Senior Engineering Manager, Forward Deployed Engineering (AI Platforms)

Target

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$132,000–$238,000 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Oct 9, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $185k
$116k most similar roles pay here $279k

This role pays less than 75% of similar roles. Most pay $184,837–$262,512 — the shaded band above. At the midpoint, this role pays about $185k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 64 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 64 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Engineering Manager, Forward Deployed Engineering (AI Platforms)

Sr. Engineering Manager - Forward Deployed Engineering (AI Platforms) leads a customer-facing engineering team dedicated to accelerating the adoption of Target's AI Platform, including Agent Platform, Context Intelligence, and AI Developer Experience. You will manage and coach a high-performing team of Forward Deployed Engineers while serving as the primary engagement layer between platform teams and consumers. Daily responsibilities include providing architecture guidance, prototyping AI-powered solutions, and translating customer needs into reusable platform capabilities. The role requires expertise in software engineering, cloud-native applications, distributed systems, and APIs. You will work with generative AI, Large Language Models, agentic systems, and retrieval/context architectures to solve complex problems. Key technical competencies include Agile, DevOps, CI/CD, and observability. This role focuses on the specific domain of building scalable, secure, and responsible AI solutions within a large enterprise technology environment.

What does a Engineering Manager earn?

Median $257150 from 146 postings across 44 companies.

See salary data

What you'll do

  • Build, lead, and develop a high-performing team of Forward Deployed Engineers through coaching and performance management.
  • Serve as the primary engineering engagement layer between AI Platform teams and internal platform consumers.
  • Drive platform adoption through technical onboarding, architecture guidance, and implementation support for internal customers.
  • Lead rapid discovery and prototyping of high-value AI solutions using Agent Platform and Context Intelligence capabilities.
  • Remain technically engaged by making architecture decisions, performing code reviews, and solving complex engineering problems.
  • Establish governance and reusable engineering patterns for agent development, security, and Responsible AI standards.
  • Translate recurring customer needs into reusable platform capabilities in partnership with the Platform Engineering team.
  • Improve developer experience by enhancing documentation, self-service tools, and overall platform adoption metrics.

What we're looking for

  • A 4-year degree in Computer Science, Engineering, or equivalent experience is required.
  • At least 7 years of software engineering experience is required.
  • At least 1 to 3+ years of experience leading and managing engineering teams is required.
  • Experience with AI/ML technologies including generative AI, LLMs, agentic systems, and retrieval architectures is required.
  • Strong knowledge of cloud-native applications, APIs, distributed systems, and modern software engineering practices is required.
  • Deep understanding of Agile, DevOps, CI/CD, observability, and production engineering practices is required.
  • Experience with developer platforms, frameworks, APIs, SDKs, or developer-facing technologies is preferred.
  • Strong communication skills to influence technical teams, business partners, and senior leaders are required.

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