Role & Responsibilities
Key responsibilities
- 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.
- 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.
- 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.
- 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.
- 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 & 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.
- 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.
- 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
- Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile
- Mandatory(Experience 1)- Must have 6+ years of product management experience 1+ year of shipping LLM-powered features in consumer-facing product
- Mandatory(Experience 2)- 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.
- Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.
- Mandatory(Stakeholder Mgmt)- 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).
- Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.
- Mandatory(Company)- 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.
Skills: product manager,metrics,fintech,amp,ux,features,teams,customer
