Service Delivery Lead
AI Summary
The Service Delivery Lead owns the end-to-end deployment of Structural Performance Management software for strategic enterprise clients, managing execution from contract sign-off through operations and driving AI-driven workflow automation.
About this role
Akselos is a rapidly growing digital technology company headquartered in Europe, with operations in Southeast Asia and the USA. We’ve created the world’s most advanced engineering modeling and fastest simulation technology to protect the world’s critical infrastructure today and tomorrow. Focused on revolutionizing the Energy market, our technology pushes the boundaries of modern engineering and data analytics.
The opportunity
The Service Delivery Lead (SDL) is the ultimate execution authority responsible for turning won software and services contracts into active, value-generating enterprise deployments. Embedded inside customer-facing strike Teams, this role transitions accounts from commercial sign-off through configuration execution to operations. The SDL leverages engineering-led rigor and advanced AI-driven automation to accelerate implementation and shrink time-to-value for strategic global clients. Post-deployment, the SDL manages the operations of the deployed SPM instance, ensuring active dialogue and value realization for the customer.
Preferred locations: Houston, TX, USA or Porto, Portugal.
Key responsibilities
Strategic engagements & Pre-Sales Scoping
- Deployment Blueprinting & Planning: Partner with Sales and Product Owners in value workshops to map the 'Configure & Install' framework. Delineate technical paths and prepare implementation plans with effort estimates.
- Scope & Resource Management: Collaborate with SMEs to explicitly lock down engineering scope boundaries and delivery timelines. Optimize project team resourcing and prevent unnecessary feature creep to conserve developer bandwidth.
- PMO Coordination: Ensure cost and effort alignment within proposed commercial frameworks.
Account deployment & execution
- End-to-End Delivery Ownership: Securely manage and execute the entire Structural Performance Management (SPM) solution deployment lifecycle for strategic enterprise accounts.
- Project & Quality Control: Track baselines and milestones, manage financial fulfillment, and spearhead the resolution of onboarding friction. Partner with QA to ensure deployed instances pass UAT and engineering standards.
- Support Handover & Operations: Cleanly transition deployed solutions to Customer Enablement. Post-deployment, manage operations, monitor customer health, and animate Structural Digital Twin use cases.
AI Adoption & Delivery Acceleration
- Workflow Automation: Lead AI and Automation Strike Teams to systematically optimize blueprinting paths for primary heavy industry asset models (e.g., Piping, Pipelines, Cokers, Reactors, SMRs).
- Time-to-Value Optimization: Embed agentic capabilities and expand AI-assisted workflows into routine deployment procedures.
Requirements & Qualifications
- Professional Experience: 5+ years leading complex engineering software deployments in B2B SaaS, Downstream/Upstream energy, or heavy industrial simulation.
- Project Management: Proven ability to negotiate across Sales, Product, and Backend Engineering validation gates to deliver on schedule. Agile expertise in handling deployment sprint cycles.
- Technical Rigor: Highly comfortable with complex engineering applications, technical engineering information, and cloud-based data integrations.
- Language Skills: Fluency in written and spoken Portuguese and English is mandatory. Spanish and other language skills are a plus.
- Automation Mindset: Demonstrated interest or experience leveraging AI copilots, agentic scripts, or automated frameworks to actively scale productivity.
Skills
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