Nue

Nue

Senior Engineering Manager

USA · Senior

Sponsorship not specified$10k-$15kDetected 120 days ago
JavaScriptTypeScriptJavaReactwebpackNode.jsSpringFull-Stack DevelopmentCode ReviewGitSQLPostgreSQLAWSDockerCI/CDGraphQLRESTAgileJiraConfluenceSalesforceCRMCustomer SuccessLeadership

About the role

  • Every Nue customer uses Lifecycle Manager.
  • It is where quotes are built, subscriptions are managed, change orders are processed, and renewals are executed.
  • This is not a "sit in meetings" management role.

Responsibilities

  • Lead the lifecycle management scrum team Own sprint planning, execution, and delivery for a team of 7-8 engineers across multiple time zones (San Mateo, Toronto, Calgary, Winnipeg, Auckland).
  • Remove blockers, manage dependencies across teams (Billing, DevEx, Data & Integrations), and drive engineering decisions within the team.
  • Own customer success for lifecycle management Be the engineering point of contact for customer escalations on the most customer-facing product in the platform.
  • Drive root cause analysis on customer-reported issues and ensure durable fixes over workarounds.
  • Ensure the team writes testable, observable code and follows engineering best practices (design review, CI/CD, code review).
  • Conduct regular 1:1s, provide actionable feedback, and support career development for each team member.
  • Build a culture of urgency, ownership, customer empathy, and continuous improvement.
  • Strong Scrum leadership - you've run high-performing agile teams and know how to deliver predictably in two-week sprints with distributed teams.

Requirements

  • 7+ years of software engineering experience, with at least 3 years managing engineering teams in a product-focused SaaS environment.
  • Full-stack technical fluency. ability to read and reason about code across Java (backend), JavaScript/TypeScript/React (frontend), and SQL (Postgres).
  • You can describe specifically how, not just that you do.

Nice to have

  • Salesforce platform experience - familiarity with Apex, Lightning Web Components (LWC), managed packages, or Salesforce ecosystem development.
  • You don't need to be an expert, but you should be conversant enough to review code, triage platform issues, and make architectural calls.
  • Experience with quote-to-cash, CPQ, subscription lifecycle management, or revenue operations software.
  • Familiarity with event-driven architectures, API orchestration, and CRM/billing system integrations.

Skills

  • They ship on two-week sprints with twice-monthly releases.
  • Every customer uses it.
  • Your work is directly visible in revenue and customer satisfaction.
  • Real ownership - this isn't a large company where managers attend meetings about meetings.
  • AI-forward engineering culture - Nue mandates AI tool adoption across engineering.
  • Growth trajectory - the engineering org is scaling from ~45 to ~80 this year.
  • PostgreSQL (AWS

Compensation

  • $10k-$15k

Benefits

  • Drive technical quality and AI adoption Use AI tools (Claude Code, Windsurf, Copilot) daily for troubleshooting, identifying gaps in test coverage, and reviewing code quality - and hold the team to the same standard.
  • Partner with QA to increase automated test coverage for LCM's critical user journeys.
  • Bonus Points (optional): Salesforce platform experience - familiarity with Apex, Lightning Web Components (LWC), managed packages, or Salesforce ecosystem development.

Company info

  • The Lifecycle Management team builds a Salesforce managed package that powers Nue's CPQ and subscription lifecycle capabilities.
  • Grow and develop the team Hire, onboard, and mentor engineers.
  • Customer-facing composure - experience working directly with customers or customer success teams on technical escalations.
  • Active AI adoption - you use AI-assisted development tools (Claude Code, Copilot, Cursor, Windsurf, or similar) as part of your daily workflow for troubleshooting, code review, test generation, or analysis.

This listing is sourced directly from Nue's careers page and normalized into a canonical job model.