Technical Product Manager

We are building production-grade agentic content workflows for English Language Learning. The platform uses AI agent architectures to generate and validate educational content at scale, serving multiple products across the organization. The team owns the end-to-end lifecycle: workflow design, LLM orchestration, evaluation, and production operations.

• 3–5+ years as a Technical Product Manager in software engineering teams.
• Strong technical literacy: comfortable with engineering concepts (APIs, CI/CD, cloud infrastructure, AI/ML pipelines). Not expected to code, but expected to understand the system.
• Experience working with AI/ML or data-intensive product teams (strong plus).
• Proven ability to manage backlogs, roadmaps, and delivery in an agile environment.
• Experience with Jira, Confluence, and standard agile tooling.
• Strong stakeholder management: ability to align multiple teams with competing priorities.
• Comfortable in ambiguous, fast-moving environments where scope evolves.
• Comfortable using AI tools to improve personal productivity and communication.
• Experience with newly formed or scaling teams, establishing rituals and processes from scratch.
• Excellent communication skills, written and verbal. Able to bridge technical and non-technical.
• Fluent English, spoken and written.

• Own the product roadmap for the agentic content workflow platform and translate business needs into actionable technical requirements.
• Define and prioritize the backlog in collaboration with the Engineering Manager, Tech Lead, and stakeholders.
• Drive sprint planning, scope definition, and release management across the squad.
• Act as the primary interface between the engineering team and downstream product squads that consume the workflows.
• Gather and synthesize requirements from multiple stakeholders.
• Track delivery against commitments: manage risks, dependencies, and trade-offs transparently.
• Coordinate cross-team initiatives, RFCs, and integration milestones.
• Facilitate sprint reviews and communicate progress, blockers, and outcomes clearly to leadership.
• Define and track success metrics for workflows: quality, throughput, adoption, cost.
• Manage Jira boards, roadmap artefacts, and delivery reporting.

We reserve the right to contact the selected candidates.