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Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Warsaw, Poland; Tbilisi, Georgia; Medellin, Colombia On behalf of EnergyTech Client #1 , SD Solutions is looking for a talented Sales Engineer The Sales Engineer will support the design, configuration, and performance assessment of battery energy storage systems using our tools and platforms. In this full-time hybrid role based in the USA, the engineer will split time between onsite collaboration and remote work, participating in technical discussions with product, software, and engineering teams. Day-to-day tasks include providing presales technical support, demonstrations, support to internal stakeholders and clients, reviewing system requirements, assisting with integration and testing of software features related to BESS, and documenting application workflows and best practices. The role also involves analyzing field data, troubleshooting issues, and recommending improvements to system models and configurations to enhance reliability, efficiency, and user experience. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Provide presales technical support and product demonstrations Support internal stakeholders and clients Review system requirements Assist with integration and testing of software features related to BESS Document application workflows and best practices Analyze field data, troubleshoot issues, and recommend improvements to system models and configurations to enhance reliability, efficiency, and user experience Participate in technical discussions with product, software, and engineering teams Requirements: BESS experience and background in the battery storage market Strong Technical Support skills, including issue diagnosis, stakeholder communication, and structured problem resolution Software Development skills relevant to applications engineering (scripting, API integration, or working with simulation and modeling tools) Electrical Engineering skills related to power systems, energy storage, and grid integration concepts Mechanical Engineering skills helpful for understanding BESS hardware, thermal management, and system layout considerations Testing skills for validating system performance, conducting functional checks, and documenting test results Familiarity with battery technologies, inverters, and energy management systems Ability to interpret technical documentation, single-line diagrams, and engineering specifications Strong analytical, written, and verbal communication skills, with the ability to collaborate in a multidisciplinary environment Bachelor’s degree or equivalent experience in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field preferred Comfort working in a hybrid setup in Boston, MA and managing responsibilities with clear priorities and deadlines Advantages: Hands-on experience with battery energy storage systems (BESS) Experience with energy management systems, inverters, and grid integration Familiarity with simulation/modeling tools and API integrations About the company: A centralized platform for managing and monitoring renewable energy infrastructure. The solution consolidates digital asset data in a single environment, leveraging real-time monitoring and machine learning algorithms to optimize operational performance and reduce energy consumption at scale. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

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 a Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team. Responsibilities: Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization Partner closely with technical counterparts to ensure seamless execution and customer success Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling Develop and execute account strategies that support customers through various growth stages, from early startup to category leader Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders You may be a good fit if you have: 15+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships Track record of leading and closing sophisticated commercial deals with multiple stakeholders Experience working directly with founders and C-level executives at high-growth technology companies Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations Proven ability to influence product direction and strategy based on customer needs Excellence in stakeholder management across multiple levels, from technical teams to C-suite Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences Strong candidates may have: Experience working with venture capital firms or understanding of the venture ecosystem Background in consumption-based/usage-based pricing models Experience supporting customers through hypergrowth phases Understanding of the AI/ML landscape and key trends Track record of helping define commercial frameworks for emerging technology markets 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: $380,000 — $450,000 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.

CodiLime is an IT company specializing in complex computer networks, cloud infrastructure, and low-level software development. The position is for a Software Engineer working with Go, Networking, and Distributed Systems. The work format can be remote, office, or hybrid based in Poland.

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SDET Contractor We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems. The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient. Responsibilities Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations. Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing. Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria. Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle. Integrate automated testing into CI/CD pipelines and establish effective quality gates. Partner with Software Engineers, Product Managers, and other QE teams to improve testability, observability, and overall product quality. Analyze defects and production issues to identify root causes, testing gaps, and opportunities for continuous QE improvement. Establish quality metrics and provide visibility into test coverage, reliability, defects, and release readiness. What You'll Do Test Agentic AI workflows, including multi-step execution, tool selection and invocation, task completion, and failure handling. Validate AI-generated responses using appropriate measures for accuracy, relevance, groundedness, consistency, and adherence to expected behavior. Test AI guardrails, unexpected inputs, and failure scenarios, including incorrect tool usage and prompt-based attacks. Validate interactions between AI agents, APIs, tools, data sources, and downstream services. Develop reusable automation, test data, and evaluation scenarios for repeatable AI and services testing. Validate API contracts, schemas, authentication, business rules, error handling, and service integrations. Investigate failures across distributed systems and distinguish application, integration, environmental, automation, and AI-related issues. Participate in defect triage, root-cause analysis, regression testing, and release-readiness activities. Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. 4+ years of experience in Software Development Engineering in Test, Quality Engineering, Software Engineering, or a related discipline. Strong experience testing REST APIs, backend services, microservices, or distributed systems. Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language. Experience with functional, integration, regression, contract, and end-to-end testing. Experience integrating automated tests into CI/CD pipelines. Strong analytical, debugging, and root-cause-analysis skills. Experience working in an Agile development environment and collaborating across engineering teams. Required Skills Strong understanding of software testing methodologies and Quality Engineering practices. Strong API and services testing experience, including REST, JSON, schemas, authentication, and error handling. Experience designing and maintaining automated test frameworks. Experience with Git and CI/CD development workflows. Ability to develop risk-based test strategies and identify appropriate testing layers. Experience testing distributed systems and service-to-service integrations. Hands-on experience testing Generative AI, LLM-powered applications, or Agentic AI systems. Understanding of testing non-deterministic AI behavior and evaluating outputs beyond exact-match assertions. Preferred Skills (Good to have) Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management. Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection. Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies. Experience testing RAG systems or AI agents interacting with APIs, databases, or external tools. Experience with contract testing tools such as Pact and API specifications such as OpenAPI/Swagger. Experience with event-driven architectures, Kafka, Docker, Kubernetes, or cloud platforms such as AWS. Experience with performance, scalability, reliability, or resiliency testing. Experience establishing QE metrics, quality gates, or cross-team testing standards. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $51.61 — $77.42 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Hong Kong We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Hasbro is seeking a highly skilled, innovative, and creative professional to join its 3D Digital Sculpting team. This team is dedicated to producing content that captivates a global audience through imagination and play. Our products bring narratives to life, ranging from intricately detailed fan-oriented items to children's toys and gaming experiences. Requirements: • Bachelor’s degree in art or design Field (Computer Animation, Illustration, Game Art Design, Fine Art, etc.) • Minimum 4 years of experience in digital sculpting, 3D modeling, art, or product development for consumer goods. • A robust understanding of anatomy, along with exceptional aesthetic and design sensibilities. • Solid working knowledge of plastics manufacturing, material drafting, engineering model development, be familiar with material usage, decoration, product safety, and performance reliability. • Experience in animation rigging, digital texturing, lighting, and painting is a plus. • Strong project management skills, be able to work in a team environment and have good communication skills with the ability to execute multiple projects with time sensitive schedules and shifting priorities. • Solid team worker and good at managing internal and external key stakeholders. • Excellent communication skills with proficiency in English, Mandarin or Cantonese. Proficiency in the following programs is required: • Maxon Pixologic Z-Brush • Blender • Maya • Adobe creative suite • KeyShot • Microsoft Office What you will do: • Responsible for the daily 3D design, development, and execution of specific brands. Tasks include creating original product sculpts that will be used in the engineering, tooling while retaining the original sculpt aesthetics. Expectations include high-quality 3D modeling, hard-surface modeling, organic sculpting (characters/creatures), and PBR rendering. Accurately transform character concepts into detailed models that reflect the intended essence, style, and personality. • Apply innovative approaches and creative problem-solving (e.g., new technology, software, methods) in the creation and development of new product sculpts to support production. Identify product development and process issues, recommend solutions, and implement them. • Collaborate closely with development teams, model shops, and tooling vendors to maintain consistency in style and quality across all character assets, from 3D Design to final product. Ensure character models are optimized for manufacturing requirements. Incorporate engineering criteria into design and execute complex problem-solving based on concept sketches, written, and verbal design input specifications. • Establish and adhere to precise tolerances and manufacturing constraints to ensure safe, effective, and consistently reliable product performance. Contribute to defining and identifying engineering, design, and product requirements. Ensure feasibility and performance meet applicable standards across the brand. • Assume responsibility and accountability for project execution meeting defined milestones dates. Adhere to critical schedules and provide progress reports. • Enhance vendor capabilities to address future projects and expand local talent resources. What you will bring: • Clearly convey artistic and technical direction through visual and written feedback to internal and external teams. Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Munich, Germany 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Public Sector A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: Munich, Germany 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 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 Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Genuine interest in Financial Services and improving the end customer experience. Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is looking for an enthusiastic Senior Embedded Engineer to join our Software Organization as part of the Embedded Engineering team. You will work with Hardware, Signal Processing, Manufacturing and Product teams to develop and deliver against Hardware and Software roadmaps. The Embedded team’s mission is to build and deploy stable, accurate, and power efficient firmware platforms for all our in house developed devices via a seamless 24/7 connection and interaction between our mobile apps. At Whoop, the Embedded team is at the intersection of the Hardware and Software domains, bridging the gap between the physical and the digital world. As a Senior Embedded Engineer you will collaborate with a diverse group of the industry’s best and brightest engineers in supporting current products, as well as developing new cutting edge products that help our members achieve their health and fitness goals with industry leading monitoring and data analysis. RESPONSIBILITIES: - Develop and test firmware in C for WHOOP’s product line, including features optimized for low-power performance. - Take ownership of complex firmware features and ensure they meet performance, power, and reliability goals. - Debug and resolve challenging issues across software, hardware, manufacturing, and system integration. - Define, write, and maintain clear technical requirements and documentation. - Participate in code reviews to ensure clarity, correctness, and adherence to coding standards. - Design and improve firmware self-tests, validation tools, CI workflows, and internal development tools. - Support electrical development by evaluating components, bringing up drivers, and contributing to hardware design discussions. - Leverage AI as a development tool and share learnings with the team. - Collaborate with Electrical, Signal Processing, Mobile, and Manufacturing teams to validate designs and refine interfaces. - Mentor teammates by providing guidance on design, implementation, and debugging. - Identify opportunities to improve performance, power efficiency, stability, and reliability across the firmware platform. QUALIFICATIONS: - Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a related field. - 5+ years of embedded firmware development experience. - Excellent problem-solving and analytical skills, with the ability to resolve ambiguous issues independently. - Excellent interpersonal, written, and verbal communication skills, with experience mentoring and collaborating across teams. - Strong experience with electronics debugging tools such as oscilloscopes, multimeters, power supplies, and logic analyzers. - Proficient with device driver development and 32-bit RISC architectures such as ARM Cortex. - Proficient in C/C++ programming. - Strong understanding of electrical engineering fundamentals, with proficiency in reading schematics and hardware specifications. - Experience working with operating systems (OS) and real-time operating systems (RTOS). - Strong understanding of system communication protocols such as I2C, SPI, USART/UART, and BLE. - Experience with version control using git and modern CI/CD workflows. - Experience with unit, integration, and functional testing for embedded systems. - Experience with Agile software development practices. - Experience working on high-volume consumer electronics products preferred. - Willingness to act as both a team player and a technical leader. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. Also check out our AI studio blog here. https://engineering.prod.whoop.com/ai-studio/   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Paris; London 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 As a Product Manager on the Context team, you will define and build the foundation for how AI agents access, interact with, and leverage context, data, tools, platforms, and environments, to deliver powerful, scalable solutions. This role exists to bridge the gap between cutting-edge AI capabilities and real-world usability, ensuring our agents are both capable and seamlessly integrated into Mistral’s broader product ecosystem. You’ll work at the intersection of engineering, research, design, and business, aligning stakeholders around a shared vision while driving execution from concept to launch. The impact of your work will shape how users and enterprises interact with AI, unlocking new possibilities for automation, intelligence, and efficiency. What You Will Do - Define and evangelize a clear product strategy for our Context & Search platform, aligning it with company goals and market opportunities. - Lead market and UX research to identify unmet needs, competitive gaps, and emerging trends in enterprise AI. - Own the end-to-end product lifecycle, from ideation to launch, balancing speed, quality, and user-centric design. - Collaborate with design and research teams to create intuitive, high-impact user experiences, iteratively refined by data and feedback. - Drive go-to-market efforts, including pricing, positioning, and adoption strategies, in partnership with marketing and sales. - Align engineering, design, and business teams around priorities, trade-offs, and timelines to ensure seamless execution. - Maintain a dynamic roadmap that delivers quick wins while advancing long-term strategic bets. What We're Looking For - 5+ years of hands-on Product Management experience, preferably with a focus on Agentic AI, Context Engineering, Data platforms, MCP/Connectors, Search, Ontology and semantic layers in B2B/Enterprise environments. - Strong technical fluency to navigate trade-offs and collaborate effectively with engineering teams. - A relentless focus on solving real user problems, backed by data and qualitative insights. - Proven ability to align and inspire cross-functional teams—engineering, design, and go-to-market—without direct authority. - Exceptional communication skills, with the ability to craft compelling narratives for executives, teams, and users. - Adaptability to thrive in dynamic environments where priorities shift rapidly. - Low ego, high EQ, and a collaborative mindset to build trust and drive decisions through clarity. - A builder’s mindset, with experience turning 0→1 ideas into products users love, and the autonomy to own outcomes end-to-end. 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.

Задачи: — Разрабатывать mobile-first игровой интерфейс: live-плеер, ставки и cash-out в один тап, отрисовка раундов и множителей в реальном времени. — Реализовывать realtime-взаимодействие клиента и сервера через WebSocket / Socket.IO: синхронизация раундов, лидерборды, чат в лобби. — Писать серверную логику на Node.js + TypeScript + Express 5: betting engine, обработка исходов, история ставок. — Работать с PostgreSQL + Prisma, использовать Redis для кэширования и синхронизации состояния. — Покрывать код тестами на Vitest, участвовать в code review. — Поднимать и поддерживать локальное окружение через Docker Compose. Цели на первые 1–3 месяца: — Вместе с командой довести продукт до работающего прототипа и беты. — Возможность влиять на код, архитектуру, технические решения и развитие продукта. Требования: — 3+ года коммерческой разработки на TypeScript — Node.js на бэкенде и React на фронтенде. — Практический опыт с realtime-системами и WebSocket / Socket.IO. — Понимание синхронизации состояния, latency, reconnect-механик и других особенностей realtime. — Уверенная работа с PostgreSQL и Redis. — Опыт построения REST- и WebSocket API. — Понимание производительности и отзывчивости интерфейсов на мобильных устройствах. — Аккуратная работа с тестами (Vitest / Jest) и Git-flow. — Самостоятельность и уровень ответственности Middle+. — Опыт в iGaming / betting, понимание игровых механик и принципов provably fair. Будет большим плюсом: — Опыт работы с Kafka / KafkaJS. — Опыт с ClickHouse. — Работа с видеопотоками (HLS / .m3u8) или computer vision. — Опыт разработки PWA и мобильной оптимизации. — Опыт построения высоконагруженных realtime-систем. Условия: — Full-time. — Испытательный срок — 1 месяц. — Удаленная работа. — Конкурентный доход.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Mistral partners with the leaders of their industries to redefine how their most complex, high-stakes challenges are solved with frontier AI. As a Solutions Operations Manager for our strategic accounts, you act as the Technical Program Manager to the account leadership: you sit at the heart of the transformation, working with the client's leadership and with Mistral's best deployment strategists, forward-deployed engineers and applied scientists. You own technical program management end-to-end, planning, governance, execution, while also running the day-to-day operations of the accounts. This is a hands-on role for someone with a solid technical background who has led complex programs and is equally comfortable on running operations. You embed in an account, own the outcome, and bring AI into the day-to-day. WHAT YOU'LL DO As the operational backbone of the account, you act as the right hand to the Program Lead, ensuring Mistral sets the standard for execution, speed, and collaboration with the client. Your role blends technical program management, hands-on delivery governance, and day-to-day operations. GOVERNANCE & STRATEGIC ALIGNMENT - Ensure the Program Lead’s vision is clearly articulated and adopted by both Mistral’s account team and the client - Drive alignment between client stakeholders and Mistral teams to ensure shared priorities and high-quality delivery standards - Facilitate data-driven decision-making for leadership through weekly cadences, steering committee prep, and risk dashboards. STRATEGIC SCOPING & VALUE DEFINITION - Develop a deep understanding of the client’s business, operating model, and strategic priorities - Partner with the Program Lead and Account team to scope transformative programs, identify and define use cases, and build a clear business case and value framework - Translate strategic ambition into measurable outcomes and track the long-term business impact of each program DELIVERY & EXECUTION - Own delivery frameworks: timelines, milestones, reporting, proactively securing commitments and flagging risks or delays early. - Optimize delivery processes by identifying friction points and standardizing workflows to enhance quality and predictability. - Run the account's logistics for Mistral team going on site (access, security, meetings) OPERATIONAL INNOVATION & AUTOMATION - Build and enhance Mistral’s platform and internal tools to empower program delivery with scalable, tailored solutions - Automate workflows to eliminate manual friction in planning, reporting, and follow-ups, accelerating execution and reducing operational overhead WHO YOU ARE - Technical foundation. You have an engineering or equivalent technical background and 3–5 years of experience as a Technical Program Manager (or similar) delivering complex, multi-stakeholder technical programs at a tech company, scale-up, or enterprise. - AI-fluent. You genuinely use AI tools to automate your own work: drafting, analysis, reporting, PMO tasks. You're comfortable building and iterating on automations. - High agency. You don't wait to be told what to do. You see the gap, you close it, and you raise the standard as you go. - Customer-centric. You can hold a room with senior enterprise stakeholders and translate between business strategy and technical delivery. - Meticulous and reliable. Ownership to the last detail; nothing falls through the cracks on your watch. - Adaptable. Comfortable operating in ambiguity and a fast-moving environment; bias to action over process for its own sake. NICE TO HAVE - Experience in enterprise software, AI, or deep-tech delivery environments. - Exposure to change management / adoption at scale within large organizations. - Hands-on experience automating workflows with LLMs or building internal tooling. PRACTICAL DETAILS - Location: Paris, with travel expected ~30% of your time to customer sites (Europe) - Team: Solutions Org, reporting into the Solutions leadership. - Scope: One or several strategic accounts. 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: Israel - Office - Tel Aviv Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Solve some of the team’s toughest technical problems and build solutions that hold up as the product grows. Partner with product managers, architects, and other engineers on technical approach and planning, contributing perspectives that can extend beyond your immediate area when it’s useful. Act as a go-to technical resource for complex design and architecture questions, helping ensure solutions hold up against business needs, compliance standards, and long-term maintainability. Take ownership of the most complex technical issues that come up in your systems, driving root cause analysis and fixes that hold up over time. Mentor other engineers through code review, design discussions, and everyday guidance, helping raise the technical bar around you. Bring a high bar to your own code and design work, and help others do the same through thoughtful review and knowledge sharing. Your Opportunity: Take deep ownership of significant, technically demanding components, and help evolve core infrastructure so it stays reliable and scalable as the product grows. Work with a high degree of independence on complex technical initiatives - some of which may touch multiple systems or teams - from design through delivery. Help shape automation, testing, and deployment practices that raise the bar for reliability and velocity. Own complex projects from design through delivery, and contribute meaningfully to the thinking behind them - including, at times, decisions that touch the product itself, not just the implementation. What You'll Need: BSc in Computer Science or an equivalent degree from a recognized institution, or an exceptional track record in server-side development with advanced technical expertise. 8+ years of professional experience in software engineering, with a demonstrated ability to take on complex, ambiguous problems independently and consistently deliver high-quality outcomes. Deep expertise in one or more programming languages such as C/C++, C#, Java, Go, Python, with an ability to adapt to new technologies as needed. Extensive experience building highly scalable, distributed systems, with a strong understanding of microservices architecture, API design, and cloud-native development. Demonstrated success designing and deploying services at scale on cloud platforms such as AWS, Azure, or GCP. Strong technical judgment, with experience mentoring other engineers and weighing in on decisions that shape the product’s direction. Proven ability to manage multiple priorities and deliver reliably under tight deadlines. If you’ve reached this point, and you’re still not sure if you should apply…..Just do it! We’re human and we don’t fit a perfect mold. Having diverse backgrounds, experiences and perspectives, that’s a good thing! If you’re coming from outside of the cyber industry - great! If you’re looking to try something new - awesome! All we ask is you bring passion to all that you do, crave creativity and innovation, and embrace the hard work of gaining new skills and accepting big challenges. We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. #LI-EB1 #LI-Office We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Germany; United Kingdom; Spain; The Netherlands Workplace: Remote NOTE: this role can be located anywhere ClickHouse has a hiring presence. ClickHouse — Core Analytics Database About the Role: ClickHouse is looking for a Principal Database Performance Engineer to join the team behind our high-performance analytics database service. In this role, you will drive performance and scalability improvements across the stack, taking on ambiguous, high-impact technical challenges most engineers never get to touch. Our performance team owns the core of query execution - filters, aggregation, joins, and the index structures that make them fast. We're looking for a sharp, passionate engineer who wants to own database performance end-to-end on a petabyte-scale cloud database, from initial analysis and implementation, through production rollout. What you will do: - Identify impactful performance and scalability opportunities in customer or benchmark workloads - Architect and implement optimized database algorithms and data structures across core relational operators, indexes, query processing, memory management and scheduling - Drive the performance roadmap for latency, throughput, memory efficiency and hardware utilization improvements - Participate in the development of a complex, high-performance database system, including meticulous testing and safe production rollout - Represent the company externally through presentations, blog posts, and community contributions - Mentor and support junior engineers on the team What You'll Bring - 5+ years of experience in database performance engineering, distributed systems - Master or PhD in databases or a related field - Strong fluency in C++ and a background in performance-critical software or systems programming - A track record of driving complex performance improvements end-to-end - Deep understanding of computer science fundamentals, data structures, and algorithms - Excellent communication and leadership skills, with a proactive, goal-driven mindset PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Barcelona, Spain; Mataró, Spain; Castelldefels, Spain; Cerdanyola del Vallès, Spain; Sant Cugat del Vallès, Spain; Terrassa, Spain Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. What You'll Do Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing) Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust Requirements Must-Have Experience 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models) Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment dbt, PySpark, Snowpark, SQL, Python — strong across the modern data stack Orchestration with Airflow, Databricks Workflows, or equivalent Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows Nice to Have Pharma, life sciences, or regulated financial services domain experience Veeva CRM, IQVIA, SAP, or clinical data source integration Streamlit or Databricks Apps for business-facing analytics Databricks Data Engineer Professional certification LangChain, LlamaIndex, or equivalent RAG frameworks Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions What We're NOT Looking For Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role

Location: Dubai, United Arab Emirates; Port Louis, Mauritius; Beau Bassin, Mauritius; Vacoas-Phoenix, Mauritius; Curepipe, Mauritius; Quatre Bornes, Mauritius Our Client is a well-established Restaurant group running successful and award-winning restaurants in Dubai. Currently, they are looking for Bartenders to join their team in Dubai. Responsibilities Prepare alcoholic or non-alcoholic beverages for bar and restaurant patrons Interact with customers, take orders, and serve snacks and drinks Assess customers’ needs and preferences and make recommendations Mix ingredients to prepare cocktails Plan and present bar menu Check customers’ identification and confirm it meets the legal drinking age Restock and replenish bar inventory and supplies Stay guest-focused and nurture an excellent guest experience Comply with all food and beverage regulations Requirements Proven working experience as a Bartender Excellent knowledge of mixing, garnishing, and serving drinks Computer literacy Knowledge of a second language is a plus Positive attitude and excellent communication skills Ability to keep the bar organized, stocked, and clean Relevant training certificate Benefits As per market standards.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What you'll do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage. Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team. Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices. Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate. Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads. Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity. What you need 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level. Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information. Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization. A Master's degree in Computer Science, Engineering, or a related field is preferred. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.