Role & responsibilities

Primary Responsibilities

Product Management:

- Define and communicate the product vision, strategy, positioning, and roadmap in alignment with SBT business priorities and customer needs.
- Lead continuous product discovery through customer conversations, stakeholder workshops, market analysis, product data, operational insights, and competitive research.
- Develop a native AI product strategy that identifies high-value customer and operational use cases aligned with SBTs product vision, market differentiation, and business goals.
- Evaluate and prioritize native AI opportunities based on customer value, data readiness, technical feasibility, compliance, responsible AI principles, cost, and measurable business impact.
- Partner with Engineering, Architecture, Data, Security, Compliance, and customers to validate AI concepts, define guardrails, measure model and product performance, and scale successful capabilities.
- Identify and size customer problems and product opportunities; develop business cases that clarify value, expected outcomes, assumptions, costs, risks, and dependencies.
- Prioritize investments using transparent criteria such as customer impact, strategic alignment, revenue potential, compliance needs, delivery effort, and operational risk.
- Define measurable product goals and success metrics; monitor adoption, usage, customer feedback, quality, revenue contribution, and operational performance after launch.
- Partner with UX, Engineering, Architecture, QA, Sales, Marketing, Implementation, Compliance, and Customer Support across the full product lifecycle.
- Drive go-to-market readiness, including target users, value proposition, launch scope, enablement, documentation, rollout approach, and feedback loops.
- Manage product performance through regular reviews, experimentation, prioritization changes, lifecycle decisions, and executive-ready communication.
- Represent the voice of the customer while balancing business viability, technical feasibility, usability, scalability, security, and regulatory considerations.

Secondary Responsibilities

Product Ownership:

- Convert product strategy and discovery outcomes into clear product goals, release plans, epics, features, and actionable backlog items.
- Own backlog ordering and refinement, ensuring the team understands the problem, intended outcome,

scope boundaries, dependencies, and acceptance expectations.

- Collaborate closely with development teams, UX, and QA during planning and delivery; make timely trade-off decisions when new information or constraints emerge.
- Review work in progress, clarify requirements, accept completed work against agreed criteria, and ensure each increment delivers meaningful value.




- Demonstrate delivered capabilities during sprint reviews and coordinate release readiness with dependent business and technology teams.

Business Analysis:

- Elicit, analyze, and document business, functional, data, integration, compliance, and operational requirements with relevant stakeholders.
- Translate business needs into process flows, use cases, business rules, user stories, acceptance criteria, and supporting documentation for development and testing.
- Analyze current-state and future-state workflows; identify gaps, edge cases, impacts, assumptions, risks, and cross-system dependencies.
- Work with engineering teams on API-oriented products and integrations, including the interpretation of REST APIs, JSON structures, data mappings, and error scenarios.
- Support requirement traceability, UAT planning and coordination, defect triage, stakeholder validation,

and sign-off.

Key Deliverables and Measures of Success

- A validated and prioritized opportunity pipeline linked to customer value and business goals.
- A clear, outcome-oriented product strategy and roadmap that stakeholders understand and support.
- Development-ready backlog items with sufficient clarity to reduce avoidable rework and decision delays.
- Predictable cross-functional launch readiness, with risks and dependencies surfaced early.
- Post-launch tracking shows whether adoption, customer, business, quality, and operational goals are being achieved.
- Consistent stakeholder communication covering decisions, trade-offs, progress, outcomes, and next

steps.

Skills and Experience Needed

- 6-15 years of experience across product management, product ownership, business analysis, or related software product roles, with substantial product management accountability.
- Demonstrated experience defining product strategy, roadmaps, customer problems, product requirements, and measurable outcomes for B2B SaaS or technology products.
- Strong customer discovery, market analysis, prioritization, business-case development, and go-to-market skills.
- Hands-on experience working with Scrum or Agile product development teams and managing product backlogs, user stories, acceptance criteria, and releases.
- Ability to connect product functionality with viable business metrics and customer outcomes.




- Ability to break complex capabilities into incremental releases and identify dependencies across multiple engineering teams.
- Strong analytical and problem-solving skills, including process analysis, data interpretation, and structured decision-making.
- Technical fluency with APIs, integrations, JSON structures, data flows, and contemporary software delivery practices.
- Excellent communication, facilitation, presentation, negotiation, and documentation skills for both executive and delivery audiences.
- Proficiency in using generative AI and productivity tools to accelerate market research, customer insight synthesis, competitive analysis, and business-case development.
- Demonstrated ability to apply AI-assisted tools to improve the speed and quality of requirements, user stories, acceptance criteria process documentation, presentations, and stakeholder communications.
- Experience identifying and automating repetitive product workflows with AI while validating outputs, protecting sensitive data, following responsible AI practices, and measuring time saved.
- Ability to work effectively in a fast-paced, dynamic environment and lead through ambiguity without losing execution discipline.

Preferred Qualifications

Experience in fintech, payments, consumer finance, communications platforms, regulated industries, or enterprise messaging.

- Experience with product analytics, experimentation, customer feedback programs, and adoption measurement.
- Working knowledge of messaging channels such as SMS, MMS, RCS, or conversational payment experiences is added advantage.
- Proven experience driving AI initiatives from opportunity identification and validation through launch and adoption as part of a customer-facing product offering.
- Product management, Scrum Product Owner, or business analysis certification is beneficial but not mandatory.

Tools Experience

Agile and product delivery tools: Jira and Confluence.

- Product discovery, planning, analytics, and roadmap tools.
- Wireframing and whiteboarding tools such as Miro or Figma.
- Office productivity tools: SharePoint, PowerPoint, Word, and Excel.
- AI productivity tools such as Microsoft Copilot, ChatGPT, Claude or equivalent platforms for research, analysis, content creation,requirements refinement, meeting summaries, and workflow automation.

Working Relationships

This role works closely with Product Management, Engineering, Architecture, UX, QA, Data, Compliance, Sales, Marketing, Implementation, Operations, and Customer Support. The role is expected to influence without authority, create clarity across functions, and maintain accountability for product outcomes from

discovery through post-launch optimization.

📌 Product Manager (Bengaluru)
🏢 SBT
📍 Bengaluru