--- title: 'Data Engineer at Sage Care Inc' canonical: 'https://feeny.ai/job/data-engineer-sage-care-inc-hq-sa6wqnqt818v' type: 'job' last_seen: '2026-09-09' --- # Data Engineer at Sage Care Inc - **Company:** Sage Care Inc - **Location:** HQ - **Compensation:** $145k–$175k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/sagecare/71758120-2c33-4110-a44a-301118642cf7 ## 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 Our products rely on management and semantic projection of data like Provider (doctor) information, Referrals, Patient charts and history, workflow SOPs, etc. The goal is to fetch this data from our partners, store it, extract high level semantic projections (knowledge) from the data and help power our key products including Provider Matching, Scheduling, Referral Recommendation engine and AI voice agents. In this role, you will own the full lifecycle of the data including User facing UI to view the data along with ability to update it when needed. This role sits at the intersection of Data management, ML/AI research and software engineering. We’re looking for someone who can help build out a scalable data management and extraction solution. You will work closely with engineers who work on the matching software, medical experts and professionals who can help guide the knowledge extraction. ## WHAT YOU'LL DO Build and own the core data management system. - Build Data fetch solutions via integration with systems like EPIC, etc. - Build flexible, scalable and efficient storage solutions that are HIPAA compliant - Build user facing UI to view and manage data Extract knowledge from real data - Build knowledge extraction layer on top of the raw data - Summarize key results from Provider notes - Extract high level important properties from raw data ## WHAT WE'RE LOOKING FOR Required - 5+ years of Data engineering experience. - Experience working with data extraction and summarization. - Experience working closely with end users in iterative fashion gathering feedback along the way. - Strong backend engineering skills and systems thinking. - Experience working with ambiguous problems and defining solutions from first principles. - Experience turning novel techniques into testable prototypes. ## Nice to Have - Experience with evaluation frameworks and quality measurement. - Experience with medical AI systems. - Experience with extraction of text/data from PDFs and Images. Example Things you’ve Done - Built extensible data storage systems for medical data across multiple partners. - Built data extraction, summarization, property tagging systems on top of structured or unstructured text. - Built UI to display, update and search on top of underlying storage. ## 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 - [Knowledge Routing Engineer](https://feeny.ai/job/knowledge-routing-engineer-sage-care-inc-hq-e2yk94bsp53a) — 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