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About the job
Location: US Remote
Company: LearningMate (a Straive company)
Experience: 8–14 Years
Employment Type: Full-Time
About us:
We are LearningMate (a Straive Company) - Energizing the Educational Landscape!
Dedicated to transforming learning and development via cutting-edge technological solutions, LearningMate is a trailblazing one-stop shop for education technology. With a goal of improving educational experiences and empowering students, the firm has emerged as a leader in the field. Together with the recently acquired DoubleLine, LearningMate is a part of the Straive group and uses technology, digital media, large-scale data, and solutions to build strong, firm foundations in engineering and learning design. This helps to close the gap that exists between students, teachers, and content curators. The biggest publishers, universities, and government education departments worldwide use LearningMate's solutions to assist in developing, implementing, and streamlining their digital infrastructure.
We are honored to be our clients' top choice for solutions thanks to our wide range of offerings, and we lead the charge to improve access to, affordability of, and effectiveness of future education, enabling more students and learners. With more than 3500 employees, we are a powerful force in the US, the UK, South Africa, and India.
Learn more at www.learningmate.com.
About the Role
LearningMate is seeking an execution-driven Technical Project Manager (TPM) to anchor end-to-end delivery within our 3-in-a-Box operating model (Principal Architect + Delivery Lead + Customer Success Director).
This is not a passive coordination, meeting scheduling, or spreadsheet tracking role. You will sit directly in the line of execution—bridging complex client business requirements and engineering realities, holding engineering pods accountable to code delivery milestones, and actively using modern AI-assisted engineering tools to accelerate delivery cycles.
What You Will Do
- End-to-End Technical Delivery: Own sprint execution, architectural milestones, release schedules, and quality gates across cross-functional engineering pods (Developers, AI/ML Engineers, QA, and Data Architects).
- 3-in-a-Box Partnership: Collaborate closely with US-based Customer Success Directors and Principal Architects from Day-0 discovery through production release to eliminate handoff friction.
- Hands-On AI Enablement: Actively leverage GenAI tools, LLM pipelines, and automated workflows in daily project execution, code review coordination, estimation pressure-testing, and client deliverables.
- Technical Risk Mitigation: Identify technical risks early (data pipeline bottlenecks, API latencies, model accuracy shifts, third-party dependencies) and drive concrete engineering solutions rather than passive RAID logging.
- Executive Client Communication: Serve as the primary technical delivery interface for global enterprise clients (Higher Ed publishers, universities, and platforms), translating complex engineering trade-offs into structured executive updates.
- Engineering Rigor: Enforce clean code standards, CI/CD pipeline discipline, and automated test coverage to ensure high availability and SLA adherence.
What We Are Looking For
- Hands-on Engineering & AI Depth:
- Engineering background (started as a software developer, data engineer, or QA automation engineer) with the ability to read code, review PR workflows, and evaluate architectural trade-offs.
- Real-world experience delivering or managing software integrated with AI/ML systems (RAG pipelines, vector search, LLM orchestration, model routing, or data governance).
- Active, daily user of modern AI developer tools (Claude Code, GitHub Copilot, OpenAI APIs, or custom agent harnesses) not just basic conversational prompting or automated status summaries.
Delivery Leadership & Scale:
- 8+ years of total IT experience, with at least 4+ years leading multi-pod agile software delivery teams (30–50+ engineers).
- Solid grasp of distributed systems, cloud infrastructure (AWS/Azure/GCP), microservices, and modern API architectures.
- Proven track record of resolving critical delivery bottlenecks through technical refactoring, root-cause analysis, and team realignment.
- Executive Communication & Ownership:
- Crisp, structured verbal and written communication suitable for executive US/global stakeholders.
- High agency and end-to-end accountability with zero tolerance for passive "not my job" handoffs.
- Flexibility to support overlap hours for collaboration with US client teams and onshore leadership.
Preferred Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Domain Knowledge: Prior experience in EdTech / Higher Ed (Preferred).
- Certifications: PMP, CSM, or cloud/AI certifications are a plus, but secondary to demonstrated execution track record.
