Data Science Product Manager, Trellis
Yield Optimization
P&C insurance data services
Be an early applicant
P&C insurance data services
21-100 employees
Be an early applicant
21-100 employees
Company mission
To build industry-leading solutions that make insurance easy for everyone, from consumers to partners to insurers.
Role
Who you are
- 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
- Business & Product Acumen: 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
- 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., DataRobot) or a background in Ad Tech/Insurtech is a plus
What the job involves
- 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
- Report directly into Keith Schreer, VP of Data
- Lead Product & Planning: Partner with Engineering and Business teams to seamlessly integrate models into our recommendation engine
- Own Predictive Model Roadmap: Drive the full lifecycle of our yield optimization models, from ideation and development to production monitoring and iteration
- Drive Revenue: Continuously evaluate and improve model accuracy and interpretability to directly impact key business KPIs like revenue and conversion rates
- Cultivate a Thriving Marketplace: Use sophisticated models to intelligently match users to the best offers, driving value for our internal agency and external buyers
- Drive External Partnership Success: Interface directly with external partners, ensuring mutual success and aligning model performance with partner goals
Our take
Changing insurance providers can be a daunting and overwhelming process. Its a complex and lengthy undertaking, resulting in many people sticking to the same provider, even if it doesn't best suit their needs.
Recognizing the need for a better solution is Trellis, that delivers an API platform for consumers to compare insurance policies side-by-side. It also partners with digital banks and financial institutions to offer new insurance options to their existing customers - a feature which allows it to stand out from the competition.
Trellis has seen exponential growth since founding in 2019, and has secured strong funding from the likes of Amex Ventures. The company is now in a prime position to accelerate its offerings and further innovate the insurance market.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
May 2022
$5m
EARLY VC
Jun 2021
$10m
SERIES A
Total funding: $15m
Company benefits
- Bonuses and equity opportunities
- Unlimited vacation time
- 100% employer-paid insurance for employee, 60% for dependents
- 401K plan
- Annual in-person retreats
Company HQ
SoMa, San Francisco, CA
Leadership
Daniel Demetri
(Founder & CEO)Previously co-founded the insurance company, Doma. Also worked as a Product Manager at Google as well as a Product Lead/Head of Product Management at Earnest.
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