AI Outcomes Engineer
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Role details
Tech stack
Job description
- Own the end-to-end customer lifecycle post-sale, including onboarding, adoption, value realization, and expansion readiness.
- Serve as the primary business and technical point of contact for customer stakeholders.
- Build and drive success plans, stakeholder maps, and program milestones.
- Lead onboarding execution, workflow alignment, and operational enablement activities.
- Tailor solutions during onboarding to maximize long-term customer success and value realization.
- Drive adoption by helping customers mature workflows and expand usage over time.
- Run customer communication cadences, including status reviews, executive check-ins, and QBRs.
- Manage customer health, risks, blockers, and escalations through strong cross-functional coordination.
- Partner with AI Security Engineers when advanced technical expertise, complex investigations, or new capability requirements arise.
- Surface customer insights and product feedback to help improve the platform and inform roadmap priorities.
Requirements
Do you have experience in Systems integration?, * 5+ years of experience in Technical Account Management, Customer Success, Solutions Engineering, Implementation, or a similar customer-facing role.
- Experience managing enterprise or strategic customer relationships in cybersecurity, AI, or other complex technology environments.
- Strong program management skills, with the ability to drive alignment across multiple stakeholders, workstreams, and milestones.
- Technical fluency with workflows, integrations, APIs, platform implementations, and operational systems.
- Ability to translate technical concepts into clear business value for both practitioner and executive audiences.
- Demonstrated history of exceptional customer advocacy, with the confidence to challenge internal assumptions and norms in service of customer outcomes.
- Proven track record of driving onboarding, adoption, change management, and measurable customer outcomes.
- Strong judgment in navigating ambiguity, prioritizing issues, and driving resolution.
- Excellent written and verbal communication skills.
- Experience with AI, automation, and security operations platforms preferred.
- Experience in startup or high-growth environments preferred.
About the company
As one of the early members of our CX organization, you will play a key part in shaping how we deliver a three-star Michelin experience at scale, influence product direction through customer insight, and build the operational foundation for AI-enabled customer outcomes.
You will partner closely with Product, Engineering, and Sales to lead onboarding, adoption, value realization, and expansion readiness across customer accounts. You’ll drive technical enablement, workflow alignment, stakeholder alignment, and strategic guidance while serving as an accountable owner for the post-sale customer lifecycle.
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