Data Science Product Manager, Yield Optimization
New York, New York County, New York, 10261, USA
Listed on 2026-01-15
-
IT/Tech
Data Analyst, AI Engineer, Data Scientist
About Trellis
Trellis is rewriting the insurance experience from the inside out. We’re the tech company behind Savvy, our licensed insurance agency, and we’re bringing clarity and ease to a space known for… the opposite. With powerful tools, clean design, and a customer-first mindset, we’re making insurance shopping refreshingly effortless.
We’re a profitable, fast-growing Series A startup backed by General Catalyst, QED, NYCA, and Amex Ventures. As a remote-first team, we move quickly, experiment boldly, and build with intention.
If you’re craving meaningful impact, energized by ambiguity, and are ready to build alongside exceptional teammates, you’re going to love doing your best work at Trellis.
Your MissionWe 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.
We believe in paying competitively for great work. As a remote team, we set our salaries at the 75th percentile of national market data in our industry. For this role, the base salary range is $195,000 – $205,000. We review compensation twice a year to make sure we’re staying competitive and rewarding our team’s contributions.
What You’ll Do::
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.
- 7+ years of experience in Data Science roles implementing predictive models.
- Proven Elevator (!) 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.
- Business & Product Acumen:
Strong ability to translate complex business problems (like optimizing revenue) into clear analytical questions and communicate insights/trade‑offs to non‑technical stakeholders and external partners. - High Autonomy & Execution:
Demonstrated capacity to operate with high autonomy, follow through on unowned problems, and thrive in a fast‑paced, scrappy startup environment. - Communication:
Clear, concise, and professional written and verbal communication for both internal alignment and external partner management. - Preferred:
Experience with ML platforms (e.g., Data Robot) or a background in Ad Tech/Insurtech is a plus.
We’re a group of curious, mission‑driven humans rewriting the insurance…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).