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Location: Paris Workplace: Hybrid 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 The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games. We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide. ROLE We’re looking for a Senior Data Analyst to join our Engineering & Data team. The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Design, build and monitor data models & dashboards to track business metrics - Work with cross-functional teams to identify key business needs and solve them using adequate statistical models - Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights. - Establish data quality processes to ensure the reliability and accuracy of our machine learning models. - Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support. - Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment. - Work closely with the central data team to source additional data and enhance data management practices PROFILE - At least 4 years' experience in Data Analysis - Proficient with SQL and/or Python, with a proven experience working with large and complex data sets. - Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail. - Experience with statistical modeling & predictive analytics - Excellent verbal & written communication abilities - Experience building dashboards with Tableau. - Experience in gaming industry or mobile marketing is a plus - Any personal or professional experience with machine learning will be valued OUR STACK SQL; Python; DBT; AWS; Tableau BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer on Twilio’s platform engineering observability team. About the job This position is needed to help our platform engineering observability team. Twilio is undergoing a large-scale observability transformation—and you can help shape the foundation. Observability is a strategic pillar and a key enabler for faster incident response, deeper customer-centric insights, and more cost-effective platform operations. As a Software Engineer on the Platform Observability team, you’ll play a critical role in re-architecting how telemetry flows and is utilized through Twilio—making it structured, accessible, affordable, and actionable. Over the next 3 years, Twilio is rebuilding nearly every component of our observability platform, from data collection to real-time analytics. You will drive core initiatives that shift Twilio from fragmented tooling and wasteful data sprawl to a unified, OpenTelemetry-first observability stack built for scale. You’ll lead technically and strategically—designing platform components, influencing org-wide architectural decisions, mentoring engineers, and engaging directly with teams across Platform Engineering and R&D Responsibilities In this role, you’ll: Lead the end-to-end architecture and delivery of key observability platform components, with a focus on reliability, scalability, and usability. Drive consistency and quality across all observability signals—logs, metrics, traces, and continuous profiling—building intuitive workflows for engineers. Serve as a technical advisor and mentor across the platform org, guiding design decisions and aligning cross-team efforts with long-term architectural goals. Go deep in one or more problem areas (e.g., high-cardinality telemetry, distributed tracing correlation, compute cost insights), while ensuring the platform scales horizontally. Collaborate with product teams, SREs, and developer experience groups to deeply understand telemetry needs and integrate observability into core engineering workflows. Design and build developer-friendly tooling and APIs to support incident response, performance analysis, and platform debugging at scale. Leverage (and optionally contribute to) open-source standards like OpenTelemetry to ensure interoperability and extensibility. Champion a pragmatic approach to observability—balancing performance, cost, and user value across diverse engineering teams. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Proven expertise in building and scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools). Lead technical execution for major components of Twilio’s observability overhaul, including our shift to centralized S3-based data lakes, OpenTelemetry instrumentation, and ClickHouse-backed query engines. Proficiency in at least one modern programming language (e.g., Go, Python, Java). Familiarity with high-cardinality data challenges and telemetry correlation techniques. Experience designing high-scale telemetry systems (e.g., Prometheus, ClickHouse, OpenTelemetry, Kafka, or equivalent). Solid understanding of distributed systems and the challenges of observability in complex, microservice-based environments. Experience with AWS, Kubernetes, and infrastructure-as-code tools. Provide architectural guidance and thought leadership across teams, helping to establish clear telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking technical decisions and lead others through ambiguity and chan Desired: Familiarity with ClickHouse, Grafana Mimir, Athena, or equivalent systems for log and metrics querying. Contributions to open-source observability tools or communities. Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines. Location This role will be remote from Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York City Workplace: Hybrid About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: US Remote Workplace: Remote About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: Remote (Global); Brooklyn, NY Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. About the Role Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. We are looking for a Staff Engineer to join our Platform Engineering Group. This team is responsible for maintaining and advancing the Avalanche blockchain and its ecosystem. Ava Labs is hiring a Staff Engineer into the Platform Engineering Group to serve as a full-time maintainer of AvalancheGo and the technical anchor for the node domain: consensus, peer-to-peer networking, state sync, the VM plugin interface, and the node's integration with the C-Chain EVM (coreth and libevm). This is a hands-on role that requires an Architect/Solver build, with tech lead responsibilities during coordinated network upgrades. You will own the health of the codebase, set the technical direction of the domain across the teams that build on it, and multiply the effectiveness of the engineers around you. What You Will Do - Own AvalancheGo as its maintainer: Maintain and advance the software powering the Avalanche network, as well as its environments. Manage contributions from both the team and the community in a fair, effective, and thoughtful manner. You hold the merge bar for network-critical code; assess contributions from the team and the community fairly and quickly, and steward backwards compatibility for the node operators and Avalanche L1 builders downstream of every release. Your review will be the last gate before code reaches every validator. - Set and enforce engineering standards. Define what production quality means for the team. - Design, build, and advance Avalanche’s critical systems. You’ll be contributing directly to the critical systems in the Avalanche network: consensus, networking (P2P), state management and sync, the VM interface, and performance of both the network nodes and their EVM integrations. - Champion reliability and production readiness. Establish observability standards (structured logging, metrics, tracing, profiling), define SLOs for node performance, and lead incident review and postmortem culture for network incidents. - Raise and define release quality. Own the engineering lifecycle for network-critical code: versioning and upgrade coordination, backward compatibility, staged rollouts across test networks, and hard test quality metrics (unit, property, fuzz, race-detection, and end-to-end network tests) before anything ships. - Mentorship. Mentor senior engineers into larger scope, run design reviews that measurably change outcomes, and spread your context deliberately so the team can onboard, operate, and extend the node without you.Turn a team of individual contributors into a team with shared standards, shared context, and a high quality ceiling. Becoming a single point of failure is a failure mode of this role, and you will be expected to resist it. - Evangelize the project within the org: Write ADRs, release notes, and technical communications; engage external contributors; and model what a great open source citizen looks like. - Drive protocol direction through the ACP process. You originate and champion Avalanche Community Proposals, represent the node's constraints in protocol design conversations, and position AvalancheGo for upgrades before they activate on Fuji and Mainnet. Your bets play out over 6 to 18 months. What Makes You a Good Fit - A self-starter with insatiable curiosity combined with being comfortable diving into someone else’s code to understand how it works. You treat the code as the source of truth and are able to discern nuances from there. - Meticulous attention to detail and an appreciation for clean, maintainable code. You create software as much for the end user as for the love of the craft. - You believe in growing a culture of excellence. As a Staff Engineer you will set the definition for development standards among your team, as well as cultivating the quality you want to see in the developers you work with. - You understand what makes a great open source project great. Not just in terms of code quality, but in terms of its ecosystem, its community, and its contributors - You have operated at Staff scope before, irrespective of whatever your title said. You can point to a workstream you created rather than inherited, one that other teams came to depend on, and to the case you built to get it funded. - You influence without authority. You have driven technical direction across teams that did not report to you, through alignment and credibility rather than escalation, and engineers from those teams would vouch for it. - You treat the code as the source of truth. You are comfortable diving into a large unfamiliar codebase, discerning its nuances from the source, and making impactful contributions within weeks. - You know what makes a great open source project great: the code quality, and equally the review culture, the contributor experience, and the trust of the ecosystem that depends on it. You have been on the maintainer side of that relationship. - You hold a high bar and make it stick. You have set standards that other engineers actually follow, pushed back when work below the bar tried to land, and done it in a way that made people want to work with you rather than around you. - You still do the unglamorous work visibly. Reviews, on-call, migrations, and documentation remain part of the job at this level, and you treat them as the job rather than a distraction from it. This Role Is Not for You If - You want to write smart contracts or build dapps. This is node and protocol engineering, several layers down. - You want a purely advisory position. - You consider reviews, on-call, migrations, and documentation to be beneath the level. They remain part of the job, done visibly. - You are uncomfortable working in public. Your code, your reviews, your design docs, and occasionally your mistakes will be visible to the entire ecosystem. What You Will Bring - 8+ years of software engineering experience, including 3+ years operating at a staff/lead level (or clearly performing at that scope), with a track record of raising team-wide engineering quality. - Expert-level Go: deep fluency with the concurrency model (goroutines, channels, the race detector), profiling and performance tuning (pprof, benchmarks), module and dependency management, and idiomatic API design in large codebases. - Significant open source experience - maintainer or sustained core contributor on a widely used project, with a public record of reviews, RFCs/design docs, and community engagement (a GitHub profile we can read is worth more than any bullet on a resume). - Proven production experience designing, shipping, and operating distributed systems at scale: consensus or replication, P2P networking, state synchronization, or comparable high-availability systems. - Strong testing discipline across the pyramid: unit, property-based/fuzz, integration, and end-to-end network testing, plus experience building CI that enforces it (GitHub Actions preferred). - Experience with release engineering for software users self-host and cannot be force-upgraded: semantic versioning, backward compatibility, migration paths, and coordinated network upgrades. - Working fluency with Linux-based infrastructure, containerization (Docker/Kubernetes), and observability tooling (Prometheus/Grafana or equivalent). - BS in Computer Science or related field, or equivalent demonstrated experience. (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: Seoul, South Korea Workplace: onsite ABOUT YOU We are looking for a Regional Product Expert to supports Sales, Product, Product Marketing, and Partners across Xsolla’s monetization products. This role drives growth by enabling effective sales execution, supporting complex deals, and ensuring product readiness at the regional level. Acting as the “local voice” of the Monetization organization, the expert gathers market insights and partner feedback to inform global product and strategy decisions for Xsolla’s PC and mobile offerings.   This role will be based out of our Seoul office and is onsite.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Partner with the regional Sales team to ensure product knowledge, positioning, and value articulation are effectively communicated in all customer interactions. Partnering with Product Marketing: Deliver localized enablement sessions, playbooks, and deal-support resources aligned with the global sales enablement strategy. Support go-to-market readiness for new product launches and updates, ensuring local alignment with global product narratives. Maintain awareness of regional competitive offerings and tailor enablement materials to local market needs. Collaborate with Sales and Product Growth Support leadership to identify and accelerate high-impact opportunities. Provide tactical deal support by aligning customer requirements with product capabilities and value propositions. Serve as a trusted advisor in deal strategy discussions, helping teams overcome objections and optimize monetization outcomes. Coordinate with Product and Engineering when unique partner requests or technical blockers arise. Monitor and report on product adoption, deal velocity, and partner engagement within the region. Coordinate with the Sales Team to ensure data accuracy within Salesforce and related systems to ensure visibility into pipeline health and performance metrics. Share recurring insights on regional trends, customer needs, and emerging opportunities with Product Growth Support leadership. Contribute to business reviews with structured data and qualitative feedback to guide prioritization and resource allocation. Act as a liaison between regional field teams and Product leadership to communicate partner feedback and product improvement opportunities. Participate in structured feedback loops to ensure that customer use cases and regional needs inform roadmap planning. Support documentation of use cases, blockers, and success stories to help refine global product strategy. Collaborate with Product Marketing on refining messaging and positioning for regional relevance. Adopt and maintain best practices in tools and workflows (Salesforce, Jira, internal dashboards, AI-driven analytics). Ensure consistent communication and coordination with counterparts in other regions to promote global alignment. Contribute to process improvements and tool optimization that enhance deal efficiency and data visibility. Participate in global readiness meetings and feedback sessions to share learnings and standardize execution. Stay informed on local industry trends, competitor activities, and partner sentiment to anticipate changes in market dynamics. Represent Xsolla’s monetization products in customer and partner discussions, trade shows, or industry events within the region. Provide qualitative intelligence to leadership to support market-entry decisions, product prioritization, and pricing strategies. Qualifications and Skills Experience as a Product Owner, Product Manager, Technical Account Manager, Presales/Solutions Engineer, or similar role that combines sales pipeline exposure with technical or product fluency, 5+ years Experience designing or delivering enablement/training materials for sales or non-technical audiences Ability to synthesize qualitative partner/market feedback into structured insights for global stakeholders" Experience in the PC and mobile gaming industry (development, publishing or platforms) Understanding of monetization models in the local market including Subscriptions and LiveOps Awareness of D2C cases: Web Shops, external top-ups, in-game campaigns Experience interacting with B2B clients and/or publishers Native-level Korean proficiency required for client communication, stakeholder management, and business documentation.. Strong English proficiency required for collaboration with global teams and international stakeholders Bonus Points Work experience in an international company Experience in bringing a global product to the Japanese market Comfort working with CRM/reporting tools (Salesforce or similar) and interpreting sales/product data Understanding of legislation regarding advertising, gacha, children and online payments The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, statutory pension contribution and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Treatment Statement: Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.  For the Regional Product Expert, we will request a background check Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the GDPR: Applicants are encouraged to inquire about their rights under the GDPR. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Pakistan; Philippines; Mexico; Colombia; South Africa; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We're looking for a detail-oriented QA Engineer to join one of our growing client teams. This is an excellent opportunity for someone passionate about software quality, testing best practices, and delivering exceptional user experiences. You'll work closely with developers, product managers, and designers to ensure applications meet the highest standards before release. Whether you specialize in manual testing, automated testing, or both, you'll play a key role in identifying issues, improving product reliability, and helping build software that customers love. Key Responsibilities Design, execute, and maintain comprehensive test plans and test cases. Perform manual functional, regression, integration, exploratory, and user acceptance testing. Develop and maintain automated test scripts where applicable. Identify, document, prioritize, and track software defects. Work closely with software engineers to reproduce and resolve bugs. Participate in sprint planning, backlog grooming, and release planning. Validate new features, enhancements, and bug fixes before deployment. Perform API testing and verify backend functionality. Test web, mobile, and cloud-based applications across multiple browsers and devices. Collaborate with product and engineering teams to improve overall software quality. Contribute to continuous improvement of QA processes, documentation, and testing standards. Monitor application performance and usability during testing. Support production releases and perform post-release validation. Requirements 2+ years of experience in Software Quality Assurance (QA) or Software Testing. Strong understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies. Experience performing both manual and automated testing across web, mobile, or SaaS applications. Proficiency with QA and testing tools such as Selenium, Cypress, Playwright, Appium, Postman, Swagger, JMeter, TestRail, Zephyr, Xray, Jira, Azure DevOps, Git, GitHub, GitLab, Jenkins, GitHub Actions, Docker, BrowserStack, and similar industry-standard platforms. Familiarity with programming or scripting languages such as JavaScript, TypeScript, Java, Python, C#, or SQL. Experience testing APIs, databases, cross-browser functionality, performance, and cloud-based applications using modern QA tools and frameworks. Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional engineering and product teams. Comfortable working independently in a fully remote, fast-paced environment. Nice to have: experience testing SaaS or mobile applications (iOS/Android), accessibility (WCAG), security or penetration testing, AI-assisted testing tools, distributed remote teams, and an ISTQB certification. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Location: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next.   ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You will thrive in this role if you: - See research and engineering as two sides of the same coin and enjoy owning work end-to-end. - Are results-oriented, flexible, and willing to pick up whatever moves the needle. - Like collaborating closely with infra, data, and product to ship measurable improvements. - Enjoy designing experiments, listening tests, and metrics that correlate with user-perceived quality. - Eager to learn every-day, find and solve unique large-scale problems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.   WHAT YOU’LL BRING: - Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data). - Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation. - Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders latent/tokenizer design, reconstruction and perceptual objectives, adversarial training. - Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent). - Strong software engineering skills with a proven track record of building complex systems. - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code. - Shipped large-scale speech/audio or multimodal generative models to production. - Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals. - Experience with voice cloning, speech control/steerability, or expressive speech generation. - Notable publications and/or open-source contributions in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Production Specialist, you'll own the day-to-day operation of the event technology behind how Anthropic communicates — the all-hands, the executive presentations, the live broadcasts. You are the owner of these productions: accountable for their technical outcome from the moment a request arrives through to the follow-up after the room clears, and the technical partner our executives, events team, and communications partners rely on to make them land. This is an operations role with engineering depth behind it. You'll work across the same technology stack as our broadcast engineering practice with your center of gravity in execution and service. You'll keep our event spaces in a state of readiness through preventative maintenance, and be the calm, capable presence that executives, comms partners, and event producers learn to trust. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Live Event Production & Run-of-Show Own the technical execution of live and hybrid events, from small executive presentations to company-wide all-hands broadcasts reaching thousands of participants Serve as technical director for live productions across the full range, up to and including executive presentations and company-wide broadcasts Operate production systems during live events including video switchers, audio consoles, camera systems, playback, and streaming encoders Build and run the technical run-of-show: cue sheets, source lists, rehearsal schedules, and backup plans Direct contractors and onsite technicians during productions, delegating clearly under time pressure Troubleshoot and escalate complex production issues with clear diagnostic context Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language Handle confidentiality and access requirements for sensitive sessions, including recording and streaming controls Event Intake, Scoping & Scheduling Own the event technology intake process end-to-end: request triage, technical scoping conversations, and staffing Right-size production approach to event type, translating stakeholder goals into an equipment and staffing plan that fits the constraints and scope of our team’s SLA Take on genuinely novel events and leave a repeatable standard behind — a template, runbook, or gear list that makes the next one easier than the first and repeatable by the team Maintain the event technology calendar and coordinate coverage across the AV Operations team Partner with Events, Internal Communications, and Workplace teams on lead times, expectations, and readiness Support Operations & Room Health Execute preventative maintenance programs and recurring room sweeps across event spaces and conference rooms Maintain and test inventory of equipment including wireless microphones, cameras, and portable production gear pre event, following event production framework Contribute to runbooks, standard operating procedures, and knowledge base documentation Surface recurring operational pain points to AV Engineering as candidates for systemic fixes You May Be a Good Fit If You: Have 8+ years of hands-on experience in AV operations, live event production, or technical event support Have owned the technical side of live productions end-to-end — not just operated a single position Bring working fluency across event audio, video, camera, and streaming systems, with enough depth to diagnose problems rather than only report them Are energized rather than drained by being the front-facing technical partner to executives and event producers Bring structure to ambiguity by building systems for repeatable events Strong Candidates May Also Have: Technical direction for corporate broadcasts, conferences, or multi-camera productions Q-SYS DSP platform, including reading and reasoning about existing audio/video routing and control designs PTZ and professional camera systems, camera control units, and multi-camera workflows Video conferencing platforms and hardware including Google Meet, Zoom Rooms, and hybrid meeting technologies Live streaming workflows including encoders and encoding settings, contribution and delivery protocols (RTMP, SRT, HLS) Network fundamentals for AV-over-IP including multicast, VLANs, QoS, and bandwidth management Ticketing and workflow systems such as Jira, and building intake or request workflows within them Coordinating AV contractors, integrators, and labor for event coverage Role Specific Location Policy: This role will be based in our San Francisco HQ This role is expected to be in office 5 days per week Occasional evening and early-morning coverage is expected around major events 4-6 weeks of travel annually will be expected for this role for distributed event support as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As Marketing Counsel, you will be an essential legal partner to OnePay’s fast-growing marketing organization — turning ambitious, creative go-to-market ideas into launches that are compliant, ddefensible, and fast. This role will impact OnePay’s vision by providing the legal foundation for a marketing function that is a sophisticated, high-velocity engine for growth and brand awareness. You will be the go-to counsel across a wide range of subject matters, advising the business in real time while partnering with legal teammates to draft and negotiate the agreements that make marketing run. You will work closely with the Marketing, Brand and Design, Paid Media, and Product teams. It is well-suited for a strategic legal operator who thrives in a fast-paced, collaborative environment and can navigate intensity, ambiguity, and imperfect processes with steady judgment. This role is responsible for - Advising across the marketing lifecycle. Serve as the primary legal partner to marketing, brand, design, paid media, and product teams, providing practical, real-time counsel that keeps creative and campaigns moving. - Ad tech, privacy, and consumer data. Guide the responsible use of advertising technology, tracking, and consumer data — advising on the state privacy law patchwork (CCPA/CPRA and beyond), PII, targeting, and required disclosures across the ad stack. - Social media, creators, and influencers. Structure and paper creator, influencer, and brand-collaboration relationships, advising on FTC endorsement and disclosure rules, usage and content rights, and platform terms. - Rewards, sweepstakes, contests, and promotions. Design and review rewards programs, sweepstakes, contests, and promotions, including official rules, registration and bonding, and multi-state regulatory compliance. - Affiliate marketing. Advise on and paper affiliate and partner-marketing programs, including disclosures, tracking, and payout structures. - Production and content development. Support production and content development end to end — talent and releases, music and licensing, rights clearances, and production and vendor agreements. - Claim development. Partner with marketing and product on claim development — substantiation, puffery, comparative claims, and disclaimers — to keep messaging both compelling and defensible. - Scaling with AI and better systems. Bring hands-on fluency with AI tools to accelerate contract review, marketing review workflows, knowledge management, and issue-spotting, while maintaining appropriate controls and confidentiality. Build lightweight, stage-appropriate processes and self-serve guidance that let marketing move fast and stay compliant as volume and complexity grow. - Additional duties as assigned by your manager. You bring - J.D. and active membership in good standing with a U.S. state bar. - 8+ years of legal experience, including at a leading law firm and/or in-house, with at least 6 years focused on marketing, advertising, and/or ad tech law. - Deep, hands-on command of the marketing-legal landscape: advertising and consumer-protection law (FTC Act, UDAAP), promotions and sweepstakes, endorsement and influencer rules, affiliate marketing, and advertising-related privacy (CCPA/CPRA, the state privacy patchwork, PII, and ad tech/tracking). - A demonstrated history of working directly with C-suite and other executive leadership — influencing decisions, earning trust, and communicating clearly at the highest levels. - Strong drafting and negotiation skills across agency, vendor, talent, and marketing-partnership agreements, with a strong eye for detail. - AI-forward: proficient with AI tooling and genuinely excited to use it thoughtfully to improve the team’s velocity and quality. - An act-like-an-owner mentality. We have a bias toward taking action. - A practical, business-first mindset with the ability to weigh legal risk in the context of product, brand, and commercial realities, and to drive toward creative, business-oriented results in a fast-paced, high-pressure environment. - Clear, concise communication across creative, technical, and non-legal audiences, with the ability to influence decision-making at multiple levels. - Intellectually curious, comfortable with ambiguity and risk, and energized by dynamic change. Low ego, high ownership, and strong collaborative instincts — no task is too big or too small. Preferred - Prior tech, fintech, or financial services experience, and familiarity with marketing in a regulated industry. - In-house experience at a high-growth consumer brand or platform. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - Canada; Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer, L3. About the job The Compliance Experiences team sits at the heart of the Twilio platform, owning two critical domains: Phone Numbers and Compliance (KYC). In 2026, "getting a phone number" is no longer a simple API call; it requires sophisticated orchestration across global phone number inventory, real-time identity verification, regulatory compliance, and operational tooling at massive scale. Twilio’s KYC Platform, the gateway to accessing all of Twilio’s communication APIs, enables customers to securely provision and operate communication services globally while navigating complex, constantly evolving regulatory requirements. As a Software Engineer (L3), you will be a key technical contributor driving the feature design, execution, and operational health of platform services that process millions of requests. You will build scalable, high-performance solutions while working closely with engineering partners across Twilio to ensure alignment. You will own end-to-end feature delivery, author technical specs, and build robust APIs, microservices, and tooling relied on by cross-functional stakeholders. You will embrace AI-driven development workflows, using LLMs and agentic tools to accelerate code generation, expand automated test coverage, and translate complex business and regulatory requirements into executable logic. Your mission is to turn technical designs and blueprints into reliable, production-grade features. Responsibilities In this role, you’ll: DRAW THE OWL: Contribute significantly to the technical design and roadmap for core platform components, authoring technical specifications and driving execution to transition legacy systems into modern, scalable cloud-native microservices. ACCELERATE WITH AI: Actively leverage AI coding assistants (GitHub Copilot, Anthropic Claude, or internal LLMs) to automate boilerplate, generate comprehensive test suites, and rapidly prototype solutions. Set an example within the team for amplifying individual velocity while maintaining high standards of code quality and safety guardrails. BE AN OWNER: Drive technical excellence and end-to-end component ownership within your team, making sound technical decisions that balance rapid feature delivery with system reliability, security, and technical debt reduction. WEAR THE CUSTOMER’S SHOES: Partner with Product Managers and cross-functional stakeholders to translate customer needs and regulatory requirements into precise technical specifications, developer-first APIs, and seamless application workflows. EMPOWER OTHERS: Mentor and uplift junior engineers (L1–L2), onboard new team members, and foster a collaborative environment through constructive code reviews, tech talks, and technical guidance. RUTHLESSLY PRIORITIZE: Proactively identify and resolve technical risks, performance bottlenecks, and security vulnerabilities within team services. Fully own on-call responsibilities, driving incident resolution and following through with durable root-cause remediation. WRITE IT DOWN: Articulate technical designs, system trade-offs, and operational runbooks clearly to your team and cross-functional partners through high-quality design documents, RFCs, and thorough documentation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native enterprise distributed systems. Strong Proficiency in Java or Go, with solid knowledge of AWS ecosystems (Lambda, EKS, DynamoDB, Kafka). Cloud-Native Architecture: Hands-on experience with cloud-native infrastructure (AWS preferred), microservices patterns, and building highly resilient systems. AI-Augmented Development: Practical experience using AI tools (e.g., Copilot, Claude, Cursor) to accelerate software delivery. You should be comfortable discussing how you use LLMs for debugging, code synthesis, and prototyping. API Design: Experience building and maintaining high-volume public-facing APIs with a focus on developer experience. Data Proficiency: Experience with high-throughput data processing and storage solutions (SQL/NoSQL, Redis, Kafka, or Spark). Infrastructure as Code: Familiarity with Kubernetes, Terraform, and modern CI/CD paradigms. Collaboration & Influence: Demonstrated ability to influence technical decisions within your team through strong communication and technical credibility. Desired: Platform Thinking: Experience building "internal platforms" that enable other developer teams to move faster. Agentic Systems: Experience building or integrating AI agents into internal developer platforms or automated ops workflows. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. This role will be remote and eligible to be hired in Ontario, British Columbia & Alberta. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role in USA are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 - $176,900.00. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00. Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The estimated pay ranges in Canada for this role are as follows: Base Salary : CAD 132,640.00 - 165,800.00 Bonus : 12.5% Application deadline information Applications for this role are intended to be accepted until 30 November, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Engineering (L2) About the job This position is an engineering role within Twilio Platform Engineering, suited to an engineer who is building hands-on experience with highly available, large-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L2 engineer, you will help build and operate backend services at scale, working alongside more senior engineers on our dual-cloud infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. You'll get hands-on with Kubernetes, contribute to Terraform-based infrastructure automation, and write production code to help keep distributed systems healthy under real production load, using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate services and automations that support Kubernetes clusters at scale, under the guidance of senior engineers. Work with product management and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns and testing standards (unit and integration testing) across the team and platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support cloud configurations across AWS and Azure environments using Infrastructure as Code (Terraform). Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of clean architectural practices. Flag technical debt, bugs, and small-scale system issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 1-2+ years of professional software engineering experience, including some exposure to building or operating backend services using Kubernetes. Familiarity with basic Kubernetes operations (deployments, pods, services) is expected; deep production-scale cluster-upgrade experience is not required. Modern Development Workflow: Practical experience with, or strong desire to learn, AI-assisted development tools (e.g., Claude Code) to help write code, automate testing, and support debugging workflows. Deployment Orchestration: Some exposure to GitOps workflows (e.g., ArgoCD) and CI/CD pipelines (e.g., Harness or an equivalent platform); willingness to learn our specific tooling on the job. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Cloud Infrastructure: Some experience with cloud environments, ideally basic exposure to AWS core services (such as EC2, S3, EKS) or their Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, AKS). General familiarity with networking concepts (VPC/VNet basics) is a plus. Infrastructure as Code: Basic familiarity with Terraform or similar IaC tools. Distributed Systems: Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming (e.g., Kafka or similar queuing systems), through coursework, projects, or professional experience. Systems Mindset: Solid computer science fundamentals and data structures knowledge, with an eagerness to learn how to build self-healing cloud architectures. Desired: Some exposure to containerized infrastructure (Docker, Kubernetes) in coursework, internships, or professional projects. Curiosity about advanced deployment strategies (canary, blue/green); prior hands-on experience not required. Interest in policy-as-code tools such as OPA/Gatekeeper. Interest in OpenTelemetry or distributed tracing concepts. Any exposure to network topology, proxy layers, or mail transfer agent (MTA) protocols. Coursework or personal projects involving distributed datastores, caching, or event streaming (e.g., Kafka). Interest in multi-cloud environments and a desire to build that experience over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. $116,960.00 to $146,200.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results - Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity - Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards - Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org - Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You - Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth - Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete - Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling - Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product - Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment - Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance - Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question - Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs - Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation - Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves - Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes - Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation - Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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. _______________________________________________________________________ The Senior Product & Commercial Counsel will report to Docker's Head of Legal. This is a hybrid role at the intersection of product counseling and commercial negotiation. You will serve as the primary legal partner to Docker's Product Management and Engineering teams across the full product lifecycle, from concept and design through launch, monetization, and end of life, while also assisting with negotiating the commercial provisions that bring those products to market. Your subject matter depth in open source software licensing and cloud services will directly impact how Docker builds, licenses, and delivers its products to millions of developers and thousands of enterprise customers worldwide. Your work will be instrumental in helping the Company reach its growth objectives while protecting its intellectual property and managing product and licensing risk. This position will be a core member of the extended Legal team, working cross-functionally with Product, Engineering, GRC, Sales, and Deal Desk, with exposure to Docker's senior executives and the opportunity to grow beyond the initial responsibilities and role based on expanding company needs. RESPONSIBILITIES: - Primary function will be to serve as embedded product counsel to Docker's Product Managers and Engineering teams, providing pragmatic, business-oriented advice on new products, features, pricing and packaging changes, Early Access and beta programs, and end-of-life decisions. - Advise on open source software matters, including license analysis and compatibility (Apache, MIT, BSD, GPL, LGPL, AGPL, and source-available licenses), inbound and outbound OSS usage, contribution and CLA policies, and compliance obligations across Docker's products and distribution channels. - Secondary function as needed, draft and maintain Docker's product-facing legal terms, including service-specific terms, subscription and licensing agreements, Early Access and beta terms, fair use and acceptable use policies, and documentation supporting new monetization models. - Structure and negotiate commercial provisions in customer and partner agreements relating to product licensing, cloud services, hybrid on-premise and SaaS deployments, IP ownership, indemnification, warranties, and support commitments, in partnership with Sales and Deal Desk. - Counsel on AI-enabled product features, including training data provenance, output ownership, third-party model licensing, and evolving AI regulatory requirements. - Collaborate with GRC on the intersection of product design and regulatory obligations, including software supply chain security expectations and emerging regimes such as the EU Cyber Resilience Act. - Support IP strategy, including trademark usage guidelines, brand protection in product and marketing contexts, and coordination with outside counsel on IP matters. - Monitor and analyze legal and regulatory developments affecting developer tools, open source, cloud services, and AI, advising the organization on necessary updates and adjustments. - Help build scalable playbooks, templates, and self-service resources that allow Product and GTM teams to move quickly within well-defined guardrails. QUALIFICATIONS: - J.D. from an accredited law school and active membership in good standing in at least one U.S. state bar. - 6+ years of relevant legal experience, with a meaningful portion in-house at a software, cloud, or developer tools company; a combination of law firm and in-house experience is ideal. - Deep familiarity with open source software licensing, including copyleft and permissive license regimes, license compatibility analysis, and OSS program governance. - Hands-on experience drafting and negotiating SaaS, software licensing, and cloud services agreements, including enterprise customer negotiations of IP, indemnity, and liability provisions. - Working technical fluency with developer software concepts such as virtual containers, registries, CI/CD, APIs, and software supply chain security; direct familiarity with Docker's products or comparable developer platforms is a strong plus. - Understanding of AI and LLM legal issues, including model licensing, training data, and applicable regulatory frameworks such as the EU AI Act. - AI-Native work capability. - Excellent written and verbal communication skills, with the ability to translate complex legal concepts into clear, actionable guidance for Product Managers and Engineers. - Sound, risk-calibrated judgment and a bias toward practical solutions that enable the business. - Proven ability to work effectively in a fast-paced, deadline-driven environment and to manage competing priorities independently. - Ability to collaborate with diverse teams and build strong working relationships. WHAT TO EXPECT FIRST 30 DAYS - Meet with the Head of Legal to understand Docker's product, licensing, and IP vision. - Read Docker's product terms, subscription agreements, and OSS policies. - Read Docker's Legal, Products, and security-related Notion pages. - Become familiar with Docker's product portfolio, licensing models, and distribution channels. - Forge relationships with Docker's Product Management, Engineering, GRC, Deal Desk, and Sales teams. - Begin reviewing product feature launches and customer requests for product-related commercial terms. FIRST 90 DAYS - Take ownership of the legal review process for new product and feature launches. - Establish a formalized intake and review cadence with Product Management for roadmap items with legal implications. - Deliver a fact and data driven assessment of Docker's product terms and OSS compliance posture with a 6 month and 12 month improvement roadmap. - Lead the negotiation of product and licensing provisions in active customer and partner deals as assigned by the Head of Legal. - Collaborate with Docker counsel on customer contractual requests relating to licensing, IP, and cloud services and provide feedback. - Become familiar with Docker's Compliance program and controls. FIRST YEAR - You have maintained an appropriate meeting cadence with Docker's Product Management, Engineering, GRC, Deal Desk, and Sales teams. - You have provided a monthly update report to the Head of Legal for eStaff updates. - You have built and deployed playbooks and templates that streamline product legal review and commercial negotiations to meet the demands of domestic and international growth. - You have built the brand of the product legal function as a trusted partner, industry leader, and facilitator of Docker's growth and customer satisfaction. Docker does not offer visa sponsorship for this role.   Compensation & Equity United States: $178,500– $255,000 + 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

Задачи: - самостоятельно дорабатывать функционал платформы на Java (21); - тестировать новый функционал; - анализировать ТЗ и согласовывать планы выполнения работ для текущих задач; - локализовывать дефекты, расследовать инциденты и повышать качество программного продукта. Требования: - опыт работы бэкенд-разработчиком - от 3-х лет; - опыт работы с системами управления версиями GIT; - опыт коммерческой разработки; - опыт разработки решений в монолитной и микросервисных архитектурах; - опыт работы с реляционными БД и SQL; - опыт работы с REST/API и Kafka; - опыт работы с OAuth; - базовые знания и опыт работы с CI/CD на уровне понимания и небольшой донастройки пайплайнов; - проактивность при выполнении рабочих обязанностей; - развитые коммуникационные навыки. Желательные требования: - базовые навыки работы в Linux; - умение работать с системами логирования и мониторинга, Distributed tracing; - опыт работы с Gitlab.

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you. About Customer.io Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What we value Ownership. You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy. Leaders who can do both. You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both. A drive to execute through resistance. Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses. An AI-first mindset. AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates. A healthy skepticism for "the way things are done." You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn. What you'll do Care deeply about our customers and their outcomes Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and ship in small, observable increments rather than waiting for a release window Make confident decisions when the path isn't obvious, and lead your team through them Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports Participate in an on-call rotation as required, supporting the reliability of the systems you build Hire, onboard, and manage performance so the right people are in place to hit your squad's goals Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day What we're looking for 3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds Experience building high-performing, inclusive, and collaborative teams Clear, concise, and direct communication, both verbal and written Compensation & Benefits We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Recruiter Call (30 mins) - Let's chat about what you're looking for, your leadership style, and how we work. Hiring Manager Interview (60 mins) - Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations. People Partner Interview (30 mins) - Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner. Technical Interview (60 mins) - Engage in a collaborative system design conversation focused on scaling challenges. Take-Home Assignment - Submit a short written retrospective on a project you’ve led as an Engineering Manager. Retrospective Review Call (60 mins) - We’ll use your written submission as the foundation for a deeper conversation. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland Workplace: remote At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets . The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation. Key Responsibilities Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure. Build and manage end-to-end machine learning training pipelines. Prepare, clean, structure, and process large volumes of real-world data. Select appropriate models, frameworks, tools, and training approaches based on project requirements. Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning. Monitor model performance and improve accuracy, speed, scalability, and resource utilisation. Work with structured, unstructured, time-series, telemetry, log, and streaming data. Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process. Collaborate with engineering, data, and business teams to move models from experimentation into production. Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines. Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role. Strong hands-on experience training or fine-tuning LLMs and/or SLMs. Practical experience using GPUs for AI model training. Strong Python programming skills. Experience with machine learning and deep-learning frameworks such as: PyTorch TensorFlow Hugging Face Transformers Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters. Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation. Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results. Experience working with large and complex datasets. Good English communication skills. Based in Poland. Relevant Industry Experience Experience in one or more of the following industries or data environments would be highly valuable: E-commerce Finance or banking Insurance Healthcare or medical data Telemetry and IoT data Application or system logs Real-time and streaming data High-volume enterprise data environments Nice to Have Experience with distributed model training. Experience with LoRA, QLoRA, PEFT, quantisation, or model compression. Experience with MLOps tools and model deployment. Knowledge of Docker, Kubernetes, MLflow, or similar technologies. Experience using AWS, Azure, or Google Cloud for AI workloads. Experience deploying AI models into production environments. Knowledge of data privacy, security, and governance requirements.