Specialist III, Knowledge Base
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About Us
Grow was born to tackle a critical challenge: making mental health care more effective and accessible for everyone. Since launching in 2020, 15 million sessions have started on Grow, and we've barely scratched the surface. We do it through a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Every solution we build reveals ten more waiting to be delivered, and that's just what gets us going. We've backed that ambition with more than $328M in funding, including our Series D at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.
At Grow, the work you do can literally change someone's life. Your work here doesn't stay on a screen; it impacts whether someone can find, afford, and access quality care. That ambition sets us apart, and offers you an endless runway to impact one of the world's most urgent issues. We don’t have passenger seats here. Everyone is driving something that matters.
This work deserves real commitment. So if you thrive on meeting problems head on, untangling serious complexity, and working at pace with the sharpest yet kindest people around, you've come to the right place.
The Opportunity
We’re looking for a Specialist III, Knowledge Base to own revenue cycle management (RCM) knowledge and build it for scale. You’ll start with RCM and, over time, take on additional assigned domains, creating the guides and processes that frontline and operational teams rely on and partnering with RCM leaders and subject matter experts to keep them accurate, validated, and easy to find.
What You’ll Be Doing
Create, edit, organize, publish, and retire internal guides, standard operating procedures, decision trees, job aids, and other knowledge resources, first for RCM and over time for additional domains.
Translate complex payer rules, compliance requirements, product behavior, and operating processes into clear, action-oriented guidance for frontline and operational teams, with logical architecture, naming, metadata, and ownership so people can find it fast.
Manage the content lifecycle for your domains (intake, prioritization, subject matter expert review, approval, publication, revalidation, version control, and retirement).
Test priority content against real or representative cases, document gaps, and drive them to resolution, and monitor product, policy, payer, process, and regulatory changes so guidance is updated before it creates risk.
Partner with RCM leaders, subject matter experts, Training, and Quality so ownership, decisions, and approval timelines are clear, support launches and process changes, and escalate unresolved policy ambiguity.
Track and report knowledge measures such as validation coverage and pass rate, change-update SLA, demand coverage, and user feedback, and recommend improvements to templates, governance, workflows, and tooling.
Structure content so it supports both human teammates and AI-enabled workflows as Grow’s knowledge ecosystem evolves.
Communicate approved updates to the RCM team through channels such as Slack or team meetings, in partnership with managers, who retain ownership of change management, adoption, and adherence.
What You’ll Bring
You have 2+ years of experience in knowledge management, content operations, technical or process writing, RCM or insurance operations, support enablement, or a closely related field, and equivalent demonstrated internal experience is welcome.
You have working knowledge of healthcare revenue-cycle or insurance operations, such as billing, claims, denials, collections, payer requirements, credentialing, eligibility, and benefits.
You write and edit well, turning complex or incomplete source material into concise, actionable guidance for different audiences.
You’ve partnered with subject matter experts and operational leaders to clarify ambiguity, document decisions, and move content through review and approval.
You have a practical quality mindset: you test whether guidance works, find edge cases and risk, and revise based on evidence rather than preference.