Director of Product - AI Training

About Invisible

Invisible is the operations innovation company transforming how companies are built and run.

We are a tech-enabled service providing solutions to the world’s most 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

The landscape for AI Training is completely transforming as we speak. The pace and step-changes in model improvements are high, which has created an impetus for high-speed  innovation in training methodologies, evaluation tools and safety standards. This is a key role at Invisible that will shape the future of Invisible’s AI Training products. You will report directly to the Head of Product and will build a team that focuses on various aspects of our AI strategy, spanning the right training tools and techniques, datasets and evaluations. You will have the opportunity to build out a team of Product Managers and Designers, leading from the front for a transformative future in AIT. 

What You’ll Do

Research and Discovery: Lead research and discovery efforts in the next generation of frontier technology, including SFT, RLHF, RLAIF,  multi-modal training techniques and agentic AI workflows 

Proofs of Concept Development: Develop cutting-edge proofs of concept with foundational model companies and other technology clients utilizing these capabilities to build or train their own models.

Tooling Development: Create tools that enhance the productivity and quality of human agents in labeling, annotation, and training work. Develop reporting and analytical capabilities that help clients make informed trade offs and decisions.

Infrastructure Development: Build the necessary infrastructure to deploy, monitor, and ensure the quality of training datasets and models.

Collaboration with Experts: Work closely with ML engineers, data scientists, and researchers to identify and invest in the right areas for building state-of-the-art AI training products.

What We Need

You will have 7-8 years of product management experience in technology companies, including 2-3 years of managing PMs. You have a proven track record in building cutting edge tools for foundational and Gen AI products, serving the needs of top AI companies and dealing with tens of thousands of human agents. You obsess over the latest developments in AI and are directly involved in industry conversations around it. You want to be a part of a visionary team where your expertise will lead groundbreaking innovations in AI and frontier technologies, driving the future of intelligent solutions. Cross-team collaboration is a key strength and you lean into bringing an entire organization along with your vision and strategy. You enjoy diving deep and are data-driven. You are deeply strategic and spend as much time identifying the right problem to solve as in the solution itself. You have exceptional analytical skills and outstanding communication skills. 

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. 

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Last updated on Aug 19, 2024