• Serve as the primary product-technical consultant for enterprise urgent care and health system partners. • Lead end-to-end EHR implementation projects, -- including Hl7 and API-based connections -- coordinating internal teams (engineering, product, support) to execute on-time delivery. • Collaborate with product, engineering, and marketing to deliver scalable, innovative solutions and ensure your customers are using Solv tools in the most impactful ways • Build deep, trust-based relationships with senior stakeholders across healthcare organizations. • Design and deliver solutions from scratch, tailoring scalable product roadmaps that align to customer business goals. • Ensure effective cross-functional communication and progress tracking across stakeholders — internally and externally.

Role Description Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role is ideal for engineers who enjoy solving deep technical challenges in distributed training, multi-GPU systems, and scalable AI inference infrastructure. You will work directly with AI-focused clients, helping them get the most out of modern GPUs (H100, B200, etc.) and ML frameworks such as PyTorch (and JAX in some environments). Responsibilities - Work alongside senior AI and infrastructure engineers building large-scale GPU platforms. - Design and validate production-grade distributed training (primary) and large-scale inference architectures on large GPU clusters, typically tens to thousands of GPUs. - Work hands-on with customers to debug, optimize, and scale ML workloads across multi-node GPU environments. - Act as a technical authority on GPU performance, networking, and schedulers, making trade-offs at scale and translating customer needs into concrete platform requirements. - Collaborate closely with engineering, product, and R&D to influence roadmap decisions based on real-world ML workloads. - This is a hands-on, technical role; you are expected to work directly in customer environments, not only advise at a high level. Qualifications - Hands-on experience designing and operating enterprise-scale, production-grade, multi-node GPU workloads for training (7B+ model size) or inference. - Strong background in distributed deep learning (PyTorch Distributed, DeepSpeed, ...) on GPU clusters. - Deep understanding of GPU architecture and interconnects (H100/A100 class, NVLink, InfiniBand). - Experience with Kubernetes or Slurm. - Experience with performance tuning using GPU profiling and monitoring tools. Requirements This role is not a fit if your experience is limited to single-node training, high-level AI strategy, or non-production research environments. We are looking for engineers and architects who thrive at the intersection of AI workloads and large-scale infrastructure. Benefits - Location: Remote from anywhere in Europe. - Total compensation up to EUR 250k (base + variable / OTE), depending on level and experience.

• Build and maintain solutions using modern programming languages and frameworks, following company coding standards and best practices. • Collaborate with senior developers to continuously improve code quality, maintainability, and scalability. • Enhance existing solutions based on client and stakeholder feedback, optimizing for both performance and user experience. • Conduct thorough testing (unit, integration, and user acceptance) to ensure functionality and reliability. • Support deployments to production environments, monitor performance, and participate in issue resolution. • Create clear technical documentation, including architecture diagrams and user guides. • Partner with cross-functional teams to align solutions with business goals. • Review preliminary designs and provide feedback to improve efficiency, structure, and maintainability.

Role Description The Manager, Presales Shared Services leads a centralised, high-impact team that accelerates pipeline and improves presales execution quality across the organisation. This role is the operational backbone of the presales motion — owning the development and maintenance of demo assets, proof of concept delivery, RFI/RFP response management, and the health of the demo lab environment. The ideal candidate is a technically strong, operationally minded leader who thrives at the intersection of engineering, storytelling, and sales enablement. You will also be responsible to: - Demo & POC Development - Oversee creation and continuous improvement of reusable demo assets aligned to latest product capabilities and key use cases. - Lead scoping, building, and delivery of POCs for strategic and complex opportunities, ensuring technical quality and buyer alignment. - Establish best practices for demo scripting, environment stability, and persona-based storytelling. - RFI / RFP Response Management - Own end-to-end RFI, RFP, and security questionnaire responses, ensuring accuracy, quality, and on-time delivery. - Build and maintain a centralised response library in collaboration with Product, Legal, and Security teams. - Triage and prioritise incoming requests by strategic value and define clear SLAs for turnaround. - Demo Lab & Environment Management - Accountable for the reliability, scalability, and governance of all demo lab environments. - Oversee provisioning, access management, version control, and regular audits to reflect current product releases. - Establish processes for environment requests, new use case onboarding, and deprecation of outdated assets. - Team Leadership & Development - Hire, onboard, coach, and develop a high-performing team of presales engineers and technical specialists. - Set clear goals, run regular performance conversations, and foster a culture of craftsmanship and continuous improvement. - Balance workload across the team while protecting capacity for high-priority strategic deals. - Presales Collaboration & Stakeholder Engagement - Serve as a strategic partner to regional presales teams, establishing clear intake and engagement models for shared services access. - Participate in pipeline reviews, QBRs, and planning sessions to anticipate demand and align priorities. - Build trusted relationships with presales leaders, positioning the team as a force multiplier across the business. Qualifications - 5–7 years in presales, solutions consulting, or technical sales engineering, with at least 2 years in a team lead or management role. - Hands-on experience building and delivering enterprise software demos and POCs, with the ability to craft compelling technical narratives for different buyer personas. - Proven experience managing RFP/RFI processes at scale, maintaining content libraries, and strong project management skills across multiple concurrent workstreams. - Familiarity with enterprise SaaS platforms, integration, automation, or adjacent technologies strongly preferred. - Experience managing demo or lab environments, including provisioning, sandbox governance, and version management. - Comfortable working with demo automation platforms, CRM systems, and standard collaboration tooling. - Proven ability to lead and motivate technical teams, setting a high bar for quality and fostering a culture of knowledge sharing. - Strong communication skills with the ability to engage credibly across both technical practitioners and senior presales and sales leaders. - Experience in a shared services, centre of excellence, or enablement function is a strong differentiator. - Collaborative, adaptable, and proactive — thrives in a dynamic, high-growth environment with a passion for making an impact through technology. - Proven ability to build a winning team culture that promotes growth, personal development, and continuous improvement. - Strong written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical audiences. - Sharp business and technical acumen, with a track record of turning technology passion into measurable customer impact. - Willingness to travel as needed and work flexible hours across the territory. Company Description Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. Why join us? - Fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. - Driven by innovation and looking for team players who want to actively build our company. - Balancing productivity with self-care. - Vibrant and dynamic work environment along with a multitude of benefits. For more information, visit www.workato.com .