Engineering Manager (US - Bay Area)

GuruLink; San Mateo (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GuruLink is seeking a Senior Engineering Manager to lead the Lifecycle Management team, the platform's most visible product. You will own engineering execution, manage a distributed team across time zones, and guide customer-impacting technical decisions.

The role emphasizes hands-on leadership in sprint planning, triage, and AI-assisted development while mentoring engineers and fostering a culture of urgency and accountability.

Qualifications

• 7+ years of software engineering with 3+ years managing engineering teams in a SaaS environment.
• Strong Scrum leadership with distributed teams and two-week sprints.
• Salesforce platform familiarity for code review and architecture decisions.
• Full-stack fluency: Java (backend), JavaScript/TypeScript/React (frontend), and SQL.
• Customer-facing composure and experience with customer success teams.
• Bias for action; proactive problem-solving and ownership.
• Active AI adoption using AI-assisted tools in daily workflow.

Responsibilities

• Lead the Lifecycle Management Scrum Team across multiple time zones (San Mateo, Toronto, Calgary, Winnipeg, Auckland).
• Own sprint planning, execution, and bi-monthly releases while ensuring high-quality delivery.
• Be the engineering POC for customer escalations and coordinate with Customer Success and Solutions Architecture.
• Drive root cause analysis and durable fixes for production issues with AI tooling.
• Hire, onboard, and mentor engineers; conduct regular 1:1s and career development.

Skills

Scrum leadership

Salesforce platform experience

Full-stack: Java/JS/SQL

Customer-facing

AI adoption

Team leadership

Distributed teams

Tools

Salesforce Apex

Lightning Web Components (LWC)

PostgreSQL

AWS

Job description

Location: San Mateo, California

The client is an AI-powered revenue architecture platform. It enables companies to simplify complex pricing, automate monetization, and gain full control over how they generate and scale revenue.

This role is a hybrid with 4 days per week in our San Mateo office.

We're looking for a Senior Engineering Manager to lead the Lifecycle Management (LCM) team — the most visible and widely adopted product in the platform. It is where quotes are built, subscriptions are managed, change orders are processed, and renewals are executed. You'll own the engineering execution for this product, manage a distributed team, and be the front line for customer-impacting technical decisions.

This is not a sit in meetings management role. We need a hands‑on engineering leader who can run a tight scrum, triage production issues with AI-assisted tooling, and make sound technical judgment calls under pressure. You won't be writing code all the time, but you'll be expected to read it, troubleshoot it, and know where the problems are.

What You'll Do:

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).
• 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.

Own Customer Success for Lifecycle Management:

• 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.

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

Grow and Develop the Team:

• 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.

Must Have Skills:

• 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.
• 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 need to be conversant enough to review code, triage platform issues, and make architectural calls.
• 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.

Preferred:

• 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

The team currently has 7 members spread across San Mateo, Toronto, Calgary, Winnipeg, and Auckland. They ship on two‑week sprints with twice‑monthly releases.

Why You'll Love This:

• Maximum impact — Lifecycle Management is our 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 — 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.
• Competitive compensation — salary, equity, and benefits. Equity at our current stage represents meaningful upside.