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Sr Manager, Software Engineering

Job in New York, New York County, New York, 10261, USA
Listing for: Paramount Group
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Architect, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 150000 - 185000 USD Yearly USD 150000.00 185000.00 YEAR
Job Description & How to Apply Below
Location: New York

#We Are Paramount  on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got thepowerto achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview

Reporting to team leadership, this role manages a project-based team of 3-5 resources building cloud-native media platforms, workflow automation, integrations, and AI-driven production services.

The Senior Manager translates management's technical direction into executable engineering plans and owns day-to-day delivery, implementation quality, and production readiness. The role stays hands-on in solution design, code review, and high-risk work, and serves as a senior day-to-day technical lead, maintaining continuity of execution and technical direction.

Basic Qualifications
  • 8+ years hands-on software engineering experience building enterprise applications, APIs, or distributed systems.
  • 4+ years managing project-based engineering teams.
  • Strong development experience in Python or a comparable modern language.
  • Experience building and operating cloud-native applications on AWS and/or GCP.
  • Working knowledge of CI/CD, infrastructure as code, automated testing, security, and observability.
  • Experience managing multiple concurrent engineering work streams in a production environment.
  • Demonstrated ability to select, lead, and maintain continuity across contract engineering teams.
  • Strong communication skills, able to translate technical risk and trade-offs for nontechnical stakeholders, with sound judgment under strain and the ability to influence across teams and vendors without direct authority.
Core Responsibilities Engineering & People Leadership
  • Select, onboard, direct, and evaluate consultant resources; manage vendor performance, project capacity, deliverables, and structured knowledge transfer as assignments change.
  • Build team depth so delivery and technical knowledge don't sit with one individual.
  • Stay hands-on in solution design, code review, troubleshooting, and high-risk work.
  • Translate architecture direction into technical plans, milestones, staffing, and releases.
  • Own backlog management, estimation, dependencies, scope, delivery risk, and release readiness.
  • Balance strategic projects, platform improvements, technical debt, and production needs.
  • Communicate status, risks, and trade-offs to leadership and stakeholders.
  • Partner with stakeholders to clarify requirements, define technical scope and acceptance criteria, and identify delivery risks before work begins.
Technical Leadership
  • Provide day-to-day technical direction within architecture standards set by leadership.
  • Set expectations for code quality, testing, APIs, documentation, security, and deployment automation.
  • Promote reusable services and integrations over one-off solutions.
  • Escalate significant architecture, platform, and vendor decisions to leadership.
  • Maintain enough architectural depth and institutional knowledge to represent the team's technical direction independently when leadership is unavailable.
  • Lead delivery of cloud-native services, media workflow integrations, metadata platforms, archive modernization, and content migration initiatives.
  • Oversee delivery of AI-enabled capabilities for metadata enrichment, content discovery, and workflow automation, including model integration, retrieval systems, data quality, and evaluation, in partnership with architects and AI engineers.
  • Set standards for responsible use of AI-assisted development…
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