Senior Engineering Manager - AI & Full-Stack Lead

Salesforce; Washington; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Wellbeing reimbursement

Generous parental leave

Adoption assistance

Fertility benefits

Job summary

Salesforce is seeking an experienced Engineering Manager to lead one or more product teams and scale backend systems powering our AI-enabled platform. You will guide full-stack architecture and collaborate with senior leaders to align AI initiatives with business growth.

You will shape product strategy, mentor engineers, and ensure delivery excellence in a high-growth environment. This role is based in Washington and offers a high-impact leadership track in a cutting-edge AI-driven space.

Qualifications

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

Responsibilities

• Lead and Grow the Teams: Manage and mentor one or more teams.
• Own the Product Roadmap & Execution: Define priorities with Product, Design, and GTM and drive delivery with operational rigor.
• Drive Full Stack Architecture & Engineering Excellence: Guide frontend, backend, and data integrations, ensuring security and scalability.
• Champion Product-First Thinking: Maintain product focus to ensure stability, reliability, and continuous improvement.
• Collaborate Cross-Functionally: Partner with leadership to integrate technology into strategic decisions.

Skills

AI/ML experience

Full-stack development

Ruby on Rails

Java

Python

Go

SQL

PostgreSQL

Technical leadership

Cross-functional collaboration

Tools

Ruby on Rails

Java

Python

Go

SQL

PostgreSQL

Job description

Salesforce is seeking an experienced Engineering Manager to lead one or more product teams and scale backend systems powering our AI-enabled platform. You will guide full-stack architecture and collaborate with senior leaders to align AI initiatives with business growth.

You will shape product strategy, mentor engineers, and ensure delivery excellence in a high-growth environment. This role is based in Washington and offers a high-impact leadership track in a cutting-edge AI-driven space.