Senior Product Manager, Apple Cloud AI/ML

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $196,900–$354,100 / yr
Posted: 10 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k

This role $276k

$154k most similar roles pay here $376k

This role pays more than 94% of similar roles. Most pay $187,437–$250,259 — the shaded band above. At the midpoint, this role pays about $276k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2240 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1831 roles with salary data.

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At a glance

TL;DR · Senior Product Manager, Apple Cloud AI/ML

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As a Senior Product Manager - Apple Cloud AI/ML, you will join the team building machine learning lifecycle tools used by internal researchers and engineers to develop generative AI features for services like Music, TV+, Podcasts, iCloud, App Store, and Sports. You will work closely with engineering teams across Apple Services to identify user workflows and pain points, ultimately improving developer experience and accelerating the development of production ML pipelines. The role requires a deep understanding of machine learning, MLOps, data engineering, and ML infrastructure. You will manage product roadmaps from conception to launch while navigating technical challenges related to data platforms and public cloud technologies like AWS or GCP. This position focuses on solving complex problems in the AI/ML space by building robust tools for internal developers to power consumer-facing features.

What does a Product Manager earn in Washington?

Median $208800 from 50 postings across 17 companies.

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Skills

Machine Learning Generative AI MLOps Data Engineering ML Infrastructure Data Platforms AWS GCP Go-to-Market Strategy

What you'll do

Develop machine learning lifecycle tools used by internal researchers and engineers to build generative AI features.
Identify and address the specific use cases, workflows, and pain points of internal ML engineering teams.
Improve the developer experience for internal teams across various Apple Services.
Accelerate the development of production ML pipelines and features.
Build product roadmaps from conception to launch while driving the overall product vision.
Define go-to-market strategies and lead design discussions for technical enterprise products.
Communicate complex engineering challenges and technical risks to both technical and non-technical stakeholders.
Manage competing priorities across multiple internal customers to ensure timely project delivery.

What we're looking for

At least 10+ years of product management experience in technical enterprise products, preferably around data and AI.
Bachelor's degree in Computer Science, Electrical Engineering, Math, or a related field.
Master's degree (preferred).
Experience building product roadmaps from conception to launch, driving vision, defining go-to-market strategy, and leading design discussions.
Strong knowledge of machine learning, generative AI technologies, and working knowledge of public cloud technologies like AWS or GCP.
Ability to identify and explain challenges to both technical and non-technical personnel (preferred).
Experience communicating engineering technical challenges that may affect business timelines (preferred).
Strong verbal and written communication skills with the ability to influence and build consensus in a collaborative way (preferred).

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