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Location: Canada 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: 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.

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. About The Role: We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it. This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery. What You'll Own: The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us. The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting. A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern. The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee. What You'll Do: Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early. Build the hard parts yourself. Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend. Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on. Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages. Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up. Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals. Raise the bar through others: mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management. Evaluate third-party and vendor solutions against our integration and data requirements. Monitor systems against performance and business benchmarks and escalate with concrete recommendations. What We're Looking For: Substantial experience as a staff/principal engineer (or equivalent) on integration-heavy, data-heavy systems — ideally where you didn't control the external APIs. Still hands-on. You lead by building, and you're demonstrably strong in production code, not only in design. Depth in at least one of PHP, Go, or Python , and comfort across a polyglot estate (TS/JS on the front). A track record of modernising legacy systems incrementally without halting delivery. Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning. A history of driving technical decisions through influence rather than authority — getting senior leadership and peer engineers to commit to a direction, and backing it with working code. Nice To Have: Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.). Data warehouse / analytics pipeline experience (e.g. BigQuery). Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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 (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Abu Dhabi, UAE; Remote About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced, customer-obsessed Principal Solutions Architect – Middle East to lead technical engagement with Nebius' most strategic customers across the Gulf region. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership—from early discovery through production adoption. As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI Cloud for mission-critical AI/ML workloads across the Middle East. The ideal candidate has extensive experience working with enterprise organizations in the Gulf region, understands the local technology landscape, and can effectively engage both business and technical stakeholders ideally in Arabic and English. You're welcome to work remotely from the Middle East , with preference for candidates based in the United Arab Emirates . Your responsibilities will include: Own end-to-end technical presales and solution delivery for strategic and enterprise customers across the Middle East, from initial discovery through PoC, architecture design, and production readiness. Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams). Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms. Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI. Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption. Build trusted relationships with customers across government, enterprise, AI-native, and digital-native organizations throughout the Gulf region. Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions. Act as a single point of technical authority for key customer scenarios across internal teams (Product, Support, Marketing). Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership across the Middle East. Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization. We expect you to have: 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar, with significant customer-facing responsibilities. Deep expertise in cloud infrastructure, distributed systems, networking, storage, Kubernetes, containers, and GPU-accelerated computing. Strong understanding of AI/ML infrastructure, MLOps platforms, model training, inference, and large-scale GPU environments. Experience designing and delivering complex enterprise architectures and technical solutions for strategic customers. Excellent communication and executive presentation skills, with the ability to translate complex technical concepts into business value. Demonstrated experience leading technical discovery sessions, architecture workshops, and proof-of-concepts. Experience collaborating with Sales, Product, Engineering, and Customer Success organizations. Strong experience working with enterprise customers across the Gulf Cooperation Council (GCC), including the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. Strong understanding of the regional technology ecosystem, procurement processes, and customer landscape in the Gulf countries. Native or fluent Arabic and professional English are required. Ability to travel across the Middle East as required. It will be an added bonus if you have: Experience working with hyperscale cloud providers or AI infrastructure companies. Experience supporting sovereign cloud, government, or regulated industry customers. Knowledge of modern AI frameworks, distributed training technologies, and open-source AI tooling. Public speaking experience at industry conferences or technical community events. Existing relationships within the regional AI, cloud, or enterprise technology ecosystem. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia You see software development and team organization not as a rigid set of rules, but as a craft that deserves better tools. You want to design complex, data-rich productivity platforms where information architecture is a first-class problem, and you want to rethink how humans work alongside AI. If you are a designer who values hands-on craft, hates unnecessary bureaucracy, and wants the autonomy to build a team's design process from scratch, this role was built for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do YouTrack handles serious complexity – agile boards, backlogs, knowledge bases, helpdesks, and deeply customizable workflows – across teams from two-person startups to global enterprises. We’re at a point where the category's oldest assumptions are worth reconsidering. Issue tracking has relied on the same foundational blocks for years, but AI opens an opportunity to rethink how software can actively help teams get work done. We need a Lead Product Designer to shape where project management goes next while keeping a massive, mature surface area coherent, legible, and a pleasant to use. In this role, you’ll lead a small design team of two designers, own the overall design quality bar across the product, and act as an individual contributor on our hardest, least-charted problems. You’ll build a fresh design process from scratch with the full backing of a team lead who respects craft and values professional judgment. Day to day, you will: Shape a point of view on how project management and issue tracking evolve in an AI-native world and turn those concepts into tools people can actually use. Design how people work alongside AI capabilities in YouTrack, from conversational interfaces to inline assistance and background automation. Develop interaction patterns for unsettled problems, including surfacing AI confidence, making actions transparent, and keeping users in control. Prototype and test new concepts quickly, separating ideas that feel clever from those that genuinely reduce friction. Keep a large, deep product coherent so that boards, helpdesks, reports, and administration feel like a single cohesive engine. Partner with product management and engineering to shape roadmap priorities from a design perspective, influencing what gets built and why. What you’ll bring A deep commitment to craft ownership, holding yourself and your team to high standards without creating bottlenecks. Comfort building clear, lightweight processes, without turning them into restrictive bureaucracy. The generosity to share knowledge openly and collaborate across a broad, global design community. Clarity in your writing and reasoning, with the ability to explain complex design decisions in plain words. Comfort with ambiguity and a healthy appetite for finding the right questions before designing the answers. Strong opinions, loosely held, with a clear understanding of when to follow platform conventions and when to break them. What you’ll need Successfully led the design of complex, data-rich productivity tools or software systems where information architecture is a primary challenge. Proven understanding of how modern AI systems operate beyond single-turn prompts, including agentic workflows and multi-step execution. Experience mentoring and leading other designers, giving clear feedback that lands and raises the bar. Ability to design unified experiences that cater to small startup teams and large enterprise customers simultaneously. A portfolio showing a range of work from precise micro-interactions to large-scale information architecture. What success looks like Success means earning the trust of your team and peers through sound interaction choices and clear systemic improvements. You will establish a reliable critique rhythm and a structured way of working that helps your designers grow. Within your first few months, delivering clear patterns for our AI capabilities, paying down accumulated UX debt, and ensuring YouTrack remains both deep and remarkably quick on its feet. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work schedule. Enjoy the freedom to work from home or from the office. Extra time off. More days to relax, recharge, and do the things you love. Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. Assistance to help make your move as smooth and stress-free as possible. Free meals and snacks. Lunch and refreshments provided to keep you fueled. Health and wellness. On-site gyms or sports club stipends. Internal events. Company-wide celebrations and team gatherings. If this sounds like you, we’d love to hear from you. #LI-DNI 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: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a founding Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.   In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You are fluent in English and Korean native - You hold a PhD / master in AI / data science/ software or you’re self-made - You have 10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases, OR - You have strong technical coding skills in Python and TypeScript, and experience with front-end and backend frameworks such as React/ NextJS/ VueJS, and NodeJS - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience with LLM/GenAI models - Experience as a hands-on CTO, VP Engineering, Director Engineering, Head of ML, Forward Deployed Engineering leadership, and related scopes - Experience founding a startup or as a founding member of a fast growing startup WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: 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 We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,  unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework,  tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work Capable of independently leading complex investigations. Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale Have built processes, detection systems, or programs from scratch and can show what changed because of them Communicate crisply with executives, engineers, and external partners alike Preferred qualifications Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale Background in financial crime investigation or fraud analytics Experience working directly with U.S. government stakeholders on threat reporting A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context Active Top Secret security clearance 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: $375,000 — $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Munich Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE   As an early member of our Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.    WHAT YOU WILL DO   Your scope will be as follows:   Pre-Sale & Sales Activities: • Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives • Help onboard AI Platform and model updates to strategic partner platforms • Drive enablement at scale across strategic partner technical and sales teams • Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc. • Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary. • Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.    Product Implementation & Integration: • Be the “user zero” to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams. • Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability) • Guide and support partners and customers in deploying our text completion API into their infrastructure. • Work closely with customers and partners to fine-tune models according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements.   Customer & Partner Success & Support: • Collaborate with Account Executives to ensure that the customer is maximizing the product's potential. • Provide post-deployment support, addressing any issues or challenges that arise promptly. • Offer recommendations for product optimizations or new features based on customer feedback. • Develop custom features for customers as needed.   WHAT WE'RE LOOKING FOR   • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer). • Experience partnering with large technology cloud or platform providers, sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution. • Hands-on experience in deployment AI solutions and leveraging technical skills throughout implementations • Ability to successfully drive complex interactions with tech teams and to connect with technical stakeholders • Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions • Experience building enablement assets and driving enablement or evangelism at scale • Track record of managing complex implementation projects from discovery to delivery • Experience running solution design workshops and translating business requirements into technical specifications • Strong stakeholder management skills, including experience working with C-level executives • Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences • Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience) • Nice to have: track record in managing partnerships and customer-facing interactions, creating strong relationships that align with business objectives and bring customer satisfaction • Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.  • Experience working in a constantly changing environment with multiple internal stakeholders • Demonstrated ability to collaborate with cross-functional teams • Strong written and verbal communication skills in English (fluent) and, ideally, other European languages WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability. Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments. We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator. WHAT YOU’LL DO - Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe. - Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to refine quality. - Prototype in code and validate with customers: Build interactive prototypes in React and TypeScript and test them with real users using self-serve research tools. Use what you learn to refine flows before full systemization. - Bridge design systems, product, and brand: Translate Ramp’s design principles into reusable components and patterns. Extend the design system so expressive, brand-aligned moments are easy to build and scale. - Reveal what our agents are doing without noise: Design patterns that show what AI and automation are doing on behalf of customers. Use hierarchy, copy, and motion to earn trust while keeping the default experience simple. - Champion performance and accessibility: Ship work that is fast, accessible, and robust. Pay attention to semantics, focus states, reduced motion, and Core Web Vitals. Partner with engineers to debug and optimize over time. - Share AI-native workflows: Document prompts, patterns, and workflows you use in Cursor and Claude Code. Share them with designers and engineers to raise the bar across the team. WHAT YOU NEED - Strong experience across both design and front-end engineering, with ownership from idea to shipped interface - Fluency in React, TypeScript or JavaScript, semantic HTML, and modern CSS - Active use of tools like Cursor and Claude Code, with clear opinions on how to get high-quality output - A portfolio that shows high visual and interaction craft in live experiences or working prototypes - A systems mindset and interest in building reusable components and patterns - Care for performance, accessibility, and reliability as part of craft - Clear written and verbal communication, and comfort pairing with designers, engineers, and marketers - Based in or open to relocate to NYC NICE TO HAVES - Experience contributing to a design system or front-end component library - Familiarity with experimentation or analytics tools - Experience with headless CMS, design tokens, or theming systems - Background in fintech, B2B SaaS, or other trust-heavy domains - Interest in mentoring others on AI-native workflows BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Ramat Gan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments. What You’ll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform. Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics. Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks. Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments. Stakeholder Partnership & Requirements Translation Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal. Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications. Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions. Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15). Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication. Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team. Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value. Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels. Program Strategy & Delivery Oversight Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live. Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution. Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release. Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact. Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities. Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge. Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds. What You’ll Bring 8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role. Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred. Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders. Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close. Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems. Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources. Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code. Experience with consumption-based or usage-based billing models About the team You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close. We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $235,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost. If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you. About the Role We’re looking for a Mid-Level Android Engineer who takes ownership of delivering medium-to-large features end-to-end, from design to production. You’ll make technical decisions independently, manage risks and dependencies, and ensure reliable, high-quality releases that drive team and product impact. You’ll design scalable Android modules, write clean, maintainable, and well-tested code, and improve existing workflows through automation, tooling, and documentation. You’ll collaborate closely with Product, Design, QA, and Backend teams to resolve ambiguity early and deliver features smoothly across functions. As a key contributor, you’ll also provide informal mentorship, share knowledge through code reviews, and help onboard and guide newer engineers, reinforcing a culture of collaboration and continuous improvement. In this role, you will: Lead the delivery of medium-to-large mobile features from design to production. Break down requirements, estimate effort, and manage risks with minimal oversight. Write clean, maintainable code with strong unit and integration test coverage. Design and implement scalable modules aligned with team architecture standards. Ensure stability post-launch through proactive testing, monitoring, and debugging. Collaborate closely with Product, Design, QA, and Backend teams to deliver high-quality user experiences. Improve team efficiency through automation, tooling enhancements, and better documentation. Provide constructive code reviews and support peers through informal mentorship. Key Qualifications Bachelor’s degree in Computer Science or a related field. 3–5 years of professional experience in Android development. Strong proficiency in Kotlin and experience with Jetpack Compose and other Jetpack libraries. Familiarity with Dependency Injection (DI) frameworks. Experience designing and building Android features or modules following best practices and design patterns. Understanding of mobile architecture principles, performance optimization, and scalability basics. Knowledge of the mobile development lifecycle, including testing and debugging. Experience with Git and collaborative development workflows. Ability to write clean, maintainable, and well-tested code. Good problem-solving skills and ability to work independently with minimal guidance. Experience with app analytics or crash reporting tools (e.g., Firebase Analytics, Crashlytics) is a plus. Familiarity with reactive programming (RxKotlin, Flows, etc.) is a plus. Strong communication and collaboration skills within a cross-functional team. Why Toters Flexible work environment with hybrid-friendly roles. Opportunity to lead impactful initiatives and shape technical strategy. Collaborate with talented engineers while growing your career. Strong culture of mentorship, collaboration, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis Overview The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers. In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability. We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement. Key Responsibilities Logging Architecture Define and drive the overall platform logging strategy. Design and implement logging frameworks for AOSP-based systems. Establish log collection, storage, retention, and archival strategies. Define structured logging standards and best practices. Design logging mechanisms optimized for field debugging and post-release analysis. Improve platform observability and telemetry quality. Diagnostics & Debuggability Build infrastructure for Crash, ANR, Native Crash, and Kernel Panic analysis. Define strategies for collecting and analyzing Tombstones, DropBox entries, Bugreports, and diagnostic artifacts. Develop diagnostic frameworks for system failure analysis and troubleshooting. Create tools that support issue reproduction and root cause analysis. Drive initiatives that improve platform debuggability and diagnosability. Partner with development teams to ensure diagnostic capabilities are built into the platform. Post-Release Incident Analysis Investigate and analyze production issues occurring in customer environments. Identify, classify, and track recurring failure patterns. Lead incident reviews, postmortems, and corrective action initiatives. Drive improvements in Mean Time to Detect (MTTD) and Mean Time to Resolution (MTTR). Provide actionable recommendations to engineering teams for quality improvements. Monitoring & Alerting Design and implement log-based monitoring systems. Develop anomaly detection mechanisms for platform health and stability. Build automated alerting and escalation frameworks. Create dashboards and reporting tools for field quality monitoring. Define and track reliability metrics and operational KPIs. Security & Compliance Design and implement secure logging and diagnostics infrastructure. Ensure protection of PII and sensitive customer information. Support security incident investigations and forensic analysis. Define log retention policies and ensure compliance with company and regulatory requirements. Collaborate with Security teams to implement secure-by-design principles. Required Qualifications A genuine passion for delivering high-quality software and exceptional user experiences, with a strong sense of ownership and accountability for product quality. Experience working in Agile development environments and driving continuous quality improvements through iterative development, data-driven decision making, and customer feedback. Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience. 5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio. Experience developing Android/AOSP system software. Experience designing and implementing Logging, Diagnostics, or Observability systems. Strong experience with crash analysis, production debugging, and root cause investigation. Experience debugging Linux Kernel or low-level system software issues. Strong programming skills in C/C++, Java, and/or Kotlin. Experience analyzing large-scale production incidents and system failures. Proven track record of conducting Root Cause Analysis (RCA) and driving corrective actions. Strong understanding of software architecture, operating systems, and system software fundamentals. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience developing Android Framework components. Experience with Kernel Logging, Tracing, and low-level diagnostics. Hands-on experience with Perfetto, Systrace, ftrace, or similar profiling and tracing tools. Experience building or operating Crash Analytics platforms. Experience with Security Incident Response and forensic investigations. Experience developing Consumer Electronics products. Site Reliability Engineering (SRE) experience. Experience with modern JavaScript frameworks such as React, React Native, Angular, or similar technologies for building responsive user interfaces and dynamic applications. Experience designing telemetry, observability, monitoring, or analytics platforms. Familiarity with cloud-native logging and analytics solutions. Experience developing developer tools, debugging tools, or operational dashboards. What We're Looking For Passion for quality, reliability, and operational excellence. Strong ownership and accountability for outcomes. Customer-focused mindset with a commitment to exceptional user experiences. Ability to investigate complex system-level issues and identify root causes. Strong collaboration skills across cross-functional teams. Continuous improvement mindset and commitment to engineering excellence. Impact Your work will directly influence the quality, reliability, and supportability of PlayStation Portal products used by millions of players worldwide. By building world-class logging, diagnostics, monitoring, and incident analysis capabilities, you will enable engineering teams to detect issues faster, resolve them more efficiently, and continuously improve the customer experience. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $193,300 — $289,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab is building the most comprehensive AI-powered DevSecOps platform, and this role will help shape how teams move from planning to code in an AI-native software development lifecycle. As Senior Product Manager, Source Code, you'll shape how planning and managing source code will evolve in an AI-native software development lifecycle. This role is focused on bringing planning and code closer together, so teams can move from requirements and specifications to commits, merge requests, and customer value with speed and quality. This area is evolving quickly. We're exploring how AI agents can use specifications, context, and human feedback to build the right thing, not just build the thing right. You'll define new product experiences for spec-driven, human-in-the loop development: how the link between planning intent and the code that implements it gets created, stays accurate as both change, and gets used at review time. The hard part is that this link decays. Code moves, specs might not follow, you will define how to make that connection self-maintaining. This is an ambiguous, high-impact opportunity for a product manager who has strong software development lifecycle knowledge, is comfortable working with technical teams, and wants to help create something new in DevSecOps. What You’ll Do Define and drive product strategy for experiences that connect planning, source code management, and AI-assisted development. Shape workflows where teams and agents move between intent and code in both directions, so a specification can be traced to the merges that implement it and a diff can be read and reviewed against the intent behind it. Work with engineering, design, and other product teams to build product experiences that support human-in-the-loop and autonomous development workflows. Partner with teams working on demos and prototypes, including near-term work around spec-driven planning and autonomous development modes, including which decisions stay with a human and why. Use customer insights, product usage data, and market context to identify opportunities that can deliver customer value quickly. Help teams ship fast with quality, balancing near-term execution with longer-term product direction. Explore how planning can better account for reviewing code, reviewing test cases, and validating that work produced by agents matches the intended outcome. Collaborate across Plan, Source Code Management, Code Review, and AI product areas to reduce friction across the software development lifecycle. What You’ll Bring Experience as a product manager working on developer tools, DevOps tools, source code management, planning tools, AI-native products, or related software development lifecycle products. Direct, hands-on experience with the source code lifecycle, including branches, merge requests, code review, CI/CD, and releases, whether as a product manager or as an engineer, along with a strong understanding of how software moves from ideas and requirements through planning, coding, review, testing, and delivery. Experience working with technical product areas and engineering teams, with enough technical depth to understand developer workflows and tradeoffs. A data-forward approach to product management, including experience using data to identify customer impact and guide prioritization. Comfort operating in ambiguous spaces where there may not yet be a clear market pattern or established product category. Experience building or shipping with AI tools and agents, not just using them, and a point of view of your own on where AI helps and where it does not across the software development lifecycle. Ability to think creatively about how AI changes the software development lifecycle and how product experiences should adapt. Strong collaboration and communication skills, especially in an all-remote, asynchronous environment. A bias toward action and the ability to help teams ship meaningful customer value quickly. About the team This role sits within the Product organization and will work closely with teams across Plan, Source Code Management, Code Review, and AI. We are focused on helping GitLab customers plan, build, and deliver software in a faster, more connected way. You'll join a group that is rethinking how planning and coding should work as AI changes the speed and shape of software development. Rather than treating planning, coding, and review as separate stages, we're exploring how to bring these workflows closer together so humans and agents can collaborate more effectively. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .