About the job Deployment Strategist
Deployment Strategist
Compensation: $140-180k no bonus, high equity
Location: San Francisco, CA (in-office culture)
Who Are We?
Were a fast-growing Series B startup (~$100M raised) backed by world-class investors and trusted by many companies. Our mission is to transform enterprise support by building the most advanced conversational AI agents on the market.
With a team of ~30 (and ~12 engineers), were small but mighty moving fast, solving real problems at scale, and making AI work in the wild.
What's in It for You?
This is a rare opportunity to join at an inflection point where your work directly shapes how we engage with and deliver value to our customers. You'll have the chance to travel, influence product strategy, work directly with world-class engineers, and be part of a company defining how AI is deployed in the enterprise.
Were looking for entrepreneurial minds people who love solving messy problems, obsess over customer success, and want to be on the front lines of innovation.
What Will You Do?
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Be the primary link between our customers and our product/engineering teams
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Build deep, trusted relationships with clients traveling onsite as needed
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Understand customer pain points and design playbooks to help address them
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Translate customer feedback into product insights and feature recommendations
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Create feedback loops and operationalize how we learn from users
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Define and track metrics to ensure long-term customer success
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Build scalable systems and repeatable processes for future deployments
What Will You Need?
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4+ years in a customer-facing or technical strategy role (e.g., founder, product manager, deployed engineer, engagement/customer success manager)
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A technical background you're fluent in translating between business needs and engineering roadmaps
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Excellent communication and cross-functional collaboration skills
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A bias toward action you like rolling up your sleeves and solving todays problem while designing for tomorrows scale
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A passion for AI and its potential to solve real-world challenges
If you're looking to shape how cutting-edge AI is deployed at scale and you want to do it with a scrappy, talented team this could be your next move.