Source Job

Global

  • Own the end-to-end RCS roadmap, including sender registration, rich messaging capabilities, fallback orchestration, and monetization.
  • Define adoption strategy, expand into new markets, and partner with carriers and aggregators to secure coverage and favorable economics.
  • Analyze unit economics, engagement data, and customer insights to drive product decisions and revenue growth.

Product Management Monetization Data Analysis

3 jobs similar to Sr. Product Manager - RCS & Rich Messaging

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India

  • Own the end-to-end RCS product roadmap, driving adoption and market expansion across messaging channels.
  • Define pricing, monetization strategies, and product success metrics for a high-volume messaging product line.
  • Collaborate with cross-functional teams, carriers, and aggregators to launch and scale rich messaging products.

A partner company providing messaging infrastructure and conversational messaging technologies. The organization is well-funded and profitable with a people-first culture and emphasis on employee well-being.

Global

  • Formulate product strategy and long-term vision for the communication platform.
  • Explore the market and find new growth opportunities, turning ideas into a clear roadmap.
  • Partner with the engineering team and participate in technical solutions to scale the product.

We develop a communication platform for business messaging, including SMS and instant messengers. We are a global team with a high-energy, fast-paced work environment and a collaborative culture.

US Unlimited PTO

  • Lead the end-to-end operational strategy to maximize delivery KPIs across email, SMS, and digital messaging channels.
  • Drive the rollout of RCS and emerging message verticals through carrier approval and vendor coordination.
  • Manage vendor relationships, optimize pricing, and protect compliance boundaries with TCPA and 10DLC regulations.

TrueML is a mission-driven financial software company that creates better customer experiences for distressed borrowers using machine learning. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to serve people.