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Location: London Workplace: Hybrid Employment type: Fixed-term contract ABOUT OPENAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence (AGI) benefits all of humanity. We push the boundaries of AI capabilities while prioritising safety, responsible use, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. ABOUT THE TEAM Like every team at OpenAI, the Marketing team contributes directly to our mission of responsible and widespread AI adoption. The EMEA B2B Marketing team translates global priorities into regionally relevant programmes that drive awareness, consideration, pipeline, adoption, and long-term customer trust. We partner closely with Sales and GTM, Product Marketing, Developer Marketing and Relations, Field and Executive Marketing, Content, Customer Marketing, Partner Marketing, Comms, Creative, Media, Marketing Operations, and regional leadership. ABOUT THE ROLE We are hiring an FTC B2B Influencer Marketing Lead, EMEA to build and scale OpenAI’s influencer marketing capability across knowledge workers (KW), business decision-makers (BDMs), and developer audiences. You will own the strategy and hands-on delivery across multiple European markets (working closely with in-market comms & marketing team), with the UK, France, and Germany as the first priorities. You will develop local creator networks, translate regional and global priorities into market-relevant programmes, and build a portfolio that balances sustained creator relationships with high-impact moments around products, campaigns, and events. This is a zero-to-one builder role as much as an ecosystem and operating-model role. You will create the capability from the ground up: building on the early foundations we have in place, you will be responsible for defining the strategy, securing internal alignment, building the creator and agency network, establishing the operating model, and proving what works before scaling it. You will work with existing agencies, identify and onboard new specialist partners where we have capability or market gaps, partner with PHD to amplify the strongest influencer content, and create the goals, processes, reporting, and success measures needed to run the programme with speed, quality, and accountability. You will partner closely with the B2C influencer lead to define and evolve the measurement framework. IN THIS ROLE, YOU WILL - Own the EMEA B2B influencer marketing strategy across KW, BDM, and developer audiences, setting clear audience, market, channel, investment, and outcome priorities. - Build a credible bench of developer creators, technical educators, open-source voices, AI builders, and community leaders across Europe, and design programmes that genuinely help developers learn, evaluate, and build. - Develop differentiated creator plans for the UK, France, and Germany, balancing regional consistency with local language, culture, platform behaviour, regulation, and audience expectations. - Source, evaluate, and build durable relationships with creators who have genuine authority with our priority audiences. Own outreach, briefing, negotiation, contracting, content development, activation, and relationship management. - Design curated creator programmes and high-value experiences that deepen relationships over time—such as briefings, product access, learning sessions, roundtables, community moments, and co-created formats—turning the strongest creators into long-term strategic partners rather than one-off campaign participants. - Build an always-on creator portfolio alongside launch, event, and campaign activations, choosing the right mix of tutorials, product demonstrations, thought leadership, executive content, social posts, newsletters, podcasts, video, and community formats. - Work with existing influencer and marketing agencies to raise the quality and pace of delivery. Identify capability gaps and lead the selection, onboarding, and management of new specialist agencies, including developer-native and market-specific partners. - Partner closely with our media agency to build paid amplification strategies for high-performing creator content, including audience targeting, usage rights, creator whitelisting where appropriate, testing, optimisation, and clear organic-versus-paid performance readouts. - Partner with our Performance Marketing and Growth teams to develop bespoke influencer content that drives measurable performance and business growth. - Operationalise the end-to-end influencer process across intake, creator discovery, due diligence, brand-safety review, scopes of work, contracting, approvals, disclosure and compliance, content calendars, asset management, localisation, paid rights, and post-campaign learning. - Set programme and campaign goals upfront. Build a measurement framework that connects creator activity to meaningful audience and business outcomes rather than relying on vanity metrics. - Define and report a balanced scorecard by audience and objective, including qualified reach, audience relevance, engagement quality, content completion and saves, traffic, product education, developer activation, adoption signals, and pipeline influence where measurement is appropriate. - Establish regular reporting and performance reviews with clear recommendations on which creators, formats, platforms, markets, and investments to scale, improve, or stop. - Manage budgets, agency scopes, creator fees, usage rights, and production investment, making disciplined trade-offs and improving efficiency over time. - Partner with Product Marketing, Developer Marketing and Relations, Comms, Creative, Legal, Privacy, Brand, Media, regional marketers, and GTM teams to ensure content is technically accurate, locally relevant, compliant, and useful to the audience. - Bring creator and community insight back into OpenAI, helping teams understand emerging voices, platform shifts, audience questions, content opportunities, and risks across the European influencer ecosystem. WHAT SUCCESS LOOKS LIKE - OpenAI has a strong, trusted network of B2B and developer creators across Europe, with meaningful depth in the UK, France, and Germany. - Priority creators progress from individual activations into sustained, mutually valuable partnerships, supported by curated programmes and experiences that increase trust, product understanding, and advocacy over time. - Developer influencer marketing becomes a repeatable growth and education channel, supported by a healthy pipeline of credible creators and technically valuable content. - Teams and agencies use a clear, efficient operating model with defined ownership, faster approvals, strong compliance, reusable tools, and fewer one-off processes. - Organic creator programmes and PHD-led paid amplification work as one system, with transparent performance, learning, and investment decisions. - Leadership has a reliable view of goals, spend, creator health, market coverage, results, and the programme’s contribution to audience and business outcomes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have 8+ years of experience in influencer marketing, creator partnerships, B2B content, developer marketing, or an adjacent discipline, including substantial ownership of influencer programmes. - Are deeply plugged into the European creator economy and bring an existing network of relevant creators, agents, managers, platforms, and specialist agencies—particularly in technology, AI, SaaS, developer tools, or adjacent categories. - Have a proven track record of building influencer programmes for developer or highly technical audiences. You understand the difference between broad technology reach and genuine developer credibility. - Have taken an influencer or creator programme from zero to one, moving from an ambiguous brief to a working strategy, partner ecosystem, operating model, measurement framework, and repeatable programme. - Have built curated creator programmes and experiences that develop long-term strategic partnerships, with evidence that sustained relationship-building improved content quality, creator loyalty, audience trust, or business impact. - Can also develop effective creator strategies for knowledge workers and business decision-makers, matching the creator, message, format, and platform to the audience and commercial objective. - Have operated across multiple European markets and understand how to adapt strategy and execution for the UK, France, and Germany. Fluent English is required; French and/or German is a strong advantage. - Have directly managed agencies and creator partners, including selection, onboarding, briefing, negotiation, contracting, production, usage rights, paid amplification, and performance management. - Understand the mechanics and economics of organic and paid creator distribution, and can partner effectively with a media agency to turn strong content into scaled, measurable campaigns. - Are analytically strong and comfortable setting goals, designing measurement approaches, reading performance data, and making clear recommendations when attribution is imperfect. - Combine strong editorial and technical judgement with operational rigour. You can protect creator authenticity while maintaining accuracy, brand safety, compliance, and message integrity. - Are both strategic and hands-on: comfortable setting the direction, building the system, finding the creator, improving the brief, resolving an approval issue, and getting the programme live. - Build trust quickly across creators, agencies, marketers, technical teams, and senior stakeholders, and communicate clearly when priorities, evidence, or trade-offs are contested. - Are energised by AI and motivated to help developers, businesses, and knowledge workers across Europe understand and adopt transformative technology responsibly. WORKPLACE & LOCATION This fixed-term role is based in London with three days per week in the office. Regular travel across Europe, particularly to France and Germany, will be required.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About This Role GiveDirectly is scaling its emergency response operations to reach more people, faster, with cash in the wake of crises. As a Senior Manager on the Delivery team, you will play a key role in building team capacity, strengthening response systems, and ensuring GiveDirectly can deploy effectively at scale. You will mentor and develop Delivery Managers and surge roster members, contribute to the strategic direction of the team, and serve in assigned functional roles during responses. This role does not currently carry direct line management responsibility, though this may be added as the team scales. Senior Managers should be able to: Understand and clearly communicate about the market/landscape and GiveDirectly's value proposition in their domain and across domains Mentor teams and contribute to resource planning to develop individual members Oversee excellence in design and implementation, with a constant drive to improve, iterate, and learn What You'll Do Support and Develop High-Performing Teams Mentor and train Delivery Managers and surge roster members on response systems, tools, and operational best practices, building long-term capacity across the team Participate in the evaluation of the team's learning opportunities and contribute to the professional development of individual team members with key performance indicators Support quality assurance across responses, providing expertise and guidance to ensure consistent operational standards Contribute to the strategic vision and direction of the Delivery team, in coordination with the Delivery Director Support broader surge roster readiness, including onboarding and preparing internal and external surge staff for deployment Strengthen Response Systems and Capabilities Support steady-state work as assigned by the Delivery Director, including development of tools, protocols, and documentation Contribute to the development and continuous improvement of operational tools and protocols to accelerate readiness across a growing number of countries Conduct operational diligence and feasibility inputs for potential responses, in coordination with the Delivery Director Define, track, and report on operational efficiency metrics to support performance management and continuous improvement During responses, serve in an assigned functional role as directed by the Delivery Director Support Fundraising and External Representation Translate field learnings and operational experience into inputs for donor proposals, updates, and campaign materials, in coordination with the Fundraising team Represent GiveDirectly at external and internal forums as assigned, including media engagements as necessary Staff Emergency Cash Responses Deploy on short notice to implement Emergency Cash crisis response programs When deployed or remote: supervise program implementation, test approaches and tools, drive program design, liaise with local authorities and other response actors, and ensure excellent communication and documentation during responses When deployed: conduct field assessments, coordinate field logistics, and ensure the safety and security of the deployed team What You'll Bring Alignment with GiveDirectly values: exceptional alignment with values and an active demonstration of our core competencies — emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity 5–7+ years of experience: in a role focused on problem solving, team management, cross-functional collaboration and/or new business development. Prior humanitarian/emergency experience strongly preferred 5+ years of experience: working in difficult settings, including low-resource and high-insecurity contexts 3–5+ years of experience: providing direct mentoring or coaching to teams, with the ability to assess strengths and opportunities for improvement, as well as measure performance growth Analytical problem solving: looks at problems with an analytical and iterative mindset, with a strong framework for prioritization and the ability to bring structure and process to ambiguous problems Strong project management skills: the ability to manage multiple workstreams, prioritize and explicitly deprioritize, and hold a high quality bar Strong technical skills: including data analysis and ease with learning new third-party tech platforms and tools Fundraising: preference for candidates with a strong partnership and relationship-management background Strong communication skills: skilled in speaking, writing, presenting, and negotiating across multiple stakeholders Enthusiasm for fast-paced environments: which may lack a pre-defined playbook for success and involve significant "learning by doing." Comfort with ambiguity and building systems from scratch Language Requirement: English (professional fluency) Language Preference: Additional proficiency in French, Portuguese, Arabic, or other languages is a plus Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to ensure that staff's total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. United States Base Salary: $115,000 Bonus at Target Performance: 10% (~$11,500, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $13,455 in 2025) Estimated Total Compensation at Target: $126,500+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £73,900 Bonus at Target Performance: 10% (~£7,390, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be £8,646 in 2025) Estimated Total Compensation at Target: £81,290+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $79,825 Bonus at Target Performance: 10% (~$7,983, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $9,340 in 2025) Estimated Total Compensation at Target: $87,808+ Annual Benefits Stipend: $8,453 If you are not based in the US or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Remote - Europe; United States Workplace: Hybrid ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS We build and operate blockchain infrastructure for financial market infrastructure — settlement, custody and clearing institutions. The platform spans a sequencer and coordinator, a ZK proving stack, cross-ledger interoperability, privacy and settlement components, and the infrastructure that runs all of it in production for clients with contractual commitments. Someone has to hold that whole picture and make the pieces fit. Not in a diagram — in the code, in the design decisions, and in the answers we give institutional architects who are deciding whether to put real value on our networks. This is a hands-on role. You will write code, build proofs of concept, and be in the design reviews. If you haven't shipped something yourself in the last year, this isn't the right role. WHAT YOU'LL OWN - Architecture across the platform — how the sequencer, coordinator, proving stack, interop layer, privacy components and infrastructure fit together, and where the seams are. - Cross-ledger interoperability architecture. This is our differentiator and our IP, not a commodity — the design choices here decide what we can sell and what we can charge for. - Turning institutional requirements into designs. Our clients issue detailed requirement documents — availability, finality, privacy isolation, RBAC, key custody, emergency deployment. You turn those into architecture the team can build and we can evidence, and you are honest about which requirements we meet technically and which we meet by control and attestation. - Proofs of concept. Built by you in partnership with the Engineering team, after specified to a high quality by you. Ambiguity gets resolved by building the smallest real thing. - Design reviews and architecture decisions — written down, with the reasoning and the discarded options, so the next person doesn't re-litigate them. - Build versus buy. Where we take a third-party component, where we build, and what that costs us in dependency. - Technical depth in client and partner deep-dives when the conversation goes past what a slide can carry. - Architecture decisions are final. You time-box spikes and PoCs, you write down the discarded path, and you freeze the call so engineering is not implementing two designs at once. - You own the design so other people can build. That means interfaces, constraints and written decisions — not sitting in every review. Teams should be able to ship against an Architecture Decision Record without you in the room. - You use AI daily to explore designs, write and test PoCs and draft ADRs. You set that practice for the people who implement your designs. - Designs that survive production. Availability, finality, rollback and proving upgrades are architecture constraints, not an ops surprise after merge. HOW THIS FITS - Product — you pair closely with Product on what we build and why. Architecture that isn't anchored in a client problem is a hobby. - Cryptography and ZK research (prover, zkEVM, arithmetization) — a separate line. Their output is a major input to your architecture; you need enough depth to reason about proving costs, latency and constraints without needing to be a cryptographer. - Core protocols (Besu, Teku and related clients) — sits with our Head of Protocols. Client capabilities and roadmap commitments there shape what you can design. - Engineering and infrastructure — your designs are built and operated by these teams. They will tell you quickly if a design doesn't survive contact with production, and you should want them to. WHAT WE ARE LOOKING FOR - Has designed distributed systems and built them — recent, hands-on, in a language we use (Kotlin, Go, Rust, Solidity, TypeScript, Zig). - Has strong hands-on background of Software Development/Engineering, 8+ years. - Can hold a large system in their head and see where it doesn't fit together, and reason down to detailed technical level— the failure modes, the coupling, the thing that breaks at scale–and be able to effectively communicate this to colleagues. - Ethereum and EVM knowledge, or the demonstrated ability to get there fast from adjacent distributed-systems work. - Writes clearly. Design documents and diagrams that a bank's architecture team will accept without a meeting. Not just for external, but for internal too. The architect should leave behind clear written artifacts that make it clear what engineers need to build and why, and what success looks like. - Can be in a room with institutional architects and stay technical — credible on resilience, key custody, finality and privacy without drifting into sales language. - Pragmatic. Knows when the right architecture is the boring one. - Decisive under ambiguity. Makes the call when Product, a client requirement and a protocol constraint disagree. - Experience architecting for secure mission-critical systems. USEFUL, NOT REQUIRED - ZK proof systems — enough to reason about cost, latency and trust assumptions. - Privacy technologies: privacy pools, MPC, trusted execution, tokenisation frameworks. - Regulated financial infrastructure — payments, clearing, settlement, custody. - Understanding of governance dynamics and key stakeholders within the Ethereum ecosystem. - Experience of cloud and infra deployments and topologies. - Experience in Fintech/Banking/Trading or similar domains. WHAT THIS ROLE IS NOT - Not a PowerPoint architect. If the last two years of your work are diagrams and decks, this is the wrong role and the interview will find that out. - Not a pre-sales function. You'll join client technical sessions, but delivery is the job. - Not a people-management role. This is an individual contributor position with real technical authority. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Limassol, Cyprus Workplace: on-site We are looking for a hands-on DevOps Engineer with strong, recent AWS experience to join our infrastructure team. You will work in a hybrid environment spanning AWS, private OpenStack clouds, OKD, virtual machines, and bare-metal Linux servers. We are primarily looking for someone coming from an AWS/Linux/automation background. Our platform serves hundreds of thousands of requests per second across many thousands of virtual machines. We are therefore looking for someone who is already comfortable working with high-load, business-critical production systems, rather than someone whose experience has been limited to small-scale or early-stage environments. CORE STACK: AWS Terraform OpenStack (as a consumer: VMs, networking, storage) OKD / Kubernetes (OKD is the upstream of OpenShift) Helm / Helmfile Ansible GitLab CI/CD Linux Virtual machines and bare-metal servers Prometheus / VictoriaMetrics / Grafana ELK Our dedicated platform teams operate the underlying OpenStack and OKD platforms, while your team owns and operates the workloads running on top of them. Previous OpenStack or OKD expertise is not required: you will not be responsible for building OpenStack or maintaining the OKD control plane, but you should be comfortable deploying, operating, and troubleshooting workloads running on these platforms. Job Responsibilities Typical tasks in this role include: Build and evolve AWS infrastructure with Terraform — extending existing modules and writing new ones — across compute, networking, storage, IAM, databases, and load balancing (EC2, VPC, S3, RDS, ALB/NLB, IAM); Provision and manage OpenStack virtual machines and the Linux services running on them, as well as workloads running on bare-metal Linux hosts; Deploy and operate workloads in OKD using Helm and Helmfile, including maintaining charts, values, and templates, and troubleshooting deployments; Build and improve GitLab CI/CD pipelines for application and infrastructure deployments; Manage Linux systems with Ansible, including writing new roles and adapting existing ones; Own observability for your workloads: configure metric collection in Prometheus and VictoriaMetrics, maintain Grafana dashboards, set up and tune alerts, and work with centralized logging in ELK — collection, parsing, and helping teams find and understand issues in application and infrastructure logs; Work closely with Development and QA teams — supporting production systems as well as the test environments used for day-to-day development, and helping with deployments, environment configuration, infrastructure issues, and release blockers; Troubleshoot issues across infrastructure, networking, Linux, CI/CD, and application platforms, including problems that span multiple systems; Automate repetitive operational tasks and take part in infrastructure upgrades, migrations, and improvements. Review infrastructure code and work with DevOps, Development, QA, and Platform teams on changes that cross team boundaries. You’ll thrive here if you have Has strong, recent hands-on AWS experience in large-scale, high-traffic, business-critical production systems; Has solid experience with Terraform and Infrastructure as Code; Has practical experience running workloads in Kubernetes-based environments and working with Helm; Has experience building and maintaining CI/CD pipelines, preferably with GitLab CI; Has hands-on experience with Ansible, including writing or maintaining roles; Understands infrastructure networking: TCP/IP, DNS, routing, load balancing, firewalls/security groups, and connectivity troubleshooting; Has practical experience with metrics and alerting (Prometheus, VictoriaMetrics, Grafana) and centralized logging (ELK); Can troubleshoot complex problems independently and follow them across multiple layers of the stack; Is confident with Linux, virtual machines, and production infrastructure, is comfortable working outside fully managed cloud services, and understands what runs underneath the application. Comfortable using Bash, Python, or similar for automation. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: San Francisco, CA; New York, NY; Washington, D.C. 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, 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 Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU’LL DO As an Agent Strategist, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production. Translate mission goals, policy requirements, and operational workflows into an agent that performs reliably in the real world. - Be a trusted strategic advisor to public sector leaders. Work shoulder-to-shoulder with agency executives and program leaders to define success, prioritize opportunities, and shape an AI strategy grounded in mission impact. - Partner with working teams day to day. Run working sessions with program, operations, technology, security, legal, and procurement stakeholders; resolve issues as they arise; and make the decisions that keep deployments moving toward launch. - Identify new ways to expand our impact. Understand our partners' most urgent needs and develop roadmaps for new use cases, including proactive outreach, multilingual access, and long-horizon agents that can support people across multi-step journeys. - Directly shape the product and our public sector strategy. Surface unmet needs from customer work, prototype new approaches, and partner with research, product, platform, and public sector leadership to influence Sierra's roadmap, market strategy, and repeatable solutions for government. EXAMPLE PROJECTS These are the kinds of projects that strategists on our public sector team have worked on recently: - Improve access to benefits and services. Launch an agent that helps residents understand eligibility, gather the right information, and navigate a complex application or recertification process across channels and languages. - Modernize constituent support. Design an agent that answers policy and program questions, provides case or application status, and routes sensitive or exceptional situations to the right public servant with full context. - Make critical reporting easier and safer. Build trusted conversational experiences for reporting fraud, safety concerns, or other high-stakes issues while meeting rigorous privacy, security, accessibility, and auditability requirements. - Enable proactive government services. Create a roadmap for outbound agents that remind people about deadlines, explain program changes, or help them complete important next steps before a benefit or service is interrupted. - Build repeatable public sector capabilities. Use a live agency deployment as a design partnership to shape new platform capabilities, evaluation standards, or implementation patterns that can serve institutions across federal, state, and local government. WHAT YOU’LL BRING - Ownership and delivery. A track record of leading multiple complex, high-visibility initiatives and driving cross-functional teams from an ambiguous starting point to measurable outcomes - for example as part of an early team, consultancy, or otherwise.. - Technical aptitude. Comfort engaging directly with technical concepts, including reading API documentation, understanding data models and system architecture, and following engineering and security tradeoffs in design discussions. - Commitment to public service. A passion for public sector work and a belief in the potential of institutions to improve outcomes for the people and communities they serve. - Communication. Clear, direct, and persuasive communication across executive, operational, policy, and technical audiences, with the ability to turn complexity into shared decisions. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as policy, stakeholder, or implementation conditions change. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - Experience working in or with federal, state, or local government, including familiarity with procurement, security and compliance, accessibility, policy implementation, or systems integration. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TECH, MEDIA & TELECOM TEAM - We work with some of the world's most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide. - We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or global events like the World Cup https://www.linkedin.com/posts/claybavor_at-sierra-we-are-very-proud-to-have-partnered-share-7491200202284945410-Bg79/?utm_source=share&utm_medium=member_desktop&rcm=ACoAABYjELMBZfjrg-wrv53M1tVXGe93FF3eTww drive millions of customer interactions. - We bring Sierra’s Horizon https://sierra.ai/product/horizon vision to TMT by building agents that transform the entire customer relationship: - Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time. - Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention. - Technology: Bring the white-glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects strategists on our TMT team work on: - Scope and launch a subscription-retention agent for a telecommunications or media company, then tune it to save more at-risk customers while preserving trust and brand voice. - Launch a top-of-funnel sales agent for a telecommunications provider that qualifies prospects, recommends plans and devices, and converts interest into new subscriptions. - Build a new-subscriber onboarding agent that activates service, ports numbers, configures devices, and reduces early-life churn. - Create a proactive, long-running agent that detects service or account issues, reaches out across channels, and manages resolution before the customer contacts support. - Develop a media growth agent that drives content discovery, trial conversion, plan upgrades, and subscription renewal. - Partner with Product to develop capabilities for TMT-scale traffic, including low-latency voice, multilingual experiences, proactive communications, and resilient performance during major launches or service events. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts — reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Interest in telecommunications, media, and technology. Experience in telecom, streaming and digital media, enterprise or consumer technology, or subscription businesses — and familiarity with customer care, billing, identity, content, or technical support systems — is a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. - Client-facing consulting, solutions, or strategy experience in a technically complex environment. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - including Uber, Wayfair, Wilson, and Sonos. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Launch an order management agent for a national apparel brand — order lookup, cancellations, returns, and exchanges — then hill-climb containment and CSAT week over week. - Partner with Product to build a shopping agent that plugs into a retailer’s existing search and recommendation systems to guide product discovery — turning the support channel into a revenue channel. - Stand up an in-store support voice agent for a big-box or grocery retailer, answering the stock-check and store-info calls that largely go unanswered today and converting them into store visits and sales. - Design a booking, payments, and outbound agent for a consumer services brand operating hundreds of locations. - Help a marketplace handle order status and buyer–seller disputes at enormous scale. - Launch outbound campaigns — cart recovery, win-back, churn saves, and subscription renewals — across voice and SMS. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Interest in retail and consumer experiences. Experience in e-commerce, retail technology, marketplaces, or consumer brands — and familiarity with commerce and CX stacks (e.g., commerce platforms, order management systems, contact center software) — is a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Genuine interest in Financial Services and improving the end customer experience. Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are examples of projects our healthcare team has worked on: - Lead the project for building AI agents for major health insurance networks that handle detailed questions like “what’s my co-pay for a primary care visit?” and “how many physical therapy sessions do I have left?” - Ideate and create a roadmap for growing value for large healthcare payers and providers. - Create AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics. - Build agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates. - Develop AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Genuine interest in healthcare and improving patient/member experiences. Experience in healthcare technology, health IT or working with healthcare organizations and an understanding of healthcare compliance requirements (HIPAA, PHI handling and healthcare data privacy) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. Rain operates around the world and services global businesses and platforms with embedded financial products and services. We work with some of the biggest businesses in the world and serving them means servicing their end users around the world. Getting there usually means expanding our licensing coverage either through direct force projection or through strategic partnerships. Once we’re in a market this work transitions to getting our products and services up and running to ship local products. Market Expansion is a high impact, small, SWAT-like team that owns launching local financial products in each of our target geographies. We like to work in person and we work on every market Rain decides to enter. As part of this team, you will go exotic places, meet exotic people, and build exciting products. The team is, by definition, heavily cross functional requiring team members to work with Product, Legal, Compliance, and Go To Market. We are accountable for the outcome, not for the project plan. The model is deliberately temporary in each market. A launcher deploys into a market, launches the product, hires and hands over to a local GM, and moves to the next one. A market launch is a complex project that runs 3 to 12 months, touches around twelve cross functional capabilities and more than ten internal functions. If you want a clean, independent role inside one function, this is not for you. If you want to be personally accountable for making an impact on one of the fastest growing financial technology companies, keep reading. What you’ll do - Be Global: Spend significant time, in person, in each market you launch. - Be Autonomous: Own a market launch end to end, from the point the entry decision is made to the point the business runs without you. - Operate Across the Company: Work with our legal team to manage the local regulatory and legal processes for licence expansion or transfer where we go direct. - Define and execute the operationalization strategy for each market, meaning the specific decisions about how Rain's technology, team and systems get deployed in the local market. - Identify and solve blockers to quick market launch. - Coordinate and drive a 100 day plan for each market, including the workstream owners, the sequencing, the reporting cadence, and the escalation path when a workstream slips. - Identify and hire the key local roles, usually a country lead and their first two or three hires, and ramp them up / coach them through the first few weeks at their roles. - Detect what is missing before it becomes a problem. Additional licences, gaps and remediations that nobody has scoped. - Own and improve the playbook. You are likely to succeed if you have: - Background: roughly 5 to 7 years of experience in strategy consulting, private equity operations, or an operating role in a regulated fintech or payments business. - Communication skills: you can independently write high-quality formal documents, and represent Rain in high-stakes meetings (e.g., with regulators, investors, partners, customers…). - Business and tech acumen: can work through complexity across different workstreams (e.g., pricing, tech, legal, compliance) identifying what matters in a context full of noise. - Project management experience: you have driven complex projects to completion, particularly when task owners don’t directly report to you. - Practicality and effectiveness: you get things done quickly despite challenges, and are able to deliver a high amount of output when required. - Intellectual curiosity: you are eager to go deep into technical topics, particularly when the response is not obvious. - Desire to travel: you are interested in spending significant time in person in the target markets to launch the product, hire a local team, and solve problems. - Location: you are based in New York or Madrid, or have a willingness to relocate. - Languages: you speak native / fluent English. Bonus attributes: - Direct experience with regulatory approval processes, market expansion, post-merger integration, on either side of the table. - Experience in payments, card issuing, e-money or banking, whether at an operator, a regulator, an adviser or a network. - Having expanded a business into a new geography, including taking a product or a programme live in a new jurisdiction. - Knowledge of the payment / crypto regulatory landscape for payments and digital assets. - Familiarity with stablecoins and how onchain tech interacts with traditional payments. - Additional languages, particularly Spanish, Portuguese, Chinese or Arabic. - Experience building a function from scratch, including hiring the team who came after you. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for an experienced Database Infrastructure Engineer to join our Infrastructure team. Our goal is to ensure the reliability, scalability, security and performance of high-load relational database systems. The primary focus of this role is the administration and optimization of PostgreSQL and MariaDB clusters, automation via IaC, and the development of reliable HA/DR solutions. Job Responsibilities Database Cluster Management: Deploy, administer, upgrade, and scale PostgreSQL and MariaDB clusters in high-load production environments; High Availability & Disaster Recovery: Design and maintain HA solutions, replication topologies, failover/switchover, backup/restore , and DR plan; Infrastructure as Code: Fully automate provisioning and configuration management using Terraform and Ansible; Performance Tuning: Analyze query execution plans, optimize indexes and database parameters, investigate locking and replication lag, and tune Linux kernel parameters for specific workload profiles; Observability: Configure monitoring, dashboards, logging, alerting, and SLOs for database services; Troubleshooting: Investigate incidents, analyze logs and metrics, identify performance bottlenecks, and participate in on-call activities; Automation: Develop tools and scripts for routine operations, health checks, failover validation, maintenance, and database lifecycle management. You’ll thrive here if you have Experience: 3+ years as a DBA, DBRE, DevOps Engineer, or System Administrator with a strong focus on production relational databases; Deep understanding of PostgreSQL/MariaDB architecture and internal database processes; Building PostgreSQL/MariaDB high-availability architectures, replication, backup and performance tools; Experience HA soultions for PostgreSQL (Patroni, PgBouncer), MariaDB (MaxScale, Galera); Experience troubleshooting replication lag, deadlocks, locking issues, and transactional workloads; Hands-on experience testing failover scenarios and performing recovery from backups; Strong SQL and query optimization skills, analyze and profiling queries. IaC & Automation: Strong proficiency in Terraform, including writing reusable modules and managing state files; Experience writing complex Ansible roles and playbooks. Linux: Deep knowledge of Linux internals, filesystems, CPU, memory, disk I/O, networking, and kernel tuning for database workloads. Observability: Experience with Prometheus/VictoriaMetrics, Grafana, and the ELK stack. Scripting: Proficiency in Python or Bash for automation and operational tooling. Big Plus: Kafka & Debezium: Experience configuring CDC pipelines from PostgreSQL or MariaDB using Debezium and Kafka Connect; Kubernetes & Helm: Experience running stateful database workloads in Kubernetes, including database operators; Cloud Platforms: Experience with managed database services and cloud infrastructure; Analytical & NoSQL Databases: Knowledge of ClickHouse, MongoDB, Redis or other distributed data platforms; Security: Experience with database access control, TLS, secrets management, auditing, and encryption; Programming: Experience supporting applications written in Java, Go, Python, or similar languages. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote - Europe Workplace: Hybrid ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS We build and operate blockchain infrastructure for financial market infrastructure — settlement, custody and clearing institutions who put real value on the networks we run. We have signed clients with production dates this quarter, a platform that has to stand up on its own for the first time, and an engineering organization that has just been through a leadership transition. You are the engineering leader for that organization — the person who owns what we've committed to ships, and who the engineers look to when a technical decision needs making. WHAT YOU'LL OWN - The delivery organization — core engineering (sequencer, node and backend services), smart contracts, and infrastructure/DevOps. - Client delivery against contractual commitments. Several institutional programs are in flight with production dates between now and Q1, each with availability, latency and evidence requirements written into the contract. Availability definitions, maintenance windows, DR, incident process and the proof behind them are yours. System reliability engineering and on-call rota included. - Operating production networks — including a public mainnet run under an arm's-length managed-service agreement, alongside sovereign and permissioned networks for clients. - Work with the Security Lead to help set security standards for partners, clients and internal systems. - The technical roadmap and its sequencing — working with Product and Sales to define what we build, what we buy, what we say no to, and the honest version of when. - Completing the separation from our former parent. Observability, deployment tooling, identity and infrastructure-as-code all have to be rebuilt or properly handed over, under a live clock. - Engineering standards and the release process — how we test, how we ship, how we roll back, how we review, and how we maintain. - Being a credible technical voice with clients. Our buyers are institutional. They will ask you hard questions about resilience, custody of keys, and what happens at 3am, and they will judge the company by the answer. - Leadership and people management — hire, lead, mentor, and develop engineering managers and team leads; foster a remote-first, high-performing, collaborative engineering culture; support performance management and career development; and liaise closely with team leads to coordinate priorities, dependencies, resourcing, and delivery across engineering. - Contribute to major architecture or investment proposals. - Meet customers or partners where engineering involvement is valuable. - Managing and integrating company wide objectives into engineering team based measurable objective key results (OKRs) and communicating on these objectives to the organization. - Engineering operating model — who owns what, who decides, and what escalates to you. You set decision rights with Product, Sales and Protocols so a stuck call does not sit in a meeting for two weeks. - Delegation. Delivery, incidents and most design calls sit with engineering managers and tech leads. You are the exception path and the person who builds those managers, not doing every estimate and every review. - How the organization uses AI in the actual work. You use it yourself every day and you make it the default for the teams, with the same bar we already apply to human-written code. This is practice, not an “AI strategy” slide. - Cost management. You will strive to reduce operating costs wherever possible without reducing quality or productivity. One area sits outside this role, although your work will align closely with it: - Core protocols (Besu, Teku and related clients) sit with our Head of Protocols, reporting to the CEO. Some of your delivery dates depend on their commitments; that relationship is a partnership, not a reporting line. WHAT WE ARE LOOKING FOR - Deep Ethereum and EVM experience. - Has run an engineering team of 20+ across multiple teams, as a leader of leaders — and has done it at this company stage. - Has owned production systems under contractual SLAs for demanding customers, and has personally been accountable for an outage in front of one. - Deeply technical. You don't need to be the best engineer here, but you need to earn the respect of people who are — challenge a design, know when an estimate is optimistic. - Distributed-systems depth. Blockchain experience is a real advantage; strong infrastructure and backend leaders from high-integrity domains (payments, exchanges, market infrastructure) will be taken seriously. - Has hired well and retained people through a hard period. - Someone with sound technical judgment, strategic thinking, commercial awareness, and strong prioritization skills. - Direct. This team has a low tolerance for polish over substance. Say the hard thing early, and say it kindly, more light, less heat. - People-first leader — empathetic, approachable, and committed to mentoring and developing others. - Strong communicator — builds trust and communicates clearly across engineering and the wider business. - Collaborative — works closely with team leads to align priorities, coordinate dependencies, and keep teams moving together. - High emotional intelligence — self-aware, thoughtful, and comfortable navigating difficult conversations and change. - Coach and multiplier — develops strong leaders, delegates effectively, and builds high-performing, autonomous teams. - Pragmatic and organized — brings clarity and structure without unnecessary process. USEFUL, NOT REQUIRED - L2 or ZK-rollup architecture. - Regulated financial infrastructure — audit, change control, evidence, SOC 2 / ISO 27001. - Experience of a carve-out, separation or post-acquisition integration. WHAT THIS ROLE IS NOT - Not a box-checker, don’t add process for process sake. - Someone who does not challenge or seek clarity. - Someone who does not seek to understand why and what the value is for a task. - Someone who feels like they have to be the loudest voice in the room and does not seek to listen first and leverage the intelligence of others. - Someone who has not had experience managing engineering teams and who feels comfortable being a single IC. - A 100% hands-on engineering role. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Munich Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who we're looking for:AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses.The role is based in Munich, Germany.Key Responsibilities:Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases.Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility.Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails.Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities.Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows.Prepare agent specifications and solution documentation that enable delivery teams to implement successfully.Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption.Support customer presentations and executive discussions around AI strategy.Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices.Required Skills & Competencies:Strong skills in business analysis, process design, value mapping, and discovery.Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations.Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role.Hands-on experience designing or launching AI-powered solutions or AI agents.Experience translating business requirements into solution designs.Experience working with enterprise customers and multiple stakeholders.Excellent executive communication and presentation skills.Strong analytical and systems thinking.Excellent spoken and written German and English.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote - US About MariaDB Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems. MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before. The Opportunity About the Role We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. You will lead features from whiteboard to production: owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards. Key Responsibilities 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture. Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure. Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration. Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments. Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments. Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling. BS/MS in Computer Science or a related technical field. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Knowledge of MariaDB server is a plus. Required Qualifications Experience 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software. Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production. Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP). Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems. Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent). Technical Skills Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++). Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design. Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables. Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer. Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Preferred Qualifications Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem. Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems. Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta. Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications. Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage. Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure. Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL. Location & Job Info Full-Time - Remote - US Why Join Us Compensation The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package.  We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an IT Infrastructure Support Lead to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Lead and manage a team of Infrastructure Support Engineers, including performance reviews and career development Coordinate the daily support workload, setting priorities and assigning work across the team Make sure tickets and requests are correctly logged, categorised, prioritised, and assigned Escalate unresolved or complex issues through the appropriate channels when needed Oversee user onboarding and offboarding activities Organise the preparation and delivery of workstations, laptops, and other IT equipment Use Microsoft Intune for device management and application deployment across the organisation Maintain the global IT asset inventory Track software licence allocation and keep licence records accurate Spot recurring support issues and drive improvements to processes, best practices, documentation, and standard procedures Provide training and technical guidance to the Support Team on IT operational systems and procedures Take part in the change management process Support backup management, disaster recovery, and business continuity procedures Keep monitoring systems running to help ensure system availability and reliability Contribute to IT infrastructure upgrades and migrations Ensure the team follows IT security standards and best practices Requirements Experience leading and managing an IT support team, including setting priorities, coordinating workloads, and supporting team development Strong understanding of IT service management processes, including ticket ownership, prioritisation, escalation, incident management, request management, and service quality Hands-on experience administering Microsoft Active Directory, including user accounts, groups, permissions, and Group Policy Proficiency administering Google Workspace, including user accounts, groups, access, and core services Familiarity with Microsoft Intune or a similar endpoint management platform, including device management and application deployment A track record of coordinating user onboarding, offboarding, and IT equipment deployment Background managing IT asset inventories and software licence records Working knowledge of infrastructure operations, including monitoring, backups, disaster recovery, and change management Good understanding of IT security standards and best practices Strong organisational skills and the ability to manage multiple priorities Strong written and verbal communication skills, with the ability to explain technical information clearly to technical and non-technical users Flexibility to work outside normal working hours when required for planned infrastructure upgrades or migrations Nice to Haves Exposure to infrastructure monitoring platforms A track record of supporting teams across multiple international locations and time zones Experience supporting Perforce Helix Core and P4V Familiarity with enterprise backup platforms Comfort using PowerShell or other scripting tools to automate support and administrative tasks Background in large-scale migration projects and operating system upgrades Working knowledge of Windows, Linux, and macOS environments What We Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Spain; Hungary; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a AI Infrastructure Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Ukraine; Czech Republic; Latvia; Spain; Albania; Lithuania; Greece; Bosnia & Herzegovina; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; Malta; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES - Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent - Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models - Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers - Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance - Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health - Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments - Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities - Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS - 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems - Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent - Strong background in container orchestration and operating GPU-based workloads in production - Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines - Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) - Strong understanding of distributed systems, performance tuning, and production reliability engineering - Ability to effectively use AI coding assistants to accelerate development and debugging workflows - Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS - Experience with ML platforms such as Kubeflow, MLflow, or KubeAI - Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems - Experience with cost optimization across different GPU types and inference workloads - Background in early-stage startups or greenfield infrastructure projects - Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US - Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform - Build foundational ML inference systems from the ground up in a high-growth, well-funded startup - Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture - Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems - Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.