Staff QE

Canalyst; United States; À distance; USD 148 000 - 204 000; Plein temps

Résumé du poste

AlphaSense in the United States seeks a Staff Quality Engineer to own quality across Expert Research. You’ll set testing strategy, close gaps in critical workflows, and help teams ship faster with confidence without a dedicated QE team.

You’ll partner with developers on test planning, define release gates, test AI-powered features, and coach engineers on shift-left practices across multiple teams to raise overall quality and reliability of the platform.

Qualifications

• Hands-on E2E automation experience with Cypress or Playwright and willingness to pick up the other.
• Strong programming skills in at least one language (Ruby, TypeScript/JavaScript, Python, Kotlin, or Java).
• Excellent test design skills, including API testing and testing theory.
• Experience with unit and component testing frameworks (RSpec or Vitest).
• Track record of using AI tools to speed up software delivery and testing.
• Understanding of continuous delivery and release gating.
• Experience with CI/CD pipeline setup and test management/observability tools.
• Ability to set direction independently without a QE team or manager.

Responsabilités

• Define long-term testing strategy for Expert Research based on Quality by Design and Automation by Default.
• Close test coverage gaps in mission-critical workflows like call scheduling, expert sourcing, compliance, transcripts, and client/expert portals.
• Build and grow scalable end-to-end automation across unit, API, and E2E layers.
• Collaborate with developers on test planning for new features to ensure automation is ready with code.
• Set and monitor quality metrics and release gates for teams to act on.
• Test AI-powered features (AI-led interviews and call synthesis) and validate outputs.
• Leverage AI tools to speed up test design and maintenance, and share practices with others.
• Coach engineers on shift-left and quality-by-design practices without direct authority.

Connaissances

E2E automation

Programming languages

Test design

Unit/Component testing

AI tools in testing

CI/CD / release gates

Allure TestOps

Stakeholder communication

Formation

BS/MS in a relevant technical field

Outils

Allure TestOps

CI/CD pipelines

Description du poste

About AlphaSense:

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

About the Role

Expert Research is AlphaSense's expert-call and expert-insights business. Customers use it to find experts, run compliant human- or AI-led interviews, and turn those conversations into research they can act on. We're growing quickly and putting AI at the center of how we build and test.

As Staff Quality Engineer, you will be accountable for quality across this portfolio. You'll set the testing strategy, close the gaps in our most important customer workflows, and help teams ship faster with confidence. You'll work across several engineering teams, and you'll do it without a dedicated QE team or manager, so you'll set direction yourself and bring people along.

What You'll Do

• Define the long-term testing strategy for Expert Research, built on "Quality by Design" and "Automation by Default."
• Close test coverage gaps on our mission-critical and business-critical workflows, such as call scheduling, expert sourcing, compliance, transcript review, and the client and expert portals.
• Build and grow scalable E2E automation, and decide what belongs at the unit, component, API, and E2E layers.
• Partner with developers on test planning for new features, so automation is ready as the code is.
• Set quality metrics and release gates that teams can measure and act on.
• Test AI-powered features, including AI-led interviews and call synthesis, and help define how we validate their output.
• Use AI tools to speed up test design, maintenance, and triage, and show others how.
• Coach engineers on shift-left and quality-by-design practices, influencing without direct authority.

Requirements

• Hands-on E2E automation experience with at least one of Cypress or Playwright, and the willingness to pick up the other.
• Strong skills in at least one programming language (such as Ruby, TypeScript/JavaScript, Python, Kotlin, or Java), and comfort working in unfamiliar codebases.
• Excellent test design skills, including API testing and a deep understanding of testing theory.
• Experience with unit and component testing frameworks (such as RSpec or Vitest) and a clear view of how the test layers fit together.
• A track record of using AI tools to speed up software delivery and testing.
• Strong understanding of continuous delivery and release gating.
• Experience with CI/CD pipeline setup, test management systems (such as Allure TestOps), performance and observability tools.
• Proven ability to set direction on your own, without a QE team or manager in place.
• Experience coaching engineering teams on quality and influencing across multiple teams.
• Strong communication with technical and non-technical stakeholders.

Bonus Points

• Experience testing complex, workflow-heavy web apps, such as scheduling, marketplaces, or admin tools.
• Experience with compliance-sensitive products or sensitive data, such as transcripts or restricted content.
• Experience evaluating AI or LLM output.
• Familiarity with Ruby on Rails or Vue.
• BS/MS in a relevant technical field.

Base Compensation Range

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

$148,350 — $203,550 USD

You may also be offered a performance-based bonus, equity, and a generous benefits program.

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non‑merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.