Note: The job is a remote job and is open to candidates in USA. Siemens is hiring an ICX Engineering Manager for the Americas to build and lead its customer-facing presales engineering team. The role combines hands-on delivery of agentic AI solutions with team development, senior customer engagement, and collaboration with global ICX leaders to evolve customer engagement practices.
Responsibilities
- As the ICX Engineering Manager for the Americas, you build and lead the Americas team of ICX Engineers — a presales FDE team that leads the ideation and creation of these engagements. They model a customer's domain as an enterprise ontology, build agents and machine learning that reason over it and act on it, and deliver working agentic applications that compel customers to invest in Intelligence Center X with Siemens
- Lead by example — build customer solutions yourself, and set the bar for how the team builds them
- Are a senior presence on key opportunities — with customers, and alongside sales leadership
- Recruit and grow the team — hire strong engineers, and develop them
- Evolve the global practice — work with global ICX leaders on how we engage with customers across every zone
- You work alongside sales teams and strategic partners, and report to the Americas Pre-Sales Leader
Skills
- Through formal management or team-lead roles, you have led customer-facing FDE, presales, services or other technical teams
- You still build
- You take ownership, move at startup pace and find a route to an outcome before the problem is fully defined — with some of the largest companies in the world
- You think in business value
- You are credible with customers and sales leadership alike
- Formal management or team-lead roles for customer-facing FDE, presales, services or other technical teams
- Leading client engagements and delivery teams in agentic AI, data and analytics at a consultancy or systems integrator
- Hiring strong people, coaching them and growing their careers
- Leading working sessions with technical and business stakeholders, including executives, on key opportunities
- Making sense of how a company's data is spread across its systems, bringing it together and modelling it
- Experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai
- Designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP
- Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well
- Modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise
- Building models that solve real business problems, such as forecasting, anomaly detection or classification
- Manufacturing, engineering, supply chain, pharma, aerospace or financial services
Benefits
- Health, dental, and vision insurance
- A 401(k) plan with company match
- Paid time off
- Professional development opportunities
Company Overview