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

Senior Product Manager (Growth, FinTech)