Senior Product Manager-Consumer Growth

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. 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 & 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 with 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(Profile & Surface) - Must have consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.
• Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.
• 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,amp,customer,metrics,fintech,agile,ux,data