Agentic message workflows
Decide when and how to personalize messages using shopper behavior, commerce context, campaign goals, and brand voice guidance.
Experience
Hands-on work building an AI-agent platform for e-commerce brands across SMS, RCS, email, social, and lifecycle automation.
The product direction moves commerce teams from static lifecycle flows and bulk sends toward adaptive shopper conversations that understand commerce context, respect opt-in requirements, match the brand voice, and optimize for measurable outcomes.
The channel layer includes RCS, but the larger shift is conversational AI for commerce: segmentation, agent workflows, tool access, campaign intent, and learning loops across the customer journey.
Decide when and how to personalize messages using shopper behavior, commerce context, campaign goals, and brand voice guidance.
Treat messaging as a product surface across SMS, RCS, email, social, and future channels, with opt-in handling, sender onboarding, compliance constraints, and channel-specific experience design.
Use AI-driven segmentation, MCP, and A2A functionality to support targeting, message generation, tool access, and agent-to-agent workflows.
Measure conversational experiences against incumbent marketing automation patterns and use the results to improve targeting, timing, and message quality.
Apply the experience
The useful work is usually a decision, a sequence, a team shape, or a first build that needs to become concrete.