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We’re looking for a Tech Innovation Strategist to lead the vision, strategy, and execution of AI solutions driving growth and efficiency at Coursera. This role is housed within one of the high-performing and high-impact teams at Coursera—a cross-functional group that operates like a skunkworks unit. We move fast, tackle high-stakes problems, and build solutions that change the way the entire organization operates. As Tech Innovation Strategist, you won’t just work on projects driving incremental efficiencies via AI in the company—you’ll be expected to: Conceptualize and drive transformative ideas within existing processes and whitespaces that have the potential to shape how Coursera works. Move with high velocity, showing strong bias for action, clarity in ambiguity, and an internal drive to make an outsized impact. You’ll work with stakeholders across every function—from Enterprise Business, Content and Credentials, Marketing, Legal, Finance, Services, and Customer Support—to build powerful, scalable AI-led solutions.
Job Responsibility:
Define Strategy & Roadmap: Own the vision, execution strategy, and success in solving complex, ambiguous problem statements to drive efficiencies
Build AI-Powered Systems: Envision and integrate emerging technologies—LLMs, agents, RAG, LangChain, vector DBs—to automate and augment Coursera’s workflows
Transformational Thinking: Deeply understand Coursera’s business units and workflows, challenge the status quo and reinvent with transformational AI-first ideas
Cross-functional alignment: Work with multiple cross-functional teams in Coursera to identify efficiency and growth use-case and ensure alignment across all phases of the project
End-to-End Execution: Write crisp product requirements, prioritize ruthlessly, and work with engineers, designers, and cross-functional teams to deliver
Launch & Drive Adoption: Roll out tools, track usage and performance, and ensure solutions drive meaningful business impact
Continuously Innovate: Constantly identify opportunities to eliminate toil, automate repetitive tasks, and turn operational pain points into leverage
Collaboration with Technical Teams: Work closely with AI/ML engineers, data scientists, data analysts to conceptualise and execute deeply impactful solutions
Requirements:
4-7 years of product management or technical consulting experience—ideally in cross-functional business enablement teams
Excited about AI and have hands-on experience building products using AI agents, RAG, vector databases, multi-agent systems, etc.
Thrive in high-velocity environments and know how to execute with speed and focus
Bring a builder’s and innovator’s mindset, can think outside the box and enjoy challenging the status quo
Are a strategic thinker and tactical executor—you zoom out to reshape how teams work, and zoom in to write great PRDs and track key metrics
Love understanding complex internal workflows and simplifying them through elegant process / automation solutions
Are a clear communicator who builds trust across teams and drives alignment in ambiguous, fast-moving environments
Have experience working across multiple functions, cross-functional teams, and building tools for a diverse set of users
Are deeply motivated by Coursera’s mission of transforming lives through learning—starting with transforming how we work internally
Nice to have:
Previous experience in coding as a software engineer or a good understanding of the software development lifecycle
Hands-on prototyping experience with AI tools like Cursor and Claude Code
Experience working with low-code/no-code automation tools (e.g., Retool, Salesforce, ServiceNow)
Technical background or familiarity with API design, data modeling, and enterprise architecture