Pearson Logo

Pearson

Senior Software Engineering Manager

Posted 2 Days Ago
Be an Early Applicant
Hybrid
2 Locations
200K-215K Annually
Senior level
Hybrid
2 Locations
200K-215K Annually
Senior level
Lead and scale a distributed engineering organization (10–20 engineers) for the Insights & Recommendations domain. Drive people leadership, hiring, performance management, and predictable delivery across multiple Scrum teams. Provide architectural oversight for data-driven applications, analytics pipelines, and web platforms while partnering with Product, Design, and Analytics to meet business outcomes.
The summary above was generated by AI

Senior Software Engineering Manager – Pearson Learning Studio 

Pearson Learning Studio (PLS) 

We are seeking a Senior 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 8–16 engineers across multiple Scrum pods, 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 10–20 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 across multiple Scrum teams.  

  • 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.  

 

Technical Leadership & Strategy 

  • 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.  

 

Agile & Cross-Functional Leadership 

  • 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.  

 

Required Qualifications 

  • 8+ years of engineering leadership experience, including managing teams of 10+ engineers 

  • 12+ 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 (multiple teams) 

  • Excellent communication, stakeholder management, and organizational leadership skills.  

  • Bachelor’s degree in Computer Science, Engineering, or related field.  

 

Preferred Qualifications 

  • 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 

  • Prior experience managing managers or tech leads (second-line leadership) 

 

This is a hybrid work setup, where the candidate will be required to work three days onsite at our Hoboken office.

Applications will be accepted through April 24. 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 role is between $200,000 - $215,000

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

Pearson Hoboken, New Jersey, USA Office

221 River St, Hoboken, Hoboken, NJ, United States, 07030

Similar Jobs

2 Days Ago
In-Office or Remote
Basking Ridge, NJ, USA
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design and delivery of scalable backend services, event-driven microservices, data pipelines, and AI/ML features. Ensure production readiness (CI/CD, testing, monitoring), optimize databases, mentor engineers, and collaborate cross-functionally to deliver roadmap initiatives.
Top Skills: AWSAzureCassandraCi/CdDockerGCPGrpcJavaKafkaKubernetesLlmsMlopsMongoDBMonitoring/AlertingMySQLOraclePgvectorPineconePostgresPrompt OrchestrationPythonRestVector SearchWeaviate
3 Days Ago
Remote or Hybrid
US
204K-328K Annually
Senior level
204K-328K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
Lead and grow a platform and infrastructure engineering team (Infrastructure/SQL reliability, Developer Experience, or Tooling). Hire, mentor, and manage delivery of quarterly roadmaps; remain technically engaged in design and code reviews; partner with product, SRE, and security to drive reliability, observability, CI/CD, and platform strategy. Own toolchain, reliability goals, and foster a culture of ownership and continuous improvement.
Top Skills: Ai-Assisted Anomaly DetectionAzureAzure SqlCi/CdContainerizationCosmos DbDevOpsDockerGitKafkaKubernetesMicrosoft .NetMongoDBObservability (Metrics/Logs/Tracing)OpentelemetryPostgresRedis
5 Days Ago
Remote or Hybrid
US
204K-328K Annually
Senior level
204K-328K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
The Senior Manager, Software Engineering is responsible for strategic execution, technical leadership, product advocacy, team scaling, and operational excellence, requiring advanced management and strong technical skills in C# and microservices.
Top Skills: C#DockerKubernetes

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account