Head of Product Accelerators

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

 

About Landmark: Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies. This role leads one of the most technically important efforts in Landmark’s engineering by building shared accelerators that power the next generation of AI-enabled software.

 

You will define this strategy and build it from the ground up, leading a substantial engineering organization.

 

About the Role: This role has two distinct phases that form a coherent strategic arc.

 

Near term: platform modernization. Landmark’s product portfolio is built on a shared internal platform that provides common capabilities across multiple products. Your first mission is to lead the evolution of that platform: rationalizing shared dependencies, enabling independent delivery cadences across product teams, and establishing the architectural patterns that allow each product to move at the pace its team is capable of. This is a deliberate, sequenced program with high cross-team visibility and direct impact on how fast Landmark ships.

 

Enduring mission: product accelerators. As that modernization takes hold, this organization transitions to owning the key shared capabilities that Landmark’s product portfolio will be built on going forward. The first and most important of these is visualization core: not a standalone visualization application, but an embedded component layer that product teams integrate to provide high-performance 3D and scientific rendering in their own applications. The longer arc is broader, involving common components that enable agentic experiences in and across Landmark’s application portfolio. This means the shared infrastructure for human-in-the-loop AI workflows, including reasoning interfaces, explainability components, visual comprehension layers, and agentic orchestration primitives that product teams will use to deliver AI-enabled capabilities to customers without rebuilding the same foundations repeatedly.

 

WHAT YOU WILL DO

Platform Modernization (Phase 1)

• Lead the technical assessment and modernization plan for Landmark’s internal shared platform, understanding current dependencies, identifying rationalization opportunities, and sequencing a migration that enables product teams to adopt independent delivery cadences
• Define the target architecture: the line between what remains shared, what moves closer to product teams, and what gets retired
• Manage the transition in partnership with product engineering leaders, maintaining continuity for teams that depend on the current platform while progressively establishing the new model
• Build and lead the engineering organization that executes this work, including hiring, developing, and growing the team

Product Accelerators: Visualization Core

 

• Define the strategy, architecture, and delivery roadmap for Landmark’s visualization core as an embedded component layer, a high-performance 3D and scientific rendering capability that product teams integrate into their own applications
• Lead the engineering team that builds and maintains this component layer, ensuring it meets the performance, reliability, and integration ergonomics that product teams require
• Work directly with product engineering leaders to understand integration requirements and ensure the visualization core serves as a genuine accelerator that reduces the effort required to deliver rich visualization capabilities, rather than a coordination bottleneck. 

Product Accelerators: Agentic Experience Infrastructure

• Define Landmark’s strategy for the common components that enable agentic AI experiences across the application portfolio: the shared infrastructure for human-in-the-loop workflows, visual explainability, reasoning interfaces, and agentic orchestration that product teams will build on
• Build the engineering team and