Location: Munich; Frankfurt
Workplace: remote
Azul seeks an experienced and enthusiastic Channel Account Manager to build the channel across Germany. This is an exciting role that demands initiative and enthusiasm. You will help close small and large (multi-million dollar) complex deals with Fortune 500 companies.
This role must research potential partners, connect with and educate prospects on our product offerings and qualify the leads. The primary focus will be to turn leads into qualified opportunities by partnering with marketing and sales to create and execute on program.
What You’ll Do (aka Responsibilities)
Identify and qualify prospective partners to resell Azul products to their customer base and via a partner program
Educate prospective partners on the partner program, requirements and deliverables
Develop opportunities for prospecting and marketing generated leads
Promptly and efficiently respond to, engage with and qualify inbound leads and inquiries from partners
Collaborate with sales and marketing team members on strategic sales approaches as it relates to partner productivity
Develop and execute a strong and effective prospecting plan of attack for new partners in Germany
Ensure successful follow through of sales cycle by maintaining accurate activity and lead qualification information in SFDC
Provide in depth information to both the Account Executives and the VP Sales in the region regarding recruitment efforts
Conduct new partner and ongoing enablement and training using the partner portal
Maintain accurate and thorough records for partner calls, emails, notes, tasks, demos and other relevant information in compliance with organization policy
Travel required across the region from time to time
What You’ll Bring (aka Experience, Skills Education)
Minimum 10+ years' experience in Channel sales working with global top tier partners such as SoftwareOne, Insight, SHI, Logicalis, etc. throughout Germany.
Minimum 5+ years' knowledge or experience working with development platforms or development tools.
Bachelor’s Degree and MBA is a plus
Any prior direct sales experience will be an advantage as well
Experience in SFDC and Clari preferred
Strong verbal and written communications
Excellent time management and organization skills
Strong negotiating skills
What we Offer
· Comprehensive compensation and healthcare packages
· Referral Program
· Work-life balance, remote-first, paid time off, company shutdown, holidays
· Work with top experts worldwide whom contribute to the Java ecosystem
Our Culture & Values
· Maniacal Customer Focus
· Innovation & Excellence
· Initiative & Courage
· Impact & Influence
· Integrity & Transparency
· Diversity, Inclusion & Teamwork
Employment at Azul is contingent upon the completion of reference and background checks.
Location: United States
Company Intro
At
Toloka AI
we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds,
representing over
100 countries and speaking 40+ languages
. We are a well-funded startup with an enviable portfolio of clients including
Anthropic
,
Amazon
,
Microsoft
,
Poolside
,
Recraft
, and
Shopify
.
Recently, we secured strategic investment led by
Bezos Expeditions
and
Nebius Group
with participation from
Mikhail Parakhin
,
CTO of Shopify
and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world:
USA
,
UK
,
the Netherlands
,
Serbia
, and more.
About position
The
Forward Deployed AI Engineer
is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions.
This is a
hands-on role
. You will design and build the
data-generation
,
labeling
, and
evaluation pipelines t
hat power the next generation of
AI models
. Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery.
Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring
Solution Engineers
and
Technical Consultants
.
Why this role is different
Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows.
This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated.
What you'll do
Executive partnership
Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Lead executive conversations using a structured, answer-first (BLUF) approach.
Manage escalations and expectations with composure and integrity.
Build long-term trusted relationships by recommending evidence-based solutions.
Data strategy & needs diagnosis
Ask
excellent questions
to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it.
Draw on a solid understanding of
how LLMs are trained and fine-tuned
to have credible conversations with their technical leaders, understand their data strategy, and
proactively propose the data
that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this").
Solution engineering & delivery (hands-on)
Design and build the data solutions yourself:
configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into
automated, multi-stage pipelines
that produce data for AI training and evaluation.
Architect and reason about
complex, multi-stage solutions
end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production.
Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization.
Commercial ownership
Own delivery end to end - timelines, quality, and scalability - and the
commercial outcome
: Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described.
Identify and drive expansion opportunities.
About You
No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you.
Executive communication.
You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential.
Strong understanding of modern LLM development.
You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions.
Hands-on solution engineering.
You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions.
Solid software engineering foundations.
You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus.
Exceptional discovery and problem framing.
You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies.
Seniority and track record.
8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage.
Ownership mindset.
You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success.
Nice to have
Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models).
Advanced degree (MSc/PhD) in AI, CS, or a related field.
Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients.
What we can offer
Freelance (B2B) collaboration
, with a path into a project team if things go well;
Flexible, fully remote schedule (
40 hours per week
);
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;
Projects with customers that are AI industry leaders and well-known household names;
Friendly community.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:
Official Communication:
Our recruiting team will
only
contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process:
We will
never
ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings:
All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at
security@toloka.ai
and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: Boston, MA
Workplace: OnSite
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise.
As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems.
Responsibilities:
- Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers.
- Improve ML data pipelines, tooling, and validation systems that support robust model performance.
- Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
- Collaborate with researchers and Product teams to align model development with physiological insights and member impact.
- Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
- Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation).
- Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review.
Qualifications:
- Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
- 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems.
- Experience working with time series data (wearable, physiological, or high-frequency sensor data).
- Strong coding skills in Python with a track record of writing clean, production-quality code.
- Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch).
- Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP).
- Preferred: 2+ years experience applying advanced mathematical and statistical techniques.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: Belarus; Armenia; Croatia; Georgia; Kazakhstan; Moldova; Poland; Portugal; Serbia; Spain
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
We are seeking an experienced Product Designer to join and strengthen our team.
You will work closely with fellow Designers, a Design Technologist, Product Owner, Researcher, and the Development team. We believe that complex challenges can only be solved together. That’s why our culture encourages open discussion of problems and constructive debate over solutions. You will be surrounded by supportive colleagues ready to help and share their expertise.
Tasks:
Own the design and User Experience (UX) for one of the key product areas;
Design and improve user scenarios and features across multiple platforms (Web, iOS, Android);
Conduct Product Discovery: collaborate with the team to research user journeys, identify friction points, and formulate/validate hypotheses;
Build high-quality prototypes, paying attention to micro-interactions and transition animations;
Facilitate discussions with developers and stakeholders, finding the balance between ideal UX and technical constraints;
Ensure implementation quality (Design QA/Review) and guide solutions through to release;
Contribute to the Design System: ensure consistency and accelerate team velocity through high-quality components.
Requirements:
5+ years of experience in product design (a portfolio featuring launched case studies is required);
Advanced proficiency in Figma;
Proven experience in creating or scaling design systems;
Product Mindset: You make decisions based on data, research, and common sense, not personal preference. You understand how design impacts business metrics;
Understanding of accessibility principles and the ability to integrate them into the design process;
Strong communication skills with the ability to articulate and defend design decisions, as well as give and receive constructive feedback;
You can self-manage, prioritize your backlog, and drive processes without micromanagement;
Comfortable with shifting priorities based on business needs.
What we offer:
Remote work model;
Competitive remuneration;
Friendly, enjoyable and positive environment.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-LR1
Location: Singapore
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
The
Site Selection & Colocation Manager
is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements.
Your responsibilities will include:
Site Selection & Market Analysis
Lead the end-to-end site selection process for new data center facilities.
Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.
Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.
Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.
Technical & Environmental Due Diligence
Coordinate environmental, geotechnical, hydrological, and seismic assessments.
Assess infrastructure availability (power, water, fiber) and future scalability.
Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.
Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.
Colocation Strategy & Vendor Management
Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.
Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.
Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.
Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.
Cross-Functional Collaboration
Work with data center design and construction teams to validate site feasibility and development timelines.
Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.
Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.
Coordinate with public authorities, utilities, and permitting agencies as needed.
Risk Assessment & Compliance
Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.
Ensure compliance with local regulations, zoning laws, and corporate standards.
Maintain documentation for audits, reporting, and internal approvals.
We expect you to have:
Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.
5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.
Strong understanding of data center power, cooling, and network requirements.
Experience in evaluating colocation providers and negotiating leases/SLAs.
Analytical skills in market research, cost modeling, and risk assessment.
Ability to manage multiple simultaneous projects across regions.
Excellent communication, negotiation, and stakeholder management skills.
It will be
an added bonus
if you have:
Experience with hyper-scale or large-scale data center development.
Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.
Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.
Understanding of permitting processes and environmental regulations.
#LI-PD1
#LI-PD1
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: Shanghai, China
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title
League of Legends
to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the
League of Legends
experience.
We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints.
That's where you come in.
The Role
As a
Product Manager
focused on Meta Systems for VALORANT Mobile, you will help shape the out-of-match experience that supports players before, between, and after every tactical fight.
You will work on player-facing systems including, but not limited to, progression, social features, asset display, party-up experience, player identity, and other systems that deepen long-term engagement. Your goal is to ensure VALORANT Mobile does not only feel great in the round, but also gives players meaningful reasons to return, connect, express themselves, and grow over time.
This role requires strong player empathy, structured product thinking, and the ability to translate ambiguous player needs into clear product direction. You will partner closely with Quantum Studio, our co-development partner, as well as Riot VALORANT teams, designers, engineers, publishing stakeholders, and other Riot partners to define feature goals, review implementation quality, and continuously improve the player experience through data, research, and product intuition.
As a Rioter in China, you’ll join a team of culturally diverse professionals who share a passion for games and a commitment to putting players first. To support Riot’s collaborative culture in our China offices, we operate without traditional hierarchical titles. What matters here is ownership, autonomy, and impact, not what’s printed on your badge.
Responsibilities:
Drive the product direction and execution support for VALORANT Mobile meta systems, including progression, social, party-up, asset display, player identity, and other out-of-match player experiences.
Partner closely with Quantum Studio to define product goals, feature requirements, user flows, experience principles, and acceptance criteria for new and existing meta system features.
Review and refine Quantum Studio’s feature implementation throughout the development cycle, ensuring the final player experience is intuitive, polished, and aligned with VALORANT’s product quality bar.
Use player behavior data, research insights, competitive references, and product intuition to identify opportunities that improve engagement, retention, social connection, and long-term player motivation.
Collaborate with Riot VALORANT teams, publishing stakeholders, and other product owners to ensure meta system direction aligns with broader VALORANT product principles, version planning, live operations, and player needs.
Support the planning and prioritization of meta system improvements across patches, balancing player impact, development cost, business goals, and delivery timelines.
Act as the voice of VALORANT Mobile players in the meta system space, ensuring features serve both core tactical shooter players and broader mobile audiences.
Monitor post-launch feature performance and player feedback, then build actionable optimization plans with Quantum Studio and relevant Riot stakeholders for future iterations.
Contribute to cross-functional discussions on how meta systems connect with gameplay, monetization, content, social, and live service strategies.
Required Qualifications:
5+ years of experience in product management, game operations, system design, or live service games, preferably with experience in mobile games.
Experience owning or supporting player-facing systems such as progression, social, party, profile, collection, achievement, mission, onboarding, or other engagement-related systems.
Strong product judgment and player empathy, with the ability to identify player needs and translate them into clear product requirements and experience improvements.
Ability to work through moderately complex product problems, evaluate trade-offs, and propose practical solutions within defined constraints.
Strong data literacy, with experience using engagement, retention, funnel, social, or feature usage data to evaluate product performance and guide iteration.
Excellent cross-functional communication skills, with experience working closely with design, engineering, publishing, analytics, research, or external development partners.
Experience working in a co-development or distributed team environment, including aligning stakeholders across different teams, cultures, or regions.
Fluent in Mandarin and English.
Desired Qualifications:
Deep passion for competitive multiplayer games, tactical shooters, or mobile live service games.
Experience working on meta systems for a major live service title, especially systems related to progression, social connection, player identity, or long-term engagement.
Strong understanding of mobile player behavior and how meta systems support retention, session motivation, social play, and content discovery.
Familiarity with VALORANT, its player motivations, competitive ecosystem, cosmetics culture, and overall product identity.
Experience using player research, community feedback, and market references to shape product direction.
Experience working with co-development partners, external studios, or large-scale distributed development teams on feature delivery and quality review.
职位介绍
作为 VALORANT Mobile 团队负责 Meta Systems 的产品经理 ，你将参与塑造玩家在每一场战斗前、战斗间隙以及战斗结束后的整体游戏体验。
你将负责的玩家体验系统包括但不限于局内外成长、社交功能、资产展示、组队体验、玩家身份表达，以及其他能够提升长期参与度的局外系统。你的目标是确保 VALORANT Mobile 不只是在对局内有出色的战术竞技体验，也能在对局外持续给玩家提供回归、连接、表达自我与长期成长的理由。
这个职位需要你具备强烈的玩家同理心、结构化的产品思考能力，以及将模糊玩家需求转化为清晰产品方向的能力。你将与我们的联合研发伙伴 Quantum Studio，以及 Riot VALORANT 团队、设计、工程、发行团队和其他 Riot 内部伙伴密切合作，定义功能目标，审核落地质量，并通过数据、研究与产品判断持续优化玩家体验。
在 Riot 中国办公室，你将加入一支由不同文化背景的专业伙伴组成的团队。我们共同热爱游戏，也始终坚持以玩家为中心。为了支持 Riot 在中国办公室的协作文化，我们不强调传统层级头衔。真正重要的是你所承担的责任、展现的自主性，以及最终创造的影响力。
职责描述
推动 VALORANT Mobile Meta Systems 的产品方向与落地支持，包括局内外成长、社交、组队、资产展示、玩家身份表达，以及其他局外玩家体验系统。
与联合研发伙伴紧密合作，定义新功能与现有功能的产品目标、功能需求、用户流程、体验原则和验收标准。
在开发周期中持续审核并优化联合研发伙伴的功能实现，确保最终玩家体验直观、精致，并符合 VALORANT 的产品质量标准。
结合玩家行为数据、用户研究、竞品参考与产品判断，识别能够提升参与度、留存、社交连接和长期玩家动机的优化机会。
与 Riot VALORANT 团队、发行团队以及其他产品负责人合作，确保 Meta Systems 的方向与更广泛的 VALORANT 产品原则、版本规划、运营节奏和玩家需求保持一致。
支持不同版本中 Meta Systems 优化内容的规划和优先级排序，在玩家影响、研发成本、业务目标和交付时间之间做出合理取舍。
代表 VALORANT Mobile 玩家在 Meta Systems 领域提出清晰观点，确保相关功能既能服务核心战术射击玩家，也能兼顾更广泛的移动端玩家群体。
追踪功能上线后的表现与玩家反馈，并与联合研发伙伴和相关 Riot 团队一起制定可执行的后续优化计划。
基本要求
拥有 5 年以上产品管理、游戏运营、系统设计或长线运营游戏相关经验，有移动游戏经验者优先。
曾负责或参与过玩家体验系统，例如成长、社交、组队、个人资料、收藏、成就、任务、新手引导或其他与玩家参与度相关的系统。
具备良好的产品判断力和玩家同理心，能够识别玩家需求，并将其转化为清晰的产品需求和体验优化方案。
能够处理具有一定复杂度的产品问题，评估不同方案的取舍，并在明确约束下提出务实可行的解决方案。
具备良好的数据理解能力，能够使用参与度、留存、转化漏斗、社交行为或功能使用数据来评估产品表现并指导后续迭代。
具备优秀的跨职能沟通能力，能够与设计、工程、发行、数据分析、用户研究或外部研发伙伴高效协作。
有联合研发或分布式团队协作经验，能够推动不同团队、文化或地区的相关方达成共识。
中英文流利。
加分项
热爱竞技多人游戏、战术射击游戏或移动端长线运营游戏。
有大型长线运营游戏 Meta Systems 相关经验，尤其是成长、社交连接、玩家身份表达或长期参与度相关系统。
深入理解移动端玩家行为，以及 Meta Systems 如何支撑留存、开局动机、社交游玩和内容发现。
熟悉 VALORANT，包括其玩家动机、竞技生态、皮肤文化和整体产品气质。
有使用用户研究、社区反馈和市场参考来制定产品方向的经验。
有与联合研发伙伴、外部工作室或大型分布式研发团队合作推进功能交付和质量审核的经验。
Location: Pasig City, Philippines
Job Description:
Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions.
Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician.
Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems.
Key Responsibilities:
Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations
Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation.
Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team.
Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned.
Qualifications:
Requirement:
Licensed
Medical Physician
Experience in
Drug Safety
and
Pharmacovigilance (PV) Concepts, regulatory requirements, research principles,
and
safety data analysis.
1-3 years
of experience in
pharmaceutical regulations
and
R&D processes.
Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential.
Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications.
Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment.
Data entry experience desired.
Accountability for delivery of results.
Decision making and problem-solving skills.
Proactive approach/uses own initiative.
Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines
Ability to follow guidelines, working practices etc.
Experience of working with SOP/WI preferred
Location: Remote-Friendly, United States
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 Anthropic
Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible.
About the Role
We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery.
As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio.
This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally.
What You'll Do
Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions
Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction
Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports
Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems
Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements
Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities
Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards
Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments
Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline
Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines
Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%)
What We're Looking For
Required
10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design
Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities
Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams
Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies
Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments
Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio
Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability
Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment
Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information
Preferred
Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA)
Experience with prefabricated and modular construction strategies for data center applications
Familiarity with geotechnical risk assessment and foundation design for large industrial facilities
LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials
International project delivery experience (Europe, Asia-Pacific, or other regions)
Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks
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:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
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 a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.
Key Responsibilities
Develop and execute strategic recruiting plans to identify and source highly qualified candidates
Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates
Provide an exceptional candidate experience throughout the recruiting process
Minimum qualifications
Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations
Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools
Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches
Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it
Preferred qualifications
Experience recruiting at a high-growth technology, AI, or machine learning company
Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not
Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security
Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent
Comfort using LLMs to accelerate sourcing, research, and market mapping
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:
$240,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.
As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity.
You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.
This is a pipeline role feeding four areas.
Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
Data platform
Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.
Planning
Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.
Efficiency
Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.
Attribution and forecasting
Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.
Key responsibilities
Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.
Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment.
Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.
Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.
Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable.
Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company.
What you bring
A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor.
Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.
Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations
Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on.
Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction.
Preferred qualifications
Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here.
Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads.
Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements.
Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers.
Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level.
Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed.
Storage efficiency, retention, and lifecycle program experience at very large scale.
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: United States, Los Angeles, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Join the award-winning studio that created God of War
Sony Santa Monica Studio is looking for QA Sr Analysts to assist in the development testing of our internal projects on the PS5 platform.
The QA Sr Analyst is responsible for the execution of high-level/critical test coverage management in support of their assigned projects. The general purpose of this job is to provide a dedicated resource to provide testing expertise for their assigned area of focus and operating as the most experienced, cognitive focused and productive testers on the project. Attention to detail is a critical requirement of the role, as is a highly communicative, amicable, team focused and mature demeanor.
We value talent, self-motivation, and team spirit. In turn, we provide an environment with a large degree of freedom, autonomy and growth opportunities.
Responsibilities
Perform developer support tasks to assist with entry to mid-level development work for your assigned department or area
Perform preventive testing support on developer workflows, tools and testbeds to support embedded testing efforts
Perform high-level/critical scripted and exploratory test coverage using different testing techniques on assigned projects
Perform issue reporting, research, analysis, confirmation and support resolution on assigned projects
Perform specialized testing and support requests for your assigned area of focus and/or department
Maintain a strong knowledge of the project design and scheduling changes to support QA test effectiveness, focus and reporting
Assist in the management of project databases for assigned titles
Assist in the planning, tasking, and execution of all operational testing for assigned projects
Assist in the execution of project operational reporting and day to day communication
Assist in updating test plans and incorporate them into the software testing process
Assist in QA administrative and support requests
Assist in collaborating work across disciplines within the internal/external development team to help drive project to completion
Assist in diagnosing errors and breakdowns in development pipeline and perform technical support as needed
Actively develop and improve skill set and abilities by keeping aware of QA industry trends and techniques
Minimum Requirements
2+ years in Test or Analyst or equivalent position and successfully shipped at least 2 global, large-scale titles on current generation PlayStation platform(s)Experience with Maya software and toolsets
Excellent technical learning agility
Excellent understanding of SDLC
Excellent gameplay skills
Excellent critical analysis skills
Excellent communication, organizational, time management, and interpersonal skills
Experience with current generation PlayStation platforms and peripherals
Experience in quality assurance/control testing
Experience in foundation level testing techniques
Experience with JIRA database and add-on systems
Proficiency in test case design and traditional QA/QC methods
Passion for video games
Preferred Experience
BS Cognitive Science, Computer Science, Communications, BA in Project Management, Business Intelligence, or QA related field
Successful completion, certification and application of ISQTB® Foundation Level CTAL or equivalent
#LI-SMS
#LI-MC1
Avoid Recruitment Scams/Phishing Attempts:
Please be aware that any official outreach in response to your application will always be done from a
@sony.com email address
. Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying.
Anyone using an email that is not @sony.com is
not affiliated with us
and should be
reported
either
via the platform they are contacting you on
or
directly to your email service
as a phishing attempt/scam.
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$27.22
—
$40.87 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: London, United Kingdom
Workplace: hybrid
About us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
150
talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We are looking for a experienced
Enterprise Account Executive
who are excited to be part of the early sales team at a very fast-growing startup.
Importantly, we are not looking for Alpha, ‘gift of the gab’ type salespeople. Rather, we are excited to hire intelligent, thoughtful and reflective salespeople who build trust and meaningful connections with prospects.
The role could develop into a leadership position, managing a team of AEs, or stay as an individual contributor role – closing our largest deals.
What you'll be doing
Serve as a consultative trusted advisor with a focus on developing and closing new business opportunities with prospective Xelix customer.
Manage a portfolio of prospects at various stages of sales cycle with leads developed by the Xelix partner network.
Conduct assessments to understand prospects pain-points and develop roadmap and business cases for their finance transformation using Xelix solutions.
Manage and forecast sales activity and opportunities by flawlessly executing the Xelix sales process and playbook.
Attend in-person meetings on client site, as well as industry events, such as user groups, trade shows and conferences to build and manage relationships with prospective and existing customer base.
What you’ll bring
2+ years closing enterprise SaaS deals
Expertise using MEDDICC or similar sales methodologies
Experience managing long and complex sales cycles with multiple stakeholders.
Proven ability to self-source and generate pipeline
Consecutive years of quota attainment at a technology company
Experience selling into the CFO office
Big Plus Points
Specific knowledge of Accounts Payable space
Multi-lingual
Customer Segment Definitions
At Xelix, customer segments are defined by annual company revenue rather than employee count. As Xelix serves large organisations, these classifications differ from those commonly used in other businesses.
Mid-Market
– Organisations with annual revenue of
up to £1 billion
.
Small Enterprise
– Organisations with annual revenue between
£1 billion and £5 billion
.
Large Enterprise / Strategic
– Organisations with annual revenue of
£5 billion or more
. These accounts are typically complex, involving multiple stakeholders, longer sales cycles, and global or multi-entity operations.
What we offer in return
💰 Competitive base salary starting at £70k, with the potential to double your earnings through 100% OTE
🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
🏡 Hybrid working with three days a week from our dog-friendly Hoxton office and on-site gym
🏥 Comprehensive private medical & dental cover with Vitality
🍼 Enhanced parental leave pay
📚 Learning & development culture – £1,000 personal annual budget
🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
About us
Xelix blog
Xelix news
Xelix glassdoor
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
Introductory Call
– A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview
– A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation
– A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview
– An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Location: London, United Kingdom
Workplace: hybrid
About us
At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows.
Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
150
talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you.
About the role
We are looking for a experienced
Enterprise Strategic Account Executive
who are excited to be part of the early sales team at a very fast-growing startup.
Importantly, we are not looking for Alpha, ‘gift of the gab’ type salespeople. Rather, we are excited to hire intelligent, thoughtful and reflective salespeople who build trust and meaningful connections with prospects.
The role could develop into a leadership position, managing a team of AEs, or stay as an individual contributor role – closing our largest deals.
What you'll be doing
Serve as a consultative trusted advisor with a focus on developing and closing new business opportunities with prospective Xelix customer.
Manage a portfolio of prospects at various stages of sales cycle with leads developed by the Xelix partner network.
Conduct assessments to understand prospects pain-points and develop roadmap and business cases for their finance transformation using Xelix solutions.
Manage and forecast sales activity and opportunities by flawlessly executing the Xelix sales process and playbook.
Attend in-person meetings on client site, as well as industry events, such as user groups, trade shows and conferences to build and manage relationships with prospective and existing customer base.
What you’ll bring
3+ years closing enterprise SaaS deals
Expertise using MEDDICC or similar sales methodologies
Experience managing long and complex sales cycles with multiple stakeholders.
Proven ability to self-source and generate pipeline
Consecutive years of quota attainment at a technology company
Experience selling into the CFO office
Big Plus Points
Specific knowledge of Accounts Payable space
Multi-lingual
Customer Segment Definitions
At Xelix, customer segments are defined by annual company revenue rather than employee count. As Xelix serves large organisations, these classifications differ from those commonly used in other businesses.
Mid-Market
– Organisations with annual revenue of
up to £1 billion
.
Small Enterprise
– Organisations with annual revenue between
£1 billion and £5 billion
.
Large Enterprise / Strategic
– Organisations with annual revenue of
£5 billion or more
. These accounts are typically complex, involving multiple stakeholders, longer sales cycles, and global or multi-entity operations.
What we offer in return
💰 Competitive base salary starting at £75k, with the potential to double your earnings through 100% OTE
🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days
🏡 Hybrid working with three days a week from our dog-friendly Hoxton office and on-site gym
🏥 Comprehensive private medical & dental cover with Vitality
🍼 Enhanced parental leave pay
📚 Learning & development culture – £1,000 personal annual budget
🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals
🎯 Lots of team socials & activities
☀️ Annual team retreat
Want to learn more?
About us
Xelix blog
Xelix news
Xelix glassdoor
We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
Interview Process
While the exact process may vary slightly depending on the role, our typical interview stages are:
Introductory Call
– A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
Hiring Manager Interview
– A 30–45 minute Teams meeting to explore your experience and fit for the team.
Technical Task or Presentation
– A role-relevant exercise to demonstrate your skills and approach.
Final On-site Interview
– An in-person meeting with our senior leadership team and co-founders at our office.
We strive to make the process clear, efficient, and respectful of your time.
We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
Location: Redwood City, CA, United States, San Francisco, CA, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHAT YOU'LL DO
The Solutions Architect is part of the Customer Success organization and the Box Consulting team, and works across Box and with customers to define and build out complex solutions. The Solutions Architect is a high impact, high visibility role, responsible for ensuring customer satisfaction while promoting Box technical and platform solutions.You will play a critical role in building and sustaining customer and partner relationships while driving the adoption of the Box product and platform. The Solutions Architect also works closely with sales and field teams to maximize opportunities by understanding customer needs, envisioning a future state, and helping customers get there.
On any day, you could be advising an enterprise on how to design an application for a custom document vault or helping a customer migrate millions of files into Box. The next, you may be advising another on how to best integrate Box into their custom CRM. There is never a lack of technical challenges.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You are a technologist at heart. You appreciate how technology can be applied to solve complex problems. Being a trusted advisor and a change agent is energizing. You get excited about collaborating with diverse teams to drive successful outcomes. You are intellectually curious and a passionate learner who loves sharing knowledge with others. You are adept at architecting and designing technical solutions with the right mix of Box configurations/APIs, other SaaS technologies, integration technologies, and partner tools to balance configuration and customization. You feel confident presenting detailed technical information to executives and positioning ideas to all levels including line of business managers, 'C' level executives, Developers, and IT Architects. You have an understanding of REST APIs and JSON. You have the ability to distill complex technical solutions and industry solutions into their digestible parts.
With your technical and functional expertise, you are able to facilitate conversations with prospective and existing customers that ultimately lead to the design of solution architectures and strategy. You can handle in-depth technical questions during meetings and sales calls as they relate to implementing Box solutions. You develop project scope documentation, statements of work, technical specifications, and business requirements related to customer engagements.
At the end of the day, you are seen as the trusted advisor with customers and they know your goals align to their business cases and strategy. Ultimately, you own the development and delivery of differentiated custom solutions.
Here's the fine print:
Required Skills:
5+ years of development, consulting, or professional services experience
You love working in a dynamic environment where ambiguity is common...and can effectively speak to both technical and non-technical parties
Expertise in architecture / system design for cloud solutions (i.e. APIs, DevOps, Infrastructure, middleware, scale limits, rate limits, etc.)
Experience working with one or more of the following: Python, Typescript, Node.js (MEAN stack), Java, .NET , Visualforce.
Establish technical delivery expertise based on market trends, research and customer requirements. This role will be the primary leader for pre-sales scoping and delivering repeatable technical solutions.
Develop and deliver repeatable solutions that can be used as an industry playbook to drive repeated success & best practices
Collaborate closely with key stakeholders across Sales and Customer Success to effectively execute on successful GTM strategy
Accurately forecast capacity and deliver upon revenue targets
Team with Solutions Consultants to support bookings target attainment
A drivers license may be required if you are asked to visit clients onsite
Preferred Skills:
Expertise in Enterprise Content Management systems and cloud migrations
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
#LI-HYBRID
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
San Francisco Pay Range
$142,000
—
$206,500 USD
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$142,000
—
$206,500 USD
Location: Milan
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Key requirements:
Graduate degree: University Degree in IT, Engineering
2 or more professional experience in Alarm Systems, video surveillance, and security.
An excellent working knowledge of Analogue and IP CCTV and Access Control Systems
Experience in installing/designing video surveillance systems, fire alarms, or other security systems
Experience in public speaking (as an advantage)
Strong communication skills
Flexible in terms of business trips, trade shows, and more
Has an outgoing personality and can work independently
Responsibilities:
Conduct technical seminars, exhibitions, presentations, and webinars on the product (for customers and company employees)
Introduce product roadmaps and new features for Ajax Systems distributors, as well as installers
Teach technical staff at Ajax Systems distributors and dealers to increase their knowledge of products and technology
Promote and introduce product solutions according to customer thesis, technical consultation, and support of key clients
Market research and сomparative characteristics of products of the competitors
Develop long-term relationships with key partners of the company
Test product features write technical documentation for new products or solutions, and collaborate with the rest of the team
Analyze customer needs in collaboration with the sales department
We offer:
Full-time employment contract
Competitive wages - rate and transparent motivation system
A product that sells itself
Business trips
Payment for courses and conferences, we contribute to our staff
A strong, well-coordinated team of professionals
We are working to ensure that people's lives are calm and the world safe.
Let's become a part of the team that creates a smart and useful global product.
Please, send your CV in English language.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ABOUT THE ROLE
Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability.
KEY RESPONSIBILITIES
- Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance.
- Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation.
- Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks.
- Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products.
- Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences.
ABOUT YOU
- 3+ years of experience developing machine learning models to solve business problems.
- Strong understanding of supervised ML algorithms, tuning, and performance evaluation.
- Experience with a range of feature engineering techniques (e.g. target encoding).
- Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation.
- Experience in writing clean, production-grade Python code for both model training and inference.
- Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity.
NICE TO HAVE
- Experience with advanced data transformation techniques (e.g., lambda functions).
- Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications.
- Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance.
- Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS).
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Serbia; Georgia; Armenia
Location:
Serbia, Georgia, Armenia (Remote)
Type:
Internship (Full-time preferred)
Time zone:
CET or within ±3 hours
Duration:
6 months (with potential for a long-term role)
Compensation
: Unpaid
About Transparent Hiring
Transparent Hiring is an international relocation and recruitment agency helping IT professionals from around the world build careers in Germany and relocate there with confidence.
We’ve been growing steadily for over five years, combining the flexibility of a startup with the reliability of an experienced international team.
Internship Overview
We are looking for a
Relocation Assistant Intern
, located in either:
Serbia
,
Georgia
or
Armenia
, to support our relocation department. While our recruiters find the jobs, our relocation team ensures that the transition to Germany is seamless. You will assist specialists and their families in navigating the "bureaucratic bridge" between their home country and their new life in Germany.
No prior relocation experience is required, you will receive onboarding and training on German immigration laws and procedures.
What You’ll Learn & Work On
Visa Application Support:
Assist in preparing document sets for national visas (D), such as the EU Blue Card, Opportunity Card, and Family Reunion Visa.
Document Verification:
Review and verify clients’ documents (diplomas, job contracts, marriage certificates) to ensure they meet requirements set by German embassies and consulates.
Appointment Management:
Coordinate and book appointments at German Diplomatic Missions around the world and German immigration offices.
Communication:
Draft clear, professional instructions for clients and write professional emails to German authorities.
Research:
Track updates in German immigration laws and specific local requirements in different German cities.
Please read the requirements carefully before applying. Applications that do not meet the requirements will not be considered.
What We’re Looking For
Fluency in English (C1) and Russian language
Excellent written and verbal communication skills
Strong attention to detail and solid research habits
Comfortable working with Gmail, Google Docs, and CRM systems
Eagerness to learn new tools and processes
Would Be a Plus
Any exposure to visa/relocation support
Experience with outreach/messages, scheduling, or structured admin work
What We Offer
Full training and mentorship — no relocation background required
Clear tasks, templates, and feedback to help you grow fast
Flexible working hours and a 100% remote setup
Supportive, friendly, international team environment
Direct collaboration with company founders and senior relocation specialists
Evaluation after the internship for a potential transition into a long-term role
How to Apply
Send us your CV and a short note explaining:
why you’re interested in this internship
which relocation skills you’d like to develop
If you’re proactive, organized, and motivated to help others build international careers — we’d love to hear from you.
Location: ES - Barcelona, Spain
Scopely is looking for an experienced
Creative Lead
to join the Stumble Guys team at Flamed, Scopely’s in-house creative agency, in Barcelona on a hybrid basis.
At Scopely, we care deeply about what we do and want to inspire play, every day. We are a global team developing, publishing and innovating in the games industry, connecting millions of people around the world.
We are Flamed, the in-house creative agency, an international multidisciplinary team. We produce thousands of creatives each year to support the global marketing needs of all Scopely games.
What you will do
Stumble Guys brings millions of players together for chaotic multiplayer races, absurd obstacles and hilarious fails. Our creative work should capture that same energy and humour.
We are looking for a creative leader with proven experience in mobile user acquisition and organic social content, strong creative judgment and a clear understanding of Gen Alpha’s gaming culture, creators, humor and content habits.
Reporting to the Senior Creative Director, you will develop creative concepts for UA, organic and reengagement, informed by performance insights, marketing strategy and relevant trends. You will partner closely with UA, Marketing and production leads to bring those ideas to life, tailoring the storytelling, formats and language to each audience and channel.
Lead research, benchmarking and brainstorms to develop creative concepts for UA, organic and reengagement, informed by marketing objectives, performance insights, audience motivations and relevant trends.
Partner with Marketing, Project Managers and Producers on creative roadmaps, aligning with game updates, events and collaborations, and agreeing realistic priorities, scope and timelines.
Develop creative testing roadmaps with UA partners, defining hypotheses, prioritising new concepts and iterations, and identifying the questions each test should answer.
Develop and present clear pitches and decks, scripts and storyboards, explaining the creative rationale and adapting storytelling, hooks and visual direction to each audience and channel.
Create clear, actionable production briefs and handovers in close partnership with the Arts and Animation team, our production powerhouse, communicating the concept, creative intent, audience and channel requirements. Provide creative input and clarification when consulted during production.
Work with UA, Marketing and Creative Intelligence partners to interpret asset performance, share actionable learnings and improve future concepts and tests.
Partner with Social and Community teams to develop recurring organic formats and content ideas informed by audience behaviour, community feedback and platform trends.
Use AI throughout your workflow to support research, work organisation, performance analysis and roadmap planning, continually identifying practical ways to improve speed and effectiveness.
What we are looking for
A strong background in advertising, creative strategy or creative direction, with demonstrated experience leading creative work for mobile products.
Proven experience developing creative for
both performance marketing / user acquisition and organic social content
, with a clear understanding of their different objectives and measures of success.
Strong understanding of Gen Alpha’s gaming and entertainment culture, including creators, humour, storytelling and platform conventions, with concrete examples of how this informs your creative decisions.
Strong organisation and prioritisation skills, with experience partnering on creative and testing roadmaps and aligning work with marketing calendars and production plans.
Strong concept development and storytelling skills, with an eye for hooks, pacing, visual clarity and the details that make short-form content effective.
Confidence working with UA KPIs and creative dashboards, translating performance data into hypotheses and actionable creative decisions.
Experience collaborating with multidisciplinary teams and external partners through clear briefs, effective handovers and constructive creative input.
Practical understanding of video, gameplay capture, animation and design workflows, sufficient to assess feasibility, brief specialists and collaborate effectively with production partners.
An AI-first approach to work, with demonstrated experience integrating AI tools into everyday workflows, including organisation, research, analysis and planning, and sound judgment when assessing their outputs.
Excellent communication and presentation skills in English, with the ability to explain your thinking, align stakeholders and drive decisions.
Bonus Point:
Experience in mobile gaming or entertainment.
Experience creating campaigns or ongoing content for Gen Alpha or other young audiences.
Experience collaborating with creators or developing content inspired by creator formats.
Please include a portfolio, reel or case studies showing both UA and organic social work. Alongside the final assets, explain your contribution, the strategy behind the work, and the results or learnings that informed your next decisions.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
United States
ОфисseniorBoston, MA
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УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
San Francisco, CA | New York City, NY | Seattle, WA
seniorUnited States, Los Angeles, CA
ГибридLondon, United Kingdom
ГибридLondon, United Kingdom
Redwood City, CA, United States, San Francisco, CA, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance
УдалённоMilan
ОфисLondon
УдалённоСтажёрПротиворечивые условия: Relocation Assistant Intern (m/f/d) | Serbia, Georgia, Armenia | Remote; Time zone:; Transparent Hiring is an international relocation and recruitment agency helping IT professionals from around the world build careers in Germany and relocate there with confidence; Relocation Assistant Intern; , to support our relocation department; While our recruiters find the jobs, our relocation team ensures that the transition to Germany is seamless; No prior relocation experience is required, you will receive onboarding and training on German immigration laws and procedures; Any exposure to visa/relocation support; Full training and mentorship — no relocation background required; Direct collaboration with company founders and senior relocation specialists; which relocation skills you’d like to develop
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