Enterprise Customer Success Manager (AI)

TL;DR

Enterprise Customer Success Manager (AI): Managing adoption and driving strategic value within a portfolio of Fortune 5000 accounts with an accent on deploying AI Agents and Embedded Analytics. Focus on building technical partnerships, advising on complex data architectures (Snowflake/Databricks), and bridging business objectives with technical implementation.

Location: Must be based in or able to commute to London (Hybrid: 2-3 days per week)

Company

hirify.global is an AI-powered analytics platform designed to empower enterprises by making data insights accessible through natural language search and agentic AI workflows.

What you will do

• Drive adoption and expansion within Fortune 5000 accounts by demonstrating the ROI of AI-driven analytics.
• Guide technical stakeholders through the lifecycle of building data apps using APIs and SDKs.
• Act as the primary technical point of contact, ensuring customer feedback informs Product and Engineering roadmaps.
• Partner with customers to transition from legacy dashboards to agentic AI workflows.
• Conduct advanced workshops and live demos to showcase the capabilities of hirify.global’s platform.
• Translate complex business goals into specific technical requirements for successful AI integration.

Requirements

• 5+ years in a customer-facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) in the Data/SaaS space.
• Strong proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue).
• Deep knowledge of the modern data stack including Snowflake, BigQuery, or Databricks.
• Technical fluency in REST APIs, webhooks, and security protocols like SAML/OIDC.
• Advanced English proficiency is required; ability to speak a European language (French, Spanish, German) is highly preferred.
• Demonstrable AI literacy and experience integrating AI tools into daily professional workflows.

Culture & Benefits

• Hybrid work environment with a 2-3 day in-office expectation for collaboration and team energy.
• Commitment to a culture of trust, customer obsession, innovation, and intensity.
• Access to ongoing AI training and resources to ensure professional growth with emerging technologies.
• Emphasis on diverse perspectives and a collaborative approach to solving complex data problems.