Engineering Program Manager

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$175,500–$263,800 / yr
Posted
87 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $220k
$142k most similar roles pay here $277k

This role pays more than 67% of similar roles. Most pay $171,850–$237,150 — the shaded band above. At the midpoint, this role pays about $220k versus about $204k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Engineering Program Manager

The Engineering Program Manager joins the Decision Intelligence team to scale AI-enabled insights generation and data operations within the Sales organization. This role involves coordinating cross-functional work across engineering, data science, analytics, and business teams to ensure that insights are accurate, operationally reliable, and integrated into real-world sales workflows. The manager is responsible for owning execution plans, managing dependencies across data pipelines and semantic layers, and establishing repeatable operating processes for insight lifecycle management. Key responsibilities include tracking roadmap milestones, ensuring launch readiness, and communicating risks to leadership. Candidates should possess experience in data science or engineering, specifically with LLM-generated summaries and automated insights. Preferred technical skills include familiarity with Jira, Confluence, Tableau, GitHub, Airflow, dbt, Snowflake, Spark, and Databricks to solve complex problems regarding data quality, model behavior, and infrastructure reliability.

What you'll do

  • Manage the execution plan for insights generation and data operations workstreams, including timelines, priorities, and risks.
  • Coordinate the end-to-end delivery cycle from gathering business requirements to post-launch monitoring.
  • Establish repeatable operating processes for requesting, building, validating, and releasing data insights.
  • Track and unblock dependencies across data sources, pipelines, semantic layers, and AI-generated outputs.
  • Ensure launch readiness by verifying data quality, business logic, documentation, and support plans.
  • Communicate status, risks, and technical trade-offs clearly to engineering leads and senior leadership.
  • Translate complex business needs into actionable execution plans for cross-functional technical teams.

What we're looking for

  • Must have 8+ years of experience in engineering program management, data program management, analytics operations, or related roles.
  • Must have hands-on experience in data science or data engineering involving shipped pipelines, models, or production analytics.
  • Must possess a B.S. degree in Engineering, Computer Science, Data Science, Information Systems, or equivalent practical experience.
  • Must be able to manage cross-functional programs including roadmap tracking, milestone management, and risk management.
  • Must have strong knowledge of data operations workflows such as ingestion, quality checks, and business logic validation.
  • Must have experience with AI-enabled analytics, LLM-generated summaries, and human-in-the-loop validation.
  • Must possess strong communication skills to explain technical topics to both technical and non-technical audiences.
  • An advanced degree in a quantitative or technical field is preferred.

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