About Us:
At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!
The Role:
We are seeking an exceptional and hands-on Director of Engineering to lead the development of our next-generation AI-powered products. This strategic role will be pivotal in building and scaling solutions that leverage AI to provide deep insights into test runs and production issues, and to enable AI-assisted test case generation. You will lead engineering teams, drive technical excellence, and collaborate closely with product management and AI architects to bring these transformative products to market.
Responsibilities:
- Lead AI Product Development: Lead, mentor, and grow multiple engineering teams responsible for the end-to-end development and delivery of new AI-driven products.
- Drive Technical Strategy & Execution: Define and execute the technical strategy for AI-powered initiatives, including:
- AI-Based Insights: Architect and oversee the development of systems that provide intelligent insights from vast volumes of test run logs and analytics, as well as production error reporting data, offering a unified view of application quality.
- Automated Failure Analysis: Lead the creation of AI solutions to automatically identify, diagnose root causes, and suggest fixes for failures detected in test runs.
- AI-Assisted Test Case Generation: Drive the development of tools and platforms that leverage AI to help customers more effectively write and optimize test cases.
- Hands-On Technical Leadership: Provide strong technical leadership, engaging in architectural discussions, making critical design decisions, and guiding complex implementations. While not expected to write production code daily, you should be able to dive into technical details and contribute when necessary.
- Cloud & AI Platform Management: Oversee the utilization of Google Cloud Platform (GCP) services, specifically managing the deployment and integration of our self-hosted Gemini Flash models.
- Data Strategy & Pipelines: Collaborate with data engineering teams to establish robust data pipelines for ingesting, processing, and transforming large-scale test and production data from Snowflake (and potentially Google BigQuery) for AI model training and inference.
- Cross-Functional Collaboration: Work closely with Product Management, AI Architects, UX/UI, and other engineering leaders to translate product vision into detailed technical requirements and deliver high-quality, impactful solutions.
- Operational Excellence: Ensure the reliability, scalability, security, and performance of all AI products in production, establishing best practices for MLOps and continuous delivery.
- Team Building & Mentorship: Recruit, retain, and develop top engineering talent, fostering a culture of innovation, collaboration, and continuous learning within your teams.
Required Skills:
- Proven Leadership: 5 years of experience in engineering leadership roles (e.g., Senior Engineering Manager, Director of Engineering), with a strong track record of leading and delivering complex software products.
- AI/ML Product Experience: Demonstrated experience building and shipping AI/ML-driven products, ideally in a data-intensive domain.
- Technical Depth: Strong understanding of software engineering principles, scalable system design, cloud architectures (GCP preferred), and big data technologies.
- Generative AI Familiarity: Experience with Large Language Models (LLMs) and their application in product features (e.g., text generation, summarization, code assistance).
- Data Ecosystem Knowledge: Experience with data warehousing solutions like Snowflake and/or Google BigQuery.
- Hands-On Capability: While a leadership role, a genuine interest and ability to engage in technical discussions, review code/architecture, and provide direct technical guidance.
- Agile/Kanban Experience: Familiarity with Agile and Kanban methodologies for software development.
- Communication & Influence: Excellent communication, interpersonal, and stakeholder management skills, with the ability to articulate complex technical concepts to diverse audiences.
- Problem-Solving: Exceptional analytical and problem-solving abilities, with a proactive and results-oriented approach.
- Domain Knowledge (Plus): Experience in software testing, quality assurance, DevOps, or application performance monitoring is a significant advantage.
Nice to Haves:
- Experience with MLOps frameworks and practices.
- Contributions to open-source projects or a strong technical community presence.
- Advanced degree in Computer Science, AI, Machine Learning, or a related technical field.
We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You'll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a 'security first' approach to how we design, build & run our products and services.
