Principal Product Manager - AdTech, AI/LLM

Reports to: Chief Product Officer

Department: Product

FLSA Category: Exempt

Position Type: Full-Time, Mid-Senior level

Travel Requirement: 0-10%, Quarterly for meetings

Office Location: Remote

JOB SUMMARY

Are you a results-driven, customer obsessed, Product Manager Leader, with a passion for bringing together AI/LLM/ML, core engineering, data science, and business to deliver cutting-edge technology? Would you like to use your out of the box expertise to deliver high-impact products, spearheading the changes that will deliver novel solutions for customers?

We are seeking a Principal Product Manager leader with proven ownership and leadership skills, with a proven track record of building 0-1 AdTech solutions, using modern AI/ML applications to join our team. This is an opportunity to define the future of Marketing and Advertising Technology as you build innovative customer experiences across the entire ecosystem of MarTech and AdTech. As a Principal Product Manager leader, you will focus applying and delivering AI/ML solutions that will help customers discover and engage with complex data models in new and innovative ways. You will harness the power of large language modeling (LLMs), artificial intelligence (AI) and machine learning (ML) to help define and build new experiences that make it easier and convenient for customers to innovate and grow their business.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Experience with generative AI, large language models, and their applications in customer-facing experiences.

Experience implementing AI/ML solutions for AdTech and MarTech.

Ability to evaluate and recognize the benefits and limitations of various AI/ML models and architectures.

Experience in data analytics and interpretation skills.

Technical understanding of AI-powered systems at scale.

Experience with rapid prototyping and deployment of AI-driven features and conducting A/B tests.

Team player: Demonstrated ability to partner and collaborate to bring functional teams together.

Innovative thinking and problem solving with the ability to translate business objectives into highly successful, creative customer products.

KNOWLEDGE, SKILLS, ABILITIES, AND QUALIFICATIONS

Bachelor's degree in a technical, analytical or related field.

5+ years of experience in product management (AdTech), with demonstrated 0-1 experience.

3+ years of relevant professional experience in a AdTech-facing machine learning oriented product management role.

Experience in data driven hypothesis testing and experimentation.

Experience working with design teams to improve the user experience for customer-facing products/features.

Exemplary communication, presentation, and organizational skills.

Ability to work at the pace of a start-up.

PHYSICAL REQUIREMENTS/WORKING CONDITIONS:

Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.

Climbing/Stooping/Kneeling: 0% - 10% of the time.

Lifting/Pulling/Pushing: 0% - 10% of the time.

Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.

Sitting: Sitting for prolonged and extended periods of time.

This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.

For more information about the company, please visit our website:

Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class.

Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.

If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to .