Engineering Manager - Data Security

at Abnormal Security
💰 $218k-$256k
🇺🇸 United States - Remote
🔒 Cybersecurity🟠 Manager

Job description

About the Role

Abnormal AI is looking for a Senior Engineering Manager to lead the AI Dev Ex group and redefine the Engineering Manager role.

AI Dev Ex builds the product development engine of Abnormal. Our vision is to launch a new product from scratch with all the enterprise-grade features in a matter of weeks. All the components you need (infrastructure, access control, frontend, notifications, observability etc) can be added through GenAI prompts, securely & ready-to-operate across multiple data centers. We’re defining the new paradigm for product development, which is the lynchpin of Abnormal AI’s long term strategy.

While your team redefines development, you’ll redefine Engineering Management. Leveraging the AI tools, we’ll expand the operating capacity of our Engineering Managers, building a flatter and more efficient organization.

AI Dev Ex consists of two teams in NAMER. You’ll be the leader for this group, which comes with the responsibility for the end goal and the autonomy to chart the course, drive execution & build the team you need. The ideal candidate will have led multiple teams in enterprise environments, comfortable working with a distributed team and excited to be on the bleeding edge of the GenAI wave.

What you will do

  • Leadership and Collaboration

    • Receive assignments in the form of long term objectives and chart the course to achieve them.
    • Collaborate with Engineering Managers, Architects and Product Managers on product requirements, technical solutions, and product architecture
    • Collaborate with senior and executive leaders to guide creation of quarterly OKRs and roadmaps
  • Transform the Manager Role

    • Leveraging GenAI, redefine the Engineering Manager role to be able to lead more teams & more engineers, in an efficient & effective way.
    • Pilot the new framework with your teams, then roll it out to the division and R&D organization
  • Execution Excellence

    • Ensure delivery of projects on time, on budget & on scope by monitoring progress, anticipating blockers and resolving them before they become problems.
    • Install the division operating system into the teams to provide clear visibility into stakeholders, engendering confidence.
  • People Management and Growth

    • Create a healthy team environment & culture with low attrition & high team member satisfaction
    • Actively manage team performance - understand team member’s strengths and weaknesses, areas of growth, whether they are meeting their specific role expectations, and craft a plan to address under & over performance
    • Coach engineering managers & staff engineers: provide timely, actionable feedback and invest time in career development for key leaders.
  • Recruiting

    • Define the staffing requirements to reach long term targets
    • Create recruiting plans job reqs, rapidly hire qualified candidates
    • Drive the closing of candidates
    • Create onboarding plans to set up new hires for success

Must Haves

  • 5+ years of engineering management experience, with at least a year leading multiple teams & managing managers.
  • 10+ years of product development leadership experience (as a lead engineer or engineering manager) working with cross-functional counterparts to build enterprise class customer-facing products
  • GenAI enthusiast - you’re excited to leverage the opportunities GenAI brings for product development, division operation & use the tools yourself regularly.
  • Autonomy - you don’t need supervision or handholding, you ask for support when you need and things are good if you don’t.
  • Recruiting magnet - you are able to set up a hiring plan, attract senior engineers, outline the vision of the team and build out a large team
  • High standards - sets high standards and expectations for project execution for themselves and the whole team.
  • BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Nice to Haves

  • MS degree in Computer Science, Electrical Engineering or other related engineering field
  • Experience in a high growth, successful startup (IPO or acquisition)

#LI-ML1


At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base salary range:

$218,100—$256,600 USD

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.

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