--- title: 'Knowledge Routing Engineer at Sage Care Inc' canonical: 'https://feeny.ai/job/knowledge-routing-engineer-sage-care-inc-hq-e2yk94bsp53a' type: 'job' last_seen: '2026-09-09' --- # Knowledge Routing Engineer at Sage Care Inc - **Company:** Sage Care Inc - **Location:** HQ - **Compensation:** $175k–$210k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/sagecare/8851c7f7-71ce-4153-91a5-189503fd2b5c ## Job description ## ABOUT SAGE CARE Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation. Our platform makes it easier for patients to find the right doctor and helps providers focus on those who need them most through harnessing the latest AI innovations. Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform. ## ABOUT THE ROLE Every day, our services match real patient queries, symptoms, and pathologies to providers, sites of care, and urgency. These mappings are highly complex and non-linear, ranging from queries like “back pain” to “doctor for head trauma”. Today, much of this mapping is hand-tuned and heuristic driven, leveraging some NLP tooling and medical expertise, but limited in scope and expandability. We are looking for someone to own the knowledge encoding piece of this puzzle, helping us learn from real patient data and medical diagnoses and symptoms to help us build out an encoded representation that can translate real patient requests into actionable results. This role sits at the intersection of ML/AI research and software engineering. We’re looking for someone who can help build out the core routing engine for our agent. You will work closely with engineers who work on the matching software, medical experts and professionals who can help guide an informed, encoded knowledge representation. ## WHAT YOU'LL DO Build and own the core symptom and query routing engine - Build models that can map complex queries and symptoms to urgency classifiers, providers, and specialties. - Build learned decision trees that can infer if there are necessary follow up questions to ask to gain more insight into the patient’s specific query. - Leverage insights and learning from real protocols (e.g. Schmidt-Thompson) as well as other triaging SOP’s. - Work with medical professionals to build generalizable representations of how queries and symptoms can map to body systems, specializations, and restrictions. Learn from real data - Build self-learning models that can learn and iterate from real user data and diagnoses. - Establish metrics of quality and hill climb on these to improve the model in the long term. ## WHAT WE'RE LOOKING FOR Required - 7+ years of ML engineering experience - Experience working with foundational ML models (e.g. learned decision trees, deep learning, and reinforcement learning). - Strong backend engineering skills and systems thinking - Experience working with ambiguous problems and defining solutions from first principles - Experience turning research or novel techniques into testable prototypes. ## Nice to Have - Experience with evaluation frameworks and model quality measurement - Experience with medical AI systems - Experience designing human-in-the-loop workflows for machine learning. Example Things you’ve Done - Built out self-learning decision trees to solve complex problems. - Researched and implemented foundational ML models. - Built out self-learning neural network architectures to solve real-world problems. - Leveraged Reinforcement Learning and Markov Decision Processes to learn optimal policies for online systems. ## About Sage Care Inc ## Company Overview - **One-liner**: Sage Care builds an AI-powered care navigation platform that helps health systems triage, schedule, and connect patients to the right care more efficiently. - **Entity Type**: Private (venture-backed, early-stage) - **Headquarters**: San Francisco, CA (likely – not explicitly stated; team background suggests Bay Area) - **Founded**: Not publicly available - **Founders**: Justin Ho (CEO), Dr. Caesar Djavaherian (Chief Medical Officer), Chris Blumenberg (CTO) — repeat entrepreneurs with prior exits from Carbon Health, rideOS, and Uber ## Core Business - **Primary industry/industries**: Healthcare technology (care navigation, patient access, clinical operations) - **Target customers**: Health systems, hospitals, and provider organizations (B2B) - **Mission or purpose**: “Make healthcare more efficient and scalable” by eliminating operational inefficiencies that frustrate patients and providers, and ensuring patients get the right care at the right time ([sage.care/about-us](https://www.sage.care/about-us)) ## Products & Services - **Sage (Care Navigation OS)**: An AI-powered platform that orchestrates patient calls, triage, and scheduling. Core modules include: - **AI-powered patient support**: Automates routine patient inquiries via call or text with human-like responses and SOP execution. - **Clinically informed copilot**: Provides real-time triage recommendations and automated documentation for clinical staff. - **Intelligent provider & patient matching**: Aligns patient needs with provider preferences to reduce no-shows and optimize schedules, utilization, and revenue. Product type: SaaS / API-based healthcare operations platform ([sage.care](https://www.sage.care/)) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding not publicly available; notable metrics from leadership background include scaling Carbon Health to 138 clinics and over $200M in annual revenue, and building rideOS’s dispatch system that improved Gopuff’s profitability by $450M+ annually. - **Notable Investors/Partners**: Mentioned as “backed by transformative investors” but names not disclosed. Customers include Bronson Healthcare and Jiva Health. - **Growth Signals**: Team consists of repeat entrepreneurs with $1B+ in cumulative exits; platform is “trusted by leading health care systems”; actively hiring across multiple roles. ## Competitive Advantages - **Deep clinical + AI expertise**: Founders combine frontline clinical experience (Carbon Health) with world-class engineering (Apple, Uber self-driving). - **Clinically grounded design**: Tools are built in partnership with healthcare teams, incorporating evidence-based protocols and user feedback to ensure safety and practicality. - **Human-centric AI**: Focus on empathetic, efficient interactions – not just automation – which differentiates from “clunky” alternatives (per customer quotes). ## Strategic Focus - **Current priorities**: Scaling AI-driven care navigation to reduce administrative burden, improve patient access, and drive operational efficiency for health systems. Expanding platform capabilities and deepening integrations with existing health system workflows. - **Direction for growth**: Continuing to invest in AI that “eases staff workload” and “gets patients to the right care faster,” with an emphasis on evidence, safety, and transparency. ## Why Work Here - **Culture highlights**: Described as “a culture of innovation and impact” where employees tackle “complex, meaningful problems with real healthcare impact.” Values include collaboration over individual credit, intellectual curiosity, and a commitment to improving healthcare. - **Remote/hybrid/office policy**: Not explicitly stated; job postings (via Ashby) and language like “We’re looking for people who care deeply” suggest a remote-friendly or hybrid environment typical of early-stage tech. - **Notable perks**: “Competitive compensation and comprehensive benefits” are called out on the careers page. Team includes former engineers from Apple, Uber, and Carbon Health, offering a steep learning curve in AI and healthcare. - **Engineering culture**: Emphasis on building “systems that are clinically grounded” and “shaped by user feedback” – a blend of technical rigor and real-world impact. ## Sources 1. [sage.care/careers](https://www.sage.care/careers) 2. [sage.care/about-us](https://www.sage.care/about-us) 3. [sage.care](https://www.sage.care/) 4. [sage.care/our-team](https://www.sage.care/our-team) 5. [jobs.ashbyhq.com/sagecare](https://jobs.ashbyhq.com/sagecare) ## Other roles at Sage Care Inc - [Product Manager, Agent Intelligence](https://feeny.ai/job/product-manager-agent-intelligence-sage-care-inc-hq-0evy52m3jmvn) — HQ - [Epic Integration Engineer](https://feeny.ai/job/epic-integration-engineer-sage-care-inc-hq-vhwt1mx04tw8) — HQ - [Data Engineer](https://feeny.ai/job/data-engineer-sage-care-inc-hq-sa6wqnqt818v) — HQ - [Data Analytics Engineering](https://feeny.ai/job/data-analytics-engineering-sage-care-inc-hq-te0vp89d688t) — HQ - [Software Engineer, AI Research & Prototyping](https://feeny.ai/job/software-engineer-ai-research-prototyping-sage-care-inc-hq-ds3hfbtwepcy) — HQ - [Cloud Engineer](https://feeny.ai/job/cloud-engineer-sage-care-inc-hq-cxw1za6h5n81) — HQ - [Founding Product Designer](https://feeny.ai/job/founding-product-designer-sage-care-inc-hq-hm0ytzxg8h82) — HQ - [Frontend Engineer - Platform Architecture](https://feeny.ai/job/frontend-engineer-platform-architecture-sage-care-inc-hq-z0mqh3n7sgm7) — HQ - [Software Engineer, Agent Platform](https://feeny.ai/job/software-engineer-agent-platform-sage-care-inc-hq-apfn1pttg18y) — HQ - [Software Engineer, Voice AI](https://feeny.ai/job/software-engineer-voice-ai-sage-care-inc-hq-fyrfqsxfkepv) — HQ