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AI Strategy & Deployment Manager

Manage client portfolios and partner with sales leaders to drive business growth through innovative technology solutions.

Location
Palo Alto
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 6 days ago

First seen on Joblaze 2 days ago

Last verified on the company career page 4 hours ago

Apply at Databook → Save job Scanned from trydatabook.com

What you'll build

  • Lead value-driven pre-sales engagements
  • Focus on customer retention and growth
  • Own seamless post-sales delivery
  • Ensure onboarding and enablement processes
  • Conduct quarterly business reviews

Must have

  • 5+ years in strategy and operations roles
  • At least 3 years at a top-tier strategy firm or Big 4
  • C-Suite and Boardroom presence
  • Deep RevOps and technology expertise
  • Familiarity with Sales and Salesforce

Nice to have

  • MBA or advanced degree

AI in the day-to-day

Hands-on experience applying AI/ML solutions to optimize revenue operations and customer success strategies.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The AI Strategy & Deployment Manager at Databook is responsible for managing client portfolios and collaborating with sales leaders to drive business growth through tailored technology solutions. This role requires expertise in revenue operations technology and AI applications, along with strong relationship-building skills to ensure customer success and retention. Ideal candidates have significant experience in strategy and operations, particularly within top-tier firms, and are comfortable engaging with C-suite executives. Databook emphasizes a collaborative approach, working closely with clients and internal teams to enhance go-to-market productivity.

Joblaze insights

  • Listed 2 days ago — first seen on Joblaze September 28, 2026. Last confirmed on Databook's careers page September 30, 2026.
  • AI/ML appears in 20.6% of 806 comparable senior management roles in United States; CMS appears in 0.1% of 806 comparable senior management roles in United States.

Quick facts

How much experience is required?
At least 5 years of relevant experience for this AI Strategy & Deployment Manager role.
What's the tech stack?
Joblaze extracted these technologies from the posting: ABM, AI/ML, CMS, CRM, Sales Intelligence, Salesforce.
What seniority level is this role?
Databook targets senior candidates for this position.
Is this full-time or contract?
Full-time for this AI Strategy & Deployment Manager role at Databook.

From the original posting

About Databook
Databook is the AI guided selling platform and decision-support system built for enterprise GTM teams. Its three-layer architecture—verified customer-back intelligence, structured agentic reasoning, and guided coaching with closed-loop analytics—gives revenue organizations the consistency, confidence, and leadership visibility they need to win complex enterprise deals. Databook's customers drive more than $500B in annual revenue and include Salesforce, Microsoft, Databricks, Konica Minolta, and Schneider Electric. Learn more at 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. Key objectives include onboarding new customers, ensuring their success and retention, and proactively expanding relationships. Responsibilities range from seamless customer onboarding and enablement, tailored AI solution delivery, and workflow optimization to driving customer satisfaction, adoption, and renewal rates. The role also involves conducting business reviews, providing dedicated support, monitoring account health and consumption, and cultivating strong executive relationships—all with the aim of maximizing customer value, fostering long-term partnerships, and sustaining high net retention.

Key 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

  • 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. Work with Agent Builders to deploy agentic workflows, and lead go-live readiness including QA and UAT to ensure successful customer outcomes.

  • 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.

  • 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

  • Orchestrate co-sell and co-marketing initiatives with Salesforce's ISV partnership and AppExchange teams to generate joint pipeline

  • Demand Generation (Workflow Expansion): Identify opportunities to expand workflows and drive demand generation efforts.

  • Guiding Workflow Choices: Assist customers in selecting optimal workflows to maximize go-to-market productivity.

  • Building a Champion Network: Develop strong relationships with key stakeholders to build a network of champions within client organizations.

  • Quarterly Business Reviews: Conduct regular business reviews to assess progress and align strategies with customer goals.

  • Point of contact Account Management to ensure customer success and satisfaction.

  • Key Metrics include: Net Retention (Focus on maintaining a high net retention rate), Account Consumption (Monitor and optimize account consumption of deployed workflows), Account Relationship Health (Foster strong relationships with workflow owners to ensure healthy account dynamics)

What you’ll bring

  • 5+ years in strategy and operations roles, with at least 3 years at a top-tier strategy firm (such as McKinsey, Bain, BCG) or within a Big 4 strategy practice, leading go-to-market (GTM) and commercial excellence programs.

  • 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.

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

  • Strategic and Operational Agility: High emotional intelligence with a reputation as a change agent who can balance big-picture strategic framing with hands-on, sleeves-rolled-up execution.

  • Academic Credentials: Bachelor’s degree required; MBA or advanced degree preferred.

Databook provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, genetic characteristics, or any other considerations made unlawful by applicable state or local laws. 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. Databook expressly prohibits any form of workplace harassment based on race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, or genetic characteristics.

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