Senior Manager, AI Client Enablement Platform

Jobtailor; California (MO); On-site; USD 160,000 - 210,000; Full time

Job summary

Jobtailor is seeking an accomplished Product Leader to own the Client Enablement Intelligence Platform and AI seller-assist products. You will define architecture, orchestrate reusable AI services, and ensure compliant data and builder experiences across the product line.

You will drive discovery, experiments, and validation, translating AI opportunities into measurable outcomes while balancing business value, platform investment, and risk.

Qualifications

• 10+ years of product management experience, including platform product management.

Responsibilities

• Own the vision, strategy, and roadmap for the Client Enablement Intelligence Platform and AI seller-assist products.
• Provide shared AI capabilities as governed, reusable services.
• Define platform product architecture, orchestration patterns, reusable AI services, governed data and content services, model and workflow integrations, and builder experience.
• Sequence core platform capabilities before sales experiences built on them.
• Determine where automation, agents, and human judgment should combine.
• Translate AI opportunities into product use cases, experiments, evaluation criteria, launch plans, monitoring routines, and measurable outcomes.
• Make prioritization trade-offs across business value, user needs, platform investment, delivery capacity, AI opportunity, and operational risk.
• Align with business partners on outcomes and translate them into product direction, requirements, and measurable results.
• Lead discovery, experimentation, and validation.
• Author product requirements and maintain clean data flows across products.
• Own launch readiness, adoption, training, communications, and success measurement.
• Establish platform health, builder adoption, AI adoption, experience quality, and business performance measures.
• Partner with Legal, Risk, and Compliance on client-data use and generative content.
• Partner with Insights, Analytics, Data Science, and the broader product organization.
• Frame strategies, target metrics, and evaluation criteria.
• Bridge business stakeholders and technology teams.
• Communicate strategy, priorities, roadmap, and results to leaders and stakeholders.
• Foster an inclusive, collaborative culture focused on accountability, product craft, responsible experimentation, and continuous learning.

Skills

Product management

AI-first product development

Cross-functional leadership

Excellent communication

Collaboration skills

Influencing skills

Curiosity

Team-first approach

Tools

Salesforce

Adobe

Enterprise CRM

Data science tools

AI seller-assist products

Job description

• Own the vision, strategy, and roadmap for the Client Enablement Intelligence Platform and AI seller-assist products


• Provide shared AI capabilities as governed, reusable services


• Define platform product architecture, orchestration patterns, reusable AI services, governed data and content services, model and workflow integrations, and builder experience


• Sequence core platform capabilities before sales experiences built on them


• Determine where automation, agents, and human judgment should combine


• Translate AI opportunities into product use cases, experiments, evaluation criteria, launch plans, monitoring routines, and measurable outcomes


• Make prioritization trade-offs across business value, user needs, platform investment, delivery capacity, AI opportunity, and operational risk


• Align with business partners on outcomes and translate them into product direction, requirements, and measurable results


• Lead discovery, experimentation, and validation


• Author product requirements and maintain clean data flows across products


• Own launch readiness, adoption, training, communications, and success measurement


• Establish platform health, builder adoption, AI adoption, experience quality, and business performance measures


• Partner with Legal, Risk, and Compliance on client-data use and generative content


• Partner with Insights, Analytics, Data Science, and the broader product organization


• Frame strategies, target metrics, and evaluation criteria


• Bridge business stakeholders and technology teams


• Communicate strategy, priorities, roadmap, and results to leaders and stakeholders


• Foster an inclusive, collaborative culture focused on accountability, product craft, responsible experimentation, and continuous learning

Requirements

• 10+ years of product management experience, including platform product management


• Strong experience building AI-first products and platforms


• Experience with generative AI, agents and copilots, prompt and retrieval techniques, and evaluation


• Practical fluency with Salesforce or enterprise CRM capabilities


• Practical fluency with Adobe


• Strong understanding of enterprise client workflows and systems of record


• Strong product judgment and design taste


• Experience defining AI evaluation, monitoring, feedback, and governance practices


• Cross-functional leadership and stakeholder influence across Business, Platform, Engineering, Data Science, and Insights & Analytics


• Excellent communication and collaboration skills


• Strong influencing skills


• Curiosity, humility, and a collaborative, team-first approach


• Preferred: Software, Technology, Financial services, asset management, or wealth management experience


• Preferred: Familiarity with data governance, security, responsible-AI practices, and financial-services compliance and resilience for enterprise platforms

Core Competencies

Demonstrates expertise in product management with a focus on AI-first platforms, including defining product architecture, managing cross-functional teams, and ensuring compliance with data governance and security standards. Capable of translating business needs into actionable product strategies and measurable outcomes.

Highest-signal resume keywords

• 10+ Years Product Management Experience


• AI-First Product Development


• Generative AI Experience


• Salesforce CRM Proficiency


• Cross-Functional Leadership

Hard Skills

• Product Management


• AI Evaluation Techniques


• Platform Product Architecture


• Data Governance Practices


• Monitoring and Feedback Systems


• Generative Content Services


• Workflow Integration


• Product Requirements Authoring


• Business Performance Measurement


• Client-Data Compliance

Soft Skills

• Excellent Communication


• Collaboration Skills


• Influencing Skills


• Curiosity


• Team-First Approach

Industry Keywords

• Financial Services


• Asset Management


• Wealth Management


• Responsible-AI Practices


• Enterprise Platforms

Tools & Technologies

• Salesforce


• Adobe


• Enterprise CRM


• AI Seller-Assist Products


• Data Science Tools