Mending is a team of healthcare nerds, software engineers, product designers, direct primary care doctors, health technology operators, and more. Our mission is to craft better health by accelerating the future of care.
Today, our products focus on Direct Primary Care (DPC). We build the technology and infrastructure that helps employers, health plans, TPAs, brokers, and DPC practices work together at scale. Our data platform integrates DPC into health plans in ways that lower costs, improve access, and deliver better outcomes for members. In doing so, we bring more patients into DPC practices while preserving what makes the model work.
We’re looking for a claims-fluent analytical expert to take Mending from reporting on insights to being the reference point on DPC and network benefits.
Mending sits on claims, eligibility, and DPC data across TPA (Third-party administrators), employers, DPC practices, and health plans. Today, we already have the foundational layer of reporting for different audiences and alignment on core data definitions. The next step is to establish benchmarks, turn raw data into customized insights, and build the proof points for the commercial team to accelerate the next sale or upsell through data.
This role is perfect for someone who wants to own a custom narrative for a large employer thinking about expanding the benefit to dependents, while also building out a case study that Mending will present at a conference in front of doctors discussing DPC usage trends in the last year. You know how to prioritize across accounts and understand your internal counterparts so the deliverable leads with the narrative and the right data supports it.
We're open to a senior individual contributor who wants to dig in and tell us what we should do next or someone earlier in their career who will get directional guidance and be left to run with it.
Salary Range*: $85,000 to $125,000 base, plus meaningful equity
*Subject to location and experience
You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status