Location: Germany
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Spain
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across e
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Israel
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.
Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.
ABOUT THE ROLE
As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.
We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.
You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.
ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.
WHAT YOU'LL DO
- Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
- Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
- Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
- Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
- Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows
ABOUT YOU
- 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
- Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
- Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
- Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
- Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
- Solid experience with concurrent Python: threading, multiprocessing, and async patterns
- Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities
Bonus points for:
- Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Familiarity with the JVM ecosystem
- Experience deploying AI/ML models in production, including inference APIs and vector databases
- Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— Проектирование AI- и классических решений: разработка агентов, tools, skills, subagents, SDK к OpenCode;
— Применение нейросетей для оптимизации собственной работы (генерация спецификаций, промпт-инжиниринг, прототипирование диаграмм PlantUML, написание MCP, агентов, скилов);
— Ведение технической документации в рамках концепции Doc-as-code;
— Согласование технических решений и плотная коммуникация с командами разработки и сопровождения.
Требования:
— Общий опыт работы в аналитике от 3 лет;
— Подтвержденный опыт работы в проектах по разработке и внедрению AI-фич и AI-агентов (включая агентов в формате .md);
— Понимание принципов работы LLM и современных агентных архитектур (ReAct, LangChain, AutoGen и др.);
— Понимание NLP, архитектуры RAG (retrieval-augmented generation) и уверенные навыки prompt engineering;
— Практический опыт работы с harness-агентами;
— Уверенное владение технологическим стеком: REST API, WebSocket, OpenAPI/AsyncAPI, брокеры сообщений (Kafka), реляционные БД (PostgreSQL);
— Опыт работы с инструментами моделирования и документации;
— Развитые софт-скиллы: инициативность, коммуникабельность, умение аргументированно доносить точку зрения, нетоксичность.
Условия:
— Работа в финтех-проекте компании Bellintegrator;
— Платформа автоматизации жизненного цикла инвестиционных сделок для юридических лиц;
— Удаленная работа с таймзоной Мск ±2 часа;
— Полная занятость с оформлением по ТК РФ;
— Вилка зарплаты 220 000 – 250 000 руб. на руки, определяется по грейду.
Важное требование к резюме:
— Резюме должно содержать детально подтвержденный опыт;
— По каждому проекту необходимо четко описать: описание проекта, роль, конкретные задачи и зону ответственности, используемые технологии и инструменты.
Location: United Kingdom, London
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.
Department overview:
At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The
CLV team
focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value.
As a
Data Scientist
, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value.
This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making.
What you’ll be doing:
Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value.
Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact.
Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement.
Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs.
Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights.
Clearly communicate findings and recommendations to both technical and non-technical audiences.
Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems.
What we are looking for:
You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems.
Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
Experience working with large datasets to generate actionable insights.
A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).
Nice to Have:
Familiarity with production environments, MLOps, or data pipelines.
Experience working with large-scale data using PySpark or equivalent distributed data processing tools.
Experience in gaming, e-commerce, or subscription-based products.
Benefits:
Discretionary bonus opportunity
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please refer to our
Candidate Privacy Notice
for more information about how we process your personal information, and your data protection rights.
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
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: Sao Paulo, Brazil; Serbia; Almaty; Armenia; Baku; Barcelona; Berlin, Germany; California; Canada; Cyprus; Dubai, United Arab Emirates; Georgia; Istanbul; Montenegro; Kuala Lumpur
Workplace: remote
ABOUT YOU
We are looking for an experienced Game Tech Lead to drive the engineering direction of a next-generation immersive multiplayer platform built with Unreal Engine 5.
This is a senior leadership role focused on gameplay systems, multiplayer architecture, scalability, and technical performance. You will work closely with cross-functional creative and technical teams to deliver high-quality interactive experiences across large-scale virtual environments.
The role combines hands-on engineering, technical strategy, and team leadership in a fast-moving product environment.
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
Lead the technical implementation of gameplay systems in Unreal Engine 5
Architect and maintain multiplayer systems, networking, and server-side gameplay infrastructure
Drive engineering best practices, code quality, and long-term technical scalability
Optimize runtime performance across gameplay and multiplayer systems
Collaborate with technical art and creative teams on integrated production workflows
Support cloud-delivered interactive experiences and scalable online environments
Mentor engineers and contribute to technical leadership across the project
Work closely with production and stakeholders to align technical execution with project goals
REQUIRED SKILLS & EXPERIENCE
Strong expertise in
Unreal Engine 5
Advanced knowledge of
C++ and Blueprints
Proven experience building and shipping
multiplayer gameplay systems
Deep understanding of networking, dedicated servers, and online infrastructure
Experience with gameplay architecture and performance optimization
Experience integrating game clients with backend platform services (identity, inventory, commerce, matchmaking, social, or similar)
Strong technical leadership and mentoring experience
Ability to work across engineering, art, and production disciplines
Excellent communication and problem-solving skills
NICE TO HAVE
Experience with cloud-streamed or online interactive experiences
Familiarity with persistent online worlds or immersive virtual platforms
Experience scaling multiplayer environments and live systems
Background in technical prototyping or platform-level systems
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 through a comprehensive Benefits Program. This includes unlimited Flexible Time Off 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.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Petaling Jaya, Malaysia
About Our Client
Our client is a well-established medical technology and healthcare distribution company committed to providing clinically proven, safe, effective, and high-quality products to healthcare professionals.
Since its establishment, the company has focused on introducing advanced medical technologies and healthcare solutions to the market while maintaining high standards of quality and customer service.
With a strong presence across multiple countries in the region, our client serves a broad network of clinics, hospitals, and healthcare providers through an extensive distribution network, supported by long-term partnerships and a commitment to innovation.
Job Description
Our client is looking for a motivated and results-driven Business Development Executive to join their team, focusing on medical devices/injectable products. In this role, you will be responsible for developing and executing sales strategies, building strong relationships with healthcare professionals, and driving new business opportunities.
This position is ideal for individuals with experience in medical sales who are eager to grow their career in a supportive and collaborative environment.
Key Responsibilities
Promote and sell our range of medical devices/injectable products to medical professionals in clinics and hospitals
Conduct product demonstrations to showcase the benefits and features of medical devices/injectable products
Work with marketing team to achieve a synergy of marketing plans with sales efforts
Support the implementation of events such as product launches, trade exhibitions, seminars, workshops, product demonstrations, etc
Develop, build and maintain relationships with healthcare professionals and clients
Identify potential clients and generate new business opportunities
Attend industry conferences and trade shows to generate leads and expand the customer base
Collaborate with internal teams to ensure timely delivery of orders
Key requirements
Preferably with experience in medical device and injectable products
Passion for and strong interest in the medical aesthetic industry
Excellent communication and interpersonal skills
Strong negotiation and persuasion abilities
Able to build and maintain strong relationships with healthcare professionals and clients
Positive, dynamic and results-oriented
Pleasant disposition
Team player and self-starter
Why choose our client?
Supportive workplace culture
Excellent exposure with continuous learning opportunities
Clear paths for career growth and advancement
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 team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery.
About the role
We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future.
You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill.
This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development.
Key responsibilities
Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists
Maintain meticulous, reproducible records and contribute to shared protocols
Troubleshoot experiments, propose adjustments, and present results clearly in group meetings
Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories
Learn and adopt new techniques rapidly as projects evolve, with training provided
Minimum qualifications
Have hands-on research experience in molecular biology, biochemistry, or a closely related field
Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation
Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification
Follow, document, and adapt experimental protocols with care and precision
Are highly motivated, eager to learn, and energized by hands-on bench work
Are practical and resourceful — you'd rather find a way through than a reason it can't be done
Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly
Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next
Preferred qualifications
A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline
Protein expression and purification experience (e.g., affinity, SEC, IEX)
Mammalian cell culture experience, including transfection and stable line maintenance
Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET)
Next-generation sequencing library preparation experience
Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design)
Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting
This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved.
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:
$95,000
—
$120,000 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: 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 team
Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.
About the role
We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science.
Key responsibilities
Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable
Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis
Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions
Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases
Minimum qualifications
Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field
Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
Have basic proficiency in Python and are familiar with ML development practices
Preferred qualifications
Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Can work independently while maintaining strong collaboration with cross-functional teams
Are results-oriented, with a bias towards flexibility and impact
Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration
Published research or practical experience in scientific AI applications
Familiarity with modern machine learning techniques and model training methodologies
Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools
This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you.
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:
$300,000
—
$320,000 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: Aya Napa, Cyprus; Larnaca, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Paralimni, Cyprus
Workplace: on-site
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.
We are currently looking for a highly proactive and detail-oriented
Partnership Manager
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
Responsibilities:
Actively hunt for new business opportunities within the assigned territory, focusing on acquiring new SOHO customers
Execute structured sales roadmaps and daily/weekly field plans, ensuring maximum territory coverage
Plan and perform regular roadtrips and on-site visits to identify prospects, generate leads, and close deals
Build and maintain a strong pipeline of qualified prospects through continuous prospecting and networking
Establish and develop long-term relationships with new and existing customers
Achieve and exceed assigned sales targets, KPIs, and acquisition goals
Promote and sell the full portfolio of company products and services to both new and existing customers
Identify customer needs and provide tailored telecom solutions aligned with business requirements
Ensure consistent follow-up and conversion of leads into sales
Maintain high levels of professionalism, integrity, and customer experience during all sales interactions
Prepare and present weekly sales performance reports, pipeline status, and action plans
University Degree in a related field (Business or Marketing will be considered an advantage)
Previous experience in field sales, B2B sales, or customer acquisition roles will be considered a strong advantage
Strong hunter mindset with a proactive and results-driven approach
Ability to plan and execute structured field activity (roadmaps & roadtrips)
Excellent communication, interpersonal, and negotiation skills
Ability to manage time effectively and work independently in the field
Basic knowledge or strong interest in telecom solutions
Highly organized, resilient, and target-oriented professional
Clean driving license (company car provided)
Fluent in Greek and English
Location: Warsaw, Poland
Workplace: hybrid
Driving Revenue Growth & Strategic Client Expansion
As a Client Partner, you'll play a key role in driving commercial growth and expanding Aleph's footprint in Poland, directly contributing to revenue generation, portfolio expansion and long-term strategic client partnerships.
About Aleph
Aleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We provide the bridge between 55+ of the world’s leading digital platforms and local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we empower our sales teams to drive growth through exclusive partnerships and localized expertise.
✨ Why Build Your Career at Aleph
At Aleph, your work has real impact. You’ll join a fast-growing, innovative, and collaborative team that encourages initiative, creativity, and ownership.
Here’s what makes Aleph unique:
🌍 Global exposure – collaborate with colleagues and clients across multiple countries.
💡 Creative culture – bring bold ideas, test new approaches, and shape strategies.
📈 Career growth – move across teams, take on new responsibilities, and expand your expertise.
🏢 Flexible work culture – we offer flexibility to balance focus and collaboration.
🎁 Well-being & growth – enjoy a benefits package designed to support your personal development and overall quality of life
🎯 What You’ll Do:
Revenue Growth & Portfolio Expansion
Hunt and close: proactively prospect, qualify, and convert new advertisers into Microsoft Advertising clients — this is a net-new business role first, account management second
Build and relentlessly work a high-volume pipeline, from cold outreach to signed deal, with disciplined CRM tracking at every stage
Own an aggressive sales quota and consistently hit or exceed it, month over month
Forecast your pipeline accurately and manage your book of business like it's your own P&L
Strategic Client Leadership
Run sharp, insight-driven client conversations that uncover budget, timing, and decision-making authority fast
Position Aleph's product portfolio as the clear answer to a client's performance goals, not a generic pitch
Negotiate and close deals, leveraging firsthand budget management experience to build credibility and trust with clients
Market & Cross-Functional Impact
Maintain a consistent, high-volume presence in the market through industry events, strategic outreach, and networking to build a sustained pipeline of new business
Monitor platform developments and competitive positioning to inform client conversations and identify emerging opportunities
Represent Aleph and Microsoft Advertising professionally in all client and market-facing interactions, reflecting the standards of an official Microsoft partner
Partner closely with Client Solutions Managers to ensure a seamless handover from close to campaign execution
Maintain client relationships post-close to support long-term account health and future expansion opportunities
🛠 What You Bring to the Table
3+ years of experience in digital advertising, with a strong track record in business development, ad sales, or a closely related commercial function
Proven, hands-on experience managing Google Ads and/or Microsoft (Bing) Ads campaigns; agency experience preferred
Demonstrated ability to generate new business and consistently deliver against revenue targets
Strong understanding of the local advertising ecosystem, including key players and stakeholders
Direct experience with paid search advertising, performance advertising, and e-commerce campaign strategy
Ability to work independently, manage a structured sales process, and consistently meet or exceed targets
Fluency in
Polish
and
English
🎯 How Success Looks
You'll know you're excelling when:
Clients recognize you as a trusted strategic partner, backed by measurable improvements in campaign performance and business growth
You consistently meet or exceed individual revenue targets while contributing to broader team objectives
You proactively identify expansion opportunities within your accounts, driving smarter and more efficient campaign strategies
You generate new business consistently, closing deals that fuel both client growth and Aleph's market expansion
You collaborate effectively across teams, sharing insights and best practices that strengthen outcomes for clients and colleagues alike
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is PLN
120,960
. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.
🚀 Ready to Make an Impact?
If you’re excited to grow client relationships, drive business results, and shape the future of digital advertising, Aleph is the place to make it happen. Apply today and become part of a team that’s transforming client success locally and globally.
#ALEPH
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision.
— Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models.
— Develop simulation tools to model analog behavior with minimal computational overhead.
— Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
— Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
— Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Требования:
— Background in mathematics, physics, computer science, or a related quantitative field.
— Strong interest and skills in applied mathematics and statistics.
— Strong experience with quantization of machine learning and AI models.
— Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
— Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
— Experience with inference performance optimization.
— Good knowledge of computer architecture, GPU architecture, or parallel computing.
— Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
— GitHub profile with recent and relevant projects.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Location: Remote Poland, Poland
Workplace: remote
WELCOME TO OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
Join Our Team as an AI-native Staff Backend Engineer!
Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland.
Are you someone who is craving scalable problems and dealing with optimizations?
You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been!
You will play a key role in enabling our organisation to scale efficiently.
Who we are looking for:
You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability.
You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment.
Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed.
Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives.
Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases.
Big-picture thinker: aligns technical decisions with business strategy, influences without authority.
Clear communicator in English across engineering, product, and leadership audiences.
Self-starter who identifies what needs doing and takes initiative without waiting to be asked.
Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise.
What you will be doing:
Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code.
Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints)
Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on.
Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories.
Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined.
Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe.
Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority
Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut.
Our Hiring Process:
Recruiter Screen
Management Capabilities
System Design
Live Coding
Our Benefits
Monthly salary and an annual bonus (20%)
Training and conference budget, and free access to Udemy courses
A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more
IP rights’ costs - 80%
100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw)
If you think this is the role for you, send your application in English and let’s talk!
If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Mexico; Colombia; Argentina; Peru; Panama; Ecuador
Our client is a fast-growing third-party logistics provider committed to delivering customized transportation solutions that help businesses optimize their supply chains. Serving customers across the United States, they offer a comprehensive portfolio of services, including Full Truckload (FTL), Less-than-Truckload (LTL), automated parcel shipping, and intermodal transportation. As they continue to expand their commercial team, they are seeking experienced Freight Brokers who are passionate about building customer relationships and driving business growth.
This is an exciting opportunity for sales-driven professionals who thrive in a fast-paced transportation environment and have an established network of shipper relationships. The successful candidates will play a key role in expanding business across the U.S. market while also supporting export opportunities from Latin America. The ideal candidate is a proactive relationship builder with a strong understanding of the trucking industry, a proven ability to generate and manage freight opportunities, and experience coordinating FTL, LTL, and intermodal shipments.
Key Responsibilities
● Develop, manage, and grow an existing book of business with shippers across the U.S. market.
● Build long-term relationships with new and existing customers through proactive sales and account management.
● Identify new business opportunities and generate revenue through outbound prospecting.
● Coordinate and manage freight movements across Full Truckload (FTL), Less-than-Truckload (LTL), and intermodal transportation.
● Negotiate rates and service solutions with customers and carriers to maximize profitability while ensuring high-quality service.
● Monitor shipments from pickup through delivery, proactively resolving issues and maintaining customer satisfaction.
● Maintain accurate customer and shipment records within the company's systems.
● Consistently meet daily sales activity.
● Collaborate with internal teams to ensure efficient execution and exceptional customer service.
Qualifications
● 2–3 years of experience as a Freight Broker or in a similar logistics sales role.
● Previous experience within the trucking and transportation industry.
● Existing book of business and established relationships with shippers.
● Demonstrated experience selling transportation services within the U.S. market.
● Strong knowledge of FTL, LTL, and intermodal transportation services.
● Excellent negotiation, communication, and relationship-building skills.
● Self-motivated, results-oriented, and comfortable working in a high-volume sales environment.
Location: North Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Location: Remote,
About the company
Our client is a fast-growing FinTech startup revolutionizing the investment landscape by bridging the gap between sophisticated financial data and artificial intelligence. They have developed a comprehensive research stack that unifies real-time market data across thirteen asset classes—including stocks, crypto, options, and macroeconomics—into a single, AI-native ecosystem. By providing institutional-grade tools like backtesting engines and congressional trade trackers at a fraction of traditional costs, the team empowers retail and professional traders worldwide to make data-backed decisions with speed and conviction.
Job Summary
This is a high-impact opportunity to join a stealth-stage FinTech startup at the intersection of Generative AI and global finance. The team is building cutting-edge tools that connect Large Language Models (LLMs) to live financial data, providing research terminals and APIs for sophisticated trading firms. We are looking for a tenacious, finance-savvy SDR to drive our outbound engine. You will be the first point of contact for institutional prospects, playing a critical role in scaling our revenue and defining our market presence.
Key Responsibilities
Execute high-volume outbound prospecting, including approximately 100 cold calls per day.
Qualify leads and secure a target of 20+ meetings per month with key decision-makers in the trading and investing sectors.
Manage the top-of-funnel pipeline to contribute to a consistent flow of closed deals.
Articulate the value of technical financial products, LLM integrations, and APIs to sophisticated market participants.
Maintain rigorous CRM hygiene and track all outreach activity via Smartleads and Microsoft Teams.
Partner with leadership to refine sales messaging and objection-handling strategies based on real-time market feedback.
Requirements
1-4 years of experience in an SDR, cold calling, or outbound sales role, preferably within a SaaS environment.
A deep interest in or professional knowledge of trading, investing, and financial markets.
Proven resilience and the ability to handle the high-rejection environment of outbound sales.
Exceptional verbal and written communication skills in English.
A self-starter mindset with the ability to operate independently in a fast-paced, remote startup environment.
Strong sales acumen and a focus on revenue generation.
Nice-to-Haves
Direct experience selling technical products, data-driven tools, or financial APIs.
Previous experience in a FinTech or trading-focused startup.
Proficiency with outbound automation tools and modern CRM systems.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Location: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
This is not a typical sales role. We are a luxury London-based fine art portrait studio dedicated to women’s empowerment and transformation. As an Inside Sales Representative, you are the first point of contact for women embarking on a deeply personal journey of self-discovery. Your mission is to conduct high-empathy discovery calls, qualify potential guests, and book them into life-changing photography experiences. We are looking for a high-performing professional who thrives on accountability, loves hitting targets, and feels comfortable navigating intimate conversations regarding body image and confidence.
Key Responsibilities
Conduct high-volume discovery calls with leads generated through social media ads.
Manage "Speed to Lead" by responding to 90% of inquiries within 15 minutes.
Qualify potential guests to ensure they are a fit for the studio’s luxury high-ticket model.
Expertly handle objections and close bookings with a target rate of 40%.
Maintain a high show rate (80%+) through diligent follow-up and relationship building.
Manage calendars and maintain meticulous notes within the CRM.
Maintain a high level of performance, aiming for 20+ qualified bookings per week.
Requirements
Proven B2C (Business-to-Consumer) sales experience with a strong track record of selling directly to consumers (B2B experience alone is not sufficient).
Proven experience conducting discovery calls, lead qualification, and high-ticket sales.
Exceptional empathy and the ability to hold space for emotional, vulnerable conversations.
Strong command of the English language with excellent verbal and written communication skills.
Ability to work a Wednesday–Sunday schedule, including evenings and weekends.
A data-driven mindset, comfortable working toward clear KPIs, talk-time targets, conversion metrics, and performance dashboards.
Ability to work remotely with a reliable schedule that aligns with GMT hours.
Nice-to-Haves
Experience using GoHighLevel (CRM).
Background in women's wellness, coaching, or the luxury transformation space.
Previous experience working in a remote, high-growth startup environment.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
📈 Clear career progression to Account Executive and beyond
🎯 Performance-based bonuses and incentives
🤝 Direct hire with global clients (not outsourced)
🧠 Ongoing training, mentorship, and sales development support
Location: Brazil; Portugal; Pakistan; India; Philippines; South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Role Type: Full-time
Engagement: Independent Contractor
Working Hours: 9AM to 3PM EST
About the company
Our client is a dynamic creative agency specializing in full-service digital marketing solutions tailored exclusively for the real estate industry. By integrating high-end architectural renders, custom web development, and strategic social media management, the team helps property developers and agents elevate their digital presence and drive lead generation. The agency focuses on visual storytelling and technical precision to bridge the gap between physical spaces and digital experiences, ensuring their clients stand out in a competitive luxury market.
Job Summary
We are seeking a precise, reliable, and Figma-savvy Graphic Designer to join a fast-paced real estate marketing agency. In this role, you will be the engine behind the "Blueprint Studio" deliverables, transforming concepts into high-quality branding, marketing collateral, and digital assets. This is a perfect opportunity for a designer who prides themselves on clean execution and quick turnarounds, offering a clear path to step into creative leadership as the team expands.
Key Responsibilities
Execute a consistent queue of design tasks including branding assets, social media graphics, print materials, and floorplans.
Adapt and build out marketing collateral within Figma based on established brand guidelines.
Manage light web design and presentation work to support client launches.
Handle revisions quickly and accurately, ensuring feedback is implemented with minimal back-and-forth.
Maintain highly organized file structures and workflows within Figma to ensure seamless team collaboration.
Communicate daily with leadership to track progress on deliverables and meet strict deadlines.
Requirements
Proficiency in Figma: You must be an expert in the tool, from layout design to component management.
Professional Graphic Design Experience: A solid portfolio demonstrating clean, on-brand work (ideally within a marketing or agency setting).
Reliability & Consistency: We value "low-drama" execution - hitting deadlines and delivering polished work every time.
Excellent English Communication: Ability to understand complex briefs and explain design choices clearly.
Nice-to-Haves
Experience in Brand Strategy or the Real Estate industry.
Proficiency in Portuguese.
Experience with Slack for team communication.
Multi-disciplinary skills: Web design, motion graphics, or video editing.
Benefits
💻 Fully Remote: Work from anywhere with international teams
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
УдалённоseniorSpain
УдалённоseniorIsrael
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УдалённоleadSao Paulo, Brazil; Serbia; Almaty; Armenia; Baku; Barcelona; Berlin, Germany; California; Canada; Cyprus; Dubai, United Arab Emirates; Georgia; Istanbul; Montenegro; Kuala Lumpur
San Francisco, CA
San Francisco, CA
ГибридWarsaw, Poland
УдалённоseniorFrance
УдалённоRemote Poland, Poland; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
УдалённоNorth Macedonia; Serbia; South Africa; Poland; Morocco; Philippines
УдалённоSouth Africa
УдалённоBrazil; Portugal; Pakistan; India; Philippines; South Africa; Working Hours: 9AM to 3PM EST
