About The Role:
We are looking for a Product Manager – India who will play a key role in shaping, building, and scaling Valocity’s product and data capabilities for the India market.
This role will report to the Senior Product Manager and will work closely with customers, business development, customer success, operations, engineering, QA, data, and global product teams across India, New Zealand, and Australia.
The role requires a strong blend of customer understanding, product thinking, business analysis, delivery ownership, data interpretation, AI awareness, and commercial orientation.
You will work directly with banks and financial institutions, understand their business processes and requirements, translate those requirements into clear product artefacts, and collaborate with engineering and QA teams to ensure successful execution.
You will also identify new product capabilities, data products, AI‑led opportunities, and commercial use cases that drive measurable customer value and revenue for Valocity.
This is a hands-on role suited for someone who is comfortable moving between customer conversations, product demos, BRD writing, Jira backlog management, data analysis, issue escalation, product strategy discussions, and cross-functional delivery follow-ups.
Key Responsibilities:
1. Customer Discovery, Product Demos and Requirement Understanding
The Product Manager will work closely with existing and prospective customers to understand their business processes, operational challenges, product expectations, and future needs.
Responsibilities include:
- Conduct product demos for banks, NBFCs, HFCs, valuers, and other external stakeholders.
- Support Business Development and Customer Success teams in customer meetings, product discussions, POCs, proposal defence, and RFP responses.
- Understand customer workflows related to property valuation, legal valuation, technical valuation, APF / project approvals, loan origination, risk, credit, operations, and vendor management.
- Conduct workshops with customers to capture business requirements, process flows, exceptions, pain points, and success criteria.
- Map customer processes to Valocity platform capabilities and identify gaps, configuration options, customisation needs, and product enhancement opportunities.
- Build strong working relationships with key customer stakeholders and become a trusted product contact for the India market.
- Success is measured by quality of requirements, reduced rework, and increased adoption/expansion at key accounts.
2. Product Strategy, Roadmap and New Capability Development
The Product Manager will help define and execute product capabilities that support Valocity’s growth in India.
Responsibilities include:
- Identify new product capabilities, modules, workflows, controls, analytics, and platform enhancements relevant to Indian banks and financial institutions.
- Build business cases for new product ideas, including customer value, commercial opportunity, implementation effort, operational impact, and revenue potential.
- Contribute to the India product roadmap in alignment with global product strategy and local market requirements.
- Prioritise product opportunities based on customer value, business impact, revenue opportunity, regulatory relevance, and delivery feasibility.
- Work with leadership to define success metrics for new products, modules, and features.
- Monitor product adoption, customer usage, market needs, and competitor movement to recommend product improvements.
- Ensure that product decisions are backed by customer evidence, data, and clear business value.
- Success is measured by impact of shipped capabilities on revenue, usage, NPS and operational efficiency for Indian customers.
3. BRDs, Functional Specifications and Product Documentation
The role will require strong documentation capability and the ability to convert customer requirements into clear product artefacts.
Responsibilities include:
- Draft BRDs, PRDs, process flows, user stories, acceptance criteria, release notes, product notes, and training material.
- Define user journeys, role-based workflows, validations, exception handling, status transitions, notifications, reports, dashboards, and integration touchpoints.
- Ensure requirements are clear, testable, prioritised, and aligned with customer expectations.
- Maintain traceability between customer requirements, Jira epics/stories, delivery scope, testing coverage, and release outcomes.
- Document product decisions, assumptions, dependencies, risks, and open questions clearly for all stakeholders.
4. Product Delivery, Jira and Agile Execution
The Product Manager will work closely with Product Owners, Engineering, QA, Scrum Masters, and delivery teams to help convert product vision into working software.
Responsibilities include:
- Own or support the creation and prioritisation of epics, features, user stories, and acceptance criteria in Jira.
- Manage and maintain Jira boards, product backlogs, sprint priorities, and delivery visibility for assigned initiatives.
- Participate in daily stand-ups, sprint planning, backlog refinement, sprint reviews, demos, and delivery governance meetings.
- Help teams understand the business context, customer value, and expected outcome of each feature.
- Work with engineering and QA to clarify requirements, resolve functional queries, and support timely decision-making.
- Coordinate dependencies across teams located in India, New Zealand, and Australia.
- Help balance customer priorities, business objectives, technical constraints, and delivery timelines.
- Track delivery progress, risks, blockers, scope changes, and communicate updates to internal and external stakeholders.
- Success is measured by predictability of delivery (on‑time scope), stakeholder satisfaction, and reduced production issues for owned modules.
5. Data Products, Analytics and Data Partnerships
The Product Manager will play an active role in building Valocity’s data-led product capabilities for India.
Responsibilities include:
- Identify opportunities to create data products using data sets like valuation data, property data, market data, RERA data, geospatial data, and external data partnerships.
- Work on concepts such as market intelligence, property benchmarking, valuation quality insights, portfolio insights, risk indicators, price reference tools, and lender-specific dashboards.
- Look for data partnerships that can strengthen Valocity’s data ecosystem and product offerings.
- Analyse product and valuation data to identify trends, gaps, anomalies, opportunities, and customer insights.
- Work with data teams to define data requirements, reporting needs, dashboards, metrics, and analytical outputs.
- Convert data insights into meaningful customer-facing narratives, reports, product recommendations, and business opportunities.
- Support the development of data monetisation ideas and revenue-generating data products.
- Success is measured by adoption and revenue of data products, usage of dashboards, and strength of data partnerships.
6. AI Adoption and AI-enabled Product Innovation
The Product Manager should be comfortable using AI tools in day-to-day work and should actively explore how AI can be used within Valocity products and processes.
Responsibilities include:
- Use AI tools to improve productivity in research, documentation, summarisation, requirement analysis, product notes, customer communication, and data interpretation.
- Identify practical AI use cases for Valocity’s platform, including data quality validation, address standardisation, document intelligence, anomaly detection, valuation report review, customer support assistance, workflow recommendations, and predictive insights.
- Work with technology, data, and product teams to evaluate AI opportunities from the perspective of customer value, feasibility, risk, compliance, and commercial potential.
- Understand responsible AI considerations such as human review, accuracy, explainability, privacy, data security, and regulatory sensitivity.
- Help build AI-enabled product features that are practical, safe, explainable, and aligned with the needs of banks and financial institutions.
- Stay aware of emerging AI tools, product management practices, and market trends relevant to SaaS, banking, mortgage, property, and data products.
- Success is measured by practical AI features delivered to production and internal productivity improvements driven by AI use in day‑to‑day work.
7. Customer Escalations, Issue Resolution and Product Support Alignment
The Product Manager will be expected to help front-end important product escalations and coordinate resolution where product, technology, or customer process understanding is required.
Responsibilities include:
- Support Operations, Customer Success, Engineering, and QA teams in understanding and resolving customer-reported issues.
- Help classify issues as operational gaps, configuration issues, product defects, enhancement requests, training gaps, or customer process issues.
- Coordinate with engineering and QA teams for root cause analysis, workaround identification, fix prioritisation, and customer communication.
- Provide clear and balanced updates to customers and internal stakeholders on product issues or escalations.
- Identify recurring issues and convert them into product improvements, training updates, workflow changes, or preventive controls.
- Maintain a customer-first but commercially balanced approach in handling escalations.
8. Cross-functional Collaboration
The role will require regular collaboration with multiple teams and geographies.
Key working relationships include:
- Customers: banks, NBFCs, HFCs, valuers, legal firms, technical teams, business users, and operations teams.
- India Business Development and Customer Success teams.
- India Operations and onboarding teams.
- India and global Product teams.
- Engineering and QA teams across India, New Zealand, and Australia.
- Data, analytics, architecture, security, and compliance teams.
- Senior leadership across India and global teams.
The person should be comfortable working across time zones, managing ambiguity, and communicating clearly with both business and technical stakeholders.
Key Skills and Experience
Essential Experience
- 6-9 years of overall experience, preferably in product management, product ownership, business analysis, product consulting, or technology delivery roles.
- At least 4–6 years of experience working with BFSI, mortgage lending, property valuation, loan origination, credit, risk, or related banking technology products.
- Experience working with banks, NBFCs, HFCs, fintechs, SaaS platforms, or enterprise technology products.
- Proven experience in conducting customer workshops, gathering requirements, writing BRDs / PRDs, and translating business needs into product features.
- Demonstrated track record of owning product outcomes end‑to‑end rather than only coordination or project management.
- Experience working with agile teams and managing epics, user stories, acceptance criteria, product backlogs, and Jira boards.
- Experience collaborating with engineering, QA, data, operations, customer success, and business development teams.
- Experience presenting to customers and senior stakeholders through demos, solution walkthroughs, proposals, and product discussions.
Domain Knowledge
The candidate should have good understanding of:
- Indian banking and mortgage lending processes
- Technical valuation and legal valuation workflows.
- Property valuation lifecycle, valuer allocation, report submission, review, approval, and lender-side operations.
- Loan origination systems and integrations between lender systems and SaaS platforms.
- Customer onboarding, user adoption, operational support, and change management.
- Regulatory and compliance sensitivity in the Indian banking ecosystem.
Product and Delivery Skills
- Strong product thinking with the ability to connect customer problems to scalable product solutions.
- Ability to prioritise features based on customer value, commercial impact, delivery feasibility, and strategic alignment.
- Strong understanding of Agile, Scrum, SDLC, sprint planning, backlog refinement, and release processes.
- Good understanding of product metrics, OKRs, adoption metrics, usage analysis, and business outcomes.
- Ability to manage trade-offs between customer expectations, business goals, engineering constraints, and delivery timelines.
- Strong documentation skills across BRDs, process flows, user stories, acceptance criteria, release notes, and training material.
Data and Analytical Skills
- Strong analytical mindset with ability to interpret data, identify patterns, and convert analysis into meaningful insights.
- Ability to slice and dice data using Excel, Power BI, SQL awareness, or similar analytical tools.
- Ability to work with data teams to define dashboards, reports, metrics, and data product requirements.
- Understanding of data quality, data completeness, geospatial data, valuation data, market trends, and benchmarking use cases.
- Ability to present data insights in a business-friendly and customer-friendly manner.
Technology Understanding
The candidate does not need to be a developer, but should have working understanding of:
- SaaS platforms and cloud-based product architecture.
- APIs and system integrations.
- Microservices-based architecture.
- Microsoft Azure or similar cloud platforms.
- Authentication, security, data privacy, and enterprise technology basics.
- Jira, Confluence, Azure DevOps, or similar product and delivery management tools.
- Power BI or similar reporting and dashboarding tools.
- Able to have meaningful discussions with architects and engineers on APIs, integrations, non‑functional requirements, and deployment considerations, even without writing code.
AI and Modern Tooling
The candidate should have:
- Practical understanding of AI, Generative AI, and AI-enabled product opportunities.
- Ability to use AI tools responsibly for research, documentation, analysis, productivity, and ideation.
- Ability to identify AI use cases that can improve Valocity’s product, data quality, customer experience, automation, and operational efficiency.
- Awareness of AI risks such as accuracy, privacy, explainability, hallucination, bias, and need for human validation.
- Curiosity to explore how AI can be embedded into product workflows in a safe and commercially meaningful way.
- Actively uses AI tools in daily work (not just theoretical awareness) for research, documentation, analysis, and experimentation.
Education and Certifications
Preferred
- E., B.Tech, MCA, MBA, or equivalent qualification.
- Product Management certification, CSPO, CSM, Agile certification, or equivalent practical experience.
- Certification or practical exposure in AI, data analytics, cloud, or digital product management will be an advantage.
Personal Attributes
The ideal candidate should be:
- Customer-obsessed and accountable.
- Comfortable working in a fast-paced, evolving, and high-growth environment.
- Strong in communication, articulation, presentation, and stakeholder management.
- Able to speak confidently with both business and technology teams.
- Structured in thinking, but flexible in execution.
- Comfortable with ambiguity and able to bring clarity to complex situations.
- Comfortable front‑ending critical customer conversations and escalations, while balancing customer empathy with commercial and delivery realities.
- Commercially aware and able to link product capability with revenue opportunity.
- Curious about customers, data, technology, AI, and market trends.
- High ownership bias – does not drop issues, follows through until resolution and learning.
- Practical and balanced — able to say “no” or “not now” when needed, while preserving customer relationships.
- Collaborative across teams, cultures, and time zones.
