Principal Product Manager, AI SDLC at SoFi

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

330000.0

Posted On

10 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI, SDLC Platform, Developer Experience, CI/CD, Testing, Observability, Governance, LLM-Powered, Agentic Patterns, API Design, Architectural Intuition, Experimentation, Prioritization, Executive Communication, Technical Fluency

Industry

Financial Services

Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. 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: Own the multi-year product strategy for AI across the Product and Software Development Lifecycle. Define standards for “Spec-to-Code-to-Deploy” workflows, where structured specifications can trigger AI agents to generate production-ready code, tests, and documentation. Define how AI agents integrate into specs, repositories, CI/CD pipelines, testing frameworks, and operational systems and the technologies required to enable it. Run fast build-measure-learn loops with internal developer users. Maintain a strong bias toward experimentation, clarity, and decisive prioritization. Establish measurable evaluation frameworks to ensure AI-driven workflows are reliable, safe, and continuously improving. Partner with Security, Legal, Architecture, and Infrastructure teams to define governance boundaries for AI autonomy. Drive cross-organizational adoption of AI-enabled development standards. 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 10+ years of Product Management experience, with significant experience building developer platforms, CI/CD systems, testing/quality tooling, or internal engineering products. Demonstrated success shipping LLM-powered or agent-driven products into production. Deep familiarity with agentic patterns (tool use, planning/execution loops, structured prompting, evaluation strategies). Experience designing platform-scale products with APIs, extensibility, governance, and enterprise adoption in mind. Strong architectural intuition and the ability to read and reason about code. Comfort collaborating directly with senior engineers on implementation trade-offs. Experience defining telemetry requirements and AI evaluation metrics. Exceptional discovery skills: problem framing, hypothesis formation, prioritization, ROI analysis. Experience defining measurable success criteria and evaluation frameworks for AI systems. Ability to balance long-term platform investments with near-term demonstrable wins. Proven track record driving cross-team initiatives involving engineering, data science, infrastructure, security, and compliance. Ability to align diverse stakeholders around a bold but grounded vision. Strong storytelling and executive communication skills Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Responsibilities

The Principal Product Manager will own the multi-year product strategy for integrating AI across the entire Product and Software Development Lifecycle, defining standards for workflows that trigger AI agents to generate production-ready code, tests, and documentation. This role involves running rapid build-measure-learn loops with internal developers, establishing evaluation frameworks for AI-driven workflows, and partnering with security and legal teams on governance boundaries.