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Salary: CAD 137,000 - 172,000 / annual
Coursera and Udemy have merged to create a unified platform serving 300+ million learners and 12,000+ enterprise customers. This role sits at the intersection of AI/Data Engineering, cloud architecture, and customer-facing solutions engineering.
You will join a fast-paced innovation team building and deploying AI-powered solutions directly with enterprise and campus customers. Operating across the full engagement lifecycle, you will scope customer environments and pain points like a consultant, rapidly prototype working demos in real time with customers, and harden validated solutions into production-grade, secure, and compliant deployments. This is a customer-facing role requiring regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases.
Key responsibilities include:
- Scoping customer environments directly with executive sponsors and IT/data owners to map systems, data models, and workflows and identify the real business problem
- Rapidly prototyping and demoing working solutions in front of customers, iterating in real time to prove value
- Serving as the bridge between customers and core engineering to harden validated prototypes into production deployments
- Designing and implementing multi-tenant, hybrid, or customer-controlled deployment architectures based on data residency, privacy, and IT-maturity requirements
- Building and owning identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments
- Bringing security, data-residency, and compliance judgment into discovery conversations before commercial commitments
- Owning CI/CD, observability, and production support for systems deployed in customer environments
- Recognizing repeatable patterns across engagements and feeding field evidence back to Product to inform standardization decisions
- Collaborating closely with Product Managers, AI Specialists, and Program Managers to scope problems with focus on customer and business impact
- Traveling to customer sites as needed to support scoping, prototyping, and go-live phases, including in-person workshops and executive readouts
You will work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers, own engagements end-to-end rather than narrow slices of a roadmap, and directly influence what graduates from custom solutions into Coursera's core product. You'll be part of a lean, cross-functional team with high autonomy and high trust.
REQUIREMENTS:
- 5+ years of software engineering experience with strong hands-on backend engineering and cloud infrastructure experience
- 1+ years of experience building production-grade agentic AI solutions
- Proficiency in backend languages (Python, Java, TypeScript) and technologies (Docker, Kubernetes, Kafka) with comfort working across the stack
- Deep understanding of cloud platforms (AWS preferred); able to design and operate both multi-tenant and hybrid customer-cloud deployment models
- Strong experience with data engineering fundamentals—ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems
- Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments
- Demonstrated comfort operating directly with customers—scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely
- Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally
- Prior experience leading projects and debugging complex issues with minimal supervision
PREFERRED QUALIFICATIONS:
- Experience with modern agentic AI tooling (LangChain, LangGraph, FastMCP, RAG, MCP)
- Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers
- Prior experience in solutions engineering, professional services, or technical consulting where you owned a customer relationship end-to-end, including on-site engagement
- Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (GDPR, FERPA, DPDPA, HIPAA)
- Demonstrated ability to work in fast-paced, ambiguous environments and make sound technical trade-offs with limited guidance
- Excellent communication skills to translate technical constraints into terms executives or non-technical stakeholders can act on
