Arlo is rebuilding health insurance from the ground up using AI. The healthcare experience today is expensive, confusing, and often so frustrating that people delay the care they need. We’re changing that by reimagining what a health plan should be: a proactive partner that enables health rather than denying it. Our AI-native platform delivers continuous, personalized support for members—helping them navigate benefits, schedule appointments, access high-quality care, and avoid financial fear. Powered by the industry’s most advanced risk-pricing engine, Arlo is already scaling fast: we’ve grown to $XXXM in premiums, cover tens of thousands of people, and see accelerating demand across brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, our team combines deep industry expertise (Palantir, YC) with the ambition to modernize a $1T market.
We are looking for an experienced Senior Member Support Manager to lead and elevate our Member Advocate team. In this role, you will own the full member support lifecycle — from day-to-day coaching and quality assurance to building scalable training programs, driving platform efficiency, and partnering cross-functionally to improve the member experience. This is a hands-on leadership role for someone who thrives in a startup environment, loves operational problem-solving, and is equally comfortable in a spreadsheet as they are on a coaching call.
Manage a team of 4–8 Member Advocates, including daily conversation review, coaching, and weekly 1:1s
Conduct weekly quality assurance reviews and provide intensive coaching where needed
Own performance and metrics: ensure we're measuring the right things accurately and consistently
Lead weekly performance reviews with MAs and deliver weekly reporting covering top issues, volume by category, trends, root causes, and key metrics
Take 5–10 member conversations per week to develop firsthand understanding of both the member and MA experience
Provide queue coverage as needed, particularly during peak season
Actively surface member pain points, trends, and experience improvement opportunities to Product
Own the Intercom back end: capacity limits, workflows, and process efficiencies
Take the lead on Fin (Intercom's AI) as we scale automation capabilities
Oversee and maintain the internal knowledge base
Develop and manage MA training and onboarding curriculum, including leading new hire training
Build a continuing education program — monitoring plan/benefit changes and creating change logs and documentation
Partner with the Head of Customer Operations to maintain the staffing model and project capacity and headcount needs
Oversee the MA hiring process end-to-end
Collaborate with the Talent Lead to evaluate pipeline quality and refine targeting and messaging
4–6 years of customer support management experience, including leading a team of 3 or more
1–5 years of health insurance experience; level-funded background is a strong plus
Demonstrated ability to build or scale a support function from the ground up — startup experience is highly valued
Strong reporting and data analysis skills; you know how to design a metrics framework, not just read a dashboard
Hands-on experience with support platforms; Intercom experience is a plus
Excellent interpersonal and communication skills — you can coach, influence, and build trust at every level
A "no task too small" mindset with the flexibility to zoom out strategically and zoom in operationally
The expected base salary range for this role is $90,000–$110,000, commensurate with experience. This is a fully remote position.
High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company.
Join an important mission: Your work directly influences how people access care and improves lives at scale.
Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity.
Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare.
High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition.
Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process.
Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.