AI Innovation Platform Head
TIDB
full-time
Posted on:
Location Type: Remote
Location: California • Washington • United States
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Job Level
About the role
- Lead the strategy and execution for making TiDB the unified data platform for AI applications, including the development and release of AI SDKs.
- Drive integrations with major OSS AI frameworks and establish technical partnerships with key AI partners & players.
- Spearhead the development of innovative AI solutions and Proof-of-Concepts (PoCs) that showcase TiDB's capabilities in the AI ecosystem.
- Own and manage the AI product innovation pipeline (e.g., "Pantheon AI").
- Own and be responsible for achieving the AI Industry SMB Sales quota in the North American market.
- Develop and execute the go-to-market (GTM) strategy for AI products in the NA SMB segment.
- Identify, qualify, and develop new sales opportunities, working closely with the sales and marketing teams to build a robust pipeline.
- Translate product innovations and partner integrations into tangible value propositions and revenue streams.
- Champion the development of AI-powered tools to enhance internal operational efficiency, including pricing strategy assistants, sales chatbots, and automated workflow systems.
- Oversee the development and maintenance of critical online services and educational platforms (e.g., TiDB Labs, ossinsight.io, tidb.ai), ensuring high availability and SLA compliance.
- Drive the development of online services for the Cloud Business Group (CBG), such as aggregated search, bug tracking, and partner portals.
- Foster a culture of AI adoption and enablement across all business functions.
- Utilize a data-first approach to build dashboards and analytics for Product-Led Growth (PLG) campaign attribution and Account-Based Marketing (ABM) analysis.
- Partner with Marketing to develop unified campaign performance dashboards for ICP (Ideal Customer Profile) analysis and optimization.
- Collaborate with internal stakeholders like Finance, Business Operations to implement AI-powered dashboards for business planning & analysis, targeting significant efficiency gains.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. An MBA is a plus.
- 7+ years of experience in a product leadership, technical sales, or innovation role with a strong focus on AI/ML, preferably within the data infrastructure or cloud services industry.
- Proven track record of achieving or exceeding sales or business growth targets for technical/software products, specifically in the North American market.
- Experience successfully shipping AI/ML products and solutions from concept to production and commercialization.
- Deep understanding of the Generative AI ecosystem, including frameworks like LangChain and LlamaIndex, and their application in data platforms.
- Strong technical acumen with experience in SDK development, cloud services (Azure, Alibaba Cloud), and managing online platforms with high SLAs.
- Exceptional commercial acumen, with the ability to develop GTM strategies, articulate value propositions, and close deals.
- Demonstrated experience in using data and analytics to drive business growth, marketing effectiveness, and operational efficiency.
- Excellent leadership and communication skills, with the ability to influence and align cross-functional teams and senior stakeholders.
Benefits
- Flexible working hours
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI SDK developmentAI solutions developmentProof-of-Concepts (PoCs)GTM strategy developmentdata analyticsSDK developmentcloud servicesGenerative AI frameworkscommercialization of AI productsdata infrastructure
Soft Skills
leadershipcommunicationcommercial acumencross-functional collaborationinfluencestrategic thinkingproblem-solvingteam alignmentsales acumenoperational efficiency
Certifications
Bachelor's degree in Computer ScienceMaster's degree in EngineeringMaster's degree in Data ScienceMBA