3 months ago
Responsibilities
- Own end-to-end execution of AI agent builds for enterprise customers from initial scoping through launch and iteration
- Write and maintain agent-building artifacts such as AOPs and configure agent behavior for quality, reliability, and business outcomes
- Configure and validate guardrails for safe, compliant, and predictable agent performance
- Set up, test, and validate customer integrations, including ticketing systems, tools, and workflows
- Work with senior customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines
- Translate customer needs into internal documentation and feedback for Engineering platform improvements
- Partner with Agent PMs, Agent Success, Engineering, Design, and Go-to-Market teams to deliver repeatable agent builds
Requirements
- At least 5 years of relevant experience in a technical customer-facing role, such as solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, or technical product/PM
- Strong technical foundation with the ability to write code, work with APIs, and build and validate integrations end to end
- Experience delivering production-grade customer solutions involving structured execution, testing, validation, and iteration
- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery
- Comfort working in fast-moving, ambiguous environments and shaping solutions while implementing them
- Experience building with or around LLMs or AI agents, including prompting, evaluation, guardrails, tooling, or workflow design, is preferred
- Experience with enterprise SaaS integrations, such as ticketing systems, CRM, or data pipelines, and related security or compliance considerations, is preferred
- A degree in Computer Science, Engineering, or Math, or equivalent technical experience, is preferred
- Strong product instinct, including the ability to write clear PRDs, define success metrics, and contribute customer insight to the product roadmap, is preferred
Benefits
- Take-what-you-need vacation policy, with UK employees receiving 25 days of statutory leave
- Medical, dental, and vision benefits for employees and their families
- Life insurance and disability benefits
- Retirement plan, such as a 401(k) or pension
- Parental leave
- Fertility and family-building benefits through Carrot
- Daily lunches and snacks in the office
- Full-time, in-office role
Categories
Forward DeployedSolutions Engineering
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Chime, Oura Health, 1-800-FLOWERS.COM, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships.