Director of Engineering

Director of Engineering

Full-Time 43200 - 72000 Β£ / year (est.) Home office possible
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At a Glance

  • Tasks: Lead and inspire engineering teams to deliver cutting-edge security and machine learning products.
  • Company: Join a global leader in AI/ML for enterprise security with a flat, inclusive culture.
  • Benefits: Enjoy fully remote work, flexible hours, and a modern development workflow.
  • Why this job: Make a real impact on cybersecurity and user privacy while working with innovative technologies.
  • Qualifications: 5+ years leading engineering teams, expertise in security products, and strong coding skills.
  • Other info: Collaborate with a diverse team and enjoy high growth opportunities in a dynamic environment.

The predicted salary is between 43200 - 72000 Β£ per year.

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

Our Engineering Directors are highly technical: you will need to be a domain expert in one or more areas of distributed systems, online security, and machine learning.

Responsibilities include:

  • Building and leading teams ensuring engineers are productive, and shipping what our customers need while maintaining high code quality, security, and service availability standards.
  • Recruit, motivate, lead, and manage highly technical teams focused on delivering online security and machine learning products at scale.
  • Act as a liaison between product, engineering, customers, and sales to articulate and translate both complex business requirements and technology solutions into useful products.
  • Maintain a high level of assurance and software quality standards while maintaining development velocity: availability is core to nearly every requirement.
  • Define, drive and govern automation and instrumentation to ensure we maintain high observability and automate break-fix as much as possible.
  • In partnership with sales and product teams, model go-to-market strategies for new offerings, oversee architecture, boost client acquisition capabilities, and improve delivery.
  • Put in place effective hiring and onboarding strategies.

What we’re looking for:

  • Minimum of 5 years of hands-on experience leading engineering teams of 20-60 people with a strong background in security products and machine learning.
  • Familiarity with high availability and high security development processes, supported by strong knowledge of Python, NodeJS, and Go or Rust.
  • Experience and demonstrated success with DevOps/systems integration, lightweight development practices, meeting strong SLAs, test-driven design in large scale internet-facing systems.
  • Familiarity with distributed systems design on orchestration platforms like Kubernetes: queue-first architectures, sharding, etc.
  • Strong interpersonal skills, ability to communicate effectively with both technical and non-technical audiences.
  • Demonstrated architecture and business/product need mapping expertise (gather requirements, problem solve, and reason about the best way forward given needs, timeline, and available resources).

What we offer:

  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting edge R&D.
  • Flat organization, direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

Director of Engineering employer: Intuition Machines, Inc.

Intuition Machines is an exceptional employer, offering a fully remote position for the Director of Engineering role that promotes flexibility and work-life balance. With a flat organisational structure and a commitment to equality and inclusivity, employees are empowered to lead innovative projects in AI/ML and cybersecurity, while enjoying opportunities for professional growth and collaboration with a diverse, global team. The company fosters a culture of rapid iteration and high impact, ensuring that your contributions directly enhance user privacy and security for millions worldwide.
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Contact Detail:

Intuition Machines, Inc. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Director of Engineering

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even online forums related to AI/ML and security. You never know who might have a lead on your dream job or can give you insider tips.

✨Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving distributed systems or machine learning. This will help us see your technical prowess in action.

✨Ace the Interview

Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss how you've led teams and tackled challenges in past roles. Remember, we want to see how you communicate complex ideas clearly!

✨Apply Through Our Website

Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in joining our team at Intuition Machines.

We think you need these skills to ace Director of Engineering

Leadership Skills
Technical Expertise in Distributed Systems
Online Security Knowledge
Machine Learning Proficiency
Team Management
High Availability Development Processes
Python Programming
NodeJS Programming
Go or Rust Programming
DevOps and Systems Integration
Test-Driven Design
Kubernetes Orchestration
Interpersonal Skills
Effective Communication
Architecture and Business/Product Need Mapping

Some tips for your application 🫑

Show Your Technical Expertise: Make sure to highlight your hands-on experience with distributed systems, online security, and machine learning. We want to see how your skills align with our needs, so don’t hold back on showcasing your domain expertise!

Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for.

Communicate Clearly: Since you’ll be liaising between various teams, it’s crucial to demonstrate your ability to communicate complex ideas simply. Use clear language and examples in your application to show us you can bridge the gap between technical and non-technical audiences.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Intuition Machines, Inc.

✨Know Your Tech Inside Out

As a Director of Engineering, you’ll need to showcase your expertise in distributed systems, online security, and machine learning. Brush up on the latest trends and technologies in these areas, and be ready to discuss how you've applied them in past roles.

✨Demonstrate Leadership Skills

Prepare examples that highlight your experience in leading and motivating technical teams. Think about specific challenges you've faced, how you overcame them, and the impact your leadership had on project outcomes.

✨Communicate Clearly with All Audiences

You’ll be acting as a liaison between various teams, so practice explaining complex technical concepts in simple terms. Be ready to demonstrate your ability to bridge the gap between technical and non-technical stakeholders during the interview.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss how you gather requirements and solve problems effectively. Think of scenarios where you’ve mapped business needs to technical solutions, and be ready to walk the interviewers through your thought process.

Director of Engineering
Intuition Machines, Inc.
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