Engineering Manager - Unconventional Technology

About Landmark

Landmark, a Halliburton business line, provides the industry’s most comprehensive suite of digital solutions for exploration, drilling, and production optimization. Its software and data platforms empower customers to model subsurface assets, manage drilling risk, and accelerate decision-making through cloud, AI, and advanced analytics. 

About the Role

The Engineering Manager leads the team that builds Landmark’s production engineering and optimization software, the tools engineers use to monitor well performance, optimize artificial lift and surface facilities, and forecast production. This role owns people management, predictable delivery, and technical direction, and applies expertise in delivery leadership, architecture, and AI-enabled engineering. Working closely with senior engineers, architects, and Product Management, the successful candidate will build a high-performing team and use AI to build software faster and create AI-powered systems.

This position suits an experienced engineering manager, or a senior engineer or technical lead ready to move into people management. Domain knowledge is valuable but not required. The team’s stack includes Java, C#/.NET, C++, Python, Rust, TypeScript (Angular, React, Node.js), Azure and AWS, Docker and Kubernetes, and databases such as PostgreSQL, SQL Server, Oracle, MongoDB, and Databricks.

Key Responsibilities

• Lead the team delivering production engineering and optimization software through complex, multi-quarter work, owning predictable delivery and the outcomes the team commits to.
• Shape the architecture and technical roadmap of the products you own, partnering with senior engineers and architects on decisions that hold up across multiple releases.
• Drive the use of AI to build software faster, infuse AI into the team’s engineering processes, and design and build AI-powered features and systems.
• Scope major technical work by validating estimates, identifying risks, and defining the delivery approach; challenge the process when it produces slow feedback, unnecessary risk, or poor outcomes.
• Serve as the escalation point for architectural disagreements, production issues, and deep technical unknowns, bringing in the right expertise and driving resolution.
• Partner with Product Management and architects to design new applications and major enhancements, translating product goals into concrete technical plans.
• Evaluate architecture and implementation for performance, scalability, and security weaknesses, and see improvements through to resolution.
• Set and enforce code quality, security, and architectural standards, and own technical debt by deciding what matters and getting it into the delivery plan.
• Manage and mentor engineers through performance reviews, development plans, career conversations, and honest feedback, developing senior engineers and emerging managers into stronger leaders.
• Define how teams work and coordinate, including delivery cadence, ownership boundaries, and the bar for hiring and promotion, and staff teams by matching people to work based on skill, growth need, and delivery priority.
  Manage stakeholder relationships and communicate delivery status, technical trade-offs, and risks upward, while staying current on tools and technologies, including AI-assisted development tools and Databricks, and leading adoption where they improve the product.

Qualifications

Required

• Bachelor’s degree in computer science, Software Engineering, or a related discipline, or equivalent experience.
• 10 or more years of software development experience, including 5 or more years managing people (performance, development, hiring) and leading the technical delivery of a software team.
• Deep proficiency in at least one of Java, C#/F# (.NET), C++, Python, Rust, or TypeScript (React, Angular, or Node.js), with a track record of delivering production software in that stack.
• Experience designing and owning the architecture of a complex software system or major subsystem, with technical decisions that held up across multiple releases.
• Demonstrated experience using AI to build software, infuse AI into engineering processes and workflows, and design or build AI-powered systems or features.
• Strong communication skills for discussing delivery outcomes with business stakeholders, architectural trade-offs with engineers, and career development with team members, with the ability to lead distributed, cross-time zone teams.

Preferred

• Experience leading multiple teams that together deliver a single product or technology.
• Experience with CI/CD pipelines, containerization, infrastructure automation, and cloud-native or data engineering technologies such as Azure, AWS, and Databricks.
• Experience leading teams in production engineering, reservoir engineering, or other technically complex or scientifically demanding application domains.
• Experience integrating machine learning, generative AI, or LLM-based components into production systems.
• Experience developing other engineering managers and senior engineers into stronger leaders.

World Class Benefits

Core Competencies

Engineering Management | People Management | Software Delivery Leadership | Software Architecture | Technical Roadmap | AI-Assisted Development | Generative AI | Production Engineering Software | Java | C# / .NET | Python | C++ | TypeScript / React / Angular | Azure / AWS | Docker / Kubernetes | CI/CD | Databricks | Hiring & Performance Management