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Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional. As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room. This role requires travel to support live events and customer engagements throughout the year. What will I be doing? Own the live education program end-to-end by setting the vision, roadmap, and success metrics for what we run, for whom, and to what outcome. Design and deliver engaging, live experiences including webinars, cohorts, in-person workshops, and our annual Fin Academy Live event in order to drive customer outcomes and retention. Partner with the Deployment Services team to define, create, and deliver tailored training to Enterprise customers, ensuring their teams are able to manage and scale Fin past the initial deployment. Partner with the Customer Education team to plan and maintain a holistic training curriculum that supports our customers’ and company’s objectives to provide a cohesive, end-to-end learning experience across all of Fin Academy’s offerings. Continually iterate on offerings to increase their impact on onboarding, feature adoption, and automation rate and to incorporate feedback from customers, partners, and cross-functional teams. What skills do I need? 8+ years of training experience with 3–5 years in a SaaS or tech environment; professional services and/or customer success experience required. Strong grasp of adult learning principles and best practices that underpin effective and supportive live training experiences. Proven content design skills with a track record of producing presentations and training that have clear information hierarchy, a relentless focus on driving customer action, and uses grounded examples to ensure concepts land. Able to understand and clearly communicate complex, technical concepts and the nuances of AI products. Strong executive presence with the ability to deliver compellingly to both large audiences and small groups. This includes an ability to present in high stakes situations with our largest customers and their senior management. Skilled at maintaining engagement with all audiences and adapting in the moment whether that's managing a derailed discussion, a difficult question, or an unengaged group. Superb program management skills, including stakeholder management, SME engagement, and end-to-end project management to lead large initiatives. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: United States What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Product & Technology Communications Lead to drive visibility for Nebius and our full-stack, purpose-built AI Cloud through impactful storytelling. This is an excellent opportunity for an experienced tech communications professional with strong relationships across tech trade media, new and creator-led media and podcasters, who loves to build. Reporting to the Vice President, Communications – US, you will create strategies, media plans and storylines, partnering closely with our Platform and Product Communications lead and collaborating with the broader Communications, Marketing and Product & Infrastructure teams. This is a hands-on role in which you will manage direct tech media relations in support of new product and infrastructure launches, as well as technology thought leadership and press-facing external speaking opportunities. We’re growing fast, and we need a motivated operator and team player, to turn the pace of our innovation into a clear, credible product and technology story, making sure builders, buyers, the media and influencers can see why it matters. This role is remote based on the West Coast, with a preference for the San Francisco Bay Area. Your responsibilities will include: Launch strategy and planning Develop the communications strategy and media plans for major product and platform launches and technology thought leadership Collaborate closely with the Product & Platform Communications, industry analyst relations and product marketing leads on messaging and storylines that differentiate Nebius in the crowded AI cloud market Map priorities and objectives to key results (OKRs) aligning with Communications leadership Capture and report on insights and measure results against target key results Technical storytelling and credibility Turn deep technical detail into messages and broader storylines that resonate with AI Native, Digital Native and enterprise tech companies. Identify and leverage claims and proof points that will resonate with key audiences , including customer outcomes, performance data, technical deep dives and open-source contributions Media, creator and ecosystem engagement Build relationships with technology, AI and developer media and co-creators on behalf of Nebius Pitch and place stories, run briefings and track what lands Prepare spokespeople for press briefings, interviews and speaking opportunities Support ecosystem moments such as conferences, partner and customer announcements We expect you to have: Strong recent experience in technology communications, product PR or a closely related field, and a track record of demonstrated results Demonstrated depth in AI, cloud and infrastructure, and the technical fluency to engage meaningfully with more technical press and our internal Product & Infrastructure team Exceptional writing and editing, shown through work that is clear, accurate and specific Proven relationships with relevant technology press, co-creator platforms and podcasters Sound judgment on claims, risk and timing. You know what to verify, what to escalate and when to say no Experience influencing stakeholders without formal authority It will be an added bonus if you have: You have worked at an AI lab, hyperscaler, AI cloud or fast-growing infrastructure company You know how to navigate matrix organizations effectively You ae accustomed to working across cultures, regions and time zones Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $121,100 — $151,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a Senior Backend Developer to join our rapidly growing team. This is an amazing opportunity to join Sumsub and make an immediate and real impact on the future of our product. Our Stack: Main language: Java 17 Java Framework: Dropwizard / Restler DB: MongoDB / ClickHouse / Redis Others: Apache Kafka / Kafka Streams / Elasticsearch / OpenSearch (k-NN) / Airflow What You Will Be Doing: Development of data processing algorithms related to remote identification / authentication of individuals (both product and technical). Improvement and development from scratch of internal tools for compliance officers. Test driven development and A/B testing. Optimization and automation of CI/CD pipelines to increase reliability and deployment speed. Monitoring, troubleshooting, and performance tuning of cloud infrastructure and distributed systems. About You: Good command of the English language Familiarity with our development stack Understanding of product and a passion for building software that provides a great experience Experience developing clean, high-quality code and automated tests to verify its operation Team player, strong communication skills, and empathy Demonstrated strong analytical and problem-solving skills What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Assignment -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $ 209,000 - 269,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction. What you’ll do As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to: Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection Mentor engineers across the Compute Platform teams and set the bar for operational excellence Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents What we look for Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler) Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar) Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits Cross-functional collaboration skills with platform, product, SRE, and capacity teams Demonstrated mentorship and technical leadership across teams Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs Qualifications 10+ years in software or infrastructure engineering with proven delivery of complex platform solutions 6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS) Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on Track record designing and enforcing standards across many teams without becoming a bottleneck Exceptional problem-solving and systems-thinking skills Demonstrated leadership and cross-functional influence Excellent communication skills Base Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Miami, Florida, United States Join Our Team We are looking for a Customer Support Specialist to join our Customer Support team. This role is ideal for a hands-on, customer-focused professional with problem-solving skills and a solid understanding of logistics processes (mainly ocean freight). You will thrive in a fast-paced environment, enjoy investigating and resolving complex issues, and be passionate about delivering exceptional customer experiences. What You'll Be Doing Support the daily activities of the Customer Support team. Ensure customer inquiries via email, chat, and ticketing systems are handled promptly and professionally. Assist with complex customer issues, platform-related challenges, and service disruptions. Investigate customer-reported problems, identify root causes, and coordinate resolutions with Product and Development teams. Monitor service quality and ensure high levels of customer satisfaction. Maintain accurate records of customer interactions and support activities. Collaborate closely with Sales, Operations, Product, Development, and IT teams to ensure seamless customer experiences. Support customers with Cargoo platform functionalities, troubleshoot issues, and provide effective solutions. Identify trends in customer feedback, recurring issues, and system performance to drive continuous improvement initiatives. Contribute to the development of knowledge base articles, best practices, and support procedures. Assist with initiatives that improve customer retention and overall customer satisfaction. Who We're Looking For: Experience in customer support, customer service or a comparable customer-facing role; experience in logistics, freight forwarding, supply chain or related industries is considered an advantage. Tech-savvy Strong communication and interpersonal skills with a customer-oriented mindset. Ability to communicate effectively with both technical and non-technical stakeholders. Strong organisational skills and attention to detail. Ability to manage multiple tasks and priorities in a fast-paced environment. Experience working with ticketing, CRM or customer support systems is considered an advantage. Ability to work independently and as part of a cross-functional team. Fluent English and Spanish, Portuguese is a plus. Equal Opportunity Employer CSA Global Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Work Authorization Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this role. Relocation/Travel Role is not pen to relocation and does not require travel. Ready to take the next step in your customer service leadership career? We would love to hear from you. Apply today and help us deliver outstanding customer experiences every day.

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business. We’re looking for a GTM Engineer to join Marketing and help transform how we work internally. You’ll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work. Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. The aim is to 10x our impact. This is a hands-on technical role in a marketing team. You’ll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You’ll partner closely with Marketing Operations to make sure what you build fits our existing tools and standards. You’ll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. You’ll bring a clear technical point of view on what is scalable and reliable, while making sure the systems you build are useful to the people who need them. HOW YOU’LL MAKE AN IMPACT FIND THE PROBLEMS WORTH SOLVING Work with teams across Marketing to understand their processes and the work behind their requests. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. You’ll use your creativity and judgement rather than simply build to a ticket. BUILD AI-ASSISTED WORKFLOWS AND INTEGRATIONS Create and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Work with Marketing Operations when a solution involves our marketing technology or channel tools. MAKE INTERNAL MARKETING WORK MORE EFFICIENT Build workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Connect information and tools so people spend less time on repetitive coordination and more time on work that needs their expertise. Partner with Marketing Operations where workflows touch marketing technology or channel execution. BUILD SYSTEMS PEOPLE CAN RELY ON Design beyond the individual task. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Identify where information is missing, where an agent needs better direction or where teams need support to use and improve the system. HELP MARKETERS BUILD WITH AI Work alongside marketers to show what is possible and help them use AI with confidence. Create reusable patterns, skills, playbooks and guardrails so teams can solve more problems themselves and repeat good practice. TEST, LEARN AND IMPROVE Prototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes. KEEP UP WITH THE TOOLS Stay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you’re comparing Claude, ChatGPT, coding agents or emerging platforms. WHAT WE’RE LOOKING FOR YOU BUILD THINGS You’ve made working automations, prototypes, integrations, agents, internal tools or products, and enjoy taking a messy problem through to something people can use. Your job title matters less than what you’ve built and the value it creates. YOU USE AI HANDS-ON You use LLMs to get work done, not just to talk about what they could do. You’re comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time. YOU HAVE SOUND TECHNICAL JUDGEMENT You can reason about systems, APIs, data flows, permissions and failure modes. You understand the difference between a promising demo and a dependable workflow. You don’t need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices. YOU UNDERSTAND MARKETING AND GTM You understand how demand generation, growth, customer marketing, marketing operations, sales and revenue processes connect. You’re familiar with concepts such as campaign briefs, segmentation, ABM, lead scoring, MQLs, MQAs, pipeline, attribution and lifecycle stages. You’re interested in the business outcomes behind the work. YOU’VE WORKED ACROSS MARKETING OR REVOPS TOOLS You’ve built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You can think across a stack rather than optimise one tool in isolation, and you’re comfortable with connectors, APIs, webhooks or MCP-style integrations. YOU KNOW HOW TO DESIGN USEFUL WORKFLOWS AND AGENTS You can give a workflow the context it needs, choose the right tools, define hand-offs, involve people at the right points and make outputs easy to review. You understand that an agent’s performance depends on its data and operating environment as well as the model. YOU PRIORITISE FOR VALUE You can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next. YOU MEASURE AND IMPROVE YOUR WORK You’re comfortable defining success measures, tracking usage and output, and deciding what to improve, stop or scale. You care about measurable gains in productivity, quality, speed or business impact. YOU THINK IN SYSTEMS You look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you’re curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship. YOU COMMUNICATE CLEARLY AND BRING PEOPLE WITH YOU You can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You listen well, communicate simply and influence through your work and judgement. YOU’RE CURIOUS AND SELF-STARTING You’re comfortable with ambiguity and motivated to learn. You’ve taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn. YOU USE AI RESPONSIBLY You understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale. You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. What matters most is your curiosity about marketing, your judgement about what is worth improving and your ability to build practical solutions. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Kyiv; Ukraine Workplace: Remote Ми — toogeza, українська рекрутингова компанія, яка допомагає технологічним компаніям по всьому світу знаходити таланти та будувати сильні команди. Саме люди визначають результат — і ми допомагаємо знаходити саме тих, хто здатен рухати бізнес вперед. Зараз ми допомагаємо шукати Partnership Manager, який/яка очолить напрям роботи зі спільнотою та допоможе розвивати нові стратегічні ініціативи AI HOUSE. AI HOUSE https://aihouse.org.ua/ — некомерційна організація, яка розбудовує найбільше AI-ком’юніті в Україні задля розвитку галузі штучного інтелекту, технологічного сектору в цілому та народження нових продуктових AI-стартапів. Для цього ми обʼєднуємо AI-спеціалістів на наших ініціативах, таких як: школи з машинного навчання, воркшопи та мітапи з лекторами-практиками, акселераційні програми; а також створюємо подкаст з лідерами індустрії та аналітичні дослідження під запити партнерів, які потребують глибшого розуміння стану ринку, його динаміки, запитів і потенціалу. Ми у пошуку Partnerships Manager, який/яка розвиватиме напрям роботи з партнерами AI HOUSE: від формування партнерської стратегії та залучення нових компаній до розвитку довготривалих відносин і пошуку нових джерел фінансування. Нам важливо вибудовувати системну співпрацю з компаніями, фондами, міжнародними організаціями та іншими представниками технологічної екосистеми, знаходити точки взаємної цінності й перетворювати їх на довгострокові партнерські моделі. Основні обов’язки 1. СТРАТЕГІЯ ТА РОЗВИТОК ПАРТНЕРСТВ - Формувати й реалізовувати стратегію розвитку партнерств AI HOUSE відповідно до цілей організації. - Визначати пріоритетні категорії партнерів, напрями співпраці та моделі їх залучення. - Розробляти довгострокові формати партнерства, які виходять за межі підтримки окремої події чи проєкту. - Формувати партнерські пакети для окремих ініціатив, а також комплексні пропозиції на квартал, пів року або рік. - Визначати рівні партнерства, фінансові умови, інтеграції, бенефіти та зобов’язання сторін. - Адаптувати пропозиції до цілей, потреб і можливостей конкретного партнера. - Готувати презентації, one-pagers, concept notes та інші матеріали для переговорів. - Формувати річний partnership pipeline, визначати цілі, пріоритети та ключові показники напряму. - Аналізувати результати партнерської роботи та вдосконалювати стратегію на основі даних і зворотного зв’язку. 2. ЗАЛУЧЕННЯ, РОЗВИТОК І СУПРОВІД ПАРТНЕРІВ - Проводити системний пошук потенційних партнерів в Україні та за кордоном. - Досліджувати їхні бізнес-пріоритети, технологічні фокуси, CSR/ESG-напрями та попередній досвід партнерств. - Формувати й підтримувати актуальну теплу базу потенційних партнерів та осіб, які приймають рішення. - Вести повний цикл залучення: від першого контакту й discovery-зустрічі до переговорів, погодження умов і формалізації співпраці. - Вибудовувати довірливі й довгострокові відносини з чинними партнерами AI HOUSE та новими. - Глибоко розуміти цілі партнерів, їхні очікування та критерії успішної співпраці. - Проводити регулярні синхронізації, підбивати підсумки та проактивно пропонувати нові формати взаємодії. - Координувати реалізацію партнерств разом із project-, event-, community- та communications-командами. - Перетворювати домовленості на чіткий внутрішній план із відповідальними, дедлайнами й очікуваними результатами. - Контролювати своєчасне та якісне виконання зобов’язань перед партнерами. - Координувати договори, рахунки, акти та інші документи разом з операційною і юридичною командами. - Готувати партнерські звіти та матеріали, які демонструють результати й цінність співпраці. - Вести централізовану базу партнерів, історію комунікації, домовленостей і результатів. - Відстежувати ключові метрики: обсяг залученого фінансування, конверсію pipeline, кількість нових і повторних партнерств, retention та рівень виконання зобов’язань. 3. ГРАНТИ ТА АЛЬТЕРНАТИВНІ ДЖЕРЕЛА ФІНАНСУВАННЯ - Моніторити грантові програми, конкурси та інші можливості фінансування, релевантні для AI HOUSE. - Оцінювати їхню відповідність цілям, фокусу, ресурсам та ініціативам організації. - Формувати й підтримувати актуальний pipeline грантових можливостей із дедлайнами, вимогами, бюджетами та наступними кроками. - Координувати внутрішню валідацію можливостей і прийняття рішення щодо участі. - Збирати необхідну інформацію від команди для підготовки заявок. - Формувати структуру заявки, бриф і технічне завдання для зовнішнього грантрайтера або фрилансера. - Координувати роботу зовнішніх спеціалістів, контролювати дедлайни, якість і відповідність заявки вимогам програми. - Допомагати у підготовці concept notes, описів проєктів, бюджетів та супровідних матеріалів. - Координувати подання заявок і подальшу комунікацію з грантодавцями. - У разі отримання фінансування — допомагати контролювати виконання донорських зобов’язань і підготовку звітності. - Самостійно готувати описи та повні грантові заявки — за наявності відповідної експертизи.     ПРО ТЕБЕ - Маєш від 2 років досвіду в partnerships, business development, fundraising або розвитку стратегічних проєктів. - Маєш підтверджений досвід залучення та розвитку партнерів — бажано в технологічній, освітній, громадській або стартап-екосистемі. - Умієш самостійно формувати partnership strategy, визначати пріоритети та переводити їх у конкретний план дій. - Маєш досвід ведення повного циклу партнерства: від пошуку й першого контакту до переговорів, підписання домовленостей, реалізації та продовження співпраці. - Умієш вибудовувати довірливі відносини з decision-makers і працювати з різними рівнями стейкхолдерів. - Упевнено проводиш переговори, презентуєш пропозиції та аргументуєш цінність співпраці. - Маєш сильні навички письмової комунікації та можеш готувати структуровані презентації, пропозиції, листи й аналітичні матеріали. - Проактивний/проактивна, дипломатичний/дипломатична та орієнтований/орієнтована на результат. - Комфортно почуваєшся в середовищі, де потрібно самостійно структурувати напрям, ухвалювати рішення та працювати з кількома пріоритетами одночасно. - Поділяєш інтерес до AI, технологій, освіти та розвитку української інноваційної екосистеми. - Вільне володіння українською мовою та рівень англійської B2. Буде перевагою: - Досвід роботи з технологічними компаніями, фондами, міжнародними організаціями або донорами. - Досвід залучення фінансування для некомерційних, освітніх або екосистемних проєктів. - Досвід підготовки або координації грантових заявок. - Досвід роботи з міжнародними грантовими програмами й донорською звітністю. - Власна мережа теплих контактів у технологічній, інвестиційній, корпоративній або донорській екосистемі.     ЩО ТИ ОТРИМАЄШ - Драйвову команду Ви долучитеся до амбітних і відкритих професіоналів, щоб разом ділитися ідеями й формувати майбутнє AI в Україні. - Гібридний формат роботи Можливість працювати з дому або з нашого затишного офісу біля Золотих воріт — обирайте комфортний для себе ритм і поєднуйте продуктивність із гнучкістю. - Інтеграція в технологічну екосистему України Ви зможете відвідувати профільні події, знайомитися з лідерами індустрії та ключовими стейкхолдерами, будуючи цінні професійні зв’язки всередині української tech-спільноти. - Політику відпусток, що дозволяє подбати про себе 21 день оплачуваної відпустки, короткострокові та довгострокові лікарняні, компенсаційні вихідні, декретні та батьківські відпустки та інші можливості — усе, щоб ви могли організувати своє життя відповідно до власних потреб. - Медичне страхування Комплексний пакет медичного забезпечення, включно зі стоматологією. - Підсилення вашої експертизи Ми зацікавлені у вашому зростанні — тому компенсуємо витрати на професійні курси та конференції. Ви також матимете доступ до всіх освітніх та бізнес-активностей Roosh, де ми залучаємо топових експертів із різних галузей для розвитку як hard, так і soft skills. - Фінансова підтримка в різних життєвих обставинах Ми підтримаємо вас і в радісні, і у складні моменти цього непередбачуваного життя. Якщо ця роль вам відгукується — будемо раді познайомитися! Надішліть, будь ласка, своє резюме та будь-які додаткові матеріали, які вважаєте релевантними. Ми розглянемо вашу заявку протягом п’яти робочих днів і, якщо ваш досвід відповідатиме тому, що ми шукаємо, зв’яжемося з вами, щоб домовитися про дзвінок і ближче познайомитися.

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200-250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Location: Berlin, Germany; Helsinki, Finland; London, United Kingdom - Deliveroo About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Role Overview We are seeking a versatile Tax Technology Manager to support our growing EMEA and beyond scope. This role connects tax, technology, and data — ensuring our systems and processes enable compliant, efficient, and scalable  across the region. The ideal candidate combines a strong understanding of indirect tax (particularly VAT and invoicing) with an ability to partner cross-functionally and translate tax requirements into smart, tech-enabled solutions. You don’t need to be a developer or automation engineer — but you must be able to see opportunities, shape solutions, and drive them to execution by partnering with tax, engineering, accounting, data ops, and automation teams etc. Key Responsibilities Lead and coordinate the implementation of tax-related technology solutions, ensuring compliance with new or changing legislation (e.g., invoicing, digital reporting, VAT mandates). Represent Tax in engineering, product, and finance initiatives — ensuring that new business rollouts and systems capture all relevant tax requirements. Partner with vendors and internal system owners to integrate and maintain compliance tools Support data governance and system control frameworks, ensuring audit (SOC) readiness, traceability, and documentation across tax technology systems. Drive standardization of tax processes and tools across entities and regions (Wolt, DoorDash, Deliveroo). Build strong partnerships with engineering, data, automation, and finance teams to ensure tax technology needs are prioritized and delivered effectively. Act as a bridge between tax and technology — translating regulatory and compliance requirements into actionable system and process specifications. Collaborate with local tax teams to ensure regional regulatory nuances are accurately reflected in the design and functionality of tax technology solutions. Identify automation and efficiency opportunities across tax processes and drive them from concept through delivery while collaborating with the automation and data ops to teams to develop scalable solutions.. Promote adoption and consistent use of tax technology solutions across regional and global tax teams. Provide training, documentation, and user support for new tools and processes. Champion a culture of continuous improvement — gathering feedback, measuring outcomes, and iterating on solutions post-implementation. Develop and maintain a joint roadmap with cross-functional teams, balancing strategic priorities and operational capacity. Ensure strong governance around tax technology initiatives, including change management, security, and compliance oversight. Qualifications & Experience Understanding of indirect tax (especially VAT), e-invoicing, and digital tax compliance frameworks in the EMEA region.  Understanding of other areas in tax such as Direct Tax, DAC7 etc. is a plus Understanding of commercial tax engines (ie Vertex) Proven track record of supporting or optimizing tax technology solutions in a multinational environment. Familiarity with data flows and ability to partner effectively with data and automation teams. Strong analytical mindset Project management experience Excellent communication and stakeholder management skills — able to explain complex tax technology topics to both technical and non-technical audiences. Accounting/tax qualification or relevant technology certification preferred. Understanding and display of using AI tools This role will require traveling dependent on where the employee is based. We anticipate a 25% travel rate if the candidate is based in either Helsinki or London. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Berlin, Germany; München, Germany Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair pay, transparent, stable compensation A strong fixed salary with clear rules. No bonus politics. Great work is rewarded openly and fairly. - Good food options, fresh, every day Enjoy subsidised meals/fresh food options in the office and regular refreshments like drinks, fruit, and snacks that keep you energized. - Life beyond work, hybrid work & real flexibility Three days in the office and the rest where it works best for you. Take time off when you need it with paid vacation days above statutory and flexible scheduling. - Grow with Knuspr every day - we move fast, and so can you. Learn, experiment, and take ownership from day one. Every challenge is a chance to grow. - Recognition & community - Your impact is seen and appreciated. You can celebrate colleagues through Bonusly peer-recognition credits and feel supported by a team that works hard and wins together. - Health & wellbeing - Access to our UNIQA private insurance option and supportive wellbeing culture, keeping you healthy inside and outside of work. - Mobility & convenience - Company car available for selected management-level roles and fuel support for regular WH travel. - Premium membership - Free Knuspr Premium membership with exclusive benefits. - Referral rewards - Recommend great people and get rewarded through our group referral program. - Team spirit - We organize team events, celebrations, and moments to connect because work is better when we win together. #LI-ML1 #Knuspr

Location: Prague, Czech Republic; Group career pages Workplace: Hybrid At Rohlik Group, we are building the future of e-grocery for over a million active customers across the Czech Republic, Germany, Austria, Hungary, and Romania. We own our entire technology stack — from storefronts and apps to automated fulfillment centers and last-mile logistics. Within the Customer Experience (CUEX) domain, we own every touchpoint a customer interacts with, from the homepage to checkout and real-time order tracking across web, iOS, and Android. Our five storefronts run on a single product spine with localized content, pricing, and brand layers. We operate as a deliberately tight-knit, high-performing team where a Product Owner, Engineering Manager, Tech Lead, two Product Designers, and a dedicated full-stack engineering team ship fast, iterate constantly, and take full ownership of the end-to-end user journey. Most interface failures in e-commerce aren’t layout issues — they are communication problems: what is said, in what order, and on which screen. As Senior Product Design Engineer, you will own the end-to-end design of all customer-facing surfaces across five markets. You will also manage our design system, Maia (our AI shopping assistant), and provide the design guidance that powers our automated coding workflows. WHY THIS ROLE IS EXCITING - High-impact Group scope: Design every customer-facing touchpoint across web, iOS, and Android for five international markets, impacting millions of orders. - True end-to-end ownership: Lead the complete lifecycle of product design — from initial problem definition and customer research to shipped A/B tests and real-world performance analysis. - AI-first execution: Rohlik is an AI-first company. You’ll own the interface design for Maia, our AI shopping assistant, and build the structured design system guidance used by AI coding agents to generate on-brand code without hand-coding interfaces. - Direct customer engagement: Lead user research and usability testing sessions directly with real shoppers, rather than commissioning external agencies or receiving filtered insights. - High accountability, low overhead: Work in a small, autonomous team where design decisions move straight to production and work that doesn't deliver measured impact is honestly reverted. WHAT YOU WILL OWN AND DELIVER - Customer Surfaces: Own the end-to-end design and UX strategy across web, iOS, and Android for all core journey stages: homepage, search & browse, product pages, basket, slot selection, checkout, and order tracking. - Design System as a Product: Own component architecture, design tokens, patterns, and documentation, ensuring our coding agents have precise design guidance to generate accurate interfaces. - AI Experience Design: Define the interaction patterns for Maia (our AI shopping assistant), governing when it intervenes, how it presents information, and how it hands over to human support. - Experimentation & Analysis: Drive hypotheses, prototype rapidly, and evaluate A/B test results objectively — scaling successful experiments and sunsetting features that miss target performance. - Direct User Research: Conduct qualitative interviews, usability tests, and field research directly with customers to continuously uncover friction points. - Cross-Functional Partnership: Collaborate closely with the Product Owner, Engineering Manager, Tech Lead, and your peer product designer, while providing design input to Commercial, Marketing, and Operations. WHAT WE ARE LOOKING FOR - 5+ years of experience designing consumer-facing digital products with a strong portfolio of shipped work across both web and native mobile (iOS and Android). - Advanced Figma & Design System expertise: Deep, hands-on experience building, scaling, and architecting multi-platform design systems at the token and component level. - Data-fluent mindset: Ability to read and rigorously interpret A/B testing data, distinguishing genuine impact from vanity metrics. - Fluency with AI tooling: Practical experience integrating AI tools into modern design, prototyping, and design system workflows, along with a clear view of where conversational AI adds real interface value. - User research expertise: Demonstrated experience designing, running, and analyzing qualitative usability sessions directly with end users. - Strong product reasoning: Excellent communication skills in English (C1 level or above), with the ability to articulate the strategic and behavioral rationale behind design decisions. Nice-to-haves: - Experience designing production-grade AI or assistant-driven interfaces. - Experience contributing directly to code at the component or token level. - Background in e-commerce, quick-commerce, online grocery, or last-mile delivery. - First-hand familiarity with how German customers shop. - Fluency in German or Czech. WHAT’S IN IT FOR YOU - Fair reward - You’ll get a strong fixed salary, no bonus games, no politics. Great work is rewarded clearly and fairly. - Good food every day - You’ll enjoy a free lunch every day and fresh fruit & veggies in the office. Because good food fuels great work. - Life, not just work - You’ll have real flexibility three days in the office, 2 days at the Home Office where it suits you. And unlimited paid vacation based on trust. - Personal growth - You’ll grow as fast as Rohlik does. Every challenge is a chance to learn and make an impact. - Real impact - What you do here matters. You’ll see your work changing how people eat and live from day one. - Recognition among colleagues - Your effort won’t go unnoticed. You can recognise others (and be recognised) through peer credits to use in our internal cafeteria. - Xtra membership - You’ll get free Xtra membership and 10% cashback on everything you buy on Rohlik.cz http://Rohlik.cz. - Sport & wellbeing - You’ll stay active with company sports challenges or a subsidised Multisport card. - A team that sticks together - You’ll work with people who move fast, support each other and celebrate wins together. - If this sounds like you - You’re someone who takes ownership, acts fast and gets things done. Ready to bake something great with us? #LI-ML1

Location: Москва Workplace: Гибридный О компании Мы находимся в поисках Технического руководителя по исследованию данных (Data Science). Вы будете развивать команду Больших данных и ИИ в продукте CVM B2B. Обязанности Управлять командой до 15 человек; Реализовывать функционал RoadMap продукта по поставке данных, разработке/развитию ML-моделей в рамках контекста B2B продаж и клиентского сервиса; Заниматься формированием аналитического профиля B2B и подложек для ML-моделей для скоринга продуктов и услуг B2B экосистемы МТС. Требования Опыт работы в роли Data Science от 5 лет; Опыт управления командой от 3 лет; Опыт построения ML-моделей; Опыт работы со стеком: Python, SQL, Pandas, NumPy, scikit-learn, PyTorch Hadoop, Hive, NiFi, GreenPlum, ClickHouse, Apache Spark, Apache Airflow. Условия собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров. полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); прием врачей общей практики и массаж в офисе; мобильная связь за счет компании и льготные тарифы для близких; подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.