Senior Software Engineering Manager
$150k - $175kPearson
AI Engineering Manager – Pearson Learning Studio Pearson Learning Studio (PLS) We are seeking an AI Engineering Manager to lead and scale our Agentic Workflow engineering organization within the Pearson Learning Studio (PLS) product. This leader will oversee a team of 5+ engineers, driving both technical excellence and strong people leadership in a globally distributed environment (India and Sri Lanka). This role is ideal for a leader who thrives at the intersection of people development, execution at scale, and data-driven product engineering. You will be responsible not just for delivery, but for building a high-performing, engaged engineering organization. Key Responsibilities Organizational & People Leadership (Primary Focus) * Lead, manage, and scale a distributed engineering team of 5+ engineers, including senior engineers and team leads. * Build a strong leadership bench by mentoring tech leads and emerging managers. * Drive performance management, including goal setting, regular feedback, and career development plans. * Foster a culture of ownership, accountability, psychological safety, and continuous learning. * Manage hiring, onboarding, and team capacity planning to support business growth. * Ensure high levels of team engagement, retention, and productivity across geographies. Execution & Delivery Excellence
- Own end-to-end delivery for the Insights & Recommendations domain.
- Establish predictable execution rhythms, ensuring on-time, high-quality
- Ensure scalable system design, performance optimization, and reliability.
- Lead technical design reviews and promote sound engineering decisions across
- Align engineering efforts with business outcomes and customer impact.
- Collaborate with global stakeholders across time zones with strong
- 8+ years of overall experience in software engineering.
- Proven experience scaling and leading distributed engineering teams across
- SQL & data analytics systems
- ReactJS
- Java-based backend systems
- Demonstrated success in delivering data-driven platforms or analytics
- Strong experience with Agile/Scrum at scale
- Excellent communication, stakeholder management, and organizational
- Experience in education technology and Learning science.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience with data visualization and analytics frameworks.
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