1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Arionkoder
·18 days agoArionkoder
·18 days agoLocation
remote (anywhere)
Commitment
Full Time
Level
Senior (5+ years)
Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact — guided by a human-centric approach and a commitment to pushing the boundaries of what technology can do.
We are looking for a Senior Quality Engineer to own quality end-to-end across one of our core product teams and continuously raise the quality bar of the products you support. This is a hybrid role: you are equally comfortable designing manual and exploratory test scenarios as you are writing and maintaining automated suites in CI. You think about quality from the moment a requirement is drafted—not after the code is merged.
You will work shoulder-to-shoulder with engineers, product managers, designers, and DevOps to shape what "done" means: defining acceptance criteria, designing test coverage that reflects real product risk, and acting as the final checkpoint before anything reaches production. You bring an AI-first mindset to the craft—using AI tools to accelerate test design, automation, triage, and reporting, with the judgment to know when to trust the output and when not to.
This is not a role for someone who waits for tickets to be marked "ready for QA." We need a quality engineer who challenges unclear requirements, asks the uncomfortable questions early, and treats production confidence as a deliverable — measured in fewer surprises in production, faster releases, and a stronger quality culture across the teams you work with.
Own end-to-end quality for the products and features in your scope. Define test strategies based on product risk, release goals, and business impact — not generic checklists. Influence quality upstream by reviewing requirements and designs to surface ambiguity, edge cases, and testability issues early. Identify non-functional risks (performance, security, accessibility, data integrity) and ensure they're addressed or escalated.
Run structured exploratory sessions guided by risk and user personas. Cover what automation can't yet: complex flows, visual checks, new feature shakedowns, third-party integrations. Document findings clearly: reproducible steps, environment, expected vs. actual, severity, impact. Act as a user advocate during pre-release validation.
Design test cases covering happy paths, edge cases, negative scenarios, role/state transitions, integrations, and relevant non-functional risks. Maintain traceability to requirements, acceptance criteria, and product risks. Build and maintain smoke tests, regression suites, and release checklists as living assets.
Design, implement, and maintain automated suites across UI, API, and integration layers. Decide what to automate based on stability, ROI, and risk — and what not to. Keep flakiness under control; contribute to the framework itself (utilities, fixtures, test data, reporting).
Triage, prioritize, and track defects to resolution with clean hygiene (title, severity, repro, environment, and links). Produce concise, release-quality reports: what was tested, what wasn't, known risks, and recommendations. Surface trends and turn them into actionable improvements.
Own release validation: smoke, regression, environment checks, sign-off criteria. Define and enforce quality gates for staging, UAT, and production. Coordinate with DevOps on hotfixes, rollback, and post-release monitoring. Make confident go/no-go calls backed by evidence.
In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm — helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. Dreamers first, builders always.