Product Manager (Sales Force Application: Mobile/Web/AI)

We are seeking an experienced Product Manager with deep expertise in building and scaling Sales Force Applications across mobile, web, and AI-enabled environments.

The role requires strong product thinking, excellent cross-functional leadership, and the ability to translate complex business needs into impactful product features for large global field-force and sales programs.

This is a strategic and hands-on role involving product discovery, UX collaboration, sprint leadership, and insight-driven decision-making.

Key Responsibilities

1. Product Discovery & Requirement Definition

● Conduct discovery sessions with business stakeholders, field teams, and cross-functional partners.

● Translate sales, retail, and operational requirements into structured PRDs, workflows, and acceptance criteria.

● Prioritize features based on user value, business goals, and technical feasibility.

● Perform competitive analysis and research on SFA platforms and field-force applications.

2. Roadmap Ownership & Sprint Governance

● Own and manage the end-to-end product roadmap for Mobile, Web, and backend integrations.

● Collaborate with TPMs and Engineering Leads to run sprint planning and execution.

● Break down requirements into actionable epics, user stories, and engineering-ready deliverables.

● Maintain a structured product funnel: Discovery → UX → Validation → Build → UAT → Release

3. UX & Customer Experience Leadership

● Work closely with UX designers to build intuitive user journeys and prototypes.

● Ensure design consistency across devices (mobile, tablet, web).

● Conduct usability validation and gather field/user feedback to refine flows.

4. AI/ML Feature Development

● Partner with Data & AI teams to conceptualize predictive and automated capabilities.

● Define functional workflows for AI-driven insights, recommendations, and task automation.

● Ensure AI features adhere to compliance, safety, and usability standards.

5. Cross-Functional Coordination

● Collaborate with Deployment, Operations, Engineering, Analytics, Data, Training, and Vendor teams.

● Support UAT planning, training readiness, and release communication for new feature rollouts.

● Drive alignment on priorities across business, engineering, and delivery functions.

6. Product Performance & Insight-Driven Iteration

● Use product analytics to monitor adoption, feature usage, and user behavior patterns.

● Identify friction points and prioritize improvements based on data signals.

● Continuously enhance the product experience based on field insights and operational feedback.

7. Stakeholder Management

● Act as the primary product interface with client stakeholders across sales, retail, operations, and partnerships.

● Present roadmap updates, performance insights, and feature releases.

● Maintain strong relationships across regional and global teams.

Required Skills & Experience Core Product Expertise

● 5–6 years of Product Management experience in:

○ Sales Force Automation (SFA) tools ○ Mobile applications (Flutter, Android, or iOS)

○ Web platforms (React or similar frameworks)

○ AI/ML-enhanced enterprise applications

● Strong understanding of API-driven architecture, backend workflows, and cloud technologies.

Business & Industry Knowledge

● Experience in retail, consumer electronics, FMCG, or field sales environments.

● Understanding of sales KPIs, retail operations, promoter enablement, and field-force workflows. Technical & Analytical Skills

● Strong PRD writing and documentation skills.

● Familiarity with analytics tools (Looker, Data Studio, Mixpanel, Firebase, GA4, etc.).

● Ability to interpret user behavior and convert insights into product decisions.

Soft Skills

● Strong communication and stakeholder management

● Excellent prioritization and time management

● High ownership mindset

● Ability to work in fast-paced cross-functional teams

● Strong problem-solving and structured thinking

Preferred Qualifications

● Experience working with global deployments across multiple regions

● Exposure to data engineering or AI/ML workflows

● Background in consulting or analytics-driven organizations

● Experience supporting large field-force or retail activation programs