Key responsibilities :

1. Product vision & strategy :

- Define and articulate the vertical product vision aligned to CIMET's business goals and growth roadmap.

- Own the product lifecycle from ideation and research to launch and post-release optimisation.

- Translate strategy into a focused quarterly bets plan with clear targets.

- Identify opportunities to enhance engagement, conversion, lead quality, and retention including through AI-driven personalisation, intelligent pre-filling, and LLM-powered recommendation surfaces.

2. Roadmap execution & agile delivery :

- Manage and refine the product backlog, balancing strategic priorities, technical debt, and customer needs.

- Partner with engineering to ensure crisp scope, acceptance criteria, rollout plans, and predictable delivery.

- Lead agile ceremonies as needed : planning, stand-ups, reviews, retrospectives.

- Ship iteratively; ensure every release has success metrics and guardrails.

- Define and own the AI feature backlog for your vertical : where LLM integration adds genuine value to the user journey, what the evaluation criteria are, and what fallback and failure handling looks like.

3. Metrics ownership & experimentation :

- Own weekly reporting of funnel performance and drivers : what moved, why, and what we do next.

- Establish a steady cadence of experimentation A/B tests, rollouts, UX improvements with measurable outcomes.

- Ensure measurement hygiene : instrumentation requirements are met and readouts happen on time.

- Define and track AI-specific product metrics : model-assisted conversion rate, AI feature adoption, recommendation acceptance rate, and LLM output quality signals.

4. Stakeholder management & communication :

- Act as the primary link between business leaders, tech teams, and external partners.

- Communicate roadmap, priorities, trade-offs, and performance insights to senior stakeholders.

- Partner across Australia, India, and the Philippines to maintain alignment on goals and delivery milestones.

- Serve as the voice of the customer and ensure user-centric solutions are embedded in every release.

5. Partner ecosystem collaboration :

- Work with Partnerships/Business Owners to shape partner onboarding priorities and improve partner performance.

- Own product readiness and launch gating : data capture, routing behaviour, UX flows, monitoring.

- Drive partner feedback loops into the roadmap : acceptance/rejection reasons, SLA breakdowns, failure modes.

6. AI-enabled product development :

- Identify where LLM-powered features can meaningfully improve the consumer comparison journey : pre-filling eligibility data, surfacing contextual recommendations, simplifying complex offer comparisons, or reducing form friction.

- Write product requirements for AI features with the same rigour as any other feature : input/output definition, confidence thresholds, fallback behaviour, human-in-loop requirements, and success metrics.

- Collaborate with the AI & Automation SPM and engineering to ship AI features that are production-grade : instrumented, monitored, and with defined rollback criteria.

- Stay current on how LLM integration is being applied in consumer FinTech, insurance, and comparison product UX - bring relevant patterns into your vertical proactively.

- Use AI tools actively in your own product practice : research synthesis, PRD drafting, experiment hypothesis generation, competitive analysis, and data interpretation.

7. Innovation & growth :

- Use data, market trends, and customer behaviour to uncover opportunities that increase adoption and monetisation.

- Partner with UX/UI and Marketing to launch improvements that boost customer experience and conversion.

- Benchmark performance against competitors and continuously evolve CIMET's comparison experience.

8. Quality & continuous improvement :

- Ensure UAT readiness and validate outcomes before broad release.

- Monitor metrics : engagement, NPS where applicable, conversion, and lead quality.

- Collaborate with QA and DevOps to ensure stable, scalable releases and fast incident recovery.

- Maintain a feedback loop that translates insights into actionable roadmap items.

Ideal Candidate :

- Must have 6+ years of product management experience with 1+ year of shipping LLM-powered features in consumer-facing product.

- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics : funnels, cohorts, drivers, causal reasoning, measurement hygiene.

- Must be fluent with AI active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

- Must be able to act as the primary link between business leaders, tech teams, and external partners communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).

- Must have strong product writing problem briefs, PRD-lite/user stories, experiment plans, decision logs and deep working command of Agile frameworks and tools.

- B2C product in FinTech (InsurTech is highly preferred).

- Preferred(Skill) : Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.