Sr. Manager, Platform Engineering

UnitedMasters | Translation

$210K — $230K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in people management of engineering teams
  • Proven experience in leading platform capabilities for AI agents
  • Strong technical proficiency in AWS, Kubernetes, and CI/CD tools
  • Demonstrated success in improving developer productivity and software quality
  • Excellent communication and stakeholder management skills
  • Experience in hiring and mentoring technical talent

Responsibilities

  • Lead and develop a high-performing platform engineering team
  • Define and execute the engineering platform roadmap
  • Build capabilities for deploying and managing AI agents
  • Drive the adoption of agentic development practices
  • Manage cloud infrastructure including Kubernetes and CI/CD
  • Enhance developer experience for software building and deployment
  • Oversee the foundational elements of the data platform

Benefits

  • Comprehensive health and wellness programs
  • 401k match and retirement savings plan
  • Opportunities for professional development and growth
  • Potential for stock options and bonuses
  • Flexible work arrangements to support work-life balance
Full Job Description
We're hiring a Senior Manager of Platform Engineering to lead the team responsible for the core platforms, tools, and services that help our engineering teams build and operate software more effectively.

This role will report to the VP of Engineering and lead a team of 6-8 engineers responsible for platform engineering, infrastructure, developer experience, data platform, and the agent platform that enables AI agents to be deployed in the product.

The mission of the team is to empower product development teams by providing scalable platforms, tools, education, and guidance that streamline the software development lifecycle: from coding to deployment and operations, and drive practical adoption of agentic development across engineering.

The right leader will be deeply technical, hands-on, execution-oriented, and passionate about improving engineering productivity. They should be able to set direction, develop talent, partner effectively across teams, and drive measurable improvements in how engineers build and operate software.

What You'll Do
  • Lead, coach, and develop a high-performing platform engineering team.
  • Define and execute the platform engineering roadmap across core platform services, infrastructure, developer experience, data platform, agent platform, and agentic development adoption.
  • Build the agent platform capabilities that enable product teams to create, test, deploy, monitor, and operate AI agents in the product.
  • Lead adoption of agentic development practices across engineering, including tools, training, standards, and guardrails.
  • Own cloud infrastructure, Kubernetes, CI/CD, environments, infrastructure as code, release tooling, monitoring, alerting, and internal automation.
  • Improve the developer experience by making it easier for engineers to build, test, deploy, debug, and operate software.
  • Own the data platform foundations, including data infrastructure, ingestion, orchestration, data quality, access controls, cataloging, and governance.
  • Improve reliability, scalability, security, and cost efficiency across infrastructure, platform services, and data systems.

Knowledge, Skills, and Abilities
  • Experience leading platform engineering teams that own shared platform capabilities, infrastructure, developer productivity, and internal tooling.
  • Experience driving adoption of agentic development practices across engineering teams, with demonstrated improvements in developer productivity, delivery speed, and software quality.
  • Experience building AI platform capabilities that enable teams to deploy AI agents in the product, including agent orchestration frameworks, tool integration, memory and context management, evaluations, observability, access controls, auditability, cost controls, and security guardrails.
  • Strong technical depth across AWS, Kubernetes, CI/CD, service architecture, observability, infrastructure as code, and modern software delivery.
  • Strong execution skills, including planning, prioritization, stakeholder management, and follow-through.
  • Ability to influence teams through clear communication, strong technical judgment, and practical enablement.
  • Experience hiring, coaching, and developing senior engineers and technical leads.
Minimum Qualifications
  • Minimum of 5+ years of experience directly managing engineers as their formal people manager
  • Built or led platform capabilities for deploying AI agents, such as agent orchestration frameworks, tool integration, context management, evaluations, and guardrails?

Salary Hiring Range: $210,000 - $230,000

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide (e.g. in some cases that may include bonus, stock options, 401k match).

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors.

The range above is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

The salary range above is for the NY/CA. As a company, we have a location based strategy, which means the salary range could be lower or higher than this if the role is hired in another location.

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