Description
About the Team
The Data 360 (Data Cloud) Q3 team builds the strategic quality infrastructure and end-to-end business validation platform for Salesforce’s most critical customer data products. We empower feature teams to shift left by providing a composable, developer-friendly framework to simulate real customer data flows — from ingestion and identity resolution to segmentation, activation, analytics, governance, and AI.
We also represent real customer journeys across industries through reusable E2E building blocks, ensuring every Data Cloud feature is validated the way actual customers use it.
What You’ll Do
Lead & Architect the Unified Test Framework (Key Responsibility)
Drive the architecture, design, and evolution of the next-generation Unified Q3 Test Framework, the core platform used across all Data Cloud teams to model, validate, and automate cross-cloud business flows.
Define framework standards (APIs, patterns, DSLs, reusable modules) to ensure consistency, reliability, and ease of authoring for hundreds of engineers.
Establish a long-term vision for a scalable, self-service, reusable, and composable automation platform used across orgs, industries, and customer scenarios.
Design & Build
Build extensible, reusable building blocks that model real business behaviors across ingestion, identity resolution, segmentation, activation, analytics, governance, and personalization.
Deliver framework primitives and abstractions that drastically reduce test authoring time and improve reliability.
Enable Shift-Left Quality
Partner with Q2 feature teams to onboard them to the framework, guide design patterns, and enable early environment setup and modular test case development.
Own E2E Business Scenarios
Work closely with Product, Field, and Solution Engineers to convert real customer use cases into automated validations running continuously in CI/CD and production-like tenants.
Framework Engineering
Contribute to and lead development in the Q3 SDK, CLIs, codegen, workspace tooling, data generators, catalog systems, and execution pipelines for local, workspace, and FIT tenants.
AI-Augmented Debugging & CI Insights
Use internal AI systems to automatically identify flaky tests, map failures to owning teams, and surface insights to improve reliability and signal-to-noise.
Field & Customer Partnership
Participate in customer calls to understand complex, industry-specific scenarios and ensure the Q3 platform reflects these business patterns accurately.
Experience and Skill Requirements
10+ years of software engineering experience, ideally in distributed systems, internal developer platforms, or test automation frameworks.
Strong systems design skills with deep understanding of shift-left testing, CI pipelines, code quality gates, and composable architectures.
Hands-on experience with cloud infrastructure (AWS/S3, credential management, multi-tenant architectures).
Excellent cross-functional collaborator — able to translate between business flows and technical implementations.
Strong documentation and communication skills.
A related technical degree required.
Bonus: Experience with Salesforce Data Cloud, marketing activation, identity resolution, or data engineering.
Why Join Us?
You’ll be a key technical leader driving the architecture of the unified framework powering Data Cloud’s quality strategy across the company. Your work will directly shape how every feature team tests, validates, and delivers customer-facing functionality.
This role offers deep technical ownership, end-to-end autonomy, and broad visibility — spanning engineering, product, customer field teams, and real customer scenarios.
You won’t just improve quality — you will define how Data Cloud is validated for every customer, every industry at Salesforce.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.