Senior Engineering Manager

Location: USA (San Francisco Bay Area, CA)

Department: Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

What You'll Do:

Responsibilities:

• Own sprint planning, execution, and delivery for a team of 7-8 engineers across multiple time zones (San Mateo, Toronto, Calgary, Winnipeg, Auckland).
• Run two-week sprints with releases twice per month. Ensure predictable, high-quality delivery.
• Remove blockers, manage dependencies across teams (Billing, DevEx, Data & Integrations), and drive engineering decisions within the team.

• Be the engineering point of contact for customer escalations on the most customer-facing product in the platform.
• Triage and prioritize incoming customer urgent requests, balancing them against roadmap commitments.
• Join customer calls with Customer Success and Solutions Architecture when deep technical context is needed.
• Drive root cause analysis on customer-reported issues and ensure durable fixes over workarounds.

• 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.
• Ensure the team writes testable, observable code and follows engineering best practices (design review, CI/CD, code review).

• Hire, onboard, and mentor engineers. Actively participate in recruiting — interview candidates, provide calibrated feedback, and raise the bar.
• 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.

What You'll Bring:

• 7+ years of software engineering experience, with at least 3 years managing engineering teams in a product-focused SaaS environment.
• Strong Scrum leadership — you've run high-performing agile teams and know how to deliver predictably in two-week sprints with distributed teams.
• Full-stack technical fluency — ability to read and reason about code across Java (backend), JavaScript/TypeScript/React (frontend), and SQL (Postgres). You should be able to troubleshoot a production issue end-to-end.
• Customer-facing composure — experience working directly with customers or customer success teams on technical escalations. You're comfortable on a call explaining a root cause and committing to a fix timeline.
• Bias for action — you default to doing, not delegating. When something is broken, you dig in. When a process isn't working, you fix it. You don't wait to be told.
• 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. You can describe specifically how, not just that you do.

Bonus Points (optional):

• 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.
• Experience managing teams that build Salesforce managed packages (2GP/ISV).
• Familiarity with event-driven architectures, API orchestration, and CRM/billing system integrations.
• Experience with enterprise customers — you understand the complexity of multi-org Salesforce environments, custom automation, and the care required when your product runs inside someone else's platform.
• Track record of building or scaling engineering teams from 5-10 to 15+ engineers.

Tech Stack:

• Salesforce Platform: Apex, Lightning Web Components (LWC), SOQL, Flows, managed packages
• Backend: Java (Spring Boot), Node.js, REST APIs, GraphQL
• Frontend: React 16, TypeScript, Material-UI, Webpack
• Database: PostgreSQL (AWS RDS), Salesforce SOQL/SOSL
• Infrastructure: AWS (Lambda, SQS, S3), Docker, GitLab CI/CD
• AI Tooling: Claude Code, Windsurf, Copilot (used daily across engineering)
• Collaboration: Jira, Slack, Gem, Fellow, Confluence

What the Team Looks Like Today:

• Quoting: Configure-price-quote workflows with complex product bundles, pricing rules, discounts, and approvals
• Change Orders: Mid-term subscription modifications (upgrades, downgrades, renewals, cancellations, co-terms)
• Order Management: Quote-to-order conversion, order activation, and billing handoff
• Subscription Lifecycle: Renewal flows, entitlement management, subscription events

Why You'll Love This Role:

• Maximum impact — Lifecycle Management is Nue's flagship product. 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. You'll own outcomes end-to-end for a product that matters.
• AI-forward engineering culture — Nue mandates AI tool adoption across engineering. You'll work with a team that uses Claude Code daily, and you'll help define how AI changes the way we build and test software.
• Growth trajectory — the engineering org is scaling from ~45 to ~80 this year. You'll have the opportunity to grow your team and your scope as the company scales.