Head of Product Accelerators

About the role

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Requirements

• 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

• 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.