Lead QA Engineer
Spot AI (View all Jobs)
San Francisco, California, United States
Interview Process
1. Hiring Manager Sync (30 mins), discussing candidate's background 2. Executive Interview (30 mins, Engineering Managers only) - Talk with the CEO to learn about company vision. 3. Tech Screen (60-75 minutes, no coding) - Project exploration : Diving into a recent project the candidate has worked on, talking about different tech decisions and trade-offs made. Also discuss lessons learned and more. System Design: Using a feature we've already built, we'll ask you how you might go about building it. How would you design it? What trade-offs are important to you? Managers: Discuss a project you recently led a team through and we'll spend time in system design talking about how the work might be parallelized, broken down, etc 4. Product Interview (30-45 min) - Convo focused on how the candidate views the engineering/PM relationship and how they bring customer focus to their work 5. Hiring Manager Interview (45 min) : For Engineering managers - questions covering candidate's management philosophy and approach. For Individual Contributors: Questions covering how you work with your colleagues. How you resolve conflicts, actions you take to foster a safe and inclusive environment. 6. Optional interview for individual contributors (read Step 2)
Programming Languages Mentioned
ETL
The Company
Spot AI was formed by engineers from Stanford, Cisco Meraki, and Samsara, with the mission of visually indexing the physical world and making that data useful to everyone at work.
With an easy-to-use AI camera system, Spot AI unlocks the power of video data, transforming that into Video Intelligence that helps companies improve their security, safety, efficiency, and more.
In the world of Video Surveillance, security pros would access systems once in a few months to catch the bad guy. In the new world of Video Intelligence, everyone at work - including operations pros, environmental health and safety, security, and the frontline workforce - will all use video intelligence to make better decisions every day.
Spot AI has been quietly building its technology and customer base since founding in 2018, and already has hundreds of customers and thousands of users. Notably, its customers reach well beyond tech early adopters, including transportation company Cheeseman, Mixt, and Northland Cold Storage.
In 2021, Spot AI scaled bookings 10x and is continuing to grow aggressively. Backed by Redpoint, Bessemer, and Village Global, Spot AI is well-positioned to disrupt the $30b video surveillance market and lead the $100b Video Intelligence movement.
Who You Are:
We are looking for a Lead QA Engineer who will spearhead our manual and automated QA efforts at Spot AI. As our first QA engineer, you will play a pivotal role in building a positive customer experience by ensuring new and improved features are working seamlessly across the platform. You will use your demonstrated expertise to work cross-functionally with the product and engineering teams to write and execute tests on physical and cloud infrastructure. You care deeply about software quality, operability, and getting the customer experience right the first time.
We are looking for an engineer who will start with manual testing and transition into automation development. You know how to build a QA program from the ground up, and you understand how to use your past experience to turn ambiguity into an actionable plan. You will own the requirement analysis process, build and review the test strategy and design, and lead the test execution for projects across the engineering organization.
What Excites You:
- Working with and mutually learning from an extremely high caliber engineering team
- Building and maintaining a test suite, always looking for opportunities to optimize your processes
- Operating with autonomy and navigating ambiguity in a fast paced environment
- Working cross-functionally across the entire company to deliver a testing plan that achieves the company’s current and future goals
What Gets Our Attention:
- 4+ years of experience in the software development lifecycle
- Deep understanding of quality assurance testing methodology (e.g. performance, unit, integration, automated), their strengths and weaknesses, and the ability to use them effectively
- Comfortable with manual testing, particularly for firmware releases or testing embedded software
- Can function as a company wide expert on writing, executing and leading QA efforts
- Experience transitioning manual testing into automated tests
- Experience with CI/CD pipelines such as Github Actions, Azure DevOps Pipelines, or Jenkins
- Strong written and verbal communication skills, attention to detail, highly organized
Bonus Skills
- Experience with ML systems, Cypress.io, APM tools
- Understanding of Linux automation fundamentals, such as Ansible, Chef, or Jenkins
- Experience with video pipelines
- Edge compute experience
Our Values
Create Value: (1) Work backwards from the customer’s goals (2) Keep it simple (3) Be curious
Make Decisions: (1) Bias towards action (2) Focus on getting it right, not on being right (3) Bet on the long term
Work with Others: (1) Own your outcomes (2) Help your team (3) Communicate openly and deliberately
What We Offer:
- Long-term career growth and achievement opportunity
- Competitive salary with generous early stage equity
- Medical, dental and vision coverage
- 401K with employer match
- 14 weeks of paid parental leave
- Learning and development opportunities
- Remote flexibility
- Work from home stipend to set-up home office
- Unlimited PTO
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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