About The Position

Weatherford is seeking an experienced Engineering Manager to lead a high-performing, cross-functional software engineering team delivering product features and platform improvements for the energy industry. The role combines engineering execution with organizational strategy and is accountable for the team’s health, capability, and delivery outcomes. The manager partners closely with Product Management to align technical execution with business priorities and remains technically engaged in architecture discussions, code reviews, and design reviews while focusing primarily on team effectiveness, people development, and delivery leadership. The position leads people development, delivery planning, engineering quality, cross-functional collaboration, technical oversight, and continuous improvement. It includes coordinating team capacity and dependencies, communicating forecasts and risks, establishing engineering practices, supporting hiring, and contributing to engineering organization initiatives. Travel is expected to be less than 10% annually, both domestically and internationally.

Requirements

  • At least 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.
  • A proven record of growing and retaining 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 team context.
  • Experience with dependency management, capacity planning, and delivery forecasting.
  • A 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 risks and challenge assumptions with informed questions.
  • Understanding of trade-offs among delivery speed, quality, and maintainability.
  • Ability to communicate engineering priorities and constraints confidently 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

  • Manage engineers across seniority levels, providing coaching, feedback, and career development support.
  • Hold regular one-on-one meetings with direct reports and conduct performance reviews and merit calibrations 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 engineering team delivery health, including realistic sprint commitments, tracking, and consistent delivery.
  • Align engineering capacity with priorities and communicate delivery forecasts in partnership with Product Owners and Product Managers.
  • Facilitate Agile ceremonies, including sprint planning, retrospectives, and quarterly planning.
  • Monitor delivery metrics such as velocity, cycle time, deployment frequency, and change failure rate, and act on the findings.
  • Identify delivery risks, remove organizational impediments, manage dependencies, and escalate cross-team blockers.
  • Establish and enforce standards for code quality, testing, documentation, and deployment.
  • Maintain adequate test coverage, rigorous code reviews, and adherence to the definition of done.
  • Drive automation-first practices across the delivery lifecycle.
  • Monitor production health using observability metrics and lead post-incident reviews focused on systemic improvement.
  • Partner with the Technical Lead to align architectural decisions with long-term platform strategy.
  • Serve as the primary engineering contact for Product Management and other Support functions.
  • Represent the team in leadership forums, quarterly business reviews, and planning sessions.
  • Communicate engineering progress, risks, and trade-offs to non-technical stakeholders.
  • Partner with Talent Acquisition to define roles, participate in structured interviews, and make 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 roadmaps by translating 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 tools to accelerate delivery without sacrificing quality.
  • Drive continuous improvement through retrospectives, blameless post-mortems, and structured process reviews.
  • Monitor team capacity, attrition risk, and onboarding timelines to support delivery continuity.
  • Contribute to organization-wide initiatives, including hiring programs, onboarding improvements, and capability frameworks.
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