Intelligence Center X Engineering Manager (Americas) Mendix
Low-code platform for enterprise application development.
CDI
États-Unis d'Amérique
Télétravail total
197,3K à 394,6K $ par an
> 5 ans
Les compétences que l’on cherche
Coaching et mentorat
Machine learning
Formation et perfectionnement
Data engineering
GitHub
+5
Votre nouvelle entreprise
États-Unis d'Amérique
1400 collaborateurs
Software
L'avis de Welcome
Mendix’s low-code software helps companies build their own custom software applications more quickly and efficiently. It was founded in 2005 and didn't get much traction, only raising its first round of funding in 2011. Since then, the amount of software being built has exploded, giving Mendix a market to grow into. Research company Gartner predicts low-code application development will be responsible for more than 65% of application development activity by 2024. Siemens, one of the largest industrial companies, acquired Mendix in August 2018. Since then, Mendix has been developing new low-code applications, such as connectors for Amazon Web Services, staying in line with the increased interest in low-code tech.
Vos missions au quotidien
- Bring Intelligence Center X to life for leading companies, through business-relevant enterprise agentic AI use cases
- Build and lead the team that brings Intelligence Center X to life for leading companies across the Americas, through business-relevant enterprise agentic AI use cases
- 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
- This is a formal people-management role, and a player-coach one. You:
- 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
- In a given week, one of your engineers is connecting quality and supplier data for an aerospace manufacturer to find why defects keep reaching its customers. Another is building an agentic assistant that helps a pharma company make batch release decisions in hours rather than days
- You are with a third customer’s leadership team, shaping the next engagement. Your job is to make sure each one lands — and that what one engineer learns, the next one starts with
- You lead technical teams that work with customers. Through formal management or team-lead roles, you have led customer-facing FDE, presales, services or other technical teams
- You are hands-on with agentic AI and ontology. You still build, and your team follows your example
Benefits
- Work from home opportunities
- Family leave
- Retirement savings
- Commuter Benefits
- Generous Paid time off
- Outings & Events
- Training & Development
Ce que l’on cherche
- You are entrepreneurial. 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, and you are credible with customers and sales leadership alike
- Agentic AI — designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool use, MCP
- Senior customer presence — leading working sessions with technical and business stakeholders, including executives, on key opportunities
- Leading technical teams — formal management or team-lead roles for customer-facing FDE, presales, services or other technical teams
- Enterprise ontology — modelling a real business domain as an ontology or knowledge graph and putting it to work in an enterprise
- Recruiting and developing engineers — hiring strong people, coaching them and growing their careers
- Data engineering and analytics — making sense of how a company’s data is spread across its systems, bringing it together and modelling it
- Experience in our industries — manufacturing, engineering, supply chain, pharma, aerospace or financial services
- Agentic development tools — Claude Code, Cursor, GitHub Copilot or similar, used to build quickly and well
- Technical consulting leadership — leading client engagements and delivery teams in agentic AI, data and analytics at a consultancy or systems integrator
- Machine learning and data science — building models that solve real business problems, such as forecasting, anomaly detection or classification
- Modern data and AI platforms — experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai