5+ years leading complex engineering software deployments in B2B SaaS or heavy industrial simulation.
Proven project management skills with experience negotiating across multiple teams.
Strong understanding of complex engineering applications and cloud-based data integrations.
Fluency in Portuguese and English; Spanish is a plus.
Experience with AI and automation frameworks to enhance productivity.
Responsibilities
Partner with Sales and Product Owners to create deployment blueprints and implementation plans.
Collaborate with SMEs to define project scope and manage resources effectively.
Ensure alignment of costs and efforts within commercial frameworks through PMO coordination.
Oversee the entire deployment lifecycle for Structural Performance Management solutions.
Track project milestones and manage quality control to resolve onboarding issues.
Transition deployed solutions to Customer Enablement and monitor customer health post-deployment.
Lead AI and Automation teams to optimize deployment workflows and enhance time-to-value.
Benefits
Opportunity to work with strategic global clients and cutting-edge technology.
Engagement in high-impact projects that drive value realization for customers.
Collaboration with cross-functional teams in a dynamic environment.
Professional development opportunities in AI and automation.
Flexible work arrangements to support work-life balance.
Full Job Description
Role Overview
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.
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.
