Задачи:
— Конфигурировать и разворачивать инфраструктурные компоненты
— Адаптировать/разрабатывать с нуля автоматизированные пайплайны под актуальные бизнес-задачи (AutoML, LLM, computer vision и пр)
— Создавать и поддерживать пользовательские инструменты для работы в едином ML-контуре применения и обучения
— Масштабировать разрабатываемые системы и инструменты для управления жизненным циклом моделей машинного обучения
Требования:
— Опыт DevOps от 3х лет (Docker, Helm, Jenkins/GitLab CI, Python)
— Опыт ML/MLOps от 1 года (Airflow, JupyterHub, MLflow, Seldon, CUDA)
— Опыт администрирования Kubernetes от 2х лет
— Опыт работы с Hadoop, Spark, Kafka, ELK
Условия:
— Работа в аккредитованной IT компании, имеющей собственные продукты
— Формат работы: удаленный по РФ
— Предоставляем расширенный ДМС (со стоматологией)
— Выдаем необходимую для работы технику (ноутбук)
— Возможность воспользоваться реферальной программой: “Приведи товарища”
— Участие в Бонусной программе
— Помогаем в ипотеке и других пособиях
— Предоставляем возможность построить карьеру в рамках ведущих компаний России
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Dhahran, Saudi Arabia
Eram Talent is seeking a talented UI/UX Designer to join our team. As a UI/UX Designer, you will be responsible for creating intuitive and visually appealing user interfaces and experiences for our clients' websites and applications. You will collaborate closely with our development team and clients to understand user needs and translate them into effective design solutions.
Eram Talent is a leading talent acquisition company that provides exceptional recruitment solutions to clients across various industries. Join our team and contribute to our mission of connecting top professionals with great companies.
Responsibilities:
A solid understanding of the user-centered design process and related methodologies. Ability to design highly usable interfaces for multiple devices and channels - internet, intranet, mobile devices, tablets and touch screens etc. Ability to produce high-quality creative designs to tight deadlines.
Requirements
a) Bachelor's Degree in Graphic Design, Computer Science, Human Computer Interaction, Digital Art, Management Information Technology (MIS) or an equivalent major.
b)
Minimum 3 years’ experience as a UI/UX Designer.
c) Previous experience in user experience and creative design for web applications, portals and mobile applications.
d) A solid understanding of the user-centered design process and related methodologies. Ability to design highly usable interfaces for multiple devices and channels - internet, intranet, mobile devices, tablets and touch screens etc. Ability to produce high-quality creative designs to tight deadlines.
d) Proficient with design tools (such as Figma, Sketch, Adobe XD, Illustrator, Photoshop).
Location: Montreal
Workplace: onsite
ABOUT YOU
We are looking for a Technical Lead who is strategic, hands-on, and deeply committed to engineering excellence to join our engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead technical initiatives, shape architectural decisions, and mentor engineers while building scalable systems that power products used by game developers worldwide.
Strong leadership and technical expertise in backend engineering are essential, along with extensive experience in Go, distributed systems, and production-grade infrastructure. The ability to balance technical vision with business priorities—driving modernization efforts while maintaining delivery momentum—will be key to your success in this role.
If you're passionate about building high-performing engineering teams and love creating robust, scalable solutions that empower the gaming industry, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
RESPONSIBILITIES
Initiate and lead discussions
on technical solutions and architecture.
Influence technical decision-making
and set standards for sound engineering practices.
Lead refactoring and modernization efforts
while maintaining delivery timelines.
Identify and prioritize technical debt
to ensure long-term codebase health.
Collaborate with product and engineering leads
to balance business goals with technical integrity.
Build and deliver end-to-end software solutions
in a fast-paced environment.
Take ownership of production issues
and define efficient triage and resolution processes.
Implement robust test coverage
and uphold strong code review standards.
Enhance developer experience
by improving tools, processes, and workflows.
Act as a
hands-on technical leader
who guides, mentors, and inspires the engineering team.
REQUIREMENTS
8+ years
of experience in software development.
2+ years
of experience working with
Go
.
2+ years
of experience as a
Technical Lead
.
Strong experience with
PostgreSQL
and/or
MySQL
.
Proficiency with
Git
,
Docker
,
Kubernetes
, and
Helm
.
Experience with messaging systems (
RabbitMQ
and/or
Kafka
).
Basic understanding of frontend frameworks (
React
and/or
Next.js
).
Basic knowledge of
cloud computing
(
Google Cloud Platform
preferred).
NICE TO HAVE
Experience building
scalable, secure Login-as-a-Service platforms
.
Deep understanding of
OAuth2
,
OIDC
,
SAML
,
JWT
, and
session/token management
.
Strong knowledge of
social login
,
SSO
, and
federated identity
.
Experience designing
multi-tenant identity systems
with isolation and configurability.
Experience delivering
developer-friendly APIs, SDKs, and integration documentation
.
Excellent English communication skills
- both technical and non-technical.
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Technical Lead, we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Platform Org’s mission is to help builders build. Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.
The platform team is comprised of three key areas:
Enterprise fabric
– where we are building multi-cloud integrations at extreme scale across our entire stack to meet businesses wherever they are and in the most demanding of requirements.
Frontier capabilities
– where we are building developer experiences and features that enable users to get the most out of the model and build at the very frontier of intelligence.
Agentic platform
– where we are inventing the next generation of agentic infrastructure for production-grade use and building new products to enable businesses to solve problems with agents.
Responsibilities:
Customer Understanding & Advocacy
Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points
Run regular feedback sessions and technical reviews with key enterprise customers
Build strong relationships with enterprise development teams to understand their workflows and challenges
Transform customer insights into actionable product requirements and priorities
Product Strategy & Vision
Define and execute the enterprise API strategy, balancing security requirements with developer experience
Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities
Identify and prioritize key enterprise integration patterns that drive organizational value
Enterprise API Development
Partner with engineering to build enterprise-grade API features, security controls, and deployment tools
Design and implement enterprise integration frameworks and SDKs for common enterprise systems
Drive development of industry-specific API features and compliance capabilities
Cross-functional Leadership
Partner with sales and customer success to understand enterprise requirements and support technical evaluations
Work closely with security and compliance teams to meet enterprise standards
Collaborate with platform teams on API architecture and scalability
Engage with marketing to develop enterprise API positioning and technical materials
Minimum Qualifications
You may be a good fit if you:
Have built or shipped products
with
a hyperscaler as a partner — you know how to align goals and deliver impact across that boundary.
Have owned a revenue number, a margin target, or a channel P&L — not just a product roadmap.
Operate with high autonomy in ambiguous, fast-moving environments.
Are an excellent written communicator and able to drive clarity out of complexity.
Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organization.
Preferred Qualifications
Strong candidates may also have:
Have 10+ years of experience in high-scale, high-reliability developer-facing software.
Have 5+ years of product management experience.
Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.
Direct experience as a PM at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
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:
$305,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sao Paulo, Brazil
Workplace: remote
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Workable technical problem-solving skills
Ability to diagnose issues using data dumps, technical logs, etc., and articulate useful information for solving these issues
Ability to describe issues concisely based on client feedback
Experience in customer service
Team player able to pass issues onto appropriate parties, or escalate when necessary
Passion for new technology, tools, methods, paradigms, especially as it relates to games and payments
Good communication skills. Ability to explain solutions eloquently and provide references to appropriate documentation
Command of online productivity tools (Confluence, JIRA, Basecamp, Slack, Google Translate, etc.) and ability to learn new tools as necessary
Qualifications & Skills:
Bachelor’s Degree
2+ years of experience
Experience within the video game industry
Ability to problem solve
Prior integration experience
Clear written and verbal communication skills
Strong customer service/interpersonal skills
General Integration knowledge
Must be able to immediately handle a significant workload and effectively prioritize projects with high degree of autonomy
Effective time management skills and excellent attention to detail
Proven track record of successfully managing multiple priorities including effectively prioritizing a significant workload
Need to understand specific client needs and problem solve appropriately
Nice to Have:
Multilingual proficiency
Experience with web or game programming (Unreal, Unity), or higher education in computer science
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Junior/Integration Manager, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Working with vulnerable populations
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Madrid, Spain; Munich, Germany; Prague, Czech Republic; Warsaw, Poland
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We just unveiled JetBrains Central, a platform for agent-driven software development that connects tools, agents, and infrastructure. It enables automated AI workflows to run, be monitored, and be managed across teams – with clear visibility into results, costs, and performance.
JetBrains Central provides three core capabilities:
Governance and control:
Policy enforcement, identity and access management, observability, auditability, and cost attribution for agent-driven work. Some of these functionalities are already available via the
JetBrains Central Console
.
Agent execution infrastructure:
Cloud agent runtimes and computation provisioning that allow agents to run reliably across development environments.
Agent optimization and context:
Shared semantic context across repositories and projects, enabling agents to access relevant knowledge, and task routing to the most appropriate models or tools.
Inside the Professional Services department, we are building a team of Forward Deployed Engineers to help our customers adopt AI-native development with JetBrains Central and enable JetBrains consulting partners to transform their customers’ AI-native software development lifecycle.
About the role
As a Principal Forward Deployed Engineer, you will work directly with early adopter customers to deploy JetBrains Central platform into complex enterprise environments and help them move from experimental AI usage to governed, scalable AI-native development.
You will act as a trusted advisor to customer engineering teams and consulting partners, while also mentoring other Forward Deployed Engineers and helping with complex deployments. In this role, you will help establish best practices for enterprise AI adoption and influence how organizations implement AI-driven software development.
This role is often a strong fit for engineers who have previously served as Principal or Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects and who enjoy working directly with customers while staying deeply involved with complex technical systems.
This role combines consulting, architecture, and hands-on engineering. Your work in the field will directly influence how our platform evolves and how enterprises adopt AI-driven development.
You will work directly with the world’s most innovative companies — our client base includes 420 of the Fortune 500 — ensuring they maximize the value of their JetBrains investments.
What you’ll do
Deploy JetBrains Central platform into enterprise development environments, CI/CD systems, and internal developer platforms.
Help organizations transition from ad-hoc AI experimentation to governed AI-native development workflows.
Implement enterprise AI governance, including security policies, access management, and data privacy controls.
Enable observability for AI-driven development to help organizations understand their AI usage and its impact on productivity, as well as their code-generation patterns.
Design sustainable AI adoption strategies, including usage controls and cost visibility across multiple model providers.
Integrate our cloud-based agent execution layer, allowing AI agents to run securely and at scale.
Collaborate closely with JetBrains product teams to shape the platform based on real-world deployments and customer feedback.
Create delivery frameworks and train JetBrains partners to deliver the desired scope of service.
Mentor and support other Forward Deployed Engineers, sharing architectural expertise and helping to scale the team’s deployment practices.
You will thrive in this role if you are
A consultant at heart who can communicate effectively with both engineers and technical leadership.
Able to see the whole picture of the software development lifecycle across developer tools, infrastructure, APIs, and cloud systems.
Experienced at integrating complex software systems into enterprise environments.
Curious about the future of AI agents and AI-native software development.
Comfortable working with early adopters and overcoming ambiguous technical challenges.
Motivated to mentor other engineers and contribute to building a new technical discipline.
What you will bring
Experience in software-related projects, ideally in a customer-facing or consulting environment.
Familiarity with Java or Python.
Experience building or integrating developer platforms, infrastructure systems, or software solutions.
Familiarity with modern development workflows (CI/CD, developer environments, internal developer platforms, etc.).
Experience working directly with customers or technical stakeholders.
Strong problem-solving skills and the ability to operate in fast-evolving technical environments.
Ability and desire to travel to meet customers.
These would be a plus, but are not blockers
Experience with industry-specific solutions (fintech, telco, retail, etc.)
Experience with AI/LLM platforms, agent frameworks, or AI-assisted development tools.
Experience in solutions engineering, consulting, or forward-deployed engineering roles.
Familiarity with the JetBrains ecosystem or developer productivity tooling.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Remote US
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location:
San Jose, CA (1 day in office) or Remote US
Annual salary:
$125,000 - $175,000 USD
(Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location)
Type:
Full Time
Reports to:
Director of Product Design
The Role
We are looking for a talented and motivated Senior Product Designer to own the design and user experience (UX) of Playground. This role will be critical in creating an engaging, family-friendly interface that enhances how users interact with Playground. You will collaborate closely with our product and engineering teams to design and iterate on experiences that support our mission to connect families through fun and physical activity. Using first principles thinking, you’ll be tirelessly seeking opportunities to improve the first-time user experience, the core browsing experience, and other features intended to engage and retain users.
Key Responsibilities
Lead the design process for the OS, focusing on user needs, usability, and delightful interactions for both kids and adults.
Design and prototype the UI/UX for our custom Android-based operating system, including navigation, settings, and play modes.
Design user-friendly web-based features that allow users to manage their Playground account off-device
Work closely with product leaders, engineers, and marketers to understand requirements, align on objectives, and deliver innovative design solutions.
Create wireframes, prototypes, and high-fidelity designs for new features. Collaborate with engineering to refine designs based on feedback and testing.
Work to build more consistent practice around team-wide customer empathy by participating in and leading research and testing
Conduct user research and usability testing to validate design decisions, identify pain points, and iterate on solutions.
Help build and maintain a consistent design language and design system for both the OS and web platforms.
Conduct regular audits and usability testing to ensure the design system meets user needs and maintains a high level of quality.
Advocate for the value and importance of a design system to stakeholders across the company.
Qualifications
Bachelor’s or Master’s degree in Design, Human-Computer Interaction, or a related field.
8+ years of experience in product design, UI/UX design, or a similar role.
Experience with software development and the processes and practices associated with it.
Strong portfolio demonstrating experience in interaction design, visual design, and user experience, with a focus on consumer-facing digital products.
An eye for high-quality, well-crafted visual and interaction design.
Proficiency with design and prototyping tools such as Figma, Sketch or similar.
Strong leadership and communication skills, with the ability to articulate design decisions and advocate for user-centered design.
Ability to balance multiple projects and priorities in a fast-paced, dynamic environment.
A knack for figuring out ambiguous problems and shaping them into clear goals.
Passion for creating engaging experiences for families, children, and friends.
Nice To Have
Experience designing operating systems, or 10-foot UI experiences.
Experience conducting user research and usability testing.
Familiarity with designing for entertainment experiences with a library of content that is curated and editorialized.
Knowledge of design systems and creating reusable design components.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Sydney
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU'LL BRING
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten.
THE ROLE
Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.
Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
We don’t have a rigid set of skills, but here’s some of what we’re looking for:
- A deep understanding of modern ML techniques and tools for training transformers
- Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar
- A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism
- The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library
- The ability to perform roofline analysis on a transformer training setup
- A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute
- Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask
- Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect
- Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols
- A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: New York City, NY | Seattle, WA; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization.
We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both:
Growth generalist:
a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis.
Personalization:
building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences.
We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.
Responsibilities
Across both focus areas, you will:
Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
Define systems of metrics and guardrails that tie short-term wins to long-term value
Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support
In the Growth generalist focus, you will also:
Size opportunities and make the case for what Growth should work on next
Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations
Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)
In the Personalization focus, you will also:
Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers
Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical
You may be a good fit if you have
7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems
Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available
Experience analyzing growth funnels: acquisition, activation, retention and monetization
Proficiency with Python and SQL
Clear written communication, and a track record of recommendations that changed priorities or what a team built
A bias for action and comfort in ambiguous, fast-moving environments
An interest in Anthropic's mission of building safe and beneficial AI
For the Growth generalist focus, we're also looking for:
Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
For the Personalization focus, we're also looking for:
Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization)
Strong candidates may also have
Experience defining activation metrics and lifecycle measurement for a product-led business
Experience with experimentation platforms and meta-analysis across experiment portfolios
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience using LLMs or coding agents in your own analytical workflow
Experience with marketing mix modeling, geo experiments or synthetic controls
Experience running contextual bandits, uplift models or similar decision systems in production
Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Role
We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
What You’ll Do
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.
Qualifications
Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Limassol; Athens; Greece; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
We are looking for a passionate and self-motivated professional to join our Customer Experience Team.
The main responsibilities of the position include:
Deal with clients’ inquiries via live chat, email and telephone
Perform personal clientele analysis and take actions as required
Handle client inquiries appropriately and ensure that high level service is provided
Promote available products and services to clients
Develop and maintain excellent relationships with prospective and existing clients
Cooperate effectively with other departments as required
Contribute to team effort by achieving targeted results
Main requirements:
Degree in a business-related field
Client handling experience in the financial services sector is a definite plus
Fluent Polish speaker with excellent oral and written skills in English
Ability to multitask and maintain a high-level of organization
Outstanding communication and interpersonal skills
Excellent computer literacy
Valid work permit required
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You:
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Speak Your Strength – Language Proficiency Check
Show Your Skills – Live Technical Session
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
ГибридLimassol; Athens; Greece; Fully Remote - in other eligible locations
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.
RESPONSIBILITIES:
- Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations.
- Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency.
- Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions.
- Contribute to the team’s codebase with high-quality, testable, and well-documented code.
- Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems.
- Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.
- Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence.
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience.
- 2+ years of experience in backend software development with a strong foundation in computer science principles
- Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar).
- Experience building and maintaining APIs, integrations, and distributed systems.
- Comfortable working with relational databases, data modeling, and query optimization.
- Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems.
- Excellent communication skills and ability to work cross-functionally with technical and non-technical teams
- Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment
- A growth mindset and eagerness to learn from feedback and new challenges.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
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.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
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 $125,000 - $175,000. 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.
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