
Technical Success Manager
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in United States.
• Facilitate Technical Delivery: Act as the main technical liaison after the sale, coordinating efforts among Solutions Architects, Forward Deployed Engineers, and Support to ensure smooth project implementation.
• Promote Adoption & Value: Assist customers throughout the implementation process, ensuring they effectively leverage Vector Search to address their unique real-world challenges and meet their business objectives.
• Project & Stakeholder Coordination: Oversee expectations for multiple customer projects. You will align customer timelines with internal engineering resources and ensure synchronization between client stakeholders and our technical teams.
• Technical Health Management: Perform regular technical health assessments and architecture evaluations to identify bottlenecks, recommend optimizations, and enhance product utilization.
• Feedback Mechanism: Serve as the customer's strategic advocate. Collect technical feedback and issues from the field to influence and prioritize the Engineering and Product roadmap.
• Crisis Resolution: Act as the escalation manager for critical technical challenges, coordinating Support and Engineering resources to eliminate obstacles in high-stakes deployments.
• Advocate Best Practices: Instruct customers on the best approaches for building Agentic AI and RAG solutions, guiding them from initial use cases to widespread enterprise adoption.
• Over 5 years of experience in a customer-facing technical delivery position.
• Demonstrated capability to manage intricate, multi-stakeholder technical projects and keep them on schedule without direct authority.
• Knowledge of the ML lifecycle, data pipelines, and the essential principles of search/retrieval systems.
• Proficient in translating complex technical challenges into business implications for executives, while also engaging in technical discussions with developers.
• Familiarity with Kubernetes and Cloud-native environments (AWS, GCP, Azure) is advantageous.
• Experience with Search technologies (Elasticsearch, Solr, Pinecone, Milvus, or Qdrant) is a plus.
• Background in "Forward Deployed" or "Professional Services" models is an advantage.
• A competitive salary accompanied by additional perks.
• Flexible working hours with an async-friendly culture.
• High ownership and significant impact.
• An open-source, engineering-driven culture.
• Option to choose your own laptop equipment.
• Comprehensive benefits package that includes 401k matching, health, dental, and vision insurance, along with a flexible PTO policy.
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