Software Engineering Manager - Global Product Shared Services

Weatherford•Houston, TX

About The Position

Weatherford is seeking a motivated and experienced Engineering Manager to lead a high-performing, cross-functional engineering team responsible for the continuous delivery of product features and platform improvements. The role connects engineering execution with organizational strategy and is accountable for the team’s health, capability, and delivery output. The manager partners closely with Product Management to keep technical execution aligned with business outcomes. The position requires enough technical depth to participate in architecture discussions and code reviews, with most time focused on team effectiveness, people development, and delivery leadership. The manager leads engineers across varying seniority levels, supports their career development, and maintains a culture of psychological safety, continuous learning, constructive feedback, diversity, and inclusion. They own delivery health, planning, forecasting, quality standards, and continuous improvement, while coordinating with Product Owners, Product Managers, Technical Leads, and other functions. They also represent engineering in leadership and planning forums, support technical hiring, and contribute to technical roadmaps and engineering organization initiatives. Weatherford is a global energy services company whose experts partner with customers to optimize resources and realize the potential of their assets. The company describes its community as grounded in its core values and focused on innovative customer solutions. Weatherford is an Equal Opportunity Employer.

Requirements

10 years of software engineering experience, including at least 5 years in management.
Demonstrated success leading product engineering teams in Agile delivery environments.
Experience managing the full engineering delivery lifecycle from sprint planning through production deployment.
Proven ability to grow and retain engineering talent through coaching, mentoring, and structured development.
Practical understanding of software delivery metrics and experience using data to improve teams.
Experience contributing to technical hiring, including job design, interviewing, and candidate evaluation.
Ability to build high-trust, high-performance teams through consistent coaching and clear expectations.
Empathy, clarity, and directness in performance and development conversations.
Ability to navigate conflict constructively and maintain team cohesion during ambiguity.
Strong grasp of Agile delivery frameworks and ability to adapt practices to the team context.
Experience with dependency management, capacity planning, and delivery forecasting.
Data-driven approach to identifying bottlenecks and making process interventions.
Sufficient technical depth to participate in architecture discussions and code quality decisions.
Ability to identify engineering risk and challenge assumptions with informed questions.
Understanding of trade-offs between speed, quality, and maintainability in product delivery.
Ability to communicate engineering priorities and constraints to product and business stakeholders.
Ability to advocate for engineering investment, technical debt reduction, and platform improvements.
Ability to build trusted relationships with peers in product, design, data, and platform functions.

Nice To Haves

Experience in the Oil and Gas domain.
Familiarity with cloud infrastructure, CI/CD pipelines, and platform engineering concepts.
Experience implementing or scaling developer experience improvements across teams.
Exposure to AI-assisted development tooling and curiosity about productivity automation.
Experience managing distributed or cross-functional teams across geographies.

Responsibilities

Directly manage engineers across varying seniority levels, providing coaching, feedback, and career development support.
Conduct regular one-on-one meetings with direct reports to maintain alignment, surface blockers, and support individual growth.
Lead structured performance reviews and merit calibrations in partnership with HR.
Identify team skill gaps and develop capability-building plans through mentoring, training, and hiring.
Foster psychological safety, continuous learning, constructive feedback, diversity, and inclusion.
Own the team’s delivery health and ensure sprint commitments are realistic, tracked, and met consistently.
Partner with Product Owners and Product Managers to align capacity with priorities and communicate delivery forecasts.
Facilitate Agile ceremonies, including sprint planning, retrospectives, and quarterly planning sessions.
Monitor delivery metrics, including velocity, cycle time, deployment frequency, and change failure rate, and act on them.
Identify systemic delivery risks, remove organizational impediments, manage dependencies, and escalate cross-team blockers.
Establish and enforce standards for code quality, testing, documentation, and deployment practices.
Maintain adequate test coverage, code review rigor, and adherence to the definition of done.
Drive automation-first practices across the delivery lifecycle.
Monitor production health through observability metrics and lead post-incident reviews focused on systemic improvement.
Partner with the Technical Lead to ensure architectural decisions align with long-term platform strategy.
Serve as the primary engineering contact for Product Management and other support functions.
Represent engineering in leadership forums, quarterly business reviews, and planning sessions.
Communicate engineering progress, risks, and trade-offs to non-technical stakeholders.
Collaborate with Talent Acquisition on role requirements, structured interviews, and data-informed hiring decisions.
Align shared engineering standards, tooling, and practices across the organization.
Participate in code reviews, architecture discussions, and design document reviews.
Contribute to technical roadmap planning and translate business objectives into sequenced engineering initiatives.
Evaluate and introduce tools, frameworks, and practices to improve developer experience and delivery outcomes.
Apply AI-assisted development and productivity tooling to accelerate delivery without sacrificing quality.
Drive continuous improvement through retrospectives, blameless post-mortems, and structured process reviews.
Track team capacity, attrition risk, and onboarding timelines to support continuity of delivery.
Contribute to engineering organization initiatives, including hiring programs, onboarding improvements, and capability frameworks.