Staff QE

Wwshemi; United States; Remote; USD 148,000 - 204,000; Full time

Benefits offered by this job

Performance-based bonus

Equity

Benefits program

Job summary

AlphaSense is seeking a Staff Quality Engineer to own the quality across Expert Research. You’ll set the testing strategy, close gaps in critical workflows, and drive fast, confident shipping without a dedicated QE team.

You’ll work across multiple engineering groups, shaping practices and tooling to improve reliability and AI feature validation. You’ll lead end-to-end automation, collaborate on feature test plans, and define metrics that guide release decisions while mentoring peers in

Qualifications

• Hands-on E2E automation experience with Cypress or Playwright, and willingness to learn the other.
• Strong programming skills in Ruby, JavaScript/TypeScript, Python, Java, or Kotlin.
• Excellent test design including API testing and testing theory.
• Experience with unit and component testing frameworks and test-layer integration.
• Track record using AI tools to speed up software delivery and testing.
• Familiarity with CI/CD pipelines and test management tools.
• Ability to set direction independently without a dedicated QE team.
• Experience coaching engineers on quality across multiple teams.
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Define the long-term testing strategy for Expert Research, built on Quality by Design and Automation by Default.
• Close test coverage gaps on mission-critical workflows like scheduling, sourcing, compliance, transcripts, and portals.
• Build and scale E2E automation and decide on unit, component, API, and E2E boundaries.
• Partner with developers on test planning so automation is ready as features are written.
• Set quality metrics and release gates for teams to measure and act on.
• Test AI-powered features and help define validation of AI outputs.
• Use AI tools to speed up test design, maintenance, and triage; share learnings with others.
• Coach engineers on shift-left and quality-by-design practices across teams.

Skills

E2E automation

Programming languages

Test design

Stakeholder communication

Quality by design

Education

BS/MS in a technical field

Tools

Cypress

Playwright

RSpec

Vitest

Allure TestOps

CI/CD tooling

Job description

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 (http://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.

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.

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

Base Compensation Range

$148,350-$203,550 USD

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.