Senior Customer Success Architect – AI Adoption & Enterprise Enablement Specialist (brighthush)
About brighthush and the Future of AI-Driven Collaboration
At brighthush, we believe that the most powerful teams are those that can harness the full potential of intelligent automation and data-driven insights. Our mission is to empower organizations worldwide to transform their workflows, accelerate innovation, and deliver measurable business outcomes through our cutting‑edge AI platform, Rovo. Whether you’re a product manager, an IT leader, or a senior executive, brighthush provides the tools, expertise, and community you need to unlock new levels of productivity and collaboration.
We’re not just a technology company; we’re a movement that champions equitable, explainable, and responsible AI. Our culture is built on curiosity, collaboration, and a relentless focus on customer success. If you thrive in a fast‑paced, high‑impact environment and want to shape the future of work, brighthush is the place for you.
Why This Role Matters
As a Senior Customer Success Architect – AI, you will be the linchpin between our enterprise customers and the transformative capabilities of Rovo. You’ll lead complex, time‑boxed engagements that move customers from “Rovo is turned on” to tangible, measurable value in production. Your expertise will help us scale adoption, refine our product roadmap, and set new industry standards for AI‑powered collaboration.
Key Responsibilities
- Discovery & Strategy – Facilitate high‑impact workshops with customer teams to surface pain points, map workflows, and identify AI opportunities that deliver business value.
- Solution Design – Co‑build custom Rovo agents, configure third‑party connectors, and architect end‑to‑end AI workflows that align with customer objectives.
- Deployment & Enablement – Guide customers from sandbox to production, validate agent performance, ensure data flows, and empower teams to iterate independently.
- Methodology Ownership – Own and continuously improve the engagement playbooks, ensuring repeatability, scalability, and alignment with brighthush’s best practices.
- Product & Field Collaboration – Act as the bridge between field insights and product engineering, synthesizing customer feedback into actionable roadmap priorities.
- Stakeholder Management – Partner with Account Teams, Customer Success Managers, and executive sponsors to design activation journeys and secure long‑term success.
- Thought Leadership – Represent brighthush at industry events, webinars, and customer forums, showcasing success stories and advocating for AI adoption.
- Travel & Representation – Travel up to 15% domestically and internationally to meet customers, attend conferences, and deliver workshops.
Essential Qualifications
- 7–10+ years of experience in Customer Success, AI consulting, or technical advisory roles, managing enterprise SaaS portfolios.
- Proven track record of leading or mentoring technical teams without formal management authority.
- Deep technical expertise in AI platforms, particularly Rovo, and the broader brighthush ecosystem (Jira, Confluence, Rovo Studio).
- Hands‑on experience building AI agents, prompt engineering, and integrating enterprise knowledge sources into AI systems.
- Experience deploying AI solutions at scale (10,000+ users) and operationalizing them in production environments.
- Strong understanding of LLM‑powered architectures, agentic workflows, and the nuances of enterprise AI adoption.
- Expertise in designing AI‑powered solutions for incident response, backlog management, knowledge discovery, and cross‑team collaboration.
- Familiarity with third‑party connector ecosystems (Google Drive, SharePoint, Slack, GitHub, etc.) and how to embed organizational knowledge into AI workflows.
- Excellent communication skills, capable of translating complex AI concepts into clear business outcomes for non‑technical stakeholders.
- Strong product mindset, with a history of building playbooks, methodologies, or enablement programs that others adopt and scale.
Preferred Qualifications
- Experience in a high‑growth SaaS company or a technology consulting firm.
- Background in data science, machine learning engineering, or AI product management.
- Knowledge of compliance, data Apply for this job