Director of Software Engineering, Content and Experimentation

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Columbus, OHNew York, NYPlano, TXWilmington, DE
Employment
Full-time
Posted
82 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $228k
$132k $290k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $197,800–$258,625.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Director of Software Engineering, Content and Experimentation

The Director of Software Engineering - Content and Experimentation leads a technical area within the Digital Technology team. This leader owns the engineering strategy and execution for a Content and Experimentation platform, enabling scalable content delivery, targeting, personalization, and rapid iteration. Key responsibilities include leading technology and process implementations, setting direction for agentic AI-enabled engineering, and managing SDLC and TLM automation. The role requires driving cloud-native delivery on AWS while establishing governance for feature flags, A/B/n testing, and rollout strategies. The candidate must possess expertise in Computer Science or Mathematics, with experience in API-first and event-driven architectures. Core competencies include managing cross-functional teams, overseeing coding decisions, and ensuring secure-by-design platform capabilities for content management systems and experimentation frameworks across multiple business domains.

What you'll do

  • Lead technology and process implementations to achieve functional technology objectives.
  • Set direction and governance for agentic AI-enabled engineering and SDLC automation.
  • Own the engineering strategy and execution for a Content and Experimentation platform.
  • Drive cloud-native delivery on AWS focusing on reliability, performance, and cost optimization.
  • Establish platform governance for experimentation including feature flags and A/B testing.
  • Partner with stakeholders to define platform roadmaps, SLAs, and measurable outcomes.
  • Manage team resources, budgets, tactical operations, and coding decisions.
  • Deliver technical solutions that can be leveraged across multiple businesses and domains.

What we're looking for

  • Formal training or certification on software engineering concepts and 10+ years of applied experience.
  • 5+ years of experience leading technologists to manage and solve complex technical items within a domain of expertise.
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Experience developing or leading cross-functional teams of technologists, including hiring, developing, and recognizing talent.
  • Experience leading adoption of agentic AI-enabled engineering practices and responsible AI use in engineering workflows.
  • Practical cloud-native experience with strong AWS knowledge for building and running scalable platforms.
  • Hands-on leadership experience designing and operating content delivery and experimentation capabilities in a multi-team environment.
  • Experience with content management platforms (CMS) and content lifecycle concerns (preferred).

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