Jobs · Engineering

Senior Software Engineering Manager (LMTS)

Qualified (Acquired by Salesforce) · San Francisco, CA · 8 mo ago
RemoteRemoteEngineering$173k–$260k/yrFull-time

Overview

We are looking for an experienced Engineering Manager to lead one or more of our various Product teams. This is a high-impact leadership role focused on developing and scaling the core backend systems that power our platform, with a strategic focus on integrating AI technologies.

What You'll Do

  • Lead and Grow the Teams: Manage and mentor one or more teams. Hire and develop talent to support company growth and evolving product needs.

  • Own the Product Roadmap & Execution: Partner with Product, Design, and GTM to define priorities, translate customer needs into clear plans, and drive delivery with strong operational rigor (planning, quality, and predictable execution).

  • Drive Fullstack Architecture & Engineering Excellence: Guide end-to-end technical decisions across frontend, backend, and data integrations. Ensure the system is secure, scalable, observable, and easy for engineers to build on as the product grows.

  • Champion Product-First Thinking: Instill a product-focused mindset across the teams to tackle technical challenges related to quality and performance. You'll ensure the core functionality of our product is stable, reliable, and continuously improving.

  • Collaborate Cross-Functionally: Partner with leadership and product teams to align on priorities, ensuring technology is integrated into strategic decision-making and delivering results that move the business forward.

What We're Looking For

  • Experience managing engineering teams in high-growth environments with a focus on leveraging AI/ML technologies.

  • Strong background in fullstack development with proven proficiency in programming languages such as Ruby on Rails, Java, Python, or Go.

  • Hands-on experience in AI-driven application development, including experiment setup, dataset curation, model training, and deployment.

  • Experience working with SQL and RDBMS (PostgreSQL preferred).

  • A "driver" mindset: proactive, outcomes-oriented, and unafraid to roll up your sleeves when needed.

  • Strong communication and collaboration skills, especially in cross-functional leadership settings.

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