Senior Product Manager

Senior Product Manager

intelligent automation, personalization, analytics, and decision-making

Key Responsibilities

Product Strategy & Vision

• Define and own the

  product vision and roadmap

  for IT and

  AI-powered products

  (apps, portals, ERP modules, analytics platforms, recommendation engines, chatbots, automation tools, etc.).
• Align product strategy with

  RCM’s business goals, growth plans, and distributor experience

  .
• Identify high-impact

  AI/ML use cases

  such as personalization, fraud detection, sales insights, demand forecasting, content intelligence, and distributor engagement.
• Identify opportunities to digitize, automate, and enhance business processes.
• Ensure AI initiatives align with

  RCM’s business objectives, ethics, data privacy, and scalability requirements

  .

Stakeholder & Business Alignment

• Work closely with business leaders to understand complex workflows and convert them into

  clear, technically sound product requirements

  .
• Act as a bridge between

  business teams and technical teams

  , ensuring shared understanding of scope, constraints, and trade-offs.
• Prioritize features and initiatives based on

  business impact, technical feasibility, and long-term architecture

  .

Technical Ownership & Developer Collaboration

• Possess strong technical understanding to

  discuss architecture, APIs, databases, integrations, cloud infrastructure, and AI models

  with developers.
• Translate business needs into

  detailed PRDs, BRDs, user stories, data requirements, and acceptance criteria

  .
• Review technical designs, validate assumptions, and support developers in making optimal implementation decisions.

Product Development & Delivery

• Collaborate with developers, designers, QA, and vendors to ensure

  timely and high-quality product delivery

  .
• Own and manage

  backlogs, sprint planning, releases, and change requests

  .
• Ensure solutions are

  scalable, secure, compliant, and performance-driven

  .

User Experience & Adoption

• Focus on

  user-centric design

  for distributors, leaders, and internal users.
• Continuously improve product usability, engagement, and adoption through feedback and data analysis.
• Support training, documentation, and communication for new features and releases.
  

Data, Metrics & Continuous Improvement

• Define and track

  product KPIs

  (usage, adoption, performance, satisfaction).
• Use insights to drive continuous improvements and innovation.
• Stay updated with

  latest digital, IT, and direct-selling technology trends

  .

Key Skills & Competencies

Technical & Functional Skills

• Strong understanding of

  software development lifecycle (SDLC)

  and Agile methodologies.
• Hands-on exposure to

  AI/ML concepts

  , including model lifecycle, training vs inference, data pipelines, and evaluation metrics.
• Experience integrating

  AI services, APIs, LLMs, or third-party platforms

  into enterprise products.
• Experience with

  web and mobile applications

  , ERP/CRM systems, APIs, and integrations.
• Ability to write

  PRDs, BRDs, user stories, and acceptance criteria

  .
• Familiarity with data analytics, dashboards, and reporting tools is an advantage.
  

Behavioral & Leadership Skills

• Strong

  business acumen

  with the ability to think strategically and execute pragmatically.
• Excellent

  communication and stakeholder management

  skills.
• High ownership, problem-solving mindset, and attention to detail.
• Ability to work in a

  fast-growing, dynamic, mission-driven organization

  .

Qualifications & Experience

• Bachelor’s degree in

  Engineering, Computer Science, IT, or related field

  (MBA preferred).

• 5–10 years

  of experience in Product Management, Business Analysis, or IT Product roles.
• Prior experience in

  retail consumer platforms

  is a plus.
• Experience working with

  cross-functional teams and external vendors

  .