💡 MissionThe US healthcare system is complex, error-prone, and financially draining. Medical bills and insurance coverage shouldn’t be this hard to navigate. At Granted, we’re building the one solution every American can turn to for help. Thanks to AI and new regulations, Granted can fight claim denials, correct billing errors, negotiate bills, and make coverage easier to understand—saving people time, money, and stress. Our goal is simple: to be the #1 platform that empowers all Americans to take charge of their healthcare. 🩺 About UsFounded by a former Oscar Health leader, we’re a seed-stage company with $17M in funding. We’re lucky to be backed by the founders and investors at Hugging Face, Rocket Money, Oscar Health, CaseText, Forerunner Ventures, RRE Ventures, and more. We are well-funded for the next few years. 👉 Curious about our engineering culture + tech stack? Check out this write-up. Location: While parts of our engineering team operate remotely elsewhere in the US, we strongly encourage New York–based applicants who are excited to engage in a more in-person hybrid dynamic. Local employees typically work from our Chelsea office Monday through Thursday, with Fridays working from home. 🔎 About the RoleThe Automations pod turns complex healthcare case work into scalable, agentic workflows — driving automation coverage, lowering cost to serve, and ensuring users get fast, accurate outcomes without needing to navigate the system themselves. As an engineer on this team, you’ll help build the intelligence layer behind these workflows — designing distributed systems, integrating AI models, and ensuring everything runs reliably at scale. 🚀 What You’ll Do - Design and build scalable systems and APIs that power agentic workflows from case activation through resolution. - Push the frontier of AI-driven engineering, working on prompt orchestration, agent frameworks, and model evaluation loops. - Collaborate closely with Product, Engineering, and domain experts to translate complex healthcare processes into reliable automations. - Architect systems for scale and reliability, ensuring human escalation pathways are transparent and seamless. - Play a key role in shaping the pod’s technical strategy, and mentor others as the team grows. 🧪 What You Might Work On - Creating and optimizing AI pipelines to identify, categorize, and resolve errors in medical billing and insurance claims. - Building automated agents and backend services that handle complex case flows with minimal human intervention. - Integrating domain-specific healthcare knowledge into models and decision engines to improve accuracy. - Developing tooling and infrastructure to measure and improve AI performance in real-world scenarios. 👩‍💻 We'll be most excited if you - Bring 9+ years of backend engineering experience, ideally building production systems at scale. - Are deeply curious about AI — from prompt engineering and agent orchestration to model evaluation. - Excel at designing pragmatic solutions to complex technical challenges. - Communicate clearly and collaborate effectively across disciplines. - Thrive in high-autonomy, fast-moving environments. - (Bonus) Have experience with healthcare data, product engineering, ML systems, or web crawling. - (Extra bonus) Have 10+ years of GPT-5 experience — or, failing that, a good sense of humor. 📢 You don't need to check every single box—if you're passionate, driven, and excited about the impact AI can make on the healthcare system, we'd love to hear from you! Granted is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, protected veteran status, disability, or any other legally protected characteristics. We are also committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation during the application or interview process, please contact us.

• Design, build, and deploy AI agents tailored to the needs of all internal teams (Ops, Partner Management, SEA, Finance, and more) • Take ownership of our AI-driven lead qualification processes, including existing Voice AI Agents used to qualify inbound leads • Continuously improve qualification performance through systematic A/B testing and iteration • Use tools like Lovable to build, extend, and improve internal tools — fast and pragmatically • Turn manual processes into slick, automated solutions • Manage and evolve our internal AI stack • Enable every team member to leverage AI effectively in their daily work — through documentation, training, and hands-on support • Build and maintain automation workflows using Zapier and Make to eliminate bottlenecks across the company • Set up and manage webhooks and API integrations to ensure seamless system communication

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The Role: Cedar is seeking an AI Engineer/Applied Scientist III to join our team and help build and optimize product features powered by generative AI. Our goal is to use AI to drive bill clarity for patients and streamline workflows for our customers, which are large healthcare systems across the US. This role is for the Support/Kora squad, where you will work on Kora, an AI Voice Agent purpose-built for patient billing, which is the central product for our Cedar Support offering. In this role, you will develop a deep understanding of Cedar’s data and workflows and utilize your skillset in rigorous data analysis combined with production-level coding and rapid execution to design, build, and improve the AI workflows that solve problems for patients via the voice medium. Responsibilities: - Build and enhance features for our AI Voice Agent, Kora – utilizing your skillset in production-level coding as well as prompt and context engineering. - Design robust experiment plans that deconstruct large goals into small testable hypotheses. Execute these plans through iterative development cycles where you ship new features, evaluate how your features work with real patients, and continue to improve and optimize Kora’s behavior to better meet the needs of patients and providers. Through it all, you’ll display a strong ownership mentality, product mindset, and user experience focus. - Dive into unstructured data with finesse and rigor, combining quantitative and qualitative approaches to solve complex problems. This data can include call transcripts, patient account details, and more. - Partner closely with other scientists, engineers, designers, and product counterparts to solve problems as a team - Amplify your programming skillset with AI-enabled coding, as our internal AI agent(s) help us to improve and optimize Kora at a pace that we could not achieve on our own - Work in a fast-paced environment where we cheer each other on as we find small ways to make the patient experience a little bit better every day, while we work towards our ultimate goal to transform the healthcare financial experience What this role IS NOT: - Not machine learning modeling: You will not be training models from scratch; instead you will be leveraging Foundation model APIs and Agent SDK platforms to develop impactful AI Agent systems - Not a pure "science" or "research" role: In this "end-to-end" role, you will implement your solutions in our production codebase (while effectively leveraging AI coding assistants as part of your toolkit), and your focus will be on making direct impact on our product's performance - Not pure software engineering: You won't just be engineering straightforward solutions with pre-defined requirements. Instead, you'll develop structured experimentation plans and break down complex problems into testable hypotheses that you launch in an iterative fashion, to rapidly make impact while observing real user behavior to learn what works and what doesn't - Not a role for those who want to stick to a narrow area of expertise: You will combine your technical skillset with product and design thinking, to work across boundaries and create the solutions that matter -- regardless of whether the particular task represents engineering, data science, product, or something in-between! Skills and Experience: - 3 or more years of full-time experience working in a structured product development environment on a product that had frequent releases (i.e., regular updates with enhancements, bug fixes, and new features) - Experience collaborating with partners from different job functions, and the ability to translate business requirements into technical builds - A strong understanding of both the scientific method and software engineering principles, with a proven ability to balance experimental rigor and rapid production deployment - Experience with modern programming languages (in this role, you’ll use both Python and Typescript), as well as experience with AI-enabled coding - Ability to thrive in an entrepreneurial environment, showing a tendency toward speed and action while achieving clarity from ambiguity - A passion not only for AI, but also in the application of AI to solve real problems for real users. If you are a match for this role, you’ll feel comfortable diving deep into the data to figure out the best way to solve a particular user problem, sharing your findings, incorporating updates based on feedback, and implementing your solution in code. Ultimately doing all of this to make a tangible difference for users - You are excited by the opportunity to use your combined skillset in data science and AI engineering to make a true impact on patient lives Compensation Range and Benefits - Salary/Hourly Rate Range*: $170,000 - $215,000 - This role is equity eligible - This role offers a competitive benefits and wellness package *Subject to location, experience, and education What do we offer to the ideal candidate? - A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year - Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you - For exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge - 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work - Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) - Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.

Role DescriptionHow many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities - Manage and scale a high performing team of data scientists - Coach and mentor data scientists of varying experiences to ensure their continued growth - Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment - Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written - Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate - Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth - Identify what matters most and prioritize ruthlessly Requirements - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company - 3+ years of experience directly managing data scientists or product analysts - Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact - Deep understanding of statistical analysis, experimentation design, and common analytical techniques - Experience using data to inform product and business decisions that led to measurable outcomes - Exceptional verbal and written communication skills Preferred Qualifications - Experience in startups or building 0→1 products - Expertise in using data to inform AI/ML product development - Background in SaaS product CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $210,400—$284,600 USD US Zone 3 $187,000—$253,000 USD