Databook

Databook

AI Strategy & Deployment Manager

Palo Alto

Sponsorship not specifiedDetected 15 days ago
DatabricksMachine LearningSalesforceCRMAccount ManagementOnboardingCustomer SuccessLeadershipMentoring

About the role

  • Learn more at www.databook.com http://www.databook.com.
  • Role Summary This role centers on managing a portfolio of clients and partnering with sales leaders in leading tech and consulting firms to accelerate business growth through innovative technology solutions.
  • range from seamless customer onboarding and enablement, tailored AI solution delivery, and workflow optimization to driving customer satisfaction, adoption, and renewal rates.

Responsibilities

  • Lead Value-Driven Pre-Sales Engagements: Deliver compelling, outcome-focused demonstrations aligned to customer priorities.
  • Lead technical discovery to assess workflow fit and data feasibility, and identify opportunities to drive expansion through increased platform adoption
  • Work with Agent Builders to deploy agentic workflows, and lead go-live readiness including QA and UAT to ensure successful customer outcomes.
  • CSAT and Adoption (Renewals): Drive high customer satisfaction and adoption rates to secure renewals and long-term partnerships.
  • Develop and execute a multi-year strategic account plan: Including stakeholder maps, expansion roadmaps, and mutual success plans aligned to Salesforce's internal priorities
  • Demand Generation (Workflow Expansion): Identify opportunities to expand workflows and drive demand generation efforts.
  • Building a Champion Network: Develop strong relationships with key stakeholders to build a network of champions within client organizations.
  • C-Suite and Boardroom Presence: Regular engagement with C-level executives, providing strategic counsel and building trusted relationships at the highest organizational levels.
  • Deep RevOps and Technology Expertise: In-depth understanding of the revenue operations technology stack-including CRM, CMS, ABM, and Sales Intelligence platforms-as well as hands-on experience applying AI/ML solutions to optimize revenue operations and customer success strategies.
  • Deliver compelling, outcome-focused demonstrations aligned to customer priorities.

Requirements

  • Familiarity with Sales, Salesforce and the Sales SaaS/AI tech domain

Nice to have

  • Bachelor's degree required
  • MBA or advanced degree preferred.
  • This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
  • Academic Credentials: Bachelor's degree required

Compensation

  • Databook's customers drive more than $500B in annual revenue and include Salesforce, Microsoft, Databricks, Konica Minolta, and Schneider Electric.

Company info

  • Focus on retaining existing customers and expanding accounts by delivering tailored business solutions that enhance sales pipelines and account intelligence.
  • Ensure seamless onboarding and enablement processes for new customers, aligning with their business objectives.
  • Assist customers in selecting optimal workflows to maximize go-to-market productivity.
  • Customer Retention and Growth: Focus on retaining existing customers and expanding accounts by delivering tailored business solutions that enhance sales pipelines and account intelligence.
  • Own Seamless Post-Sales Delivery: Partner closely with customers and Applied AI to ensure a smooth transition from pre-sales to delivery.
  • Onboarding and Enablement: Ensure seamless onboarding and enablement processes for new customers, aligning with their business objectives.
  • Shape The Future of AI GTM Product Innovation: Collaborate with Customers and our Product and Engineering teams to identify new agentic patterns that drive GTM productivity.
  • Guiding Workflow Choices: Assist customers in selecting optimal workflows to maximize go-to-market productivity.
  • Partner closely with customers and Applied AI to ensure a smooth transition from pre-sales to delivery.
  • Collaborate with Customers and our Product and Engineering teams to identify new agentic patterns that drive GTM productivity.
  • Key objectives include onboarding new customers, ensuring their success and retention, and proactively expanding relationships.
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This listing is sourced directly from Databook's careers page and normalized into a canonical job model.