About the Role
- The Sales Automation Engineering team builds the platforms and services that power Uber’s global Sales organization. Our mission is to automate manual workflows, eliminate friction in the lead-to-cash process, and accelerate seller productivity through reliable, scalable engineering.
- As a Tech Lead Manager (TLM) on the team, you will lead backend engineers responsible for extending Salesforce and integrating it with Uber’s Go-To-Market (GTM) ecosystem. You’ll drive the technical roadmap for high-impact sales systems—ranging from lead management and opportunity workflows to pipeline automation and sales insights—and ensure your team scales these systems in line with Uber’s growth.
- This role blends technical leadership (50%) with people management (50%) , and is ideal for someone excited about driving tangible business impact through engineering.
Technical Leadership (50%)- Architect and deliver backend systems and services that extend and integrate with Salesforce and sales tooling (e.g., LeanData, Outreach, Clari, Gong).
- Lead development of scalable APIs, orchestration services, and automation platforms for Sales workflows such as routing, deduplication, assignment, and pipeline health tracking.
- Ensure system reliability, performance, and observability across Sales critical paths.
- Drive cross-team technical initiatives, migrations (e.g., Salesforce org consolidation), and foundational improvements (e.g., eventing, data contracts).
People Management (50%)- Manage and grow a team of software engineers building core automation platforms for Sales.
- Partner with Sales Ops, Rev Ops, Product & Backend Engineering teams to define technical strategy aligned with GTM priorities.
- Mentor engineers on system design, software craftsmanship, and delivery excellence.
- Promote an engineering culture of accountability, autonomy, and continuous improvement.
- - - - Basic Qualifications ----
- 10+ years of backend software engineering experience, with 2+ years in a hybrid tech lead / people manager role.
- Strong programming skills in languages such as Java, Go, or Python.
- Experience building and scaling backend systems integrated with Salesforce or similar enterprise platforms.
- Understanding of core CRM and sales workflows (e.g., lead-to-account matching, opportunity pipeline, quota workflows).
- Proven ability to design systems that are secure, observable, and maintainable at scale.
- - - - Preferred Qualifications ----
- Experience with Salesforce development (Apex, SOQL, LWC).
- Familiarity with GTM tooling: LeanData, Clari, Gong, Salesforce CPQ, etc.
- Knowledge of SalesOps concepts like routing logic, SLAs, segmentation, or revenue planning.
- Exposure to streaming/batch data infrastructure (Kafka, Airflow, Spark) used for insights or alerting.
- Track record of mentoring engineers and managing technical delivery across multiple quarters.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.