Growth Operations Lead - Data-Driven Partner Growth

light insurance; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Light is expanding into new states and verticals, building pricing into a first-class strategic capability, and scaling a partner model that spans solar, real estate, and EV charging. This role puts you at the center of all of it—shaping strategy in the room with founders and partners, then making it real at your desk.

As BizOps, you’ll partner with the founders to identify attractive opportunities, design experiments, and codify learnings into scalable playbooks while building the analytics

Qualifications

• 4+ years in operations, strategy & ops, consulting, chief of staff, or a similar high-ownership role—ideally at a high-growth startup or in a setting where you built systems rather than inherited them.
• Based in Austin, TX. This role is in-person.

Responsibilities

• Drive partner growth, directly with partners. Run the experiments, deep-dive analyses, and strategic sprints that move enrollment and revenue across our partner portfolio.
• Run real experiments. You’ll design and execute structured research programs—conjoint analyses, MaxDiff studies, survey experiments, in-flow tests—to answer the questions that drive plan design, messaging, and go-to-market strategy.
• Codify what works into scalable playbooks. Turn learnings into repeatable frameworks so that every new partner launch is better than the last.
• Build the data and measurement infrastructure. Design metrics, dashboards, and reporting that give real-time visibility into partner health, funnel performance, and portfolio-level KPIs.

Job description

Light is expanding into new states and verticals, building pricing into a first-class strategic capability, and scaling a partner model that spans solar, real estate, and EV charging. This role puts you at the center of all of it—shaping strategy in the room with founders and partners, then making it real at your desk.

As BizOps, you’ll partner with the founders to identify attractive opportunities, design experiments, and codify learnings into scalable playbooks while building the analytics