Director of Technical Support at Ada, leading 24/7 support organization with AI-driven initiatives. Shape proactive support and technical excellence in AI customer service.
Responsibilities
Champion Ada's own platform for customer support automation while owning the end-to-end technical support KPI framework, including SLA design, enforcement, and continuous optimization across all tiers, along with metrics such as CSAT, escalation rates, deflection rates, and SLA adherence.
Build and maintain an escalation framework that bridges Tier I and Tier II support and connects cleanly to Engineering and Product, serving as the executive escalation point for high-severity, high-impact client issues.
Build AI-powered workflows and set measurable AI adoption targets for the team; running regular assessments and driving continuous improvement in how AI is embedded into daily support workflows, with defined success metrics including AI-assisted ticket resolution rate, deflection rate improvement, and time-to-resolution benchmarks.
Act as the strategic connector between Technical Support, Engineering, Product, and Customer Solutions, translating raw client feedback into structured, and actionable bug reports.
Represent technical support at the leadership level, contributing to product strategy and roadmap prioritization as both a practitioner and a thought leader.
Instill rigorous backlog hygiene and queue management practices across the support organization.
Leverage observability data and AI tooling to identify systemic issues before they impact clients at scale.
Requirements
Experience in technical support or customer-facing technical roles, with recent years in a senior leadership capacity managing multi-tiered teams.
Proven track record building and scaling technical support functions in high-growth B2B SaaS, CX, or AI-native environments
Deep expertise troubleshooting RESTful APIs, cloud-based services, middleware, and modern authentication mechanisms (OAuth 2.0, JWT) utilizing debugging tools and practices: Postman, Swagger, Datadog, log analysis, and source code review; hands-on experience with LLM-based tooling, prompt engineering, AI agent workflows, and MCP integrations is required.
You don't just understand AI tools, you use them daily. You think naturally about how to automate, augment, and scale work using AI.
You have a demonstrable track record of implementing AI workflows in a support or operations context — you can point to specific tools you built or deployed, workflows you automated, and measurable outcomes you drove.
Exceptional people leader with demonstrated ability to build cohesive, high-performing teams across technical disciplines.
Strong cross-functional influencer; you earn the trust of Engineering and Product through technical credibility, not just organizational authority.
Excellent communicator who can shift fluidly between technical depth with engineers and executive-level storytelling with senior stakeholders.
You're energized by the idea of using Ada's own platform to make your team more effective, and you hold yourself to the same standard you'd set for customers.
You understand enterprise client dynamics and can navigate complex organizational relationships
Benefits
Unlimited Vacation: Recharge when you need to.
Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
Employee & Family Assistance Plan: Resources to support you and your loved ones.
Flexible Work Schedule: Balance your work and personal life.
Remote-First, In-Person Friendly: Options to work from home or at our local hub.
Learning & Development Budget: Invest in your long-term growth goals and skills.
Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
Hands-On with LLMs: Enhance your expertise in leveraging large language models.
A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.
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