Salary: £100,000 - 100,000 per year
Requirements
- Genuine enthusiasm for working directly with customers, understanding their businesses and needs, navigating complex organizations, and building trusted relationships.
- Clear, direct, and persuasive communication with technical and non-technical audiences.
- Strong analytical and critical-thinking skills to break down complex problems, identify risks early, and adapt to changing circumstances.
- Technical aptitude, including comfort reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in design discussions.
- A track record of managing multiple complex, high-visibility projects and driving them to outcomes.
- Preferred: Experience building or deploying AI or LLM agents in production, including hands-on experience with evaluation frameworks, agent tooling, RAG, or prompt engineering, and working closely with technical counterparts.
- Preferred: Experience as a founder, founding team member, or operator, balancing craft, ownership, and speed.
- Preferred: A degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience; an MBA or comparable experience at the intersection of technology and business is also valued.
Responsibilities
- Own the agent development lifecycle, taking agents from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production.
- Translate customers business goals into effective agents, and continually improve agent performance and real-world outcomes.
- Advise enterprise leaders by understanding their business goals and shaping AI strategies to achieve them.
- Partner with customers working teams, lead working sessions, troubleshoot issues, and make decisions that keep development on track for launch.
- Surface unmet customer needs and share them with research and platform teams to help shape our product direction.
- Scope and launch agents for use cases such as customer retention, device troubleshooting, product recommendations, and complex regulated interactions.
- Partner with product teams and customers to develop new capabilities, agent architectures, and self-service tooling.
- Define agent evaluation methods and quality standards, then use metrics to drive measurable improvements.
Technologies
- AI
- API
- LLM
- RAG
- Salesforce
- AI Agents
- CTO
- Support
- VR
More
Were Sierra, building a platform that helps companies create better, more human customer experiences with AI.
We partner with industry leaders including SoftBank, Uber, Rivian, CLEAR, and Sutter Health.
We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
Our co-founders are Bret Taylor and Clay Bavor, whose backgrounds include leadership roles at OpenAI, Salesforce, Facebook, and Google.
Our culture is guided by Trust, Customer Obsession, Craftsmanship, Intensity, and Family.
- full-time employees flexible paid time off
- medical, dental, and vision benefits
- life and disability insurance
- a retirement plan dependent on country of employment
- parental leave
- fertility and family-building benefits through Carrot
- lunch, snacks, and coffee
- a discretionary benefit stipend
- free alphorn lessons
- Eligible full-time employees may participate in our equity plans
Benefits may vary by region and are subject to applicable plans and policies.
We value a diverse team and encourage people to apply even if their experience does not precisely match the role.
last updated 40 week of 2026