersection of finance and crypto.
Who you are
A strategic leader with hands-on experience building and running an internal audit function in a global, regulated setting.
Discerning, detail-oriented, and capable of communicating complex risk concepts to diverse audiences.
A collaborator who can influence at the Board level and partner across functions.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD
Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing.
So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written.
Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us.
An Organic Growth Manager here is a high-agency operator who:
- treats SEO, AEO and GEO as one channel, not three disciplines;
- turns observations into hypotheses, tests them, and scales what moves the number;
- builds systems and automations instead of doing the same research by hand every week;
- moves work through adjacent teams, not just through their own hands;
- owns the line from visibility to sign-ups, not just rankings.
WHAT YOU WILL OWN
Visibility across search and AI assistants
- Understand how Higgsfield and competitors appear across Google and across LLMs — and why;
- Map how people actually ask for products in our category, and identify the queries worth winning;
- Find the gaps and the weak spots, including results that currently work against us.
The source ecosystem
- Understand which sites, communities, creators and formats different engines trust and retrieve;
- Shape what information exists about Higgsfield online and how our category gets described;
- Work with content, product and external partners to turn that into things that actually get published.
Measurement and experimentation
- Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics;
- Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work;
- Continuously test new sources, formats and tools as the engines evolve.
WHO WE'RE LOOKING FOR
We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else.
Must-have
- A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours;
- You turn data into decisions — and can explain why that decision and not another
- Technically curious: you figure out new tools, systems and data on your own;
- Has built or automated something before, rather than doing the same thing by hand every week;
- Can move work through adjacent teams and external sites, strong cross-functional and partner skills
- Fluent English, and comfortable working with content when needed;
- High ownership: you don't wait for a task list, you understand the goal and figure out how to get there;
Good to have
- Experience in SEO, growth, analytics, content, engineering or automation;
- Familiarity with LLM retrieval, RAG, or technical SEO;
- Your own project, product or business — anything you built without a brief;
- Strong understanding of the GenAI ecosystem.
WHAT THIS ROLE IS NOT
- It's not a channel with an existing playbook to execute;
- It's not a role where someone hands you a task list;
- It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in Almaty, Kazakhstan;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success.
ROLE
We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting.
- Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool
- Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting
- Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance
- Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting
- Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance)
- Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis
- Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency
- Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting
- Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team
- Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities
PROFILE
- 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment
- Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred
- Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly
- Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike
- Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar)
- Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs
- Ability to structure a data governance approach at the scale of a Finance function
- Familiarity with accounting close processes is a plus
- Prior mentoring experience (junior analyst, intern, or apprentice) is a plus
- Fluent in both French and English
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Dublin, IE
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
As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience
Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices
You may be a good fit if you have:
5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets
Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€155.000
—
€205.000 EUR
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities.
You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements.
This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.
WHAT YOU WILL DO
Operating System & Automation
- Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE.
- Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP.
- Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team.
Value Intelligence & ROI
- Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value.
- Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value.
- Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence.
Processes, Ways of Working & Cross-Functional Collaboration
- Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle
- Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel.
- Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering.
- Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution.
- Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities.
- Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.
- Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.
- Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems.
- Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions.
- Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges.
- Native-level fluency in English; additional European languages are a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Berlin, Munich (Germany)
Marketing Operations Manager
- Join Our Innovative Team at thinkcell Software
Our Story
At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence.
What You Will Do
We are seeking an experienced Marketing Operations Manager to join our Revenue Operations team as the dedicated Marketing Operations partner. In this role, you will work closely with Marketing leadership to design scalable processes, optimize campaign operations, and translate business strategy into operational execution.
As part of the Revenue Operations team, you will serve as the dedicated Marketing Operations partner, working closely with Marketing leadership, GTM Systems, and other Revenue Operations functions to design scalable processes, optimize campaign operations, and ensure our marketing technology, data, and reporting support the company's continued growth.
Key Responsibilities:
Serve as the primary Revenue Operations partner for the Marketing organization.
Participate early in planning for new marketing initiatives and campaigns.
Identify risks, dependencies, and downstream impacts before execution.
Own campaign operations governance, prioritization, and delivery oversight.
Oversee campaign execution across email, webinars, forms, landing pages, and lifecycle programs.
Ensure marketing campaigns comply with applicable privacy regulations, consent requirements, and email marketing best practices.
Partner with Revenue Operations and GTM Systems to improve automation, lead management, and marketing processes.
You will be great for this position if you have
Bachelor's degree in Marketing, Business, Communications, or a related field.
5+ years of Marketing Operations experience.
Experience partnering directly with Marketing leadership.
Strong understanding of Salesforce Marketing Cloud, Salesforce Sales Cloud and marketing technology ecosystems.
Experience with campaign operations, lifecycle marketing, and lead management.
Strong project management and stakeholder management skills.
Excellent analytical, communication, and problem-solving abilities.
Ability to balance strategic thinking with operational execution.
Preferred Qualifications
Experience supporting global marketing organizations
Experience with reporting and marketing analytics
Knowledge of marketing compliance and data governance
Experience leading process improvement or change management initiatives
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence.
thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the role
You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked.
Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration.
You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward.
What you'll own
Microsoft Entra ID and Microsoft 365
– Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities.
– Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging.
– Authentication methods policy and phishing-resistant factors.
– Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code).
– App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle.
– SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation.
– Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support.
– Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation.
– Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages.
– Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning.
– Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform.
– Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries.
– Cross-tenant access settings and B2B external collaboration.
Automation
– PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification.
– Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud.
– Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate.
– Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries.
– Automation treated as production code: version control, peer review, documented rollback.
What you'll bring
We care about what you can do, not which products appear on your CV. Concretely, you can:
– Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor.
– Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema.
– Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run.
Experience we expect
– 3+ years administering Microsoft Entra ID in production as a primary responsibility.
– Microsoft 365 tenant: settings, licensing, admin roles, Service Health
– Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC
– Microsoft Defender: threat policies, quarantine, message trace
– Power Platform: environments, DLP connector policies, maker access
– PowerShell: Exchange Online module, Microsoft Graph SDK
– Enterprise applications, app registrations, consent and permission models, automated provisioning.
– Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms.
– Least privilege, secure administration, change management, and the discipline to leave configurations documented.
– Written and spoken English at B2 or higher.
Nice to haves
– SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise.
– Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management.
– Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel.
– Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials.
– Google Cloud workload identity federation, custom roles, organization policy constraints.
– Git, CI/CD practices, Pester, Bicep, or Terraform.
– Access evidence for SOC 2, ISO 27001, or comparable audit cycles.
#
LI
-RK1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Your responsibilities will include:
Develop and maintain Python-based API integrations between our HR information system (HRIS) and business systems, including finance, travel, expense management, and recruiting platforms.
Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure.
Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization.
Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform.
Own integrations through implementation, testing, deployment, and production support; respond to alerts and troubleshoot issues across APIs, Azure services, and data sources within agreed SLAs.
Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes.
Work with business stakeholders to clarify requirements and maintain technical documentation as part of each change.
We expect you to have:
3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure.
Practical experience with Azure compute and integration services. Our stack includes Azure Functions, App Service, Container Apps, Container Instances, Service Bus, and API Management.
Practical Python development skills, including maintaining and debugging existing services and automations.
Experience integrating REST APIs, webhooks, and Microsoft Graph API, with an understanding of pagination, rate limits, retries, and idempotency.
Experience working with CI/CD pipelines and Terraform for Azure deployments.
Good understanding of OAuth 2.0, Microsoft Entra ID, and managed identities for secure authentication and service-to-service access.
Experience designing and working with relational databases (PostgreSQL, MSSQL, etc.).
Experience with automated testing and diagnosing production issues through logs, monitoring, and alerts.
It will be an added bonus if you have:
Experience integrating HRIS or other business systems, such as ERP, expense management, or recruiting platforms.
Azure certifications (AZ-204, AZ-900, AZ-104).
Hands-on experience with Application Insights and Log Analytics.
Experience using AI-assisted development tools, with the ability to critically evaluate their output.
#LI-RK1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Kuala Lumpur, Malaysia; Vilnius, Lithuania
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
We are looking for an experienced STR / Investigations Manager to oversee financial crime investigations and the Suspicious Transaction/Activity Reporting (STR/SAR) process. The role will ensure investigations and regulatory reports are completed to a high standard, filed within applicable regulatory timelines, and supported by clear, defensible analysis.
Key Responsibilities
Lead the end-to-end financial crime investigation and STR/SAR process, from case escalation and investigation through review and regulatory filing.
Review and approve investigations, STR/SAR narratives and supporting analysis for accuracy, completeness and regulatory compliance.
Establish investigation and STR/SAR standards, procedures, quality controls and escalation thresholds.
Ensure regulatory filings are completed accurately and within applicable jurisdictional deadlines.
Ensure investigations are supported by sufficient transaction data, customer information, on-chain analysis and other relevant evidence.
Identify complex or high-risk cases and escalate material matters to the relevant MLRO.
Monitor investigation and STR/SAR quality, volumes, turnaround times and other key performance indicators.
Provide guidance, feedback and training to investigators and STR/SAR makers to continuously improve investigation and reporting quality.
Work closely with MLROs, AML Operations, Transaction Monitoring and other Compliance teams on emerging typologies, control gaps and remediation.
Support regulatory enquiries, audits and reviews relating to investigations and suspicious transaction reporting.
Requirements
6+ years of relevant experience in AML, financial crime investigations, transaction monitoring or suspicious transaction reporting, with experience reviewing or approving STRs/SARs.
Strong understanding of AML/CFT requirements, investigation methodologies and regulatory reporting expectations.
Experience leading or providing oversight of investigators, STR/SAR analysts or similar financial crime operations.
Strong ability to assess complex transaction patterns and produce clear, defensible investigation conclusions.
Experience with transaction monitoring, case management and blockchain analytics tools.
Experience in digital assets, crypto, fintech, payments or financial services strongly preferred.
Strong analytical judgement, attention to detail and ability to operate across multiple jurisdictions and regulatory requirements.
Profile
Strong investigative judgement with the ability to distinguish genuinely suspicious activity from false positives.
Comfortable making and defending escalation and filing decisions.
Hands-on and able to operate effectively in a high-volume, fast-moving environment.
Strong focus on investigation quality, regulatory defensibility and continuous process improvement.
Interest in leveraging technology and AI to improve investigation quality, consistency and efficiency.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius
is looking for a Security Risk
Lead
to strengthen security risk management across our global AI cloud infrastructure, products, business operations, and strategic programs.
This is a senior, hands-on individual-contributor role with end-to-end ownership of security risk assessments, the security risk register, remediation tracking, risk acceptance, and risk reporting. The successful candidate will work closely with engineering, cloud infrastructure, product, security, compliance, legal, and business teams to ensure that material risks are
identified
early, assessed consistently, and driven toward clear treatment decisions.
The role requires strong judgment, technical understanding, and the ability to influence stakeholders without relying on formal authority.
Your responsibilities will include
Risk Assessment
Lead security risk assessments for infrastructure, cloud environments, products, applications, business processes, and major technology changes.
Conduct risk assessments for new initiatives, systems, and significant changes, including supporting M&A-related risk assessment work alongside the due diligence team.
Evaluate the design and effectiveness of controls and identify residual risk following mitigation.
Identify emerging and systemic risks that may affect multiple services, regions, or business functions.
Risk Register & Tracking
Maintain the security risk register: log new risks, update status, track owners, and follow items through to remediation or formal risk acceptance.
Support the ongoing refinement of Nebius's risk assessment and risk register processes, contributing improvements as the practice matures.
Coordinate with other GRC functions on findings and gap assessments that carry risk implications, and independently determine whether a given finding warrants a risk register entry.
Metrics & Reporting
Maintain and improve security risk assessment, scoring, prioritization, and acceptance processes.
Define and monitor meaningful Key Risk Indicators and risk trends.
Translate complex technical risks into clear business impact for senior leadership and governance forums.
Prepare risk reporting that supports security posture reviews, strategic decision-making, and Board-level reporting.
Support auditors, customers, and internal stakeholders on security risk management matters.
Cross-Functional Coordination
Work closely with other GRC functions to ensure risk assessments reflect current operating reality.
Partner with engineering and business stakeholders to embed risk thinking into day-to-day decisions, building trust through clear, practical communication rather than formal authority.
Build trusted relationships with risk and remediation owners while maintaining independent and objective judgment.
We expect you to have
5-8 years of experience in security risk management, IT risk, GRC, or a closely related discipline.
Hands-on experience running risk assessments and maintaining a risk register, including driving items through to remediation or formal risk acceptance.
Solid understanding of risk scoring and prioritization approaches, and the judgment to apply them consistently and defensibly.
Ability to define and track meaningful risk metrics/KRIs for leadership reporting.
Strong organizational and analytical skills, with the ability to manage multiple concurrent risk items without losing accuracy or follow-through.
Strong communication and stakeholder management skills; comfortable working across security, compliance, engineering, and business teams.
Familiarity with cloud infrastructure and technology environments is an advantage.
Relevant certifications (e.g., CRISC, CISSP) are an advantage, not a requirement.
Bachelor's degree in information security, computer science, engineering, or a related field preferred; equivalent practical experience will be considered.
Excellent written and verbal communication skills in English.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a VP of Sales to join our Business Development team based in London. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
WHAT YOU'LL DO
- Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
- Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
- Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
- Develop and deliver compelling business cases & ROI analyses for potential customers.
- Build relationships with key decision-makers and stakeholders in target industries.
- Partner with product & engineering to align solutions with customer needs.
- Track market trends and competitor activity to refine go-to-market approaches.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Business, Engineering, or a related field.
- Background in robotics, automation, or advanced manufacturing technologies.
- 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
- Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
- Strong network in the relevant industries and a track record of securing strategic partnerships.
- Exceptional negotiation, communication, and presentation skills.
- Expertise in calculating ROI and developing bulletproof business cases.
- Strong analytical and problem-solving skills with a results-driven mindset.
- P&L management and financial modeling experience.
- Ability to thrive in a fast-paced, high-pressure environment.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
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Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
География найма не уточнена
London
Berlin, Munich (Germany); We encourage applicants from all backgrounds to apply
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