Technical Account Manager driving enterprise customer success for Socket, an open - source security platform. Leading onboarding, troubleshooting, architecture reviews, and product adoption.
About the role
- Senior Technical Account Manager implementing Airbyte’s data and action layer for AI agents. Guiding enterprise customers through technical adoption, integrations, and AI-ready data architecture.
Responsibilities
- Lead and execute customer technical projects, including implementation and deployment of Airbyte solutions
- Ensure implementations align with client requirements and industry best practices
- Guide customers throughout their customer journey with technical expertise and hands-on support
- Troubleshoot Kubernetes workloads, pods, networking, storage, resource management, and deployment issues in production
- Troubleshoot complex data movement issues involving SQL, CDC, database replication, and data synchronization
- Troubleshoot REST API integrations involving HTTP methods, OAuth, API keys, JWT, webhooks, and JSON
- Advise customers on integrating LLM-based tooling with existing data infrastructure and Airbyte connectors
- Work directly with clients’ technical teams to understand needs and tailor solutions
- Collaborate with technical support, Product, and Engineering to address issues and deliver features
- Help clients evaluate and adopt AI agent frameworks
- Collaborate with Sales to identify and drive customer growth opportunities
- Act as the internal source of truth for customer technical requirements and needed functionality
- Partner with Product and Engineering to influence the roadmap
- Demonstrate Airbyte’s offerings and best practices to clients and at industry events
- Serve as a brand ambassador and foster relationships with key stakeholders
- Evangelize best practices for building AI-ready data stacks
- Create and deliver technical content including blog posts, demos, and conference talks
Requirements
- 6+ years of experience in a customer-facing technical role, such as Technical Account Manager, resident solutions architect, professional services engineer, or consulting role
- Deep, hands-on Kubernetes experience in production environments, including troubleshooting workloads, pods, networking, storage, resource allocation, and deployment issues
- 2+ years of experience in a startup environment, ideally in modern data infrastructure, including cloud applications, databases, ELT tools, data warehouses or related fields
- Hands-on experience with one or more AI frameworks
- Exposure to AI agent frameworks and prompt engineering best practices is a strong plus
- Proven track record of supporting products that directly impact business productivity
- Exceptional customer orientation with a focus on delivering seamless onboarding and ongoing technical success
- Strong interpersonal and presentation skills
- Remote from Toronto, supporting East Coast Timezone
Benefits
- Flexible PTO with a culture that encourages at least 25 days off annually
- 16 weeks fully paid parental leave for all parents
- Comprehensive medical, dental, and vision coverage for employees and dependents
- 401(k) retirement plan
- Professional development budget, conference sponsorship, and book reimbursement
- Commuter benefits and monthly internet reimbursement
- Breakfast and lunch in our San Francisco office
- Equity
- Commission
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