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Location: Remote - US; Boston, MA; New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: This role can be based remotely in the U.S. Ideally SF, NYC, or Boston. LangChain is building the infrastructure that powers the next generation of AI applications. Our tools are used by thousands of developers and teams to build, debug, and ship production-grade LLM-powered products. As our product surface area grows, so does the need for a cohesive, scalable, and high-quality UI foundation. That’s where Design Systems comes in. We’re looking for a Design Systems Engineer to help build, own, and evolve LangChain’s component library—the foundation that our frontend teams rely on to ship fast without sacrificing quality, accessibility, or consistency. This role sits at the intersection of Design and Engineering. You’ll work closely with designers, product engineers, and platform teams to turn design intent into robust, reusable components and tooling that scale across the product. You’ll have ownership, influence, and your work will be directly consumed across LangChain’s products. WHAT YOU'LL DO: - Build out LangChain’s component library - Design and implement reusable, composable React components that are flexible, accessible, and production-ready - Partner closely with designers to translate design systems, tokens, and interaction patterns into code - Build reliable UI quality systems - Develop design system tooling and improve workflows around theming, tokens, versioning, testing, and component discovery (e.g. Storybook) - Make thoughtful architectural decisions that enable accessibility, performance, consistency, and maintainability across LangChain’s UI stack - Improve UI build and test workflows - Optimize build performance, bundling strategy, and package versioning for the component library - Maintain tooling for testing, dependency management of the UI app WHAT YOU'LL BRING: - Extensive experience building modular, composable, and well-documented component libraries and/or design systems - Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.) - Experience collaborating closely with designers and non-engineering partners - Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design - Familiarity with testing UI components and visual regression testing Annual salary range: $180,000 - $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. We’re looking for a hands-on IT Infrastructure Engineer to help scale Sierra’s internal systems during a critical period of growth. You’ll be the second member of our IT Engineering team, partnering closely with our IT Lead, GRC Lead, and Platform Engineering team to build and operate the systems that support our company day-to-day. This is an engineering-first role. Our team approaches IT the same way product engineering teams build software: through code, automation, and well-designed systems. We build internal tools, ship integrations, and operate CI/CD-style workflows to manage identity, security, and infrastructure at scale. This is a foundational role with significant ownership. You’ll help design and implement core infrastructure, strengthen security controls, and improve how we operate internally. The right person enjoys building high-leverage systems, automating repetitive work, and creating well-documented, scalable solutions that make the entire company more effective. WHAT YOU'LL DO In your first few months, you’ll focus on: - Iterating on and improving internal tools that power IT and security workflows - Deploying a DLP solution and integrating it into automated enforcement pipelines - Building API-driven integrations between internal systems and our compliance automation platform More broadly, you will: - Design and scale internal infrastructure using code and infrastructure-as-code practices - Build and maintain internal tools and services - Improve and develop automation pipelines for provisioning, access management, and security controls - Treat IT systems like software: versioned, tested, and continuously improved - Partner with Platform Engineering and Security to implement scalable, programmatic solutions - Create clear, durable documentation to support long-term scalability WHAT YOU’LL BRING - Think of IT problems as engineering problems, and default to building over manual work - Have strong experience with identity platforms (Okta, Google Workspace, SSO, MFA, SCIM, OIDC) - Have deployed or managed DLP or related security solutions (e.g., ZTNA, Cloudflare) - Have extensive experience with IaC (Terraform) - Are comfortable writing code for automation (e.g., Python, Bash, or similar) - Have experience building internal tools or services that integrate via APIs - Are comfortable working with CI/CD concepts and automation pipelines - Are fluent in using and administering modern AI tooling - Understand SaaS lifecycle management and compliance requirements - Communicate clearly and document your systems well - Are comfortable operating independently in a fast-moving environment EVEN BETTER... - Background in software engineering or prior experience on a product engineering team - Experience building internal platforms or developer tooling - Familiarity with security tooling such as CASB, EDR, or MDM - Experience with access audits, data residency, or compliance controls - Experience deploying systems using AWS and infrastructure-as-code OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO As an IT Support Specialist in New York, you'll be the hands-on, on-the-ground owner of day-to-day IT for one of our fastest-growing offices. You'll be the first person teammates turn to when something isn't working, and the person who makes sure hardware, conference rooms, and the office network simply work. This is a role for someone who thrives in execution mode and enjoys solving problems quickly and efficiently. Your responsibilities will include: - IT Support: Serve as the first line of defense for employee IT issues in New York, with deep focus on macOS troubleshooting, application support, and network connectivity. - Global Support Queue: Share responsibility for Sierra's global IT helpdesk queue during your regional working hours: triage new requests, resolve issues across offices, keep ownership clear, coordinate escalation, and provide clean cross-time-zone handoffs. - Technical User Support: Support engineers and other highly technical teammates with curiosity and confidence, using logs, command-line tools, and clear written communication when appropriate. - AI-Assisted Troubleshooting: Use approved AI tools thoughtfully to accelerate research, hypothesis generation, and documentation while protecting sensitive data and independently validating consequential recommendations. - Hardware Management: Own the full device lifecycle locally—procurement, deployment, inventory tracking, loaner pool oversight, and device re-provisioning for offboarded users. - AV & Conference Rooms: Keep every room meeting-ready. Maintain and troubleshoot conference room AV, proactively test rooms, and own the peripheral and accessory inventory. - Office Build-Out & Moves: Partner with Facilities, our project managers, and AV integrators to spec, stage, and commission IT and AV for our new New York space, and support the move from our current location. - Network & Vendor Coordination: Triage office network and connectivity issues, then drive them to resolution with our ISP, network, and building vendors. - IT Onboarding: Set up laptops and essential software for new hires, delivering a seamless first-day experience. - SaaS Administration: Handle routine administration in Okta, Google Workspace, and other core applications, including users and groups, app assignments, access changes, licensing, and basic audit-log review. - IT Projects: Take on well-scoped endpoint, SaaS, access, inventory, or workplace technology projects with clear success criteria, appropriate review, testing, documentation, and rollback planning. - Process Improvement: Look beyond the immediate ticket, respectfully challenge inefficient or fragile practices, propose practical improvements, and help implement and document better ways of working. - IT Logistics: Support software installs, device shipments to East Coast teammates, repair and warranty coordination, and proactive hardware refresh planning. WHAT YOU’LL BRING - Experience: 2-5 years in hands-on IT support or systems administration, with strong macOS experience in a fast-paced or startup environment. - Technical Proficiency: Comfort with endpoint management and MDM systems (e.g., Jamf), identity tooling (e.g., Okta), and troubleshooting across Mac hardware and software. - SaaS Foundations: Hands-on experience with basic Okta, Google Workspace, or comparable SaaS administration and a desire to grow into broader systems ownership. - Engineering Environment: Experience supporting engineers or other highly technical users, or clear evidence that you can communicate credibly, work from technical evidence, and learn unfamiliar systems quickly. - Troubleshooting Judgment: A structured, hypothesis-driven approach; strong follow-through; and the judgment to recognize uncertainty, seek review, or escalate before a risky change. - Queue Ownership: Able to manage competing requests in a shared global queue, communicate priorities, maintain accurate status, and carry issues through resolution or a clear handoff. - Continuous Improvement: Curious about why work is done a certain way and comfortable constructively challenging the status quo with specific, practical recommendations. - AV & Network Fluency: Practical troubleshooting of conference room AV and office networking fundamentals—Wi-Fi, DHCP, VLANs—and the judgment to know when to escalate to a vendor. - Organization: Highly organized with a systems-oriented mindset—able to track devices, accessories, and inventory accurately across multiple offices. - Execution Focused: Bias for action and the ability to troubleshoot, solve problems, and follow through without constant direction, while knowing when to seek review or escalate. - Communication: Friendly, clear communicator who can help teammates quickly and patiently—whether they're in-office or remote. - Work model: This role is based in our New York office, with in-office work Monday through Thursday and remote work on Fridays. EVEN BETTER… - Experience supporting an office build-out, relocation, or new-site commissioning from the IT and AV side. - Familiarity with Zoom Rooms and hardware such as Neat, Logitech, or Poly. - Past experience with Apple Business Manager or zero-touch deployment tools. - Passion for documentation, process improvement, and enabling others to solve simple issues themselves. - Change-Control Exposure: Familiarity with version control, peer review, staged rollout, rollback planning, infrastructure or configuration as code, or other disciplined change practices. - Automation: Experience using APIs, scripts, Terraform, or similar tools to make routine administration safer and more repeatable. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Reliable workplace technology enables teams to do their best work. This role focuses on maintaining and improving that reliability across devices, collaboration systems, and workplace technology environments. The Workplace Technology Support Engineer - Executive Support helps maintain the stability, performance, and continuous improvement of workplace technology across the organization, with a main focus on our executive leadership team. This will serve as the main point of contact for issues in the executive space. The role will need to be available to travel to support events, shows, presentations, and calls. You'll work closely with platform engineering, security, networking, and other internal teams to diagnose advanced issues, maintain operational standards, and translate recurring problems into scalable solutions through standardization, documentation, automation and AI-assisted operational improvements! Effective from the date that Hasbro opens its new Boston location, this position will be onsite Monday – Friday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Monday – Friday at Hasbro’s HQ in Pawtucket, RI. What You'll Do Executive Support Primary technology support resource for executives and senior leadership, delivering responsive, high-touch technical support across office, remote, and travel environments. Provide white-glove support for executive workstations, laptops, mobile devices, collaboration platforms, and workplace technologies while maintaining exceptional customer service and professionalism. Prepare, test, and support executive presentations, conference rooms, audiovisual systems, and collaboration technologies before and during executive meetings, board meetings, town halls, and other high-visibility business events. Provide onsite technology support for executive meetings, leadership events, and company presentations, ensuring technology operates reliably with minimal disruption. Travel will be required to support executives at corporate offices, leadership meetings, conferences, board meetings, company events, and other business engagements. Partner closely with Executive Assistants, Facilities, Security, Audio Visual teams, and Workplace Technology teams to coordinate technology requirements and deliver seamless executive experiences. Resolve complex executive technology issues involving endpoint devices, mobile devices, conferencing platforms, audiovisual systems, networking, and workplace technologies with urgency and discretion. Maintain strict confidentiality while supporting executive devices, meetings, communications, and sensitive business information. Anticipate executive technology needs by proactively validating equipment, meeting spaces, presentations, and collaboration technologies prior to critical meetings and events. Act as the primary escalation point for executive technology issues, balancing executive priorities with broader operational responsibilities while maintaining a high level of responsiveness. Workplace Technology Support Partner with stakeholders across the organization to understand business needs, explore new ideas, and help design practical technology solutions that improve productivity and workplace experience. Provide guidance and recommendations that help teams implement effective, scalable solutions and automation opportunities aligned with workplace technology standards, including specialized or non-standard use cases. Provide in-person and remote technical support for employees across the organization covering the United States, Canada, UK, India, and Japan. Resolve complex issues involving devices, operating systems, computer hardware, mobile devices, VPN connectivity, printers, networking, peripherals, AI-powered workplace tools and workplace technologies that extend beyond standard support workflows. Advanced issue resolution for the Global Service Desk, shaping global processes and procedures, and establishing documentation and runbooks that drive consistent procedure and practices across regions. Investigate advanced issues, act as a point of contact for complex problems, provide technical guidance, identify recurring issues and automate resolution while focusing on improving resolution quality. Deliver clear communication and practical automation-focused solutions that help employees stay productive. Support and solve enterprise AI platforms and AI-enabled workplace technologies, raising issues and partnering with engineering teams when necessary. Endpoint Reliability & Device Lifecycle Design, configure, and support complex or custom hardware builds to meet specialized performance and workflow requirements, particularly for engineering and digital gaming studio environments. Proactively monitor endpoint health and analyze trends in device performance, reliability, and recurring issues to drive improvements through automation where appropriate. Drive improvements to standardize workflows and implement automation, scripting, and AI-assisted solutions to improve consistency, reduce manual effort, and enhance operational effectiveness. Configure, deploy, and maintain company equipment, including laptops, desktops, and mobile devices, to ensure they meet security, compliance, and operational standards. Support device lifecycle activities including provisioning, upgrades, hardware replacements, and secure decommissioning. Maintain consistency in supported hardware, operating systems, and workplace technology standards. Lead long-term improvements by addressing root causes and implementing scalable automation-enabled solutions. Collaboration & Workplace Technology Partnerships Partner with teams, including our digital gaming studios, to understand requirements and deliver reliable and scalable workplace technology solutions, including onboarding new processes and procedures, supporting specialized workflows, providing consultation on hardware, software, and user experience solutions, and aligning technology solutions to business goals and technical standards. Support conference room systems, collaboration tools, printers, and workplace peripherals used across office environments. Ensure workplace technology systems operate reliably for meetings, events, and day-to-day collaboration. Support offsite events and shows as needed (travel required). Assist teams in onboarding to new technologies, processes, and procedures by providing guidance, documentation, and hands-on support to ensure successful adoption. Build strong partnerships across business teams to understand evolving needs and help translate ideas into scalable workplace technology solutions. Act as a liaison between end users, Global Service Desk, and engineering teams to support change, improvements, and adoption of new technologies. Support internal partners in bringing their ideas to life by providing guidance on process, procedure, and alignment with existing systems. Support technology rollouts, device refresh initiatives, automation initiatives, and workplace experience improvements. Provide feedback to engineering and platform teams to improve the usability, reliability, and performance of workplace systems. Cross-System Ownership Take ownership of complex or high-impact issues, leading investigation and resolution across multiple technology domains. Investigate and resolve issues that span multiple technology layers including endpoint configuration, device management platforms, authentication systems, VPN and network connectivity, and workplace infrastructure. Recognize patterns across incidents and identify when issues represent broader systemic challenges. Drive coordination with engineering, security, and infrastructure teams to implement durable fixes. Operational Improvement, Documentation & Automation Identify recurring issues, trends, and inefficiencies, and translate them into standardized solutions, improved workflows, or automation opportunities. Design and drive scalable support approaches, including repeatable workflows, playbooks and automated processes, that improve consistency and enable broader teams to resolve issues effectively. Maintain and evolve these playbooks based on recurring issues, ensuring knowledge is continuously refined and shared across support teams. Create and maintain clear, structured documentation in Confluence, including troubleshooting guides, operational procedures, and knowledge base articles. Partner with the Global Service Desk to share knowledge, improve workflows, identify automation opportunities and increase overall support effectiveness. Promote consistent support practices and ensure alignment in how common issues are handled across teams through standardized workflows and approaches. Assist in evaluating, testing, and validating automation solutions, endpoint analytics tools, and AI-assisted support and troubleshooting capabilities. Proactively improve support operations by reducing manual effort and increasing consistency across common issue types. What You'll Bring Experience in the dedicated Executive Support space 3+ years of experience supporting enterprise desktop environments or workplace technology systems. Experience with Windows and macOS operating systems, including hardware, peripherals, and mobile device support. Experience supporting collaboration tools, productivity platforms, and workplace technology environments. Familiarity with endpoint management tools or enterprise IT management platforms. Working knowledge of networking fundamentals including DNS, Wi-Fi, VPN connectivity, and authentication workflows. Experience using service management platforms such as ServiceNow or similar tools. Ability to analyze sophisticated technical issues, identify root causes, and communicate solutions clearly. Strong documentation skills and a history of creating runbooks, playbooks, or knowledge base articles. Experience identifying trends, improving processes, or building automation initiatives is preferred. Core Requirements Demonstrates strong diagnosing and problem-solving skills across workplace technology environments, including hardware, operating systems, and network connectivity. Owns complex technical issues through resolution, including cross-team coordination when required. Owns the reliability and consistency of endpoint and workplace technology systems. Identifies patterns, trends, and opportunities for improvement, including automation and process optimization. Produces clear documentation and knowledge resources that enable scalable support and knowledge transfer. Collaborates effectively across teams while maintaining accountability for outcomes. In compliance with local law, we are disclosing the compensation range for this role. The range listed is just one component of Wizards of the Coast’s total compensation package for employees. Employees may also be eligible for annual and long-term incentives. In addition, Wizards of the Coast provides a variety of benefits to employees. Here’s a look at what your benefits package may include: Medical, Dental & Vision Insurance, Paid Vacation Time & Holidays, Generous 401(k) match, Paid Parental Leave, Volunteer Program, Employee Giving & Matching Gifts Programs, Tuition Reimbursement, Product Discounts, and more. Wizards is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $91,100 — $136,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Menlo Park Workplace: Hybrid Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: New York Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Switzerland; Geneva; Zurich Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices.   What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across Switzerland. - Excellent English skills are required, German and/or French is strongly preferred.   Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps.

Location: Zurich; Geneva Workplace: Hybrid Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We are seeking a Technical Solutions Consultant (Pre-Sales), a customer-facing technical expert responsible for helping financial institutions evaluate, design, and adopt Blockstream's enterprise software solutions. Operating within the Consulting Services organization, the Solutions Engineer partners closely with Enterprise Sales, Product Management, Engineering, and Delivery teams to support the customer journey from technical discovery and solution architecture through product demonstrations, Proof of Concepts (PoCs), and technical validation. This is not a traditional pre-sales role. You will spend significant time working directly with customers, often onsite, understanding their business, technical, and regulatory requirements, designing enterprise-grade solutions, and acting as a trusted technical advisor throughout the sales cycle. You will help financial institutions understand how Blockstream's products solve complex business challenges while ensuring proposed solutions are scalable, practical, and aligned with customer needs. What You'll Be Doing (Responsibilities): Customer Engagement & Technical Sales - Partner with Enterprise Sales to support strategic opportunities across financial institutions. - Lead technical discovery workshops to understand customers' business, operational, regulatory, and technical requirements. - Build trusted relationships with customer stakeholders, including CIOs, CTOs, Enterprise Architects, Operations, and Engineering teams. - Deliver compelling product demonstrations, technical presentations, and solution walkthroughs. - Support Proof of Concepts (PoCs), solution validation activities, and technical evaluations. - Serve as the primary technical advisor throughout the sales process. Solution Design & Architecture - Design end-to-end solution architectures leveraging Blockstream's enterprise software products. - Translate customer requirements into scalable technical solutions and implementation approaches. - Define solution assumptions, integration approaches, deployment models, and technical dependencies. - Collaborate with customers to identify implementation risks and recommend best practices. Commercial & Deal Support - Lead or contribute to responses for RFPs, RFIs, technical questionnaires, and security assessments. - Support commercial discussions by providing technical expertise and solution positioning. - Help package Blockstream products into repeatable enterprise offerings, demonstrations, and implementation approaches. - Clearly communicate the value proposition and differentiators of Blockstream's products. Cross-Functional Collaboration - Partner with Product Management, Engineering, Security, Delivery, and Consulting teams. - Feed customer and market feedback back to Product Management. - Help improve demos, technical collateral, reference architectures, and solution playbooks. - Contribute to repeatable implementation methodologies and sales enablement materials. What We Look for In You (Required Qualifications): - 5-8 years of experience in Solutions Engineering, Sales Engineering, Solution Architecture, Technical Consulting, or Enterprise Software Pre-Sales. - Experience supporting enterprise software sales within banking, financial services, fintech, or technology infrastructure environments. - Strong understanding of enterprise software architecture, APIs, integration patterns, cloud technologies, and modern software deployment models. - Experience designing end-to-end enterprise solutions for complex customer environments. - Strong presentation, communication, and storytelling skills, with the ability to explain complex technical concepts to both business and technical audiences. - Experience delivering customer workshops, technical demonstrations, and executive presentations. - Experience supporting RFPs, RFIs, technical proposals, and solution validation. - Ability to work collaboratively across Enterprise Sales, Product, Engineering, Consulting, and Delivery teams. - Self-starter with proven ability to manage multiple customer engagements while delivering a high-quality customer experience. - Willingness to travel regularly to customer locations across Switzerland. Languages - Excellent English skills required. German and/or French strongly preferred. Italian is also considered a strong advantage. Location We are hiring for Switzerland (Zurich or Geneva) Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, including private banking, wealth management, custody, payments, treasury, or capital markets. - Background in blockchain, Bitcoin, digital assets, tokenization, or fintech. - Knowledge of core banking platforms, financial market infrastructure, or enterprise integration technologies. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience in enterprise software organizations serving regulated industries. - Track record of feeding customer and market feedback into product strategy.

Location: Morocco Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The Senior Global Health Security (GHS) Advisor will support the Moroccan Ministry of Health and Social Protection Department of Epidemiology and Disease Control (DELM) in carrying out life-saving health assistance in full alignment with the U.S. Presidential Executive Order (EO) directives.  The primary focus of the Advisor will be technical support with a special emphasis on preventing, detecting, and responding to emerging infectious disease threats which impact public health. The Senior GHS Advisor will support a One Health (the intersection of human, animal, and environmental health) approach among multi-sectoral Government Departments and Agencies - such as the Ministry of Health, Agriculture, and Environment- for the effective adoption and implementation of life saving interventions focusing on preventing, detecting and responding to emerging infectious disease threats with public health potential.  The Senior GHS Advisor will identify programmatic bottlenecks and facilitate solutions through coordinated technical support and facilitation of effort through GHS projects. The Senior GHS Advisor will be based within the Ministry of Health and Social Protection.  The advisor will receive direction from the appropriate Ministry staff, who will serve as the onsite Manager/Supervisor.  Familiarity with USAID/Department of State programming and C/AOR experience are highly desirable as the advisor is expected to support the implementation of the GHS portfolio.  The advisor will report to the U.S. Department of State on a weekly and monthly basis. Responsibilities With input from the Moroccan Ministry of Health and Social Protection, GHS envisions two Senior GHS advisors will support the Ministry under this program.  The profile of each advisor is as follows: An expert in epidemiology and public health, responsible for improving human health outcomes in line with a One Health approach, which includes enhancing multisectoral coordination to detect, respond, and mitigate the health security threat of high-risk zoonotic diseases with human epidemic potential. The advisor will be responsible for the interpretation of epidemiological trends, as well as the development of reports, summaries, and bulletins; An expert in management and monitoring-evaluation, responsible for supporting the monitoring and evaluation of performance indicators related to emerging infectious diseases, the establishment of dashboards, gap analysis, and the strengthening of steering and reporting tools. In addition to these areas of expertise, the advisor will also have the following responsibilities: Support multisectoral ministries in effective delivery of life-saving health assistance through utilization of domestic and donors’ resources (e.g., Global Fund). Assist the relevant ministries with effective delivery of LHA GHS services, including but not limited: community-based active surveillance, systems capacity for detecting priority diseases/threats, data systems for monitoring, analyzing, and reporting on threats, infection prevention and control (IPC), including commodities and WASH in healthcare facilities, case management, including Emergency Management including Emergency Operating Centers (EOC) and Point of Entry Screening, Risk Communication and Community Engagement, Emergency outbreak response. Provide technical support and actively engage with field work to implement programmatic and response interventions at national and sub-national levels. Assist in monitoring the progress of GHS program implementation and provide recommendations for improvements in service delivery. Review and analyze performance reports submitted to the Global Fund (GF), and other partners. Help organize regular discussions among the multisectoral stakeholders and partners to ensure alignment of technical approaches in the respective GHS portfolio. Provide support to the appropriate multisectoral ministries in identification of performance gaps, potential barriers and bottlenecks, and facilitate consensus on targeted interventions to improve performance on key indicators attributable to: A reduction in incidence and mortality for epidemic and pandemic prone diseases. Strengthening systems to prevent, detect, and respond to infectious disease threats. Rapid and effective responses to infectious disease outbreaks posing a threat to public health. Support the implementation and expansion of best practices in GHS and outbreak response nationwide. Support MoHP and other relevant Ministries in routine review of service delivery processes and outcomes. Promote the dissemination of best practices and effective models nationwide. Promote prioritized interventions in effective community-based active surveillance, strengthening systems capacity for detecting priority diseases/threats, and data systems for monitoring, analyzing, and reporting on threats. Support the adoption of infection prevention and control (IPC), including commodities and WASH in healthcare facilities, and case management. Support and strengthen Emergency Management including Emergency Operating Centers (EOC) and Point of Entry (POE) screening; risk communication. Support the relevant Ministries to rapidly and accurately report infectious diseases threats to the relevant, domestic and international system– such as the International Health Regulations (IHR) 7-1-7 Outbreak Response Model and World Animal Health Information System (WAHIS) for quick responses to pandemic threats. Assist the relevant multisectoral Ministers in emergency outbreak responses as needed. Assist the relevant multisectoral Ministries to achieve the relevant GHS-related targets including the Joint External Evaluation (JEE); IHR States Parties Self-Assessment (SPAR); and the Pandemic Fund Framework which includes reporting on the 7-1-7 target (7 days to detect, 1 day to report, 7 days to complete the initial response) Support the relevant Ministries in effective utilization of Pandemic Fund grants, other donors’ resources, and emergency outbreak responses efforts. Provide technical support to develop Pandemic Fund grant applications and support grant implementation review to ensure effective grant implementation and avoid duplication with US Government funded projects. Consult relevant stakeholders on required technical assistance. Assist in monitoring the progress of grant implementation. Review and analyze performance reports submitted to the Pandemic Fund and other partners. Help organize regular discussions among the relevant multisectoral stakeholders, Ministries, and donors, and State to ensure alignment of technical approaches in the respective GHS portfolios. Support emergency outbreak response including assisting with mobilizing resources, coordination of efforts, and technical support for efforts to contain and respond to the outbreak. Communications: Participate in regular conference calls with multisectoral stakeholders, U.S. Embassy and GHSD Washington to review progress, discuss activities and address emerging issues. Provide information and avail him/herself for calls/meetings with the U.S. Embassy as requested. Provide monthly reports to US Embassy/U.S. Department of State. REPORTING: The Senior Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month.  Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week. Qualifications Advanced Degree: A master’s or doctoral degree in public health, epidemiology, global health, medicine, or a related field. At least 7 years in global health security, infectious disease prevention and control, or health systems strengthening. Proven ability to lead teams, manage complex projects, and coordinate with multiple stakeholders, including government agencies, donors, and implementing partners. Demonstrated expertise in areas such as: disease surveillance and outbreak response, laboratory systems strengthening, risk communication and community engagement. At least 5 years of USG experience as well as partners management. Proven ability to provide high-level technical advice to government officials, international organizations, and other stakeholders. Experience managing complex health programs, including planning, implementation, monitoring, and evaluation. Ability to establish and maintain effective working relationships with government officials, donors, NGOs, and community organizations. Strong ability to work with diverse stakeholders, including government agencies, donors, NGOs, and multilateral organizations. Strong written and verbal communication skills in English and French. Proficiency in Arabic/Darija preferred. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence, including on-premise, disconnected, and air-gapped deployments. As an AI Deployment Strategist on this team, you will drive the adoption and deployment of Mistral's AI solutions inside sovereign institutions and critical infrastructure, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, under real operational, security, and compliance constraints. You will partner with senior leaders and mission owners to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to projects with significant societal, operational, and strategic impact. WHAT YOU WILL DO Strategic Discovery & Vision Setting - Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter. - Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives. AI Solution Design & Deployment - Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped). - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact. - Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success - Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. - Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. - Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration - Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps. - Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings. - Travel (~30-60%) to foster deep client relationships and support on-site deployment. HOW WE WORK IN SOLUTIONS - We care about people and outputs. What matters is what you ship, not the time you spend on it. - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before. - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales). - A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. - Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. - Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. - Comfort operating under security, compliance, and confidentiality constraints. - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling is a plus. - Experience deploying AI in regulated or sovereign environments (defense, public sector, critical infrastructure) is a plus. SECURITY & COMPLIANCE CRITERIA - Eligibility: must hold citizenship in the target territory (France for now). - Clearable: must meet all local requirements for high-level security clearance (e.g. no criminal record, fulfillment of national service obligations). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure smooth transitions from pre-sales to post-sales. The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments, including on-premise, disconnected, and air-gapped deployments. In this role, you will drive adoption inside sovereign institutions and critical infrastructure across the UK, partnering with senior leaders and mission owners under real operational, security, and compliance constraints to deliver projects with significant societal, operational, and strategic impact.   WHAT YOU WILL DO   STRATEGIC DISCOVERY & VISION SETTING - Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter. - Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives. AI SOLUTION DESIGN & DEPLOYMENT - Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped). - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact. - Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. VALUE REALIZATION & CUSTOMER SUCCESS - Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. - Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. - Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. CROSS-FUNCTIONAL COLLABORATION - Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps. - Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings. - Travel (~30-60%) to foster deep client relationships and support on-site deployment.   WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales). - A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. - Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. - Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. - Comfort operating under security, compliance, and confidentiality constraints. NICE TO HAVE - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling. - Experience deploying AI in regulated or sovereign environments (defence, public sector, critical infrastructure).   SECURITY & COMPLIANCE (VERTICAL-SPECIFIC): - Eligibility: must be a UK national - Clearable: must meet all requirements for UK national security vetting (e.g. Security Check (SC) and/or Developed Vetting (DV)), including no relevant criminal record and the ability to satisfy residency and background checks.   WHY THIS ROLE MATTERS   You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc) What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Collaborate with engineering and product leaders to align testing priorities and business objectives. Skills We’re Looking For 6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite. Experience working with backend automation frameworks. Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. Deep understanding of database internals Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills​ Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios. Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure). Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Paris, France WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You will lead Notion’s GTM strategy and growth for France, one of EMEA’s largest and highest-priority markets. France is a Tier 1 region in Notion’s country-first EMEA model, with significant room to scale into a standalone, high-growth business. Notion is shifting from a traditional sales model toward a builder-led model with fewer handoffs, stronger technical fluency, and more direct ownership of customer outcomes. As General Manager, France, you will be the second-line leader responsible for overall revenue outcomes, regional GTM strategy, and the operating model for the French business. You will lead through frontline managers, teams of Business Development Representatives, Solutions Consultants and Outcomes Architects as well as partner cross functionally with Professional Services, Channel Partnerships and RevOps. This is a hands-on builder-leader role for an AI-native, country-first GTM model. You will bring Notion’s new GTM model to life in France: moving from a segment-first motion to a country-first, AI-native operating system where teams help customers diagnose problems, design agentic workflows, and build real systems with Notion AI. This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own the GTM strategy, operating rhythm, and growth plan for France, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. - Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. - Scale a country-first GTM motion that brings Notion closer to French customers through local executive engagement, market nuance, and faster field-level decision-making. - Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. - Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across France. - Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions. - Make agentic transformation central to the French GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption. - Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, Marketing and Channel to reduce handoffs and deliver faster, more durable customer value. - Build “sell with” partner motions in France, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning. - Establish Notion as a visible force in the French ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy. - Represent the voice of French customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics. - Create a talent destination in France by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent. - Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution. WHO WE'RE LOOKING FOR: A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in France and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent. You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow. You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows. SKILLS YOU'LL NEED TO BRING: - 12+ years of professional experience, including 5+ years leading SaaS or AI sales & GTM teams in France. - Deep knowledge of the French enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics across all market segments (commercial, midmarket and enterprise) - Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams. - Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics. - Agency & Urgency: experience building or scaling a regional/country business in a high-growth or ambiguous environment. - Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products. - Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes. - Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process. - Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative. - Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product. - Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building. - Fluency in French and English. NICE TO HAVES: - Experience launching or scaling a country-first or regional GTM operating model. - Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes. - Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €350,000 - €408,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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: 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: 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