Service Delivery Lead

Akselos•Houston, TX

About The Position

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.

Requirements

5+ years leading complex engineering software deployments in B2B SaaS, Downstream/Upstream energy, or heavy industrial simulation.
Proven ability to negotiate across Sales, Product, and Backend Engineering validation gates to deliver on schedule.
Agile expertise in handling deployment sprint cycles.
Highly comfortable with complex engineering applications, technical engineering information, and cloud-based data integrations.
Fluency in written and spoken Portuguese and English is mandatory.
Demonstrated interest or experience leveraging AI copilots, agentic scripts, or automated frameworks to actively scale productivity.

Nice To Haves

Spanish and other language skills are a plus.

Responsibilities

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.
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.
Ensure cost and effort alignment within proposed commercial frameworks.
Securely manage and execute the entire Structural Performance Management (SPM) solution deployment lifecycle for strategic enterprise accounts.
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.
Cleanly transition deployed solutions to Customer Enablement.
Post-deployment, manage operations, monitor customer health, and animate Structural Digital Twin use cases.
Lead AI and Automation Strike Teams to systematically optimize blueprinting paths for primary heavy industry asset models (e.g., Piping, Pipelines, Cokers, Reactors, SMRs).
Embed agentic capabilities and expand AI-assisted workflows into routine deployment procedures.