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Sierra

Builds AI agents for customer conversations

Agent Product Manager - Agent Development, Public Sector

Product ManagementUpdated on Nov 11
Full-time

About the Job

Requirements

  • At least 5–7 years of experience developing highly technical products.
  • Experience in Product Management or a similar product development role at or above the level of Senior Product Manager.
  • Comfort working directly with customers to understand their needs, navigate complex organizations, and solve real-world problems, including coordinating with public servants and technical stakeholders to understand workflows.
  • Experience crafting and tailoring messages for different audiences, including senior executives and public sector leaders.
  • Ability to communicate highly technical concepts, including recent AI developments, to both non-technical and technically proficient audiences.
  • Strong product judgment and a track record of driving ambiguous, cross-functional initiatives from discovery through launch and measurable impact.
  • A degree in a technical or related field, or equivalent professional experience.

Responsibilities

  • Partner with engineers and public sector customers to build and ship enterprise-grade AI agents for government institutions, meeting security, accessibility, and reliability standards.
  • Work with federal and state institutions to understand missions, operating constraints, constituent needs, and service-delivery workflows, and identify and prioritize opportunities for AI agents.
  • Engage with public sector leaders and working teams to assess requirements, prepare and present demonstrations, navigate technical and operational challenges, and improve agents to fit institutional policies and workflows.
  • Translate mission goals into product strategy, roadmap, and measurable success definitions; coordinate customer stakeholders and engineering, design, research, security, and operations teams from concept through launch and iteration.
  • Surface unmet needs, prototype tools and features, and collaborate with research, product, and platform teams to shape the AI agent development platform and public sector roadmap.
  • Partner with public sector leadership on market strategy, product investments, and repeatable approaches to scale the business.
  • Build agents that help people understand eligibility, apply for benefits, check case status, and navigate social-service programs.
  • Develop secure reporting experiences for reporting fraud, waste, abuse, or other concerns and routing submissions appropriately.
  • Create voice and chat agents for questions about licenses, permits, taxes, public records, and other government services across languages and channels.
  • Design proactive, long-horizon agents that keep constituents informed, collect missing information, and guide them through multi-step government processes.
  • Turn patterns in constituent conversations into actionable insights for public officials to understand emerging needs and improve service delivery.

Desired Qualifications

  • Experience building or deploying AI/LLM products, especially conversational or long-horizon agents, and familiarity with evaluation, retrieval, prompt engineering, or agent tooling.
  • Experience with government technology or public sector institutions, including procurement, regulation, security, accessibility, and partnership practices.
  • A demonstrated track record operating in ambiguity, such as on a founding team, a new initiative within a large organization, or a forward-deployed product or engineering team.
  • Some coding experience with React, TypeScript, and Go, or experience prototyping technical products directly with engineers.
  • An MBA or equivalent professional experience at the intersection of technology, operations, and strategy.
  • Past roles involving direct work with end customers to influence software development.

About the Company

Sierra

Builds AI agents for customer conversations

Sierra builds AI agents that handle customer conversations for businesses, from answering support questions to guiding purchases and managing account requests. Companies deploy the same agent across voice, chat, email, and messaging channels, with behavior shaped by their brand guidelines and business policies. Its Ghostwriter tool creates and updates agents from plain instructions or existing company materials, then tests changes before teams approve them. The platform connects agents to business systems so they take action, and Sierra charges for completed outcomes rather than the AI tokens consumed. Sierra was founded in 2023 and is headquartered in San Francisco, California, United States.

Company size
1,001-5,000
Company stage
Series E
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2023

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