Data Science Product Manager, Trellis
Yield Optimization
Ebedded insurance provider
Job no longer available
Ebedded insurance provider
101-200 employees
Job no longer available
101-200 employees
Company mission
To simplify and automate shopping for home and auto insurance by applying technologies to save time and money for shoppers and insurers alike.
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 confusing and time-consuming process, which is why many people end up sticking with policies that aren't quite right for them. Trellis was built to make this easier, offering a platform that lets users compare insurance options side-by-side. It also works with digital banks and financial platforms to present relevant insurance choices directly to customers.
Recently, Trellis was acquired by Gen Digital, the company behind brands like Norton and LifeLock. As part of the deal, Trellis' technology will be integrated into Gen's "Engine" platform, which helps users find financial products tailored to their needs. Meaning Trellis' tools will now reach a much larger audience and play a role in offering more personalized insurance recommendations.
The acquisition highlights a broader trend in finance, where services like insurance are increasingly built into the apps and platforms people already use. With Gen's scale behind it, Trellis is now in an even better position to grow and improve how customers discover and choose insurance products.
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
- Competitive Salary: We target above-market base salaries (75th percentile, US-wide), along with performance bonuses and equity opportunities, so you’re rewarded for your contributions and invested in our shared success.
- Fully Remote: We’re fully remote because we trust great people to do great work wherever they are. We strive to find top performers and provide an environment that allows them to do their best work.
- Investment in You: From a new laptop to a budget for your home office setup, we ensure you have what you need to do your best work. Plus, with quarterly team-bonding events, we stay connected and have some fun, too.
- Health: We invest 100% in health, life, and disability premiums for our employees and contribute 65% for dependents, so you and your family can have peace of mind.
- Retirement: After one year of service, employees are automatically enrolled in Trellis’ 401(k) plan, including a non-elective contribution by Trellis of 3% of your earnings.
- Unlimited Vacation Time: Take the time you need. We believe in working hard, but also trust you to rest and recharge.
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Daniel Demetri
(Founder & CEO)Alongside serving as Trellis' CEO, Daniel is the VP/Head of Insurance Vertical at Gen. Previously, he co-founded Doma where he served as the CPO for 2 years. He also worked at Google for 3 years as an Associate Product Manager and Product Manager.
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