Head of Product Engineering

Abbott

Quick summary

Work type
On-site
Location
Alameda, CA
Salary
$172,000–$344,000 / yr
Posted
1 day ago
Closes
Jun 19, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $258k
$122k most similar roles pay here $368k

This role pays more than 91% of similar roles. Most pay $152,050–$221,250 — the shaded band above. At the midpoint, this role pays about $258k versus about $187k for comparable roles.

Based on 239 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 56 open roles on FindRole.

Listed pay typically runs $113,300–$226,700 across 54 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Head of Product Engineering

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The Head of Product Engineering role at Lingo is a strategic and hands-on leadership position for an experienced builder with deep expertise in architecting large-scale SaaS systems. This leader will translate product roadmaps into executable engineering strategies, actively participate in system design reviews, and drive the architecture of AI-powered features such as personalized health insights and conversational experiences. They will also build and scale a Product Engineering organization, ensuring alignment with regulatory requirements like HIPAA and GDPR while championing best practices for continuous delivery and API-first design. The ideal candidate has extensive experience in software engineering, particularly in multi-tenant architectures, cloud-native infrastructure, and AI/ML system design, and is adept at organizational design and scaling high-performing teams in regulated environments.

Skills

AWS GCP Azure Python JavaScript RESTful APIs GraphQL Kubernetes Docker CI/CD API-first design Terraform PostgreSQL MongoDB Git GitHub Jenkins Prometheus Grafana HIPAA GDPR FDA software guidance LLMs RAG pipelines Test-driven development

What you'll do

  • Define and own SaaS architecture strategy for multi-tenant models and scalable systems.
  • Drive AI-powered product features including personalized health insights and predictive analytics.
  • Establish engineering standards for AI system design, ensuring responsible AI practices.
  • Build and lead a high-performing Product Engineering organization across various disciplines.
  • Identify technical debt and organizational blockers to improve product delivery velocity.
  • Champion engineering best practices like test-driven development and continuous delivery.

What we're looking for

  • Over 18 years of hands-on software engineering experience with a focus on large-scale SaaS platforms.
  • Proven track record in architecting and delivering AI-powered products, including integration of LLMs into production systems.
  • Deep expertise in system design, distributed systems, data models, caching strategies, and real-time data pipelines.
  • Demonstrated success in building and scaling high-performing product engineering teams across various disciplines.
  • Strong understanding of regulatory requirements (HIPAA, GDPR) for AI/ML systems in regulated industries.
  • Experience driving multi-year product engineering roadmaps in fast-paced, highly regulated environments.

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