Senior Manager - Machine Learning Engineering

“I can be myself at work.”

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

“I can influence my income.”

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

“I can lead a full life.”

You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.

• Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

• Access on-demand professional development resources that allow you to hone existing skills and learn new ones

“I can succeed as a Senior Manager,CoreML(Machine Learning Engineering Manager – Senior) at Capital Group.”

As the Senior Manager forCoreML, you will lead an engineering organization responsible for designing, building, and operating AI/ML capabilities that shape how Capital Group’s investment professionals consume information, make decisions, and understandmarkets. Inthis role, you will guide a team that builds foundational platform components—LLM integrations, retrieval pipelines, evaluation frameworks, classification and summarization systems—and brings them to life in tools such as the Investments portal and cross-asset research applications.

Youwill serve as both a strategic leader and a hands-on engineering coach—setting direction, guiding architectural choices, elevating engineering quality, and ensuring the team delivers production-ready solutions with reliability and rigor.You will partner closely with the Product team throughout the entire lifecycle: co-developing long-term vision, shaping the roadmap, exploring opportunities, rapidly validating ideas, andexecuting againstshared goals.

A core responsibilityofthis role is cultivating an environment of learning, curiosity, and technical depth. You will create the conditions for engineers and managers to explorenew ideas, investigate emerging technologies, generate insights, and contribute to thought leadership across the firm.Your leadership will help ensure that CoreML is not only delivering solutions but also advancing understanding of what is possible with modern AI, asyoudrivetransformingambiguous problems into impactful capabilities that investors use every day.

“I am the person Capital Group is looking for”

• You have experience leading engineering teams that build andoperateML-driven products or platforms at scale.

• You have strong partnership instincts with Product—comfortable shaping strategy, co-owning roadmaps, and aligning technical investment with business priorities.

• Youpossessa deep understanding of software engineering fundamentals: OO and functional design, distributed systems, cloud architecture, testing, and operational excellence.

• You have hands-on experience developing and/or integrating ML and LLM-based systems (RAG pipelines, embeddings, evaluation frameworks, orchestration, data integrations).

• You are able to navigate ambiguity, connect details to high-level strategy, and synthesize complex information into actionable direction.

• You havestrong communicationskills: clear, structured, concise, and effective across technical and business audiences.

• Youdemonstratecuriosity, adaptability, and a willingness to evolve ideas based on new learnings or evidence.

• You take a practical approach to problem solving—balancing ideal technical solutions with real-world constraints.

• Ideally, youhave exposure to investment workflows, financial data, or high-stakes, data-intensive enterprise environments.

WhatYou WillLead

Vision, Strategy & Roadmap

• You will define and evolve the long-term strategy forCoreMLin partnership with Product—establishinga clear visionthat connects investor needs, market trends, and technical opportunity.

• You will co-author the roadmap with Product, ensuring sequencing reflects both business value and platform scalability.

Execution & Delivery

• You will lead engineering execution across distributed systems, ML pipelines, LLM-based architectures, and integration layers.

• You will translate high-level goals into clear and actionable technical plans, while ensuring solutions are reliable, maintainable, andproduction-ready.

• You will guide teams through design reviews, prototyping, experimentation, and operational rollout.

Collaboration & Stakeholder Engagement

• You will partner closely with Product throughout discovery, shaping opportunities, testing assumptions, and evolving requirements.

• You will work cross-functionally with Architecture, Cloud, Security, and downstream engineering teams to ensure strong interfaces, predictable releases, and high system resilience.

• You will engage directly with investment professionals tovalidateideas and understand real-world workflows.

Culture, Talent & Leadership

• You will build a high-performing team grounded in strong engineering fundamentals, pragmatic problem solving, and excellent communication.

• You will foster a culture of research, experimentation, and ongoing learning—encouraging engineers to explore new methods, deepenexpertise, and contribute to internal knowledge creation.

• You will develop and mentor engineering managers and senior ICs; set clear expectations and support their growth.

• You will encourage thoughtful debate, constructive feedback, openness tonew ideas, andsharedownership of team outcomes.

Innovation & Thought Leadership

• You willestablishmechanisms for structured exploration: technical deep dives, reading groups, prototypes, internal papers, or proofs of concept.

• You will partner with Product toidentifyand evaluate emerging AI/ML capabilities, model families, and architectural patterns.

• You will ensure the team’s insights are shared broadly, influencing decision making across IG Tech and investment teams.