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 roadmap that delivers this infrastructure in a way that allows multiple product teams to adopt it progressively. Partner with product management, domain science, and research to ensure the agentic experience infrastructure reflects actual customer workflow needs, where humans remain in the loop, empowered by visual comprehension and explainability rather than presented with AI outputs without context. Organization Leadership Lead a substantial engineering organization across the platform modernization and product accelerators work streams, managing through Engineering Managers and senior technical leads. Develop your engineering leadership team by setting clear expectations, providing regular feedback, and building a bench of strong managers and technical leads who can grow with the organization. Manage the engineering budget for this organization, covering headcount, tooling, cloud infrastructure, and research investments. Represent Product Accelerators in executive planning, product strategy forums, and with key technology partners. Define and track the engineering and product outcomes that demonstrate this organization is delivering on its mission, including product team velocity improvements, time‑to‑integration for shared components, adoption rates, and agentic capability delivery milestones. Required What You Will Bring Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related STEM discipline, or equivalent professional experience. 12+ years of software engineering or engineering leadership experience. 5+ years leading engineering organizations, with direct management of Engineering Managers or senior technical leads. Demonstrated experience leading architectural modernization of a complex, shared software platform to enable product team independence. Strong technical depth in distributed systems, platform architecture, or shared component design, sufficient to lead architectural decisions and earn the trust of senior engineers. Track record of delivering complex, multi‑team technical programs with accountability for quality, timeline, and technical outcome. Strong executive communication skills, with the ability to represent a technically complex strategy to business leadership and translate architectural decisions into business outcomes. Preferred Experience designing and delivering embedded component libraries or shared UI and visualization component systems consumed by multiple product teams. Familiarity with 3D rendering, scientific visualization, or high‑performance graphics engineering, either through direct experience or leadership of teams doing this work. Experience building shared infrastructure for AI or ML capabilities, such as inference serving, agent orchestration, human-feedback integration, or LLM tooling, at product scale. Understanding of what “human in the loop” means in the context of domain‑expert workflows: where AI augments rather than replaces expert judgment, and how software design supports that distinction. Familiarity with the energy industry’s technical workflows and the kinds of decisions that domain scientists and engineers make with software, sufficient to reason about what agentic AI experiences should look and feel like for these users. Experience managing globally distributed engineering organizations across multiple time zones. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. Why Landmark This is a technically unusual role that requires the judgment to modernize a complex shared architecture and the vision to define what comes next. Both parts of the mission matter: the platform modernization work has immediate, measurable impact on product team velocity, and the accelerators work shapes how Landmark competes in the AI era. You will have CTO‑level sponsorship, a real team and budget, and the scope to make decisions that will define Landmark’s engineering architecture for the next decade. We build small, high‑ownership teams and invest in the quality of every person on them. Engineers here co‑author the product strategy alongside product management and domain science: the art of the possible is an engineering contribution, not a function that sits upstream. The experiences we design ensure that customers remain in control of the decisions that matter, never passengers in their own workflows. We offer competitive compensation including bonus and long‑term incentive programs, and the opportunity to lead work that is genuinely novel in the energy software industry. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher‑level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from Senior Manager up to Director. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States Job Details Requisition Number: 207448 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Full Time / Part Time: Full Time #J-18808-Ljbffr MyPetroCareer.com