Senior Product Manager

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.

Experience
6-9 yrs