Responsibilities
- Owning the Mazlan agent platform roadmap, prioritising new capabilities and workflow depth based on customer needs, adoption data, and platform maturity
- Building clear business cases for platform investments, defining success metrics upfront and tracking activation, engagement, and workflow completion post-launch
- Running structured discovery with enterprise customers and internal domain experts to identify high-value automation and decision support opportunities
- Creating working agent prototypes and workflow stubs using agentic tooling to validate interaction design and customer value before engineering commitment
- Producing engineering ready specifications that define agent interaction flows, orchestration logic, context handling, confidence gating, and evaluation criteria
- Monitoring platform usage signals to understand how customers are integrating Mazlan into daily work and where friction or drop off occurs
- Representing Mazlan in commercial forums, customer advisory boards, and enablement sessions, translating platform capabilities into compelling customer value
- Partnering closely with Product and Sales leadership to align platform priorities with commercial targets and customer segment strategy
Requirements
- Proven experience owning the roadmap for an AI or agentic product in a B2B SaaS environment, where model behaviour forms part of the user experience
- Hands on fluency with modern AI and agentic tooling (such as Claude, Claude Code, Cursor, or equivalents) to prototype and validate ideas independently
- Strong platform product mindset, with the ability to think in systems, interaction patterns, orchestration behaviours, and failure modes
- Commercially grounded decision maker, comfortable building business cases, prioritising for impact, and discussing adoption and revenue with senior stakeholders
- Demonstrated experience running structured discovery with enterprise customers and translating complex input into clear, scalable product capabilities
- Confident communicator across disciplines, able to engage deeply with both engineering teams and commercial leadership
- Familiarity with agentic AI concepts such as multi agent coordination, routing, and conversation state from a product perspective
- Experience or interest in regulated industries (EHS, Quality, Compliance, or similar) is beneficial but not essential.
Core Competencies
Demonstrates expertise in managing AI and agentic product roadmaps within a B2B SaaS environment, focusing on customer needs and platform maturity. Proficient in building business cases, defining success metrics, and engaging with stakeholders to drive product adoption and value.