[Hiring] Data Science Product Manager, Yield Optimization @Trellis

Role Description

We are seeking a Data Science Product Manager, Yield Optimization to lead the development, implementation, and ongoing improvement of predictive models that are central to our marketplace and revenue generation by ensuring that we show the optimal offers to our users. This critical role is focused on continuously improving decision-making for every individual user—from the moment they arrive to their final placement with an insurance provider—directly impacting funnel optimization and our revenue engine.

This is a highly cross-functional role where you will collaborate closely with internal Engineering and business stakeholders to turn messy, real-world data into clear insights and working models, while also interfacing externally with our ad and call buyers. Success requires a blend of product ownership, business acumen, and full-stack data science proficiency to define problems, prioritize opportunities, and ensure the models you own drive maximum business impact.

This is a fully remote position, based in the US or Canada, and will report directly into Keith Schreer, VP of Data.

What You'll Do:

• Partner with Engineering and Business teams to seamlessly integrate models into our recommendation engine.
• Drive the full lifecycle of our yield optimization models, from ideation and development to production monitoring and iteration.
• Continuously evaluate and improve model accuracy and interpretability to directly impact key business KPIs like revenue and conversion rates.
• Use sophisticated models to intelligently match users to the best offers, driving value for our internal agency and external buyers.
• Interface directly with external partners, ensuring mutual success and aligning model performance with partner goals.

Qualifications

• 7+ years of experience in Data Science roles implementing predictive models.
• Proven Full-Stack Data Proficiency: end-to-end ownership of predictive models used in production.
• Experience with recommendation systems, ad tech, or yield optimization models.
• Expert proficiency in SQL and the ability to independently source, wrangle, and understand data across the full stack.
• Strong ability to translate complex business problems (like optimizing revenue) into clear analytical questions and communicate insights/tradeoffs to non-technical stakeholders and external partners.
• Demonstrated capacity to operate with high autonomy, follow through on unowned problems, and thrive in a fast-paced, scrappy startup environment.
• Clear, concise, and professional written and verbal communication for both internal alignment and external partner management.

Requirements

• Preferred: Experience with ML platforms (e.g., DataRobot) or a background in Ad Tech/Insurtech is a plus.

Benefits

• A flat, transparent culture where your voice actually matters.
• Ground-floor opportunity with room to stretch and grow.
• Compensation at the 75th+ percentile.
• 100% remote... work from wherever you do your best thinking (In the US or Canada, that is).
• Quarterly team events that keep our fully remote culture connected and fun.
• Flexible vacation (seriously, we want you to take it).
• 100% employer-paid health insurance for employees (65% for dependents).
• Home office budget to set up your perfect workspace.
• Wellness events throughout the year, because we believe in investing in the full human, not just the employee.
• Automatic 401(k) contribution, FSAs, bonuses, and equity opportunities to invest in your future.
• Paid parental leave.