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Engineering Manager - Multi-Product Platform

Engineering Manager - Multi-Product Platform

ConfidentialBengaluru / Bangalore, India
19 days ago
Job description

About The Role

Abnormal AI is seeking an experienced Engineering Manager for the Multi-Product Platform (MPP) team. In this pivotal role, you'll drive the development and scaling of our products and platforms while building a high-performing engineering team.

In this pivotal role, you'll lead the engineering team that serves as a force multiplier for our entire organisation. As Engineering Manager of our Configuration Platform team, you'll guide exceptional engineers to create and transform systems that accelerate innovation for hundreds of developers and impact millions of users. You'll guide the team architecting the nervous system of our engineering infrastructure while developing world-class talent—shaping how we ship, scale, and deliver value to customers across the entire engineering organisation.

Your Mission

  • Lead the planning, execution and delivery of new features in existing products and new products.
  • Build reusable, scalable, cloud-native solutions for our internal stakeholders and customers.
  • Architect a low-latency, high-throughput platform and consumer-facing products that will safeguard every outgoing email now and messages / information of our customers in the future.

As the team leader, you'll be responsible for achieving outcomes and the autonomy to chart the course, drive execution, and build the team needed for success. The ideal candidate thrives in a distributed team environment and has experience leading full-stack teams in enterprise settings.

Key Responsibilities

Team Building & Talent Development

  • Define team requirements aligned with long-term objectives
  • Create and execute recruiting plans to attract top engineering talent
  • Develop effective onboarding programs for new team members
  • Foster a healthy team culture with high satisfaction and low attrition
  • Provide coaching and actionable feedback to support career growth
  • Actively manage performance, addressing both under and over-performance
  • Product Delivery & Execution

  • Drive execution plans to deliver on roadmap commitments
  • Collaborate with Product Managers and Technical Leads on requirements and solutions
  • Enforce technical design standards and project plans
  • Establish and track operational metrics (uptime, SLAs, quality)
  • Implement best practices for software development and team processes
  • Leadership & Strategic Direction

  • Translate long-term objectives into executable team goals
  • Assess the feasibility of organisational strategies
  • Partner with cross-functional leaders to develop quarterly OKRs and roadmaps
  • Drive continuous improvement in tooling and processes
  • Balance immediate needs with long-term product vision
  • Qualifications

    Required

  • 2+ years of engineering management experience leading teams of 6+ engineers
  • 4+ years of product development leadership (as lead engineer or manager)
  • 5+ years of experience as an individual contributor
  • Proven track record in technical recruiting and team building
  • Consistently high standards for project execution and quality
  • BS degree in Computer Science, Applied Sciences, Information Systems, or a related field
  • Preferred

  • Experience with our technology stack (AWS, Kubernetes, Python / Django, React, Postgres, Go)
  • Background in cybersecurity or data protection
  • Experience with enterprise SaaS products
  • Abnormal AI is building the next generation of cybersecurity products. Join us in developing innovative solutions that protect organisations from the most sophisticated threats with AI.

    Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .

    Skills Required

    Django, React, Postgres, Go, Python, Kubernetes, Aws

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