CIMET Senior Product Manager - Vertical Products

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.