About CIMET

CIMET powers Australia's leading Comparison-as-a-Service (CaaS) platform across Energy, Telecom, Insurance, and Finance. We are evolving from a session-based comparison experience toward a persistent, household-level relationship with users, one that understands who they are, what they have, and what they need next, across every vertical and interaction.

Why this role is relevant

Today CIMET operates largely session-first: users arrive, compare, and leave, with limited continuity between sessions, zero-to-minimal identity stitching across verticals, and no persistent profile that captures what a household actually owns and needs. This is a structural gap that limits re-engagement, personalization, recommendation quality, CLV, and the platform's ability to be useful beyond a single comparison session.

This role is being created to build the identity and profiling foundation that makes CIMET's next evolution possible: a unified user identity layer, a household profile model, and the data architecture that enables AI-driven re-engagement, personalization and proactive recommendations across the platform.

Role summary

As SPM for User Identity and Profiling, you will own the product strategy and execution for CIMET's identity infrastructure and user profiling platform. This is a foundational platform role: your work will unlock personalization, improve recommendation accuracy, reduce friction in return journeys, and give CIMET a durable data asset at the household level.

Non-negotiable bar

You must have owned an identity, profiling, or personalization platform product in a consumer-tech or B2C context with measurable impact on engagement, conversion, or recommendation quality.

What you will own

User identity platform

- Define and own CIMET's user identity model: anonymous-to-known resolution, cross-session stitching, cross-vertical identity unification, and household-level aggregation.
- Own the identity graph product requirements: entity resolution, deduplication logic, confidence scoring, and merge/split rules.
- Design identity persistence across channels: web, app, partner white-label, and inbound call/agent flows.
- Own the privacy and consent architecture: what data is captured, how it is stored, what user controls exist, and how consent propagates across the platform.
- Ensure the identity layer meets Australian privacy and data handling standards relevant to CIMET's verticals.





User profiling and household model

- Define the household profile schema: what attributes are captured, inferred, and maintained across Energy, Telecom, Insurance, and Finance verticals.
- Own the profile completeness and freshness model: how profiles are built over time, how stale data is flagged, and how users can view and update their own profile.
- Define the event taxonomy and data capture requirements that feed the profiling engine, in partnership with the Data Engineering team.
- Build the product foundation for proactive recommendations: what signals trigger a recommendation, what confidence threshold is required, and how recommendations are surfaced.

Identity as a platform service

- Package identity and profiling as internal platform APIs consumed by vertical PMs, the recommendation engine, and AI features.
- Define service contracts: what the identity API provides, what data consumers can query, and what change management process applies.
- Own the identity SDK or integration layer for white-label partners who need to pass user context into CIMET.
- Establish identity data quality metrics: completeness rate, resolution accuracy, stale profile rate, and cross-vertical linkage coverage.

Personalization foundation

- Work with vertical PMs and the AI/Automation SPM to define how profile data powers personalized comparison surfaces, pre-filled forms, and contextual recommendations.
- Define the personalization feedback loop: how user actions update the profile, how recommendation outcomes are measured, and how the model improves over time.

Ideal candidate profile

Experience (must-have)

- 7 to 9 years of Product Management experience with a strong focus on identity systems, user profiling, personalization platforms, or customer data platforms (CDPs).
- Has owned an identity or profiling platform in a consumer-tech context: login/auth infrastructure, user graph, or household/account modelling.
- Experience with anonymous-to-known identity resolution, cross-device stitching,



or session continuity problems in high-traffic consumer products.
- Demonstrated understanding of privacy-by-design: consent management, data minimization, and user-facing data controls.
- Background in FinTech, InsurTech, e-commerce, marketplace, or aggregator platforms preferred. Comparison or subscription-switching context is a strong plus.

Technical and data fluency (must-have)

- Comfort specifying data models, entity relationships, and schema evolution requirements as product artefacts.
- Working understanding of identity graph concepts: entity resolution, probabilistic vs deterministic matching, confidence scoring.
- Ability to write explicit data product requirements: event schemas, API contracts, data quality SLAs.
- Familiarity with CDP architecture, data pipelines, or event-driven data capture patterns enough to partner credibly with data engineering.

Capabilities and ways of working

- Long-horizon thinker: identity is a foundation, not a feature. Must be able to hold a 2-3 year architecture view while shipping incrementally.
- Privacy-first instinct: thinks about data collection and user consent before thinking about what data would be nice to have.
- Platform mindset: builds for reuse across verticals, not for the nearest vertical asking for it.
- Data-literate: can work directly with data engineers and analysts to define, validate, and measure profile quality.
- Cross-functional influence: identity touches every vertical and every team must drive alignment without owning everything.

Tools and education

- Jira, Confluence, and modern PM tooling.
- Familiarity with identity tooling (Auth0, Okta, or equivalent), CDP platforms (Segment, mParticle, or equivalent), and data pipeline concepts.
- Bachelor's degree in Engineering, Computer Science, or related field preferred.

Working style and expectations

- Foundation first: you are building infrastructure that other products depend on. Correctness, reliability, and data quality are non-negotiable.
- On-site, Gurgaon: this role requires full on-site presence five days a week.
- Privacy is a product requirement: not a legal checkbox. You will be expected to proactively identify privacy implications and design them out, not flag them post-build.
- Incremental delivery: the identity platform cannot be a 12-month big bang. You will need to ship value in phases while maintaining architectural coherence.

📌 Senior Product Manager - User Identity & Profiling (Haryana)
🏢 CIMET
📍 Haryana