AlphaSense Logo

AlphaSense

Senior Quality Engineer, Findata

Posted 8 Days Ago
Remote or Hybrid
Hiring Remotely in United States
169K-232K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States
169K-232K Annually
Senior level
Lead quality for the FinData portfolio by defining AI-first quality standards, test strategy, metrics, and automation. Architect testing across data pipelines, AI model validation, APIs, and UI; coach teams on shift-left practices; create scalable test suites, datasets, and release gates; drive observability and performance-informed quality decisions.
The summary above was generated by AI
About AlphaSense: 

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Role: 

As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a seasoned Senior Quality Engineer to join our QE org and lead quality on FinData portfolio—spanning financial data generation, delivery, and user-facing experiences across multiple engineering teams. 
In this high-impact role, you will be accountable for architecting the quality standards that underpin our next generation of market intelligence. Your remit is to define how we build, test, and operate in an AI-centric ecosystem. You will lead quality initiatives that ensure our engineering workflows—covering everything from complex data pipelines and AI model validation to system observability and agentic search interactions—are robust, scalable, and AI-boosted. You will be a key leader in establishing "AI-First" as our standard operating procedure, defining the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale.

Who You Are:
  • Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes.

  • Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java

  • Proficiency in testing methodologies and deep understanding of the QA domain and theory

  • Experience with Test Management Systems (e.g., Allure TestOps)

  • Excellent test design skills and experience in API testing

  • Experience with UI test automation frameworks (e.g., Playwright)

  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)

  • Strong understanding of continuous delivery

  • Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place

  • Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority

  • Strong communication skills and ability to collaborate with stakeholders across multiple portfolios


    Bonus points if you have:
  • Experience in setting up and configuring CI/CD tools and pipelines

  • Good understanding of GraphQL

  • Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions

  • Financial data domain knowledge

  • Experience testing backend/data pipeline

  • BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology

What You’ll Do: 

  • Define and drive the long-term testing strategy and quality culture for the AI Platform, emphasizing "Quality by Design" and "Automation by Default."
  • Define quality metrics and coverage standards, partnering with product and engineering teams to ensure data-driven, measurable, and self-sustaining quality outcomes.
  • Grow test coverage through scalable, domain-specific automation and define/maintain complex test datasets, partnering with developers to ensure automation readiness.
  • Guide and support test planning for new features, ensuring alignment with acceptance criteria and coverage across unit, integration, and E2E layers.
  • Continuously improve and streamline testing processes; perform targeted exploratory testing to discover risks, inform automation, and validate model outputs.
  • Coach and mentor engineers on sustainable, scalable quality practices, serving as a strategic partner to ensure delivery standards are met through rigorous release gates.

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 equity, and a generous benefits program.

Compensation Range
$169,050$232,300 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.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Similar Jobs

45 Minutes Ago
Remote
USA
179K-280K Annually
Senior level
179K-280K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Act as embedded product attorney for engineering and product teams, advising on AI, data use, and multi-state healthcare regulations. Translate complex laws and guidance into practical controls, anticipate regulatory risks, and enable compliant product innovation while partnering cross-functionally.
Top Skills: AIFda Software As A Medical DeviceGenerative AiNist Ai Rmf
47 Minutes Ago
Remote or Hybrid
67K-154K Annually
Senior level
67K-154K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Provide procurement analytics and insights to influence enterprise procurement strategy. Synthesize large datasets, build dashboards, lead project workstreams, present findings to stakeholders, and improve reporting infrastructure while mentoring teammates and applying data tools and automation.
Top Skills: Ai/Genai ToolsDatabricksDaxEmblemExcelIntelligent AutomationPower BIPowerPointPythonSASSnowflakeSQL
47 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and develop a team of 6–8 Customer Success Managers supporting enterprise security customers. Own portfolio health, renewals, and expansion; engage with CISOs/CIOs; drive recovery for at-risk accounts; establish operating cadence, playbooks, and KPIs; partner cross-functionally to deliver measurable customer value.
Top Skills: Crm PlatformsCustomer Success PlatformsGovernance Risk And Compliance (Grc)Identity Governance And AdministrationIntegrated Risk ManagementPrivileged Access ManagementSecurity OperationsZero Trust

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account