Q

Qualitest

AI-powered software testing and quality engineering

Senior IT Project Manager - Cybersec

Program ManagementConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • At least 8 years of experience in technical program or project management, ideally within software engineering or hardware/software integration environments.
  • Strong working knowledge of Agile/Scrum methodologies, including experience running sprint ceremonies, backlog grooming, and iterative delivery cycles.
  • Demonstrated experience coordinating multiple engineering teams simultaneously, with prioritization and risk management skills.
  • Comfort operating in high-visibility, high-pressure settings, including executive demos and live troubleshooting.
  • Familiarity with AI/automation tools for reporting, tracking, or workflow optimization.
  • Excellent written and verbal communication skills, with the ability to communicate with technical and executive audiences.

Responsibilities

  • Serve as the central point of coordination across software development, product management, and operations teams, ensuring deliverables are scoped, tracked, and delivered on schedule.
  • Manage delivery of technical initiatives spanning infrastructure builds, automated test tooling, telemetry/debug systems, and large-scale data pipelines, often supporting hardware/device validation and bring-up processes.
  • Act as a checkpoint between engineering completion and downstream production or factory release, ensuring software meets validation and calibration standards before sign-off.
  • Own operational functions such as tech support workflows, community/user engagement programs, and device or fleet management, including the people and processes supporting them.
  • Coordinate between teams generating and consuming data, ensuring outputs match evolving downstream requirements, including transitions between data sourcing methodologies.
  • Plan, script, and run live product demonstrations for senior leadership and executive audiences, including real-time troubleshooting and contingency management.
  • Build or leverage AI-powered agents and dashboards to automatically track deliverables, flag risks, and generate stakeholder-ready status reports.
  • Translate technical progress and blockers into clear updates for engineering leadership and non-technical executive stakeholders.
  • Prototype new workflows and approaches where no playbook exists, then codify learnings into standard operating procedures that scale across the team or organization.
  • Manage and mentor a small team or group of coordinators/contributors supporting operational functions, fostering an AI-forward, efficiency-driven culture.

Desired Qualifications

  • PMP, PMI-ACP, SAFe, or equivalent certification.
  • A Bachelor's degree, preferably in Computer Science, Information Technology, or Business Administration.
  • Experience with hardware/software co-development environments, such as device calibration, chip bring-up, or factory validation.
  • Prior experience building or managing AI-powered internal tools or dashboards.
  • Life sciences domain experience.
  • Cybersecurity, Endpoint and M365, Cloud and Network, IT Service Management, ITIL Process, and Training experience.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$497M
Headquarters
Fairfield, CT
Founded
1997

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