Engineering Manager

• Set the technical and execution direction for a full-stack team delivering a cohesive patient experience
• Shape the strategy and evolution of AI-enabled patient experiences
• Partner with Product and Design to simplify complex healthcare workflows for patients
• Turn ambiguous patient and business problems into priorities and executable plans
• Coordinate across engineering teams and systems to connect patient-experience capabilities
• Coach and develop engineers while engaging with technical decisions, product tradeoffs, patient feedback, and data
• Own engineering execution and direction for a highly visible product area
• Partner with Product, Design, Data, and engineering teams across Ro
• Support treatment-journey experiences, including treatment-plan coordination and care-team counseling and support

Engineering Manager – Patient Experience

• Lead a team of 7 engineers, ranging from early-career to senior, supporting their growth through clear expectations, coaching, and feedback
• Define the team’s long-term direction with Product, balancing new capabilities with investments in reliability, data quality, and scale
• Dive into technical design and execution, helping the team make sound decisions across the product suite
• Drive projects from ambiguous customer problems through launch, adoption, and ongoing improvement
• Work directly with customers and go-to-market partners to shape solutions, explain tradeoffs, and set realistic commitments
• Build a team that delivers consistently and takes ownership of customer outcomes and system health

• Lead, coach, and develop a multidisciplinary team of machine learning, data, and backend engineers
• Provide technical leadership on complex ML systems, including modeling strategy, implementation, technical tradeoffs, risks, and decisions
• Represent and advocate for the team with cross-functional stakeholders across business, product, insights, and personalization
• Empower engineers to own technical decisions while providing direction and resolving tradeoffs when needed
• Serve as the point of contact for cross-functional partner requests and protect the team’s focused work time
• Own healthy delivery, prioritization, capacity management, operational health, and reliable execution
• Stay close to engineering craft and contribute hands-on to technical problem solving and engineering work when useful
• Help the team use AI effectively in engineering workflows and identify opportunities for AI to improve ML systems
• Hire and onboard engineers and build resilient team capabilities and knowledge distribution

Machine Learning Engineering Manager – Music

• Lead a cross-functional group of engineers across iOS, Android, and backend platforms
• Partner closely with Product and Design
• Improve the speed, reliability, and ease of covering games
• Coach and develop engineers through clear expectations, growth opportunities, feedback, and accountability
• Define delivery goals and shape priorities with cross-functional partners
• Navigate trade-offs and surface risks proactively
• Set and maintain standards for engineering craft and system reliability
• Hire and onboard strong engineers
• Evaluate values alignment, skill fit, and AI fluency
• Contribute to engineering culture and organizational effectiveness through cross-team initiatives
• Report to the Director of Engineering for Basketball

Senior Engineering Manager, Basketball Coverage

• Manage engineers up to senior, hold a high bar, and give direct, actionable feedback
• Coach engineers on execution and help strong engineers step up toward tech lead
• Review architecture, agent, prompt, and eval design on engagements
• Handle hard technical and client situations, including production regressions and unclear requirements
• Raise trouble early while it is cheap to fix
• Run engagement-level relationships with clients and stakeholders alongside product and client partners
• Manage team transitions, plan ahead, and flag risks before they reach a client
• Escalate conflicts across engagements to the Head of Engineering
• Interview, calibrate, close, and onboard new engineers
• Follow team practices, identify what is not working, share patterns with the wider team, and ensure engineers use existing practices

Engineering Manager, Applied AI

• Start on a client engagement to learn the work and identify where engineers get stuck
• Build and lead an engineering team
• Provide direct, actionable feedback and develop senior engineers into tech leads
• Set clear priorities and expectations
• Review architecture, agent, prompt, and evaluation design
• Handle difficult technical and client situations, including production regressions and unclear requirements
• Identify and escalate risks early
• Turn patterns across engagements into standing practices, reference implementations, and platform capabilities
• Improve the speed of subsequent engagements
• Shape staffing assignments and plan transitions
• Run hiring for the team from sourcing through onboarding
• Work with product, client partners, and client stakeholders to ensure successful engagements

Senior Engineering Manager, Applied AI

• Lead, engage, and develop a global team of approximately 12 senior engineering professionals
• Foster a culture of ownership, systems thinking, collaboration, and continuous improvement
• Coach and develop senior engineers in technical leadership, stakeholder influence, and commercial acumen
• Build organizational capability through mentoring, succession planning, and investment in technical and leadership growth
• Drive adoption of standard technical solutions across the Heavy Duty New Unit portfolio
• Partner with Commercial, Regional Customer Application Engineering, Product Management, Systems Engineering, and Proposal Engineering teams to develop competitive, scalable solution strategies
• Identify gaps between market requirements and standard offerings and recommend improvements
• Promote standard work, Lean principles, and best practices to improve solution quality, consistency, productivity, and cycle time
• Lead governance processes and cross-functional forums for evaluating and dispositioning solution and configuration deviations
• Drive continuous improvement in governance effectiveness, decision quality, and cycle time
• Leverage market trends, competitor intelligence, customer value drivers, and bid feedback to improve competitiveness and shape future solution strategies
• Support early customer engagement and influence long-term product, standards, and application roadmaps
• Develop and maintain tools, processes, and best practices for global solutioning activities

Senior Engineering Manager, Value Solutions

• Lead, mentor, and develop individual contributors across multiple teams
• Build a culture of ownership, accountability, collaboration, and continuous improvement
• Drive career growth frameworks, performance management, and succession planning
• Provide strategic technical direction with architecture and product leadership
• Guide teams in designing scalable, secure, and high-quality systems
• Champion code quality, observability, automation, and DevOps maturity
• Modernize technology, simplify architecture, and reduce technical debt
• Establish and monitor engineering performance, quality, and reliability KPIs
• Lead continuous improvement initiatives across the engineering organization
• Optimize team structures, resource allocations, and processes for scale
• Oversee vendor or contract engineering relationships when relevant
• Partner with Product, Design, Data, Security, and Infrastructure teams
• Communicate technical decisions, trade-offs, and risks to executive leadership
• Ensure engineering alignment with organizational goals and compliance requirements
• Periodically work outside standard business hours during infrastructure upgrades and/or releases

• Lead the operation and continuous improvement of the RTDS laboratory, including test automation, tool enhancements, process development, and long-term capability development
• Manage and develop the local STATCOM engineering team, including work planning, prioritization, coaching, mentoring, and performance management
• Own verification and validation scope on projects, including deliverables, schedules, technical interfaces, and compliance with customer requirements
• Plan and oversee control system, protection, and system-level testing, including laboratory validation, hardware-in-the-loop testing, and commissioning support
• Review test results, drive issue resolution, and ensure timely closure of validation findings
• Support customer discussions, technical reviews, and tendering activities related to testing and validation
• Ensure high-quality technical documentation, including validation plans, procedures, specifications, and test reports
• Promote safe laboratory operations by identifying EHS risks and implementing improvements
• Foster accountability, collaboration, technical excellence, and continuous improvement

Engineering Manager, Verification and Validation – STATCOM

• Lead and grow a team of 3-5 engineers, set expectations, support career development, and hold a high hiring bar
• Own execution of the observability and evaluation roadmap
• Stay hands-on with Python code, debug production issues, and make tactical contributions
• Partner with other product teams to translate voice-agent quality signals into actionable tooling and metrics
• Own the reliability and scalability of complex external and internal integrations
• Support the Copilot product roadmap in collaboration with Product
• Remove blockers for the team and resolve cross-functional friction
• Participate in sourcing, interviewing, and onboarding
• Own observability tooling, evaluation frameworks, integrations, and the customer-facing Copilot product