Director of Engineering - AI Training

About Invisible

We are a tech-enabled service providing solutions to the world’s most innovative AI research labs and leading businesses solving complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of thousands of experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.

Invisible has experienced exponential growth, quadrupling in size year over year for the past three years. At the beginning of 2024, we surpassed an Annual Recurring Revenue (ARR) of $100 million and continue to grow at speed. Operating as a profitable business, we maintain near complete ownership, with a firm foundation built on creating long-term shareholder value. We are excited to offer substantial equity compensation as part of our commitment to our team, presenting life-changing opportunities for our partners.

About The Role

Invisible works with 70% of the top AI firms providing human data (RLHF, SFT data, Evaluations, Multimodal Dataset Creation, Red Teaming, Synthetic Data). As the Director of Engineering for AI Training you’ll collaborate with our Director of Product for AI Training to co-create our strategy for our AI Training products. You’ll be responsible for ensuring that we remain an industry leader by adopting new technologies and techniques to develop leading AI models. You’ll also be responsible for recruiting, training and managing multiple teams of software engineers who are focused on developing new multimodal  web interfaces, LLM tools for automatic evaluation and quality assurance of training data and tools to combine human generated data with synthetic data.

What You’ll Do

• Culture - We expect everyone on the team to be constantly learning and growing. As a Director of Engineering, your enthusiasm for continual growth should permeate through the organization, raising the bar for performance in your team.
• Execution - The first principle of execution is reliable delivery — you honor your commitments. You should set clear expectations for your deliverables and drive them to completion. Communication is key, say what you’re going to do, do it, and then let everyone know that it’s done.The second principle of execution is intelligent prioritization. You will be expected to set the strategy and roadmap for your organization, aligning it with the overall vision of the company.
• Leadership - Your role is not just to manage, but to lead. You will be expected to provide clear direction, mentorship, and support to your teams, setting the example for how to work and behave. You will also be responsible for hiring and performance management, ensuring your teams are staffed with the best talent and performing at their best.
• Technical Proficiency - As a technical leader, you will be expected to have a deep understanding of software engineering principles and processes, be able to understand and discuss architectural decisions, and contribute to the development of our technical infrastructure. Experience in developing and implementing process improvements, software methodologies
• Location - As a part of this role you will be managing a globally distributed team that has members in IST and CET time zones. You will also regularly meet with clients who are based in EST and PST, because of this we’re looking for a candidate based in EST so they will have reasonable overlap to meet with members of their team while also being available to collaborate with clients.

What We Need

• 5+ years of experience managing engineering managers in a high growth environment.
• 5+ years of hands-on software development experience. You won’t be writing code but you need to be able to speak with authority on deep technical issues and drive programs that ensure high quality implementation.
• A Deep understanding of the training process for AI models.
• Deep understanding of machine learning algorithms, neural networks, and AI model training processes.
• Familiarity with designing and implementing systems that involve human participation in data generation and model training.
• Bachelor's Degree in Computer Science, Data Science, or equivalent experience.

What’s In It For You

We believe in recognizing exceptional work with exceptional benefits. That’s why we empower our Partners to work remotely around the world on a schedule that suits their lifestyle. Our Partner Pay Model is fully transparent and designed for co-ownership, recognizing that professionals have unique needs. We balance profitability and growth by reinvesting annual profits to fuel expansion and fairly compensate our partners. With over 65% ownership already in the hands of our partners, we are committed to achieving 100% partner ownership. Moreover, our leadership team is legally obligated to buy back partner shares according to a formal liquidity plan. This ensures a clear path for those who choose to sell their stake in the company.

Compensation: 

• Base: $230,000
• Base + Bonus Target: $315,000
• This role is eligible to participate in Invisible’s equity plan.

The amount listed above is the expected annual base salary for this role, subject to change.

Country Hiring Guidelines:
Invisible hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. 

Privacy Policy:
All candidates and residents of California may visit our Recruitment Privacy Policy and Notice at Collection here. 

Accessibility Statement:
We are committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. 

Equal Opportunity Statement:
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

You may view Invisible Pay Transparency Policy, and Equal Employment Opportunity is the Law notice, by clicking on the corresponding links.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.