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Capital Group

Asset management with long-term portfolios

Senior Manager - AI Client Enablement Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-time$208.2k - $375.3k

About the Job

Requirements

  • At least 10 years of product management experience, including platform product management building shared, reusable capabilities for other teams.
  • Strong experience building AI-first products and platforms, including generative AI, agents and copilots, prompt and retrieval techniques, and evaluation.
  • Practical fluency with Salesforce or enterprise customer relationship management capabilities, Adobe, and a strong understanding of enterprise client workflows and systems of record.
  • Strong product judgment and design taste, with the ability to distinguish good from great experiences and raise the bar for usability, trust, accessibility, and end-to-end experience quality.
  • Experience defining AI evaluation, monitoring, feedback, and governance practices that help teams test, launch, learn from, and scale AI-enabled capabilities responsibly.
  • Cross-functional leadership and stakeholder influence across Business, Platform, Engineering, Data Science, and Insights & Analytics.
  • Ability to rationalize, challenge, and prioritize to drive group decisions.

Responsibilities

  • Own the vision, strategy, and roadmap for the Client Enablement Intelligence Platform and the AI seller-assist products and sales experiences it powers.
  • Provide shared AI capabilities as governed, reusable services rather than one-off features rebuilt in each product.
  • Define the product architecture for the platform, including orchestration patterns, reusable AI services, governed data and content services, model and workflow integrations, and the builder experience required for teams to build safely and consistently.
  • Sequence the platform-first mandate by establishing core capabilities first, followed by the sales experiences built on them.
  • Determine where automation, agents, and human judgment should combine to create value, and set standards for AI experiences across products.
  • Translate AI opportunities into practical product use cases, experiments, evaluation criteria, launch plans, monitoring routines, and measurable outcomes.
  • Make trade-offs across business value, user needs, platform investment, delivery capacity, AI opportunity, and operational risk when setting priorities.
  • Align with business partners on outcomes and translate them into clear product direction, requirements, and measurable results.
  • Lead discovery, experimentation, and validation so the team builds the right capabilities before committing to build.
  • Author product requirements that map pain points to platform features and workflows, and keep data flowing cleanly across products to give sellers a unified experience.
  • Own launch readiness, adoption, training, and communications, and measure success through meeting-preparation time saved, engagement quality, coverage, and adoption across teams.
  • Establish success measures for platform health, builder adoption, AI adoption, experience quality, and business performance, using insights to inform roadmap decisions and continuous improvement.
  • Partner with Legal, Risk, and Compliance to ensure client-data use and generative content align with financial-services requirements.
  • Partner with Insights, Analytics, and Data Science teams and the broader product organization on shared solutions and experiences.
  • Frame strategies, target metrics, and evaluation criteria.
  • Serve as the primary bridge between business stakeholders and technology teams, building alignment without relying on direct authority.
  • Communicate strategy, priorities, roadmap, and results to leaders and stakeholders to support informed decisions and organizational alignment.
  • Foster an inclusive, collaborative culture that encourages accountability, strong product craft, design taste, responsible experimentation, and continuous learning.

Desired Qualifications

  • Experience in software, technology, financial services, asset management, or wealth management.
  • Familiarity with data governance, security, responsible AI practices, and financial-services compliance and resilience for enterprise platforms.

About the Company

Capital Group

Asset management with long-term portfolios

Capital Group is a private investment firm managing equity and fixed-income assets for millions of investors. It builds long-term, high-conviction portfolios using rigorous research and the American Funds lineup to pursue steady, durable results rather than short-term trades. It differentiates itself through strong personal accountability, a globally distributed team, and a research-driven investment process. Its goal is to improve people’s lives through successful investing.

Company size
5,001-10,000
Company stage
Not listed
Total funding
$65.4B
Headquarters
Dongcheng District, China
Founded
Not listed

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