{"id":1136062,"url":"https://alion.io/job/trellis-ai-rcm-operations-specialist-infusion-ai-platform","title":"RCM Operations Specialist, Infusion (AI Platform)","company":{"id":7387,"name":"Trellis AI","domain":"runtrellis.com","url":"https://alion.io/company/trellis-ai","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Operations","role_family":"Operations","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":65000,"max":90000,"currency":"USD","period":"year","gross":null,"usd_annual":90000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-23T08:11:46Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T13:27:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Description\nAbout Trellis\nTrellis builds AI that handles intake, benefits, prior authorization and reimbursement for infusion and specialty pharmacy providers, so patients start therapy faster and providers get paid for it.\nThe role\nYou will be our expert on infusion prior authorization and reimbursement. Our system reads referrals, clinical notes and payer policies, then prepares the work that intake and reimbursement teams do by hand today. Your job is to make sure that work is right. You will review real cases across our customers, catch what the system gets wrong and explain why. Then you turn that judgment into rules and test cases our engineers build on. You will work directly with the product and engineering team.\nWhat you will do\nReview prior authorization and reimbursement cases for infusion customers, covering benefits, coverage, PA requirements, medical necessity, billing codes and units\nCheck each decision against payer policies, Medicare LCDs and NCDs, payer portals and the patient's clinical documentation\nBuild answer keys that record the correct outcome for real cases, with the reasoning and source behind each call\nFind patterns in errors and write them up clearly for product and engineering, with examples\nKeep a working library of payer rules, drug coverage criteria and billing conventions up to date\nLearn how customer intake and reimbursement staff handle edge cases, and bring those conventions into the product\nReview early output during customer onboarding and flag risk before it reaches a claim\nWhat you bring\n3+ years in infusion or specialty pharmacy revenue cycle, such as prior authorization, benefits verification, billing, denials or appeals\nWorking knowledge of medical versus pharmacy benefit, buy and bill, HCPCS J codes, administration CPT codes, NDC to billing unit conversion and modifiers\nComfort reading LCDs, NCDs and commercial medical policies and applying them to a specific patient\nExperience with payer portals and PA tools such as Availity or CoverMyMeds, and pharmacy or infusion systems such as CPR+ or WellSky\nCareful judgment. You know the difference between what the chart says and what someone assumed\nClear writing. You can explain a denial risk in two sentences to someone who has never billed a claim\nNice to have\nA CPC, CPB, CRCS or similar certification, or a pharmacy technician or nursing background\nExperience at a home infusion provider, ambulatory infusion center or specialty pharmacy\nExperience with biologics, IVIG and other high cost therapies across Medicare, Medicaid and commercial plans\nCuriosity about how AI can change healthcare operations. No coding required\nIntro call with Ahmed (30 min). Your background, the kind of reimbursement work you have done, and what you want next.\n\nCase review exercise (60 to 90 min). We share two or three anonymized infusion referrals with the relevant payer policy. You decide whether a PA is needed, whether the case meets coverage criteria, and how it should be billed. Then we go through your reasoning together. We care more about how you think and where you look than about a perfect answer.\n\nTeam conversations (45 min). Meet the people on product and engineering you will work with every day, and ask anything about how we build.\n\nReferences and offer. We move quickly and will tell you where you stand after each step.","description_format":"text","description_chars":3353,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Digital Health","AI Agents","Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-23T08:11:46Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":87,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":90000,"is_top_pay":false},"html_url":"https://alion.io/job/trellis-ai-rcm-operations-specialist-infusion-ai-platform","json_url":"https://alion.io/job/trellis-ai-rcm-operations-specialist-infusion-ai-platform.json","meta":{"generated_at":"2026-09-24T17:19:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}