Strategist, Agent Development - Retail

Sierra Sierra · AI Frontier · San Francisco, CA · Product

This role focuses on developing and deploying AI agents for customer experience in the retail sector. The Strategist will own the entire agent development lifecycle, from initial scoping and conversation design to production launch and iteration. They will act as a strategic advisor to enterprise leaders, understand business needs, and translate them into effective AI agents. The role involves close collaboration with customers and internal product/engineering teams, directly impacting product direction by surfacing unmet needs. Example projects include building order management agents, shopping assistants, in-store support agents, and outbound campaign agents.

What you'd actually do

  1. Own the Agent Development Life Cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome.
  2. Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
  3. Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch.
  4. Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.

Skills

Required

  • Customer obsession
  • Communication
  • Strategic problem-solving in ambiguity
  • Technical aptitude
  • Ownership and delivery

Nice to have

  • Experience building or deploying AI/LLM agents in production
  • Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.)

What the JD emphasized

  • Own the Agent Development Life Cycle
  • trusted strategic advisor
  • Customer obsession
  • Genuine interest in Financial Services and improving the end customer experience.
  • Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus.

Other signals

  • AI agents for customer experience
  • customer-facing AI product development
  • enterprise AI strategy
  • agent development lifecycle ownership