Platform Product Manager

Ally Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Charlotte, NC
Salary
$110,000–$180,000 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $196k
This role $145k
$95k $250k
below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $169,550–$221,750 — the blue band above. At the midpoint, this role pays about $145k versus about $196k for comparable roles.

Based on 240 similar postings.

Employer

About Ally Financial

Ally Financial is a US-based digital financial services company offering online banking, auto financing, mortgage, and investment products. It is one of the largest all-digital banks in the United States.

Ally Financial currently has 28 open roles on FindRole.

Listed pay typically runs $110,000–$180,000 across 27 roles with salary data.

Most-posted roles

View all roles at Ally Financial

At a glance

TL;DR · Platform Product Manager

JOB TITLE: Platform Product Manager The Manager, Product Management – Enterprise Data & AI Platforms joins the Data & AI Platform team to define and deliver the product strategy and multi-quarter roadmap for shared GenAI, machine learning, data, and knowledge platforms. This role owns developer-facing capabilities including AI gateways, agent frameworks, model registries, and reliability dashboards. You will translate business needs into secure, governed, and SLA-backed products while managing prioritization, versioning, and cost metrics. Key responsibilities involve partnering with engineering and Model Risk Management to manage the AI Development Life Cycle in a regulated financial-services environment. You will utilize technologies such as Amazon Bedrock, SageMaker, and Azure OpenAI. The role solves the challenge of creating a paved-path, self-service platform that balances technical trade-offs with measurable business outcomes like cycle-time reduction and operational efficiency.

What you'll do

  • Define and deliver the multi-quarter product strategy and roadmap for shared GenAI, machine learning, and data platforms.
  • Own developer-facing capabilities including AI gateways, agent frameworks, model registries, and reliability dashboards.
  • Translate business workload needs into reusable, secure, and SLA-backed platform products.
  • Manage product prioritization, versioning, adoption metrics, and cost-to-serve telemetry for all platform products.
  • Partner with FinOps and engineering teams to monitor unit economics like cost-per-inference and GPU utilization.
  • Represent the platform in Enterprise Architecture and Model Risk Management forums to provide technical trade-offs and recommendations.
  • Instrument products with adoption and reliability telemetry to provide visible health metrics to executive leadership.
  • Package recurring workload patterns into reusable products to establish a "paved path" for the organization.

What we're looking for

  • Bachelor of Science in a relevant field or equivalent combination of education and experience.
  • 10+ years of combined experience in product management and hands-on ML, GenAI, or data/AI engineering.
  • 5+ years of experience owning developer-facing, platform, or internal PaaS products at enterprise scale.
  • 3+ years of hands-on practitioner experience as an ML Engineer, Applied Scientist, Data Scientist, or Staff Engineer.
  • Proven experience delivering GenAI and ML platform roadmaps including gateways, agent frameworks, and evaluation harnesses.
  • Strong knowledge of modern AI stacks (Amazon Bedrock, SageMaker, Azure OpenAI) and the AI Development Life Cycle.
  • Expertise in responsible AI, including model governance, risk management, and monitoring for bias or hallucinations.
  • Advanced degree in Computer Science, Engineering, Data Science, or a related field (preferred).

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