Principal Product Manager, AI SDLC

The Role

We’re seeking a Principal Product Manager who will define and scale SoFi’s AI-powered SDLC platform. We’re on a mission to integrate AI into every facet of our product development process. Our ambition is bold, infusing AI as the engine of development velocity, powering product discovery, design, prototyping, coding, testing, release, operations, and continuous improvement.

This is not a feature PM role. This is a platform leadership role operating at the intersection of AI, developer experience, CI/CD, testing, observability, and governance. You will:

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  Own the multi-year product strategy for AI across the Product and Software Development Lifecycle.



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  Define standards for "Spec-to-Code-to-Deploy" workflows, where structured specifications can trigger AI agents to generate production-ready code, tests, and documentation.



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  Define how AI agents integrate into specs, repositories, CI/CD pipelines, testing frameworks, and operational systems and the technologies required to enable it.



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  Run fast build-measure-learn loops with internal developer users.



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  Maintain a strong bias toward experimentation, clarity, and decisive prioritization.



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  Establish measurable evaluation frameworks to ensure AI-driven workflows are reliable, safe, and continuously improving.



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  Partner with Security, Legal, Architecture, and Infrastructure teams to define governance boundaries for AI autonomy.



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  Drive cross-organizational adoption of AI-enabled development standards.



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  Communicate clearly to senior leadership on strategy, trade-offs, and measurable impact.

You will operate like a startup founder inside the company — rapidly prototyping, validating hypotheses with internal engineers, and converting early experiments into scalable platform capabilities in partnership with our principal engineers, team leads, and customers.

This role requires strong technical fluency, enterprise influence, and demonstrated experience working with AI in an engineering or product management role, ideally in larger companies.

What You’ll Bring - Experience and Domain Expertise

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  10+ years of Product Management experience, with significant experience building developer platforms, CI/CD systems, testing/quality tooling, or internal engineering products.



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  Demonstrated success shipping LLM-powered or agent-driven products into production.



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  Deep familiarity with agentic patterns (tool use, planning/execution loops, structured prompting, evaluation strategies).



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  Experience designing platform-scale products with APIs, extensibility, governance, and enterprise adoption in mind.

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  Strong architectural intuition and the ability to read and reason about code.



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  Comfort collaborating directly with senior engineers on implementation trade-offs.



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  Experience defining telemetry requirements and AI evaluation metrics.

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  Exceptional discovery skills: problem framing, hypothesis formation, prioritization, ROI analysis.



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  Experience defining measurable success criteria and evaluation frameworks for AI systems.



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  Ability to balance long-term platform investments with near-term demonstrable wins.



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  Proven track record driving cross-team initiatives involving engineering, data science, infrastructure, security, and compliance.

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  Ability to align diverse stakeholders around a bold but grounded vision.



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  Strong storytelling and executive communication skills