Вакансии

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: As a Manager of Solutions Engineering for Commercial at Grafana Labs, you will be responsible for all aspects of building and managing a team of high-performing Solution Engineers. You will own the regional build-out with your sales leader counterparts, adopting existing OSS Specific GTM strategies and developing new ones as needed. You’ll work with your Customer Experience counterparts to ensure that your customers are successful after the sale, in their adoption and roll-out of Grafana products through professional services, support, training, and customer success. You’ll work with marketing to drive community and adoption programs in the region designed to broaden the adoption of both OSS and commercial/cloud versions of our products. You’ll also work closely with Product Management and Engineering to ensure that we are constantly delivering value to our customers by influencing the roadmap, based on your customers and team feedback, as well as leveraging your own experience in the Monitoring and Observability space. All of this will be required for you to hit and then exceed your region's financial targets and ultimately, our company's goals. Your impact will be felt globally when the job is done well. What You’ll Be Doing: Attract, recruit, ramp, and mentor a team of great Presales SE’s from diverse backgrounds and experiences. Get the best out of your team with a coaching mindset and lead from the front approach.  Adopting a player/coach mentality will be critical here, ensuring that you balance your field responsibilities with the needs of your team. This role requires you to lead from the front! Executive sponsorship of key accounts in the region will be key to your success.  The right candidate will be a thought leader to customers and internally within Grafana Labs. Direct the bulk of your day-to-day work based on guidance and goals from your leadership, owning the planning, actions and outcomes of the region. Partner with Sales leadership on top of funnel programs, marketing initiatives and community/company events to drive awareness of Grafana’s brand and the problems we help solve. Understanding your key customers’ strategies for adoption of Grafana technologies and developing programs and collateral to enable them to be successful. Ensure that your customers’ requirements are being met with our product through partnership with Product Management and Engineering Own and report on the quarter over quarter cadence of your team while they help prospects evaluate our software with discovery, demonstrations, key stakeholder interviews, workshops and technical validation, including POVs and Mutual Account Plans Own your teams PG plan in partnership with your sales and sales leader counterparts, helping build pipeline for new logo targets What Makes You a Great Fit: Located on the West Coast 5+ years in the high tech industry having held roles such as Developer, Sales Engineer/Architect, Manager, etc. Direct experience mentoring, developing people and managing performance over time. Experience in Open Source selling or Cloud first/Product led sales go to market motion a big plus. Direct experience implementing and/or executing a formal sales methodology,  Command of the Message, qualification frameworks like MEDDPICC. Direct experience selling monitoring/data/visualization products. Direct experience in DevOps (IaC, CI/CD, GitHub Actions, etc) a plus Proven ability to own a book of business, direct your own and your team's work and initiatives to exceed your quarterly targets. Proven ability to work with sales leader counterparts Compensation & Rewards In the US, the OTE (On-Target Earnings) compensation range for this role is $234,000 - $278,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin | Denver | San Francisco | New York About the Role As an FDE, you'll work as a hands-on, consultative build partner to a portfolio of Cloudflare's most strategic customers — companies building complex, ambitious applications on our developer platform. You'll work shoulder-to-shoulder with their engineering teams to shape architecture, prototype alongside them, review code, and unblock the hard technical problems that stand between them and production — so they can build faster and scale further on Cloudflare. This is a one-to-many motion. Rather than embedding full-time with a single account, you'll work in parallel, bringing patterns, reference implementations, lessons learned from across your portfolio to every customer you work with. Customers come to us building on the developer platform, but when we engage we support the full breadth of the Cloudflare platform. You operate as a technical force multiplier — helping customers ship, raising the quality of what they build, and surfacing real-world product insights back to Cloudflare's Product and Engineering teams. What you'll do Act as the hands-on technical build partner across a portfolio of strategic customers building on the Cloudflare platform, driving each engagement forward from idea to launch. Shape scalable, resilient architectures on Cloudflare and guide customers on the design decisions that matter — before they become bottlenecks. Hands-on development alongside customer teams to prototype, configure, and build reference implementations that demonstrate the right way to solve a problem on Cloudflare. Review customer code and share the best practices that raise the quality, performance, and security of what they build. Diagnose and resolve hard technical problems across the stack, removing the blockers between customers and a successful launch. Write reference code, samples, and technical guidance that customers can learn from, build on, and reuse. Support the full breadth of the Cloudflare platform when engaged — from Workers, storage (KV, R2, D1), and Durable Objects to AI (Workers AI, AI Gateway, Vectorize), security, networking, and observability. Join Customer Engineering rituals — design reviews, planning sessions, and technical working sessions. Surface real-world edge cases, friction, and product gaps directly to Cloudflare's Product and Engineering teams to shape the product roadmap. Establish and maintain trusted technical relationships with customer engineers and technical leaders (Staff+ engineers, Directors, and VPs). Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across each customer's tech stack. Desirable Skills, Knowledge, and Experience At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. Proven Engineering Pedigree: 7+ years of professional software engineering experience, including time in a customer-facing engineering role — such as forward deployed, solutions or sales engineering, professional services, or developer relations — where you worked hands-on with external engineering teams. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them. Languages : You are experienced with modern languages like TypeScript, Rust, and Go. Active Practitioner : You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns. Full-Stack Architectural Depth : Broad technical fluency across the entire stack — from frontend performance and backend logic to data/storage and distributed infrastructure. Production Maturity : You've owned mission-critical services with real-world users. You understand production rigor, the urgency of incident response, and the architectural discipline required to run highly available systems. AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery. Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details. Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives. High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end. Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact. Bonus Points Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform. A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $244,000 - $290,000 For New York based hires: Estimated annual salary of $234,000 - $280,000 For Colorado based hires: Estimated annual salary of $212,000 - $255,000 Commissions: This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Applications will be accepted until January 15th, 2027. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace. About the Team The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation. What You'll Do Delivery Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like Plan and track execution across quarters and sprints; deliver on schedule without compromising quality Identify blockers early, resolve them decisively, and escalate when escalation is the right call Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt Team Manage, mentor, and grow a team of Senior and Staff engineers Own hiring, onboarding, and performance management Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change Apply AI tooling to how the team works, not just what it builds Technical Ownership Participate in architecture and design decisions as a technical peer to your engineers Make trade-off calls on scope, approach, and sequencing - and be accountable for them Understand the system deeply enough to allocate the team's capacity where it matters most Communication Keep leadership informed on progress, risks, and blockers with clarity and without spin Build working relationships with peer leads across engineering and product Represent your team's priorities and constraints in cross-team planning What We're Looking For 5+ years managing engineering teams, including Senior and Staff-level individual contributors Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available Track record of shipping complex software on schedule in a fast-moving environment Experience managing a fully remote, distributed team across multiple time zones Strong written communication - in an async environment, writing is the primary management tool Nice to Have Experience building AI-powered products - agents, LLM pipelines, or orchestration systems Background in platform, integration, or developer-facing infrastructure Experience scaling a team through periods of rapid growth Familiarity with enterprise SaaS or automation platforms (REQ ID: 2941)

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: London What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least three of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: построение ML-моделей, корректирующих оценки ETA маршрутизатора (от градиентного бустинга до нейросетей и архитектур на основе Transformer по мере роста данных); модели оценки трафика, превращающие GPS-данные в дорожные скорости и исторические профили трафика;

Задачи: сбор и уточнение требований от маркетинговых аналитиков и BI, их перевод в изменения логики атрибуции, источников и data marts; миграция attribution-пайплайна (dbt-модели, Airflow DAGs, источники) на core DWH-платформу с параллельным прогоном старого и нового контуров и сверкой до переключения;

Design and develop digital circuits and RTL modules for ASIC and SoC platforms. Write, review, and optimize RTL code using Verilog and SystemVerilog.

We are hiring a Director, Solutions Engineering to lead presales at RHONDOS, reporting to the President & Chief Product Officer. You will lead our sales engineering function worldwide and own how RHONDOS designs, demonstrates, and proves PowerConnect for customers and partners.

As Critical Facilities Engineer, you'll be the hands-on engineer who keeps power and cooling running at Verda's site in Finland. * Incident response: Be the first technical response to power and cooling events, including electrical, mechanical and liquid cooling faults, and share the facilities on-call rota with the Site Critical Facilities Manager.

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs we are looking for an AI Engineer (Strong Middle / Senior level) to own and drive the quality, reliability and evolution of our AI systems in production. This is a high-ownership role. You will be responsible for end-to-end delivery of AI features, production stability of AI systems, and data-driven experimentation using tools like Langfuse and Cloudflare AI gateway for model routing. Increasingly, this includes agentic, tool-using AI systems: defining clean tool contracts (including MCP-based tools) and orchestrating how AI interacts with internal services, search and background pipelines. The stack is TypeScript end to end: Node.js and Hono services on Cloudflare Workers with Durable Objects and Containers, PostgreSQL, OpenSearch. Models from several providers run behind an AI gateway, with prompts, traces and evaluations in Langfuse. KEY RESPONSIBILITIES AI Systems Ownership & Feature Delivery - Take ownership of major AI features and LLM workflows and deliver them to production within agreed timelines. - Own AI output quality, structure and predictability across user-facing AI interactions, with consistent structured output across different LLMs for the same request type. - Integrate and orchestrate multiple LLM providers through an AI gateway, managing model selection, fallback strategies and cost optimisation. - Design and orchestrate tool-using and agentic AI workflows: clean tool contracts (including MCP-based tools), function-calling interfaces and reliable AI-to-system integrations. - Build and maintain multi-step LLM workflows and RAG pipelines (indexing, embeddings, retrieval, re-ranking) for reasoning, context reuse and search. Prompt Engineering, Evaluation & Experimentation - Design and manage production prompt systems with dynamic prompting, context injection, and conditional logic. - Own prompt management, the release of LLM experiments and Langfuse-based evaluation pipelines: test datasets, LLM-as-a-judge, output scoring. - Run A/B tests across models and prompts, analyse the results and present the data-driven impact of AI features and experiments. - Deep-debug LLM chains using Langfuse traces: identify bottlenecks, optimise for cost, latency and context-window usage, and root-cause hallucinations and logic errors. Code Quality & Production Reliability - Write clean, scalable and maintainable TypeScript across the Node.js / Cloudflare Workers stack. - Build reliable backend logic for AI systems: request and output validation, error handling, fallback flows for malformed or low-quality model responses, and reliable tool execution. - Ensure high code quality through tests (including validation and fallback paths for AI output), code reviews and clear engineering standards. - Monitor AI system metrics, quality signals, latency and release health, and resolve production issues with a documented root cause. - Document prompt designs, model and routing choices, evaluation results and architectural decisions, so others can pick up the work. QUALIFICATIONS - 4+ years of backend/fullstack software engineering experience, with production-grade TypeScript/Node.js. - 1+ year of AI/LLM systems in production with real users, not only side projects or experiments. - Daily use of AI-centred development tools (Claude Code, Cursor or similar). - Deep hands-on experience with LLM APIs (OpenAI, Anthropic, Google Gemini or similar) in production: structured output, function calling, streaming, token and cost control. - Experience with agentic AI, multi-step orchestration, tool-based workflows (function calling / tool execution) or RAG pipelines (indexing, retrieval, re-ranking). - Experience with LLM observability and evaluation tools (Langfuse, LangSmith or similar). - Experience with AI gateways and model routing (OpenRouter, Cloudflare AI Gateway or equivalent). - Solid understanding of relational databases (PostgreSQL) and caching (Redis, KV or similar). - Exceptional ownership and personal responsibility for engineering quality and delivery. NICE TO HAVE - Evaluation frameworks (LLM-as-a-judge, RAGAS) and building test datasets. - MCP (Model Context Protocol): building MCP servers/clients or designing tool contracts for AI agents. - Edge/serverless runtimes (Cloudflare Workers) and their services: KV, Durable Objects, Queues, R2, Containers. - Search engines and vector search (OpenSearch, Elasticsearch, pgvector), embeddings. - Background workflow engines (Hatchet, Temporal, Inngest) for high-volume LLM pipelines. - Browser automation and browser agents (Playwright, CDP, browser-use). - Practical fine-tuning for domain-specific tasks or strict JSON/schema compliance. - Working Python for data science, evaluation scripts, or AI tooling. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Intellias Meet your recruiter Kateryna Zemetska kateryna.zemetska@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Dive deep into Digital! For more than 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! What project we have for you For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer to support the development and implementation of an AI-powered pricing model. The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential. The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed. The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff. What you will do Further development and customisation of an existing AI pricing prototype based on Azure Databricks Analysis and processing of internal and external data sources Development and implementation of neural networks and machine learning models Development, training and validation of proprietary AI models Implementation and optimisation of AI models using Python Use and processing of Large Language Models (LLMs) and prompt engineering Porting existing models to the company’s own data and system landscape Collaboration with the internal data science team and international project stakeholders Supporting the integration of the developed solution into the existing ERP system What you need for this At least 2–3 years’ practical project experience in AI engineering or similar AI projects Very good knowledge of Azure Databricks Strong knowledge of Python Substantial experience in machine learning and deep learning Practical experience in the development, training and validation of neural networks Experience working with Large Language Models (LLMs) and prompt engineering Experience in the development and implementation of AI models in real-world business environments Ability to translate business requirements into technical models and solutions Good communication skills in English and German Ability and desire to travel to client office (Germany) An independent and structured approach to work Will be a plus: Experience in the retail sector Experience with pricing models and predictive analytics Experience integrating AI solutions into ERP systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Databricks English German Python

Location: Bruxelles, Belgique Why Paynovate? Paynovate is a growing Belgian fintech with over 80 employees, developing payment solutions in a fast-moving, regulated environment. We value autonomy, ownership and teamwork. Join our Infrastructure team and take on technical and leadership challenges at the heart of our payment platform. Your Role Reporting to the Head of Engineering, you'll lead our team of four System Engineers, drive our AWS-first strategy and keep our platform secure, reliable and cost-efficient. This is a hands-on role: around half of your time will go to engineering work alongside your team, the other half to technical leadership, governance, planning and people management. You'll join the Engineering management team, shaping technical direction alongside fellow team leads and senior technical contributors. You’ll work closely with Security, Compliance, Risk, Finance and Operations, and above all with delivery teams, giving them a secure, compliant platform they can ship on autonomously. What You'll Work On Our Infrastructure team powers a payment platform undergoing significant modernisation, with the following key priorities: AWS-first : Migrating our remaining on-premises solutions to the cloud and making AWS the default for everything we build and run. Reliability and compliance : Keeping our infrastructure reliable, observable and compliant with PCI-DSS, PCI-PIN, DORA and other regulatory requirements. Platform hardening : Strengthening the security of our operating systems, networks and third-party integrations against evolving threats. Autonomous delivery enablement : Improving our operating model so delivery teams ship autonomously through a DevOps culture, CI/CD and automation, while keeping strong control over production changes. What You'll Do System Engineering : Lead the infrastructure side of our AWS migration while keeping existing systems stable. Design, build and troubleshoot cloud and on-premises systems using Terraform, Ansible, Docker and AWS services. Build and improve the CI/CD pipelines, automation and self-service tooling that delivery teams use to deploy and run their services. Operate our MySQL databases in production. Participate in a compensated on-call rotation, approximately one week per month. Team Leadership : Hold one-to-ones, provide regular feedback and conduct annual performance reviews. Manage recruitment, onboarding and team development, coaching engineers and strengthening technical practices. Build a healthy, collaborative team culture where issues are raised and resolved early. Lead delivery planning and execution, balancing team capacity, business priorities, platform reliability and technical debt. Work with fellow team leads on cross-team initiatives, such as bringing AI into our engineering workflows and evolving our shared SDLC and change-management practices. Communicate plans, priorities and technical decisions clearly within the team and to technical and non-technical stakeholders. Technical and Operational Leadership : Own the infrastructure roadmap, in alignment with delivery teams and the Engineering management team. Own monitoring, alerting and incident management: SLOs, MTTA/MTTR, observability dashboards and blameless post-mortems. Lead cloud architecture discussions and decisions with architects and delivery teams. Shape our platform engineering approach, providing self-service tools and guidance that empower delivery teams. Drive security initiatives together with Security and Risk. Own infrastructure spend: track costs, negotiate with providers, and optimise our usage. What You Bring Essential : Strong AWS experience, including architecture, operations and security. Solid experience with Linux, Docker and Infrastructure as Code (Terraform, Ansible). Good understanding of networking and hybrid cloud/on-premises environments. Experience with CI/CD, infrastructure automation, observability and production troubleshooting. Experience leading an engineering team, including direct people management, coaching and delivery ownership. Strong communication skills and the ability to work across teams. A pragmatic, business-aware approach to technical decisions. Professional working proficiency in English. Nice to Have : Experience operating MySQL in production. Experience with HSMs. Experience in payments, fintech or another regulated environment, ideally with PCI-DSS, PCI-PIN or DORA. Experience working with vendors and keeping infrastructure costs under control. Don't tick every box? We'd still like to hear from you How We Work Our engineering culture is built on a balance between autonomy and teamwork, guided by three principles: Autonomy: "I can do it." Take initiative, solve problems and know when to ask for help. Ownership: "I make sure it gets done." Take responsibility and follow things through. One Team: "We succeed together." Communicate openly, share knowledge and support each other. What we offer A hands-on leadership role with real autonomy and impact on how our payment platform evolves. Technical challenges in payments, including the modernisation of existing systems. A collaborative team and opportunities to develop your skills. Hybrid working and a benefits package including 32 days of holiday, a mobility budget, meal vouchers, health and group insurance, a phone, and a homeworking allowance. Interview Process Technical Background and Ways of Working (60–90 min): Meet other Engineering Team Leads. We'll dive into your technical background and discuss how we collaborate, solve problems and support each other as peers. Department Vision and Q&A (60 min): Meet our Head of Engineering. This is an opportunity to understand the broader company strategy, learn about the engineering department's goals and ask any big-picture questions you have about the role. Meet the Team (30 min): An informal chat with one or two engineers from your future team. This is a two-way street: it gives the team a chance to meet their future manager and gives you a feel for the people you'll be leading day to day.

Location: Manila, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity We are looking for a hands-on AI Engineer to bring AI into how Advantage HQ operates, across every team and every core process. As we scale, our teams spend a large share of their time on manual work: gathering data, building reports, writing briefs, moving information between tools, and repeating the same steps across clients. We see a large opportunity to use AI to remove that work, speed up decisions, and help every team do more with the same headcount. Your mission is to design and build the AI systems, internal tools, sites, and dashboards that make our company faster, more efficient, and more data-driven. You will own this work end to end: mapping how teams work today, identifying where AI and automation can make the biggest difference, building the solution, rolling it out, and making sure people use it. This is not a research role or a prompt-writing role. We are looking for an engineer who writes production code, understands how to apply LLMs to real business processes, and knows how to build tools that people rely on every day. You will work closely with leadership and with our Growth, Creative, Media Buying, Client Services, Finance, People, and Technology teams to find the highest-value problems and solve them with AI. Success means AI is built into how Advantage HQ works: core processes are automated, teams have the tools and dashboards they need, and the business runs measurably faster and more efficiently. What You'll Own AI Strategy & Process Transformation Map current workflows across departments and identify where AI and automation can save time, reduce errors, or improve decisions. Build and maintain a prioritized roadmap of AI opportunities based on business impact and effort. Redesign processes around AI, not only add AI to existing steps, working with team leads to agree on the new way of working. Recommend which problems need custom builds and which are better solved with existing AI tools and platforms. Track and report the impact of each initiative to leadership in terms of time saved, cost, and quality. Stay current with new models, tools, and techniques, and assess which ones are ready for use across the company. AI Systems, Agents & Automation Build AI agents and multi-step workflows that automate research, briefing, reporting, analysis, and operational tasks. Develop LLM-powered applications with Claude as our primary model, using other providers where they fit better. Automate repetitive work between tools, such as data entry, status updates, client reporting, onboarding steps, and approvals. Build AI assistants that help teams draft, summarize, review, and answer questions using company knowledge. Write, test, and version prompts, tool definitions, and structured outputs as part of the codebase. Add human review steps where accuracy matters, so automation stays reliable. Internal Tools, Sites & Dashboards Design and build internal web apps, portals, and sites that give teams one place to access the tools and information they need. Build dashboards that give leadership and teams real-time visibility into performance, operations, and key business metrics. Connect dashboards to live data sources so reporting is automatic rather than built by hand. Create AI-powered features within internal tools, such as natural-language search, automated insights, and summaries. Build tools quickly using a mix of custom code and low-code platforms, choosing whichever fits the problem best. Maintain and improve internal tools based on user feedback and changing business needs. Data, Integrations & Knowledge Systems Integrate the systems we use every day, including Google Workspace, Slack, project management tools, CRM, HR systems, and advertising platforms. Build data pipelines that collect, clean, and structure data from internal and external sources. Build retrieval-augmented generation (RAG) systems over SOPs, playbooks, client information, and internal knowledge so teams can find answers instantly. Organize company knowledge so it is accurate, current, and usable by both people and AI systems. Work with team leads to define data standards and keep data clean across systems. Connect with the Technology team on Meteoric AI where internal tools and our proprietary platform overlap. Quality, Security & Reliability Build evaluation checks that measure the accuracy and usefulness of AI outputs before and after changes. Monitor AI systems and automations for errors, failures, and drift, and fix issues quickly. Ensure company and client data is handled securely, with the right access controls and data privacy practices. Set up logging and monitoring so every system can be traced and debugged. Monitor and manage the cost of AI tools, APIs, and infrastructure. Document every system clearly so it can be maintained, handed over, and improved. Adoption, Enablement & Collaboration Work closely with each team to understand their workflows, pain points, and goals before building. Roll out new tools with clear guides, demos, and training so people use them. Help teams use Claude effectively in their daily work, including setting up shared Projects, Skills, and connectors for each team. Collect feedback, track usage, and improve tools that are not getting adopted. Explain technical trade-offs and results clearly to non-technical teammates and leadership. Help build a culture where every team looks for ways to work smarter with AI. Who You Are You are an experienced engineer who uses AI to change how businesses operate, not only to build demos. You have hands-on experience building AI systems, automations, and internal tools that teams rely on, and you understand the full process, from mapping a workflow and choosing an approach to building, rolling out, and measuring the result. You know that a tool nobody uses has no value. You measure your work by hours saved, processes improved, and how many people use what you build. You are pragmatic about technology. You pick the simplest approach that solves the problem, whether that is an off-the-shelf tool, a low-code automation, a dashboard, an AI agent, or a custom application. You are also a builder. You can take an unclear problem, define the scope, ship a first version quickly, and improve it based on feedback and data. You are comfortable working with people from every department, understanding how they work, and explaining technical decisions in plain language. Most importantly, you are highly accountable, proactive, analytical, and comfortable taking ownership of the systems you build. Experience We Value 4+ years of professional software engineering experience, including 2+ years building AI, automation, or internal tooling in production. Strong proficiency in Python and TypeScript or JavaScript. Strong hands-on experience with Claude, including the Claude API, Claude Code, Projects, Skills, and connecting Claude to business tools through the Model Context Protocol (MCP). Experience with other LLM providers such as OpenAI or Google Gemini, and knowing when each model is the right fit. Experience building AI agents, tool use, function calling, and multi-step workflows. Experience with workflow automation platforms such as n8n, Make, or Zapier. Experience integrating business tools through APIs and webhooks, including Google Workspace, Slack, CRM, and project management tools. Solid SQL skills and experience with databases, data pipelines, and data warehouses. Experience leading AI adoption or process improvement inside a company is a strong plus. Excellent communication skills and the ability to work directly with non-technical stakeholders. Entrepreneurial mindset with a strong bias toward execution, ownership, and measurable results. What Success Looks Like Your performance will be measured primarily by how much AI improves the way Advantage HQ operates. Key metrics include: Processes Automated: Number of core business processes automated or redesigned with AI. Time Saved: Hours of manual work removed each month across teams. Tool Adoption: Active, regular use of AI systems, internal tools, and dashboards by each team. Delivery: Number and quality of AI systems, sites, and dashboards shipped on schedule. Reporting Coverage: Share of key business metrics available in automated, real-time dashboards. Process Speed: Reduction in turnaround time for key workflows such as reporting, briefing, and onboarding. Output Quality: Accuracy and usefulness of AI outputs, measured against defined checks. System Reliability: Uptime and error rates of AI systems and automations. Cost Efficiency: Cost of AI tools and infrastructure relative to the time and money they save. Stakeholder Satisfaction: Feedback from the teams who rely on the tools you build. Why Join Advantage HQ This is an opportunity to lead how AI is put to work inside a rapidly scaling creator-led growth business. You will have the autonomy to decide which processes to transform, choose the right tools and architectures, and see your work used every day by every team in the company. You will work alongside experienced Growth, Creative, Media Buying, Client Services, and Technology teams, with direct access to leadership and the support to make real changes to how we work. We are looking for someone who wants to make a real operational difference, grow with a fast-moving team, and take ownership of systems with company-wide impact. Compensation & Location $24,000 - $48,000 USD total annual compensation, including base salary, performance bonus, and equity. Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. Compensation will be based on experience, technical depth, and the scope of the role. If you are excited to build AI systems, internal tools, and dashboards that change how a company works, and to put AI at the center of every team and process, we would love to hear from you.

Service Engineer L1 IT Вакансии Ищем Service Engineer L1, который будет работать на первой линии технической поддержки, заниматься мониторингом инфраструктуры, первичной диагностикой и взаимодействием с командами разработки и DevOps в международной продуктовой IT-компании, расширяющей свою инфраструктуру в Сербии.

Location: Intellias Meet your recruiter Daniela Riabova daniela.riabova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Poland Remote APPLY NOW REFER A FRIEND A leading German distributor of building materials, the company serves construction professionals and private customers through an extensive network of branches and showrooms. It offers a comprehensive range of products and services for residential construction and renovation, providing a convenient one-stop shop for its customers. What project we have for you For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer (m/f/d) to support the development and implementation of an AI-powered pricing model. The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential. The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed. The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff. What you will do • Further development and customisation of an existing AI pricing prototype based on Azure Databricks • Analysis and processing of internal and external data sources • Development and implementation of neural networks and machine learning models • Development, training and validation of proprietary AI models • Implementation and optimisation of AI models using Python • Use and processing of Large Language Models (LLMs) and prompt engineering • Porting existing models to the company’s own data and system landscape • Collaboration with the internal data science team and international project stakeholders • Supporting the integration of the developed solution into the existing ERP system What you need for this At least 2–3 years’ practical project experience in AI engineering or similar AI projects • Very good knowledge of Azure Databricks • Very good knowledge of Python • Substantial experience in machine learning and deep learning • Practical experience in the development, training and validation of neural networks • Experience working with Large Language Models (LLMs) and prompt engineering • Experience in the development and implementation of AI models in real-world business environments • Ability to translate business requirements into technical models and solutions • An independent and structured approach to work, as well as good communication skills • knowledge of German required (B1/B2) • Occasional on-site attendance in Dortmund (approx. 2–3 appointments per quarter) Nice-to-have: • Experience in the retail sector • Experience with pricing models and predictive analytics • Experience integrating AI solutions into ERP systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

• Высшее техническое образование: компьютерные науки, прикладная математика, IT или смежные направления. • Опыт в разработке или инженерии данных от 4 лет, из них от 1 года практической работы с LLM.

— разработка сервисов и API мультиагентной системы; — извлечение данных из чертежей и техдокументации: OCR, VLM, парсинг PDF, DWG/DXF и сканов;

Сильного сетевого инженера с DevOps-бэкграундом, который умеет строить масштабируемую VPN-инфраструктуру и находить решения там, где другие упираются в блокировки. Развивать и автоматизировать VPN-инфраструктуру на базе Xray и Remnawave, проектировать каскадные архитектуры (relay / multi-hop), работать с VLESS, REALITY и XHTTP.