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San Francisco, California, United States
Hybrid
Midstream is an AI-native financial operating system for health systems, founded by experienced entrepreneurs and backed by top-tier investors. We give finance, supply chain, and managed care teams real-time visibility into where margin is at risk, with a precise action plan for capturing it before it's gone.
Purpose-built for healthcare's complexity, Midstream transforms structured, unstructured, and external data into instant, contract-aware insights that drive smarter decisions. Our AI agents unify spend and revenue operations across the full back-office, learning and adapting with every interaction and delivering always-on intelligence that no point solution or one-off engagement can match.
We're compressing months to minutes and turning post-period hindsight into in-the-moment foresight. The tempo of healthcare finance is changing, and Midstream is leading it.
This role sits at the intersection of Sales, Product, Engineering, and Partner Success, serving as the technical bridge between prospective customers and Midstream’s AI-native platform. You will lead technical discovery, solution architecture, architecture discussions, and technical validation—helping customers understand how Midstream integrates into complex healthcare environments and how our platform delivers measurable operational and financial outcomes.
As a trusted technical advisor, you will guide executive stakeholders, enterprise architects, security teams, and technical leaders throughout the customer journey—from initial discovery and solution design through implementation planning and deployment. You’ll help customers evaluate technical approaches, navigate enterprise architecture decisions, and build confidence that Midstream can integrate securely and scale within their existing technology ecosystem.
This is a high-impact, customer-facing role. Beyond supporting strategic customer engagements, you will help establish the technical foundation that enables Midstream to scale by developing repeatable architecture patterns, demonstration environments, implementation frameworks, and technical assets that elevate the entire commercial organization while shaping the evolution of our product.
Lead technical discovery
Partner with prospective customers to understand their technical landscape, business objectives, integration requirements, AI governance considerations, and long-term technology strategy.
Design enterprise solutions
Develop solution architectures, AI implementation strategies, and phased deployment approaches that demonstrate how Midstream integrates within complex healthcare environments while delivering measurable business value
Own technical validation
Lead technical discovery sessions, architecture reviews, executive workshops, product demonstrations, security discussions, and technical evaluations throughout the enterprise buying process
Serve as a Trusted Technical Advisor
Guide enterprise customers through their AI adoption journey, helping executives, architects, security teams, and operational leaders evaluate technical tradeoffs, implementation approaches, and long-term architecture decisions.
Develop AI Evaluation Frameworks
Help customers define evaluation criteria, success metrics, governance models, and implementation approaches that enable safe and successful deployment of AI within healthcare environments
Build and maintain scalable technical assets
Continuously improve demonstration environments, technical documentation, reference architectures, integration patterns, implementation playbooks, and reusable technical frameworks that enable Midstream to scale.
Shape the product
Partner closely with Product and Engineering to identify recurring implementation patterns, customer needs, and integration opportunities that inform product strategy and future platform capabilities.
Build the Technical GTM Foundation
Create repeatable demonstrations, technical messaging, architecture patterns, and implementation methodologies that reduce technical risk, accelerate enterprise sales cycles, and enable every commercial team member to succeed
Passionate About Applied AI
You are energized by helping organizations responsibly adopt AI. You stay current on modern AI architectures, LLM capabilities, agentic workflows, and emerging enterprise AI patterns, and enjoy translating these innovations into practical business outcomes.
A trusted technical advisor
You build credibility quickly with executives, enterprise architects, security teams, and technical stakeholders.
Experienced in enterprise software
You've worked as a Solutions Architect, Solutions Consultant, Applied AI Architect Sales Engineer, or similar customer-facing technical role supporting complex enterprise software.
A systems thinker
You understand APIs, cloud architecture, enterprise integrations, identity management, data engineering, and AI workflows, and can translate technical concepts into business outcomes.
An exceptional communicator
You are equally comfortable leading executive strategy conversations, whiteboarding architecture with engineering teams, facilitating technical workshops, and presenting live demonstrations.
A builder
You enjoy creating reusable demonstrations, implementation patterns, documentation, and technical assets that make the entire organization more effective—not just yourself.
Customer obsessed
You view every customer conversation as an opportunity to reduce risk, build trust, and improve the product.
Cross-functional team member
You thrive at the intersection of Sales, Product, Engineering, and Customer Success, balancing competing priorities while aligning diverse stakeholders around a common technical vision
Experience supporting enterprise AI, machine learning, analytics, or cloud platform deployments.
Familiarity with modern LLMs, AI agents, evaluation frameworks, retrieval-augmented generation (RAG), or enterprise AI architecture.
Experience designing secure cloud-native architectures and integrating enterprise applications through APIs.
Python experience or the ability to prototype technical workflows.
Healthcare interoperability, ERP, finance, supply chain, payer, or enterprise healthcare systems experience is strongly preferred.
