Join Sierra as a Strategist to shape AI agents for top brands, driving customer success and business growth.
Posted by employer 9 hours ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Sierra works with AI agents to transform customer service and business growth.
Requirements
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Agent Strategist at Sierra, the individual will manage the entire lifecycle of AI agents, from initial design to deployment and ongoing optimization, ensuring they effectively address customer needs. Key skills include a strong understanding of technical concepts, strategic problem-solving, and the ability to communicate across diverse audiences. This position is ideal for MBA graduates with a background in technology and business, particularly those who thrive in complex environments and have experience with AI solutions. Sierra emphasizes a culture of trust and customer obsession, making it a fitting environment for those who value collaboration and innovation.
Joblaze insights
Quick facts
From the original posting
This role is open to MBA students graduating in spring 2027.
As an Agent Strategist, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business.
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.
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.
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.
Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
These are the kinds of projects that strategists on our team have worked on recently:
Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers.
Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog for examples.
Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome week over week.
Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
Communication. Clear, direct, and persuasive across technical and non-technical audiences.
Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed.
A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or experience at the intersection of technology and business.
Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
Flexible (unlimited) paid time off
Life insurance and disability benefits
Retirement plan dependent on country of employment
Parental leave
Fertility and family building benefits through Carrot
Free alphorn lessons
Standard company text repeated across Sierra's postings is omitted here.
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