Team Lead – GenAI & Code Analysis Infrastructure

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Description

We’re forming a new elite team to shape the next generation of our SAST detection infrastructure with the power of Generative AI. We’re looking for a hands-on Team Lead with a solid foundation in code analysis algorithms and a proven track record in building GenAI-driven systems.

As a leader, you’ll recruit and mentor top-tier talent, set the technical vision, and work across research, product, and engineering to deliver high-impact solutions.

What You’ll Do

  • Lead the design and development of next-generation code analysis infrastructure by building and managing a high-performing team of algorithm engineers and research scientists.
  • Drive technical innovation around GenAI integration into static code analysis workflows
  • Design and review algorithms for semantic code understanding and vulnerability detection
  • Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to to align team direction with strategic goals
  • Foster a strong engineering culture of experimentation, ownership, and impact

Requirements

Requirements:

  • MSc or PhD in Computer Science (or a related field) from a top-tier academic institution – Must
  • 3+ years of experience as a Team Lead or Tech LeadMust
  • 3+ years of experience with code analysis algorithms and advanced Java developmentMust
  • Strong ability to mentor, guide, and motivate a highly technical team
  • Excellent interpersonal and communication skills – Must

Advantage:

  • Experience in designing and delivering GenAI-based products
  • Strong background in static and dynamic analysis (AST, CFG, DFG, taint analysis, etc.)
  • Familiarity with machine learning on code (supervised/unsupervised approaches)
  • Experience with cloud-native software development and CI/CD (AWS, Azure, GCP)
  • Strong programming capabilities in one or more of: JavaScript, Python, C#, Go, PHP
  • Experience in security engineering, especially static code analysis and vulnerability classification
  • Background in academic or industrial research in code intelligence or ML

The Company: Mend.io offers an enterprise suite of application security tools designed to help organizations build and manage a mature, proactive AppSec program. Mend.io supports both developers and security teams by giving each team different, but complementary, tools to work with—enabling them to stop chasing vulnerabilities and start proactively managing application risk.

Our culture is open, inclusive, and engaging, and we work hard to foster a company where everyone feels valued. Mend is a company that lives by its values:

  • We are passionate about excellence
  • We see the world from the customer’s perspective
  • We are better together

Mend.io’s EEO Statement

Mend.io is an equal opportunity employer committed to encouraging and celebrating its diverse and inclusive workforce. We welcome all without regard to age, race, color, religion, gender identity and expression, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, citizenship, national origin, disability, military status, veteran status, political affiliation, or any other protected characteristics. All aspects of employment including hiring, training, advancement, and discipline will be solely based on merit and qualifications related to professional competence. Mend.io operates on a principle of mutual respect and acceptance, and every employee must follow Mend.io’s anti-harassment and anti-discrimination company policies.

Mend.io’s Diversity Commitment

At Mend.io, we believe bringing together diversity of experience and background creates a better place to work, a better product, and more opportunities to innovate. Mend.io is committed to doing its part to mend the equity gap, fostering a safe, inclusive environment to inspire and support employees to be their authentic selves and provide development opportunities for all.

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