• Collaborate with sales teams to present and position Direct Liquid Cooling (DLC), Rear-Door Heat Exchangers (RDHx), and advanced air-cooling solutions for hyperscale customers. • Analyze customer requirements and develop customized cooling architectures aligned with ASHRAE, Open Compute Project (OCP), and U.S. regulatory standards. • Conduct technical workshops, site visits, and proof-of-concept demonstrations for cloud providers, colocation operators, and enterprise clients. • Provide technical documentation, bid responses, and RFP/RFQ support to ensure compliance with customer specifications. • Work with R&D and product teams to tailor global solutions for U.S. hyperscale market needs. • Track emerging trends in high-density cooling, sustainability initiatives, and energy efficiency standards to guide product positioning.

Role Description The Technical Applications Engineer (TAE) supports the Commercial team in the coordination and execution of all technical and commercial activities within the Grid Automation business. This is a key technical role within Grid Automation, combining deep engineering expertise with customer interaction and commercial support. The role plays an important part in enabling the digitalisation of substations and supporting the energy transition across Europe, with a strong strategic focus on the ITALIAN market while contributing to the broader South Europe region. - Review, analyze and resolve customer application enquiries using sound engineering principles, ensuring compliance with business standards, procedures and delivery requirements. - Provide technical support across the full Grid Automation portfolio, including Digital Control Systems, Substation Automation, Protection systems, RTUs, network management and OT cybersecurity solutions. - Support Sales and Commercial teams in defining optimal technical solutions, product positioning, customer presentations and technical negotiations. - Contribute to and complete formal technical tenders in line with customer specifications and business requirements. - Deliver customer training on application, configuration and operation of Grid Automation solutions. - Participate in customer meetings, site visits, seminars, conferences and industry events as required. Qualifications - Degree in Electrical, Electronic or Telecommunications Engineering, or Computer Science. - Proven experience in a customer-facing engineering role. - Strong and deep understanding of Power Systems fundamentals is essential. - Solid knowledge of Protection & Control principles and Substation Automation systems. - Experience with IEC 61850-based Substation Automation solutions (highly desirable). - Understanding of RTUs, HMI systems, network protocols and OT environments. - Cybersecurity experience in OT environments (preferred). - Ability to analyze complex technical applications and produce clear technical reports. - Commercial awareness and ability to work effectively with Sales teams and customers. - Willingness to travel domestically and internationally within the SEU region. - MANDATORY: Italian and English (business fluent). - Highly valued: Spanish, Portuguese, or Balkan languages (Serbian, Croatian, Romanian, etc.). Requirements - Strong communication, presentation and interpersonal skills. - Ability to manage multiple technical enquiries in parallel. - Strong problem-solving mindset with structured engineering thinking. - Customer-focused, proactive and solution-oriented approach. - Ability to work effectively in a regional and cross-functional environment. Benefits - Base salary established according to the Metalworking CBA salary scale. - Pension Fund (Cometa): All levels are eligible, except executives. Employer Contribution: 2% (2.2% if under 35). Employee Contribution: 1.2%. - Medical Benefits (Metasalute): Healthcare coverage provided under the NCBA. - Medical Benefits (Not Executives): Additional Medical coverage provided by Assicurazioni Generali. - Canteen or Meal Vouchers: Electronic meal vouchers (Edenred) with a minimum value of €8 up to €12.50 for each day worked. - Flex Benefit: €250 of annual credit as per NCBA available on a dedicated portal for education, sports, travel, or pension reimbursements. - Accident Insurance: Insurance policy provides for 6 times Gross Annual Salary in case of death and 7 times Gross Annual Salary in case of permanent disability coverage. - Life Insurance: Insurance policy provides for 2 times Gross Annual Salary coverage. - Employee Assistance Program: Global 24/7 psychological, legal, and financial support. - Flexible working: Flexible working up to 10 working days per month for eligible roles. - On-call duty: €124 gross daily on-call allowance for on-call days at specific sites. - Business trip allowance: Allowance equal to 20% of daily remuneration for each day spent away from the usual place of work.

Role Description You'll work with and bring opinions on choosing between the following: - LLM Providers & APIs: Anthropic Claude (primary), OpenAI, AWS Bedrock - Local / Self-Hosted LLMs: Ollama, LM Studio, llama.cpp, vLLM; open-weight model families (Llama, Qwen, Mistral, etc.) - Agent Frameworks: LangChain / LangGraph, LlamaIndex, OpenAI Agents SDK, or equivalent - Retrieval & Knowledge: Vector databases (Pinecone, Weaviate, pgvector); RAG, cache-augmented generation, tool-based agentic retrieval, GraphRAG, hybrid approaches - Voice AI: ElevenLabs, VAPI, LiveKit, Deepgram - LLM Observability & Eval: LangSmith, Braintrust, Phoenix, Helicone, or similar - AI-Assisted Development: Claude Code - RouteGenie Stack: Python, Django, PostgreSQL, Angular, TypeScript Qualifications - Experience: 3+ years of software engineering experience. - Production AI: 1+ year hands-on experience with production LLM / AI features shipped to real users (not prototypes or coursework). - Languages: Strong Python skills; comfort with TypeScript. - Frameworks: Hands-on experience with at least one agent framework and multiple retrieval/context-augmentation approaches. - APIs: Production experience with major LLM provider APIs from our Tech Stack. - Architectural Judgment: Sound judgment on AI architecture choices. Ability to select the right model and execution environment against cost, latency, accuracy, and data-residency constraints. - Quality Measurement: Demonstrated experience measuring AI feature quality in production. - Communication: Working professional English; strong async written communication for collaboration across Mexico, Europe, and US time zones. Requirements - Voice AI: Experience with Voice AI. NEMT dispatch and customer-service flows are voice-heavy, and voice agents will be a major product surface. - Regulated Data: Experience in a healthcare or regulated-data context (HIPAA, PII/PHI handling). - Self-Hosting: Local / self-hosted LLM experience running open-weight models on-prem or in a VPC. - Anthropic Ecosystem: Claude API / Anthropic SDK experience — including Claude-specific patterns. Preferred (Nice-to-Have) - LLM observability / eval tooling experience (LangSmith, Braintrust, Phoenix, Helicone, or similar). - Cost and latency optimization at LLM scale (prompt caching, model routing, token budgeting). - Traditional ML / data science background (model training, feature engineering, evaluation methodology). - Django / PostgreSQL background. - Multi-tenant SaaS experience. - Open-source AI contributions or public agent projects.

• Lead, support, enable and grow the AppSec team — owning hiring, onboarding, performance, and career development for a team of Senior and Staff-level Security Engineers. Important to understand: we're not looking for someone to dictate the roadmap or daily activities of the team. What we need is someone to enable the team to do what needs doing and to give them the best possible environment to do it in. • Own the formalisation of AppSec strategy and roadmap, translating team input, business risk and engineering context into a clear, prioritised programme of work with measurable outcomes. • Be a credible technical partner to your team — able to engage substantively on threat models, security architecture, agentic tooling design, and risk decisions, and willing to get into the details when it matters. • Define and maintain the team's operating rhythm: OKRs, quarterly planning, cross-team coordination, and stakeholder communication up to leadership. • Act as a key interface between AppSec and the rest of the organisation and leadership — building relationships with business leadership, engineering leads, the Developer Platform team, Architecture Working Group, and partner functions like Legal and Moderation, to embed security into how Synthesia builds. • Participate in maintaining and evolving Synthesia's approach to AI-assisted development security, including how we secure our own use of agentic coding tools and how we assess the security of AI-generated code. • Own AppSec's relationship with the broader Security function, ensuring tight alignment between AppSec and other Infosec teams on shared risks, incidents, and cross-cutting initiatives. • Represent AppSec externally where relevant — with customers, auditors, and in the context of compliance programmes such as SOC2 and ISO42001.