Senior Software Engineering Manager

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.

• 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.

• Own end-to-end delivery for the Insights & Recommendations domain.
• Establish predictable execution rhythms ensuring on-time high-quality releases.
• Partner with Product Design and Analytics to translate strategy into clear engineering roadmaps.
• Identify risks early and proactively remove organizational technical or process bottlenecks.
• Drive operational excellence including metrics KPIs and continuous improvement initiatives.

• Provide architectural oversight for data-driven applications analytics pipelines and web platforms.
• Guide teams on best practices in SQL data systems ReactJS and Java-based services.
• Ensure scalable system design performance optimization and reliability.
• Lead technical design reviews and promote sound engineering decisions across teams.
• Balance hands-on involvement (as needed) with effective delegation to senior engineers and tech leads.

• Champion Agile best practices across multiple teams (planning backlog management retrospectives).
• Align engineering efforts with business outcomes and customer impact.
• Collaborate with global stakeholders across time zones with strong communication discipline.
• Drive transparency through clear reporting stakeholder updates and data-driven decision-making.

• 5 years of engineering leadership experience including managing teams of 5 engineers.
• 8 years of overall experience in software engineering.
• Proven experience scaling and leading distributed engineering teams across geographies.
• Strong technical background in:
  • SQL & data analytics systems
  • ReactJS
  • Java-based backend systems
• Demonstrated success in delivering data-driven platforms or analytics products.
• Strong experience with Agile/Scrum at scale
• Excellent communication stakeholder management and organizational leadership skills.
• Bachelors degree in Computer Science Engineering or related field.

• Experience building or leading high-performing engineering organizations at scale.
• Experience in education technology and Learning science.
• Familiarity with cloud platforms (AWS Azure or GCP).
• Experience with data visualization and analytics frameworks.

Applications will be accepted through August 31. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set level of experience and specific location. As required by the California Colorado Hawaii Illinois Maryland Minnesota New Jersey New York State New York City Vermont Washington State and Washington DC laws the pay range for this position is as follows:

The full-time salary range for this position is between $150000 - $220000 Annually.

This position is eligible to participate in an annual incentive program and information on benefits offered is here.