
11 - 50 employees
Founded 2023
đ„ Healthcare
âïž SaaS
đ€ Artificial Intelligence
đ° $6.7M Venture Round on 2023-12
Healthcare âą SaaS âą Artificial Intelligence
Midstream Health is an autonomous financial operations company for healthcare providers. It connects revenue and cost in a single intelligent system that continuously takes action to recover missed payments, reduce spend, and improve margins. The platform models finances at an atomic levelâcontracts, claim lines, rebates, and paymentsâusing domain-trained agents (Recovery, Pricing, Optimizer, Negotiator, Reporter, Pulse) to read contracts and act on claims, invoices, and rebate conditions in real time, automating and augmenting finance and revenue operations. Midstream focuses on supply chain savings, managed care revenue protection, and pharmacy spend control (340B, GPO, PBM, WAC). It positions itself as a closed-loop AI system that executes recoveries end-to-end rather than just surfacing insights, and offers services including value engineers and forward-deployed engineers to capture savings for health systems.
đ„ 14 hours ago
đșđž United States â Remote
â° Full Time
đ Senior
đŽ Lead
đ·đ»ââïž Engineer
đ» Ghost score 14%
Where this job comes from
Posted on Midstream Health's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Midstream Health's site. Checked 52 minutes ago.

11 - 50 employees
Founded 2023
đ„ Healthcare
âïž SaaS
đ€ Artificial Intelligence
đ° $6.7M Venture Round on 2023-12
Healthcare âą SaaS âą Artificial Intelligence
Midstream Health is an autonomous financial operations company for healthcare providers. It connects revenue and cost in a single intelligent system that continuously takes action to recover missed payments, reduce spend, and improve margins. The platform models finances at an atomic levelâcontracts, claim lines, rebates, and paymentsâusing domain-trained agents (Recovery, Pricing, Optimizer, Negotiator, Reporter, Pulse) to read contracts and act on claims, invoices, and rebate conditions in real time, automating and augmenting finance and revenue operations. Midstream focuses on supply chain savings, managed care revenue protection, and pharmacy spend control (340B, GPO, PBM, WAC). It positions itself as a closed-loop AI system that executes recoveries end-to-end rather than just surfacing insights, and offers services including value engineers and forward-deployed engineers to capture savings for health systems.
âą Analyze complex healthcare contracts, financial datasets, and operational information to identify margin improvement opportunities âą Investigate discrepancies, validate findings, and translate data into clear, actionable recommendations âą Partner with health systems to define success, quantify financial opportunities, and guide initiatives from discovery through realization âą Own customer outcomes from initial analysis through ongoing engagement âą Develop expertise in supply chain, pharmacy, managed care, and health system financial decision-making âą Serve as a strategic partner to analysts, operational leaders, and finance executives âą Guide adoption, proactively address challenges, and build trusted customer relationships âą Work with Product and Engineering to translate customer insights, analytical methodologies, and complex workflows into scalable product capabilities âą Identify opportunities to automate manual analysis and improve platform accuracy and value âą Support renewals and expansion into new use cases âą Help turn successful deployments into lasting partnerships and customer advocacy
âą 7+ years of relevant experience in healthcare consulting, financial analytics, value engineering, enterprise SaaS, or similar customer-facing environments âą Exceptional analytical and problem-solving skills âą Experience working hands-on with Excel, SQL, and other analytical tools âą Understanding of health system operations, particularly supply chain, pharmacy, managed care, or related functions âą Ability to connect contractual and financial data to operational decision-making and execution âą Experience working directly with customers to solve complex problems âą Ability to communicate complex analytical findings clearly to stakeholders ranging from technical analysts to senior executives âą Commercial understanding of how measurable value strengthens customer relationships and creates deeper partnerships âą Interest in AI-powered analytical workflows and collaboration with Product and Engineering âą Ability to work independently through ambiguity in a fast-moving environment âą Must be able to relocate if required by the role, as indicated in the application form
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