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Constructor is a Series B AI-powered search and discovery platform for ecommerce, processing over 1 billion queries daily across 150 languages and 100+ countries. Customers include Sephora, Under Armour, and Petco. The company has built a proprietary search engine using transformers and generative LLMs, with engineering as the largest department.
You will lead Customer Success enablement and operationalization across Constructor's global GTM teams. This role bridges customer success, sales, product enablement, program management, and learning science—requiring fluency with AI tools and a data-driven mindset.
Key responsibilities include:
- Design and operationalize the CSM onboarding curriculum and everboarding strategy, ensuring new hires reach productivity quickly and consistently.
- Partner with CS leadership to codify best practices and translate daily CSM workflows into structured enablement roadmaps and playbooks.
- Build technical and commercial training modules that equip CSMs to explain complex e-commerce search concepts (transformers, LLMs, A/B testing) to technical and business stakeholders.
- Curate and maintain centralized knowledge resources in partnership with SMEs across Revenue Enablement, Product, Marketing, and Sales.
- Manage internal communications (newsletters, training calendars, broadcasts) to reduce noise and increase clarity.
- Integrate AI-driven enablement workflows (learning management systems, sales asset management, call analytics, generative asset creation) to scale training delivery.
- Develop competitive enablement content and battle cards in partnership with Product Marketing.
- Collect feedback and track program impact using adoption, retention, and performance data to drive continuous improvement.
- Support regional enablement needs, localizing content for diverse sales teams across markets.
- Promote a culture of data-driven continuous improvement and recognition.
This is a high-impact operational role requiring strong stakeholder management, program coordination, and the ability to translate complex product capabilities into clear, actionable learning experiences.
