System1 is looking for a senior product manager to join our Data Science team.

You will drive product direction for a talented team focused on building models that

power our large scale marketing platform. System1 products touch 100s of millions of

users per month and our platform processes 5B+ data points every day.

The ideal candidate will have a background in managing technical data science & analytics

projects, balancing stakeholder requests, working cross-functionally with engineering and

operations teams and writing detailed functional specifications.

With billions of data points ingested daily and the ability to impact and automate millions

of critical decisions that drive the core of our business, this is a unique opportunity to

build new advanced ML and AI capabilities at a company that still innovates at the pace of

a startup but has the data and scale of a successful billion dollar company!

The U.S. base salary range for this full-time position is $171,500 - $257,300 + bonus + equity

+ benefits. Our salary ranges are determined by role, level, and location. The range

displayed on each job posting reflects the minimum and maximum target for new

hire salaries for the position across all US locations. Within the range, individual

pay is determined by work location and additional factors, including job-related

skills, experience, and relevant education or training. Your recruiter can share more

about the specific salary range for your preferred location during the hiring

process. Please note that the compensation details listed in U.S. role postings

reflect the base salary only, and do not include bonus, equity, or benefits.

System1’s headquarters is located in Marina del Rey, CA with additional offices in

Bellevue, WA and Guelph, ON, Canada. Employees near office locations are

returning to the office. Location-specific policies and available accommodations

will be discussed during the interview process.

System1 allows fully-remote work in the following approved locations: Arizona,

Colorado, Connecticut, Georgia, Hawaii, Missouri, New Jersey, New

York, North Carolina, Oregon, Pennsylvania, Tennessee, Texas and

Virginia. Prospective U.S. employees who live outside of any of these states will

need to establish residency in one of the approved states prior to employment.

Reasonable accommodations will be provided as applicable.

Equal Employment Opportunity:

System1 provides equal employment opportunities to all employees and applicants

for employment and prohibits discrimination and harassment of any type without

regard to race, color, religion, age, sex, national origin, disability status, genetics,

protected veteran status, sexual orientation, gender identity or expression, or any

other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting,

hiring, placement, promotion, termination, layoff, recall, transfer, leaves of

absence, compensation and training.

#LI-Hybrid

#BI-Hybrid

#LI-AW1

Define and execute a product strategy for AI initiatives aligned with System1’s overall business goals.
Develop and maintain a product roadmap that prioritizes AI-driven solutions, focusing on maximizing the value of LLMs in Adtech applications.
Identify, prioritize & evangelize the areas that can get the biggest impact from using data science techniques
Create a prioritized roadmap of Data Science projects, and define measurable success criteria for them
Be a thought partner for counterparts in Product, Engineering & Operations to recommend technical solutions, and influence the roadmap.
Productize the ML platform and ensure it’s performance & quality is measurable using business metrics
Own the definition, tracking, and reporting on KPIs for all data science products

5+ years of product management experience in integrating and managing data science products, and data analytics.
Proficient in scripting languages (Python/R)
Deep knowledge of AI/ML technologies, including hands-on experience with practical applications of LLMs.
Advanced SQL skills
Experience with NLP pipelines
Experience with experimentation (A/B testing, RDD, diff-in-diff experiments)
Knowledge of with Data visualization techniques
Engineering or computer science education and/or relevant technical background
Excellent written, verbal, and leadership skills
ETL experience is a plus

Senior Technical Product Manager, Machine Learning