资深质量工程师

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

StackAdapt is seeking a talented Staff Quality Engineer to join the Automation and Intelligence Pillar pod, the group building StackAdapt's AI and agentic products. As the most senior quality engineer on the team, you will set the technical direction for how we test, evaluate, and ship intelligent systems, working across LLM-powered features, agentic workflows, and the data and tooling that support them. This is a hands-on, individual-contributor leadership role: you will lead the effort to design quality strategy for non-deterministic AI systems, build the frameworks and harnesses that make those systems testable, and raise the quality bar across a fast-moving, cross-functional agile environment. Your work will directly affect the success of product releases, accelerate our defect detection and prevention capabilities, and help define what quality means for AI at StackAdapt.

StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the United States for this position.

Own and drive the end-to-end quality strategy for the Automation and Intelligence Pillar pod's AI such as our Ivy product, from test architecture through release readiness

Design and build evaluation frameworks for non-deterministic systems, including LLM output quality, agent behaviour, regression detection, and guardrail/safety testing

Develop reliable, scalable automated test suites and tooling that address functional, system, API, integration, UI, and regression testing, and integrate them into our CI/CD pipeline

Establish quality metrics and benchmarks (accuracy, latency, cost, hallucination/failure rates) that give the team confidence to ship and inform data-driven decisions

Partner closely with Engineering Managers, Product Managers, Designers, ML/Data Science, and other engineering teams to align requirements, priorities, and definitions of done

Act as a technical mentor and force multiplier across the QE org, promoting QE best practices, driving process improvements, and levelling up testing for AI systems company-wide

Participate in technical planning, code review, and architectural decision-making, advocating for testability and reliability from the design stage

Provide timely, actionable test result feedback to the Automation and Intelligence Pillar pod, the QA team, and other relevant stakeholders

7+ years of professional, hands-on software quality and test automation experience, with a track record of setting technical direction on complex systems

Deep, hands-on experience with API & UI test automation frameworks such as Playwright, Cypress, Jest, or Junit

Fluency in at least one of TypeScript, JavaScript, Python, or Java with preference for TypeScript

Experience testing AI/agentic systems (evals, prompt/regression testing, output validation) and using AI to scale automation (test generation, self-healing tests, failure triage) with technologies such as OpenAI, Anthropic

Strong understanding of scalable system design for web-based APIs and backend processing systems

Proven ability to define test case design standards and coverage strategy such as edge/negative, compatibility, performance and concurrency scenarios and to own a test case management practice (e.g. TestRail) that others build on

Ability to explore a codebase and use technical tools to gain an understanding of technical implementation

Experience coaching and influencing cross-functional teams on tooling, testing plans and strategies, and guiding them through execution

The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.

Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto

Access to StackAdapt programmatic courses and certifications to support continuous learning

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards

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