Вакансии

Location: Yerevan; Poland; Spain; Ukraine; Serbia Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness. Domain Focus Deep, current expertise in one or both of our priority verticals is a leading selection criterion: Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows. Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries. Forward-Deployed Delivery (FDE / FDX) Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other: FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos. FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential. Requirements: Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. Fluent English. A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. Design thinking, data-driven decisions, strong communication and executive storytelling. Bias to action; thrives in ambiguity with structured problem-solving. Enough engineering empathy to earn credibility with senior engineers and architects on day one. Nice to Have: Second priority vertical beyond your primary FSI/HCLS focus. Prior experience in a Premier AWS or Anthropic partner environment. Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. Software development background. What You'll Do: Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments. Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result. Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. Break complex work into incremental releases; balance delivery against technical debt and architecture. Sprint-Enable-Realize engagement model. Lead Agile execution - backlog, sprint planning, release process. Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. Define success metrics and analytics; drive continuous improvement and root-cause analysis. Support change management, enablement, and reusable playbooks so wins repeat across accounts. Why Join Us: Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact. Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers. Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks. Remote-friendly culture. Private medical insurance or sports coverage Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work.

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: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is seeking a results-oriented Business Development Representative. The ideal candidate will be a self-starter with a proven track record of success in qualifying leads for commercial and enterprise-level accounts in the tech industry. RESPONSIBILITIES: - Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses - Identify the needs and challenges of the prospective customer - Determine the prospect's interest in Docker - Schedule discovery meetings for sales representatives and prospects - Achieve a target number of qualified prospects and new opportunities - Respond to and qualify incoming inquiries regarding interest in Docker products - Craft a great first impression to our prospects and customers by adding value during every customer touchpoint - Partner with cross-functional teams to share customer feedback - Engage in team development and mentoring QUALIFICATIONS: - 1+ years of work experience in an outbound-focused Sales role - A demonstrated track record of success - Proactive and driven - Excellent phone, writing, and listening skills - A propensity and willingness to gain a strong understanding of the industry and basic use cases/value propositions that our product offers - High integrity and a team-first mentality - Detail-oriented and strong work ethic - 4-year college degree or equivalent experience preferred WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program - You will learn how to navigate through award-winning sales tools such as; Salesforce, ZoomInfo, Common Room, Outreach, Sales Navigator, and Docker - You will begin core SDR functions; prospecting, lead qualification, appointment setting go, warm handoffs, Salesforce hygiene, and pipeline management. - You will work closely with your manager, shadow your peers, and partner with your Account Executive to develop prospecting strategies and campaigns unique to your territory - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role FIRST 60 DAYS - During your second month, you will be laser-focused on company research and identify target accounts and prospecting strategies in your territory - Build prospecting lists for target accounts and key decision-makers and then reach out to them using all communication channels (cold calls, email, chat, and social media) - You will comprehend and maintain in-depth knowledge of Docker’s products and have a great pitch - Adhere to team KPI metrics and prospecting standards - You will have an advanced understanding of tools, activities, and best practices to be successful in the BDR role FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself in your day job fully - You will continue efforts to improve messaging, processes, and daily activities - You will be an accomplished lead qualifier and an expert with tools and processes - You will be ready to operate independently at full speed Docker does not offer visa sponsorship for this role. Compensation & Equity United States: $59.5K – $85K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Paris Workplace: Remote ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Voodoo’s Growth team is responsible for turning our games into successful products, combining user acquisition, creative, monetization, and data. Within Growth, the Playable Ads team turns our games into short, interactive experiences designed to make players stop, play, and want more. Working closely with playable developers and creative teams, we design, produce, test, and iterate on playable ads across our 20+ game portfolio. ROLE Your goal will be to make someone stop-scrolling, understand a game, enjoy playing it, and want to discover more: all within a few seconds. You’ll coordinate creative production with internal and external teams, improve performance, and drive innovation. Managing your own portfolio of games, you will: - Deconstruct games into their most engaging moments: understand core loops, player motivations, difficulty curves and “aha” moments, then identify what can be turned into a compelling playable ad. - Design playable concepts from scratch: come up with interactive experiences that capture the essence of a game in seconds, balancing gameplay depth, accessibility, pacing and curiosity. - Think like both a game designer and a growth strategist: make creative decisions with a clear hypothesis around player behavior, then use performance data to understand what actually drives engagement. - Write sharp gameplay briefs: translate ideas into clear mechanics, flows, difficulty progressions and player journeys that developers and production partners can execute. - Work closely with developers and creative teams: guide production from the first concept to the final playable, making sure the gameplay feels intuitive, satisfying and true to the original game. - Iterate relentlessly: analyze performance, identify where players drop off or engage, and turn those learnings into the next, better version. PROFILE We’re open to different backgrounds. What matters most is your ability to understand what makes a game engaging, turn insights into strong creative concepts, and drive them through production. - You have a strong understanding of gameplay, player behavior, creative strategy, or growth, and know how to turn insights into actionable ideas. - You have strong analytical and problem-solving skills, with the ability to benchmark markets, identify trends, formulate hypotheses, and turn them into creative strategies. - You have excellent project management skills and can turn ideas into clear briefs, align internal and external stakeholders, and drive projects from concept to execution. - You have a sharp creative eye and can articulate why a concept, mechanic, or design choice works (or doesn’t). - You have a strong interest in mobile games and apps, and enjoy understanding what makes players engage within seconds. - You’re entrepreneurial, autonomous, and comfortable in a fast-paced environment, with a strong bias towards testing, learning, and iterating. - Hands-on experience with AI creative tools (Scenario, Seedance, Kling, Veo, Runway, etc.) is a plus. - Experience with playable ads, game production, or third-party creative partners is a plus. - You are fluent in English. BENEFITS - Competitive salary and other benefits according to the country you reside in. Full remote for candidates based abroad, with relocation to Paris subject to discussion. Hybrid for candidates based in France.

Location: Warsaw, Poland Workplace: hybrid Driving Revenue Growth & Strategic Client Expansion As a Client Partner, you'll play a key role in driving commercial growth and expanding Aleph's footprint in Poland, directly contributing to revenue generation, portfolio expansion and long-term strategic client partnerships. About Aleph    Aleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We provide the bridge between 55+ of the world’s leading digital platforms and local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we empower our sales teams to drive growth through exclusive partnerships and localized expertise. ✨ Why Build Your Career at Aleph At Aleph, your work has real impact. You’ll join a fast-growing, innovative, and collaborative team that encourages initiative, creativity, and ownership. Here’s what makes Aleph unique: 🌍 Global exposure – collaborate with colleagues and clients across multiple countries. 💡 Creative culture – bring bold ideas, test new approaches, and shape strategies. 📈 Career growth – move across teams, take on new responsibilities, and expand your expertise. 🏢 Flexible work culture – we offer flexibility to balance focus and collaboration. 🎁 Well-being & growth – enjoy a benefits package designed to support your personal development and overall quality of life 🎯 What You’ll Do: Revenue Growth & Portfolio Expansion Hunt and close: proactively prospect, qualify, and convert new advertisers into Microsoft Advertising clients — this is a net-new business role first, account management second Build and relentlessly work a high-volume pipeline, from cold outreach to signed deal, with disciplined CRM tracking at every stage Own an aggressive sales quota and consistently hit or exceed it, month over month Forecast your pipeline accurately and manage your book of business like it's your own P&L Strategic Client Leadership Run sharp, insight-driven client conversations that uncover budget, timing, and decision-making authority fast Position Aleph's product portfolio as the clear answer to a client's performance goals, not a generic pitch Negotiate and close deals, leveraging firsthand budget management experience to build credibility and trust with clients Market & Cross-Functional Impact Maintain a consistent, high-volume presence in the market through industry events, strategic outreach, and networking to build a sustained pipeline of new business Monitor platform developments and competitive positioning to inform client conversations and identify emerging opportunities Represent Aleph and Microsoft Advertising professionally in all client and market-facing interactions, reflecting the standards of an official Microsoft partner Partner closely with Client Solutions Managers to ensure a seamless handover from close to campaign execution Maintain client relationships post-close to support long-term account health and future expansion opportunities 🛠 What You Bring to the Table 3+ years of experience in digital advertising, with a strong track record in business development, ad sales, or a closely related commercial function Proven, hands-on experience managing Google Ads and/or Microsoft (Bing) Ads campaigns; agency experience preferred Demonstrated ability to generate new business and consistently deliver against revenue targets Strong understanding of the local advertising ecosystem, including key players and stakeholders Direct experience with paid search advertising, performance advertising, and e-commerce campaign strategy Ability to work independently, manage a structured sales process, and consistently meet or exceed targets Fluency in Polish and English 🎯 How Success Looks You'll know you're excelling when: Clients recognize you as a trusted strategic partner, backed by measurable improvements in campaign performance and business growth You consistently meet or exceed individual revenue targets while contributing to broader team objectives You proactively identify expansion opportunities within your accounts, driving smarter and more efficient campaign strategies You generate new business consistently, closing deals that fuel both client growth and Aleph's market expansion You collaborate effectively across teams, sharing insights and best practices that strengthen outcomes for clients and colleagues alike In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is PLN 120,960 . In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role. 🚀 Ready to Make an Impact? If you’re excited to grow client relationships, drive business results, and shape the future of digital advertising, Aleph is the place to make it happen. Apply today and become part of a team that’s transforming client success locally and globally.   #ALEPH

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In the UK, the compensation range for this role is GBP 103,958 - GBP 124,750 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Spain. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Spain, the compensation range for this role is EUR 94,025 - EUR 112,830 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Ireland. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Ireland, the compensation range for this role is EUR 117,600 - EUR 141,120 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Germany. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Germany, the compensation range for this role is EUR 109,709 - EUR 131,651 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Hong Kong; Dubai, United Arab Emirates; Singapore About Hex Trust Hex Trust is a fully-licensed and regulated financial institution for digital assets. We hold licenses in Dubai (VARA) and Singapore (MAS), are registered in Hong Kong (TCSP), and operate 24/7 from offices in Hong Kong, Singapore, Dubai, and Vietnam. We are an integrated provider of custody, trading, financing, staking, and tokenization services. Our custody platform, Hex Safe, is one of the strongest in the market and serves 600+ institutional clients globally: investors and allocators (VCs, funds, family offices), Web3 companies (foundations, protocols, token issuers), and service providers (wealth managers, OTC desks, brokers, PSPs, corporates, banks).  It stands out as the only platform offering regulated cold wallets with transaction signing under 1 second, compared to an industry average of around 2 hours. As a pioneer in digital asset infrastructure, we are now expanding our ecosystem by strategically entering the payments’ business space.  This expansion marks a pivotal milestone in our growth, aimed at bridging traditional finance with the digital economy through compliant, scalable and instant payment infrastructure. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to originated revenue, paid quarterly. We are looking for a VP / Director Senior Sales for Cross-border Payments Solutions with a strong network across the payments and PSP ecosystem in APAC and the GCC. The ideal candidate has sold payment infrastructure into institutional clients, understands how PSPs and fintechs make integration decisions, and can speak credibly about stablecoins, on/off-ramps, settlement, and APIs. As a Senior Payments specialist, you will help spearhead Hex Trust's strategic expansion, transforming our core enterprise capabilities into cutting-edge merchant solutions and global digital payment networks. This role carries two mandates: Scale our existing Convert-to-Pay business by originating and closing PSP, acquirer, and fintech clients across APAC and the GCC — driving payment volume, recurring revenue, and stickiness from day one. Secure a flagship design partner to co-develop the next generation of programmable stablecoin payment infrastructure — a strategic, build-the-future mandate at the frontier of where payments and digital assets are heading. This is a pure origination role with high autonomy and direct impact on revenue. You will own the commercial cycle end-to-end: prospecting, structuring, closing, integration coordination, and ongoing client coverage. The platform is proven, the licenses are real, and we have the right to win. Duties & Responsibilities Own the full commercial cycle for Convert-to-Pay: prospecting, qualification, structuring, closing, integration coordination, and ongoing client coverage across APAC and the GCC. Identify and win new PSP, acquirer, fintech, and payment-infrastructure clients to grow stablecoin payment volume, recurring revenue, and assets in flow — this is a hunting role. Translate Hex Trust's regulated, API-first stablecoin payment capabilities into commercial wins with senior payments and treasury stakeholders. Identify, qualify, and secure a flagship design partner to co-develop the next generation of programmable stablecoin payment infrastructure — shaping requirements, structuring a co-build relationship, and turning early collaboration into a long-term commercial anchor. This is a core responsibility and a key deliverable for the role. Work closely with product, client operations, compliance, and legal to deliver smooth onboarding and integration. Feed product, marketing, and leadership with market intelligence and client signals that shape the roadmap and our go-to-market. Requirements 7–10 years of institutional or B2B sales / business development experience, with meaningful time in payments. Proven track record of selling payment infrastructure — ideally cross-border, on/off-ramps, acquiring, or stablecoin/digital-asset payment rails — into PSPs, fintechs, or financial institutions. An existing, active network in the PSP and payments ecosystem across APAC and/or the GCC. This is critical; we are not building your network from scratch. Strong working knowledge of stablecoins, settlement, treasury workflows, and payment APIs — you do not need to be an engineer, but you must speak credibly on these topics to technical and commercial audiences alike. Demonstrated ability to run the full sales cycle independently — prospecting through close — in a lean, fast-moving environment, including consultative, product-minded selling and co-creating solutions with early or strategic partners. Strong communication and interpersonal skills, with the ability to explain complex products clearly to senior stakeholders. Fluent English is required. Mandarin (for HK/Singapore) or Arabic (for GCC) is a strong plus. Highly organized and self-driven, comfortable in fast-paced, high-stakes environments. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with an adjustment to the level of seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive base salary plus uncapped, quarterly-paid commission Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Modern tools and technology to do your best work Claude Enterprise access for all employees, with connectivity to all our internal tools and access to Claude Chat, Cowork, and Code Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: - Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. - Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. - Prompt models to complete complex data science tasks and review the accuracy of generated responses. - Label, proofread, and improve machine-written and human-written software engineering-related outputs. - Report quality and performance trends related to model/agent behaviour and project assignments. You may be a good fit if you have: - Exceptional data analysis and visualization skills. - 3+ years of relevant industry experience working on real-world data science problems and pipelines. - Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others). - Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML. - Prior experience re-writing, proofreading, and delivering feedback on code. - Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus. The Candidate Journey: - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If the above qualifications do not perfectly align with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.  As a Mechanical Engineer II on WHOOP’s Continuous Improvement Team, you will play a key role in designing product improvements at scale, sustaining high production yields, ensuring manufacturing stability based on customer feedback and evolving business needs. In this fast-paced, execution-driven environment, you will independently develop creative mechanical solutions while exercising strong technical judgment. You’ll collaborate with cross-functional teams across Electrical, Operations, Manufacturing, Supply Chain, and Quality to bring innovative concepts to life within the flagship product, supporting prototyping, design, and testing. You will also partner closely with global suppliers and contract manufacturers to execute validation builds, with a focus on high-quality deliverables, effective risk management, clear communication, and product excellence. This is a great opportunity for an engineer with a solid technical foundation to grow their skills in a dynamic, fast-paced environment impacting millions of members around the world. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Own critical parts of current generation Whoop Hardware Products - Design, prototype, and test complex mechanical components around microelectronics, meeting stringent technical, performance, and industrial design requirements to guide projects from concept through manufacturing release - Develop and present multiple design solutions for novel and complex technical challenges, articulating them clearly to cross-functional teams and documenting design process and specifications thoroughly - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering requests and conduct DfM reviews to vendors and contract manufacturers as the product development cycle progresses - Own and drive second sourcing initiatives for mechanical components and assemblies to diversify the supply base and reduce manufacturing risk - Support planning and execution of verification and validation plans, leveraging design of experiments (DOE) methodologies to drive understanding, uncover insights, and deliver actionable results that enhance product quality, performance, and manufacturability - Perform root-cause analysis and implement design improvements for quality, reliability, and performance enhancements - Collaborate with senior engineers to evaluate new technologies and manufacturing methods -  Up to 20% travel to contract manufacturers and suppliers internationally QUALIFICATIONS: - Bachelor’s degree in Mechanical Engineering or related field - 3+ years of experience in the design of complex mechanical products, preferably for consumer electronics, wearables, or medical devices - Experience with SolidWorks CAD best practices, including advanced assemblies, tolerance analysis, configuration management, and applying DFx/DfM feedback - Familiarity with second sourcing, supplier qualification, and risk mitigation strategies in manufacturing - Hands-on experience in operating and maintaining rapid prototyping tools to craft proof-of-concept models - Strong communication skills and comfort working with cross-functional teams and external partners - Experience in high-quality consumer electronics or wearable technologies preferred - Familiarity with validation testing methods and statistical analysis tools preferred - Experience with high-volume manufacturing processes (e.g., plastic injection molding, sheet metal design, metal injection molding), manual assembly, and complex testing fixture design preferred - Working experience in a fast-paced or startup environment preferred - A passion for health, or wearable technologies; and designing human-centered solutions in this space  This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify  https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000-$150,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.