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CIMET

Senior Product Manager

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Description

The core responsibilities for the job include the following:


Product vision and 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.


Roadmap execution and 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.


Metrics ownership and 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, and 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.


Stakeholder management and 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.


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.


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 and 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.


CIMET Senior Product Manager Vertical Products:

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


Innovation and 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.


Quality and 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.

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