Vi

Vi is an enterprise AI platform for health enterprises – healthcare, biopharma, and wellness. We deploy agentic AI and predictive models into production environments where the output drives the next best actions for patients, care teams, and operations to deliver ROI and improve health outcomes. The Vi Platform is the shared layer under every Vi application. It turns data, models, agents and compliance into services that every product uses to onboard clients, reach patients and measure results, so a capability is built once and reused everywhere. We are looking for a senior data scientist to take those services from idea to production, and to keep them running as they grow. You will be part of the Vi Platform team, reporting to the VP of R&D. This is a hands-on IC role at the crossroads of data science, software engineering and cloud infrastructure: you design the service, you build every layer of it, you ship it, you measure what it does for the products that use it, and you maintain and extend it with the features its users need. Responsibilities Train and evaluate models on tabular data: Turn patient- and member-level tabular data – claims, clinical, engagement and vendor feeds – into features, labels and models (gradient boosting, tabular foundation models, embeddings), with an evaluation harness that defines what "good" means before a product feels a change. Own services end to end: From a one-page design through API, SDK, UI and infrastructure to production, built to the platform's service standards: tested at every level, auto-deployed on merge, with live status and cost per job. Build data services at scale: Spark and EMR jobs over the lakehouse, orchestrated in Airflow, that resolve identities, join vendor feeds and score millions of records per run, and that get faster and cheaper with every release. Put models and LLMs into production: Foundation model, embedding, classification and agent services, each with an evaluation harness behind it, so a model change is measured before a product feels it. Build the full stack: Backend services, web consoles and SDKs that an engineer, a product team or an agent can use self-serve, with a user guide for people and a playbook for agents. Run what you ship: Monitoring, alerting, retries and cost per job. You are the first responder when your service is red, and you announce every release to its users with measured numbers. Work AI-native: AI coding agents are part of how we build every day. You drive them, review their output critically, and build services that agents consume as easily as people do. Requirements 4+ years of hands-on data science experience, with a track record of training, evaluating and shipping models that run in production as a hands-on IC. Data science and ML in production: Building and evaluating models (tabular, embeddings, LLM-based), deciding what "good" means for a service, and measuring it. Data engineering at scale: Python, SQL and Spark on AWS (EMR, Athena, Glue, Iceberg), workflow orchestration (Airflow), and performance work on large joins and feeds. Tech Stack: AWS, Docker, CI/CD, and monitoring; you own the infrastructure of your service, not just the code. Agentic workflows: Designing, shipping and evaluating multi-step LLM agents that call tools, models and data services to get real work done, with evals that catch regressions before users do, and an AI-first way of working with coding agents as a daily tool. High ownership and velocity: You scope, design, build, ship and support without a hand-off. You write the design doc and the user guide, and your work stands up to a review.

Vi is the market-leading Enterprise-AI platform for health. We serve some of the world's largest health organizations, from Fortune 500 healthcare providers to pharma and consumer brands, and help them maximize acquisition, enrollment, engagement, retention and health outcomes. Vi Activate is a productized data solution, outputting Precision Targeted Audiences for paid media marketing to reduce marketing waste and drive meaningful client KPIs more effectively. As a Vertical Delivery Lead on the Activate Squad, you'll own delivery for the Pharma vertical from start to finish: the audiences we build, the deliverables clients receive, and the performance those audiences drive once they are live in-market. Activate audiences are deployed across paid media channels, so success here depends on understanding how media actually performs. You'll pair strong media and data skills with technical agility to spot problems early, diagnose root causes and drive fixes. You'll work closely with our US-based Client Performance, Deployment and Account Management teams, and join client conversations as the delivery expert, alongside the client-facing lead. This role is for someone who takes full ownership, leads with solutions and works AI-native by default. Key Responsibilities: Audience Strategy, Delivery & Quality: Own the creation, delivery and optimization of Vi audiences for your vertical, from translating client use cases into audience requirements through build, QA and deployment handoff. Serve as the final quality bar for all client deliverables. Measurement & Data Requirements: Define the POC measurement framework with Client Performance, validating the right methodology (geo-split, holdout, attribution) and success metrics before launch. Own data requirements, ingestion, geo-split validation and internal reporting, collaborating closely with the Squad on dashboard setup and maintenance, and streamline data sharing for low-friction partner collaboration. Performance Monitoring & KPI Accountability: Monitor audience-level performance across Meta, TikTok, Programmatic and other channels, and own monthly (or more frequent) optimizations. Share accountability with Deployment and Client Performance for exceeding client KPIs. Cross-Functional Collaboration: Partner daily with US-based Client Performance, Deployment and Account Management teams, while supporting the Client Performance lead on client calls to communicate audience strategy, measurement approach & data-driven optimizations. Keep ownership, deadlines and next steps clear, and escalate blockers with a proposed solution. Technical Problem Solving & Product Feedback: Work hands-on with Deployment and Data teams to troubleshoot audience onboarding, match rates, pixel and measurement issues. Be intentional about turning recurring issues into clear product feedback and process improvements, tied to measurable outcomes. Requirements Paid Media Expertise: Strong hands-on understanding of paid media channels, including Meta, TikTok, Programmatic/Display and Search. You know how audiences are onboarded, targeted and optimized in each, with 4+ years of experience launching, analyzing or optimizing paid digital campaigns. Solid grasp of media performance dynamics (match rates, reach and frequency, bidding, creative, attribution), and able to tell whether results reflect the audience or the media setup. Data Fluency & Measurement Expertise: Extremely analytical and data fluent. You can design and validate measurement methodologies (geo-split, holdout/incrementality, attribution), define data requirements and set up reliable data flows. Technical Agility & AI-Native Mindset: Comfortable navigating unfamiliar technical concepts and tools, with the ability to learn, adapt, and get up to speed quickly. You're curious, resourceful, and willing to get hands-on to understand how things work and solve problems. You already use AI tools daily to automate and scale how work gets done. Ownership & Solution Orientation: You take full ownership of outcomes, not just tasks. Dependencies don't become excuses: you bring options and a recommendation, and drive work to decisions and next steps. You thrive in a fast-paced startup environment and operate well in ambiguity. Collaboration & Communication: Excellent written and verbal communicator who builds trust across teams and time zones. Comfortable presenting to clients and explaining technical topics simply. Preferred Qualifications: Pharma & Healthcare Experience (Advantage): Experience in pharma or healthcare marketing, especially reaching patients and caregivers across Clinical (trial recruitment), Commercial and Disease State Education campaigns. Working knowledge of healthcare data (claims, diagnosis and treatment signals) and its privacy and compliance considerations.

Vi is an enterprise AI platform for health enterprises – healthcare, biopharma, and wellness. We deploy agentic AI and predictive models into production environments where the output drives next best actions for patients, care teams, and operations to deliver ROI and improve health outcomes. Data Web is the data foundation under the platform – the third-party health and consumer data we license, resolve, and turn into assets our customers and our models run on. We are looking for an AI Engineer to own that path end-to-end, from ingestion and identity resolution through features, retrieval, and production delivery, and to own the read on what comes out of it. Reporting directly to the VP of R&D, the AI Engineer is a hands-on IC role at the crossroads of data science and data engineering. You build the data, you build the AI that runs on it, and you judge the result. Responsibilities Build and own data pipelines: Monitored ingestion for high-volume third-party health and consumer feeds. Put AI to work on the data itself: LLMs and ML for parsing, normalizing, classifying and matching. Build the feature and retrieval layer: Versioned features, embeddings and retrieval our models and agents run on. Evaluate: Implement evaluation frameworks, benchmarks, and metrics to track performance. Build across the stack: Builder mindset – comfortable with Backend services and internal tooling. Do the first read on what you build: Is there signal, and what is this asset good for and turn data assets into products. Partner cross-functionally: Turn product, client and compliance requirements into production systems. Requirements 3+ years of overall software experience, including background in Data Science, ML modeling, and shipping production-grade data systems. Production AI & Data Science: experience building ML/DS models, evaluating data signals, and deploying the underlying data systems required to run them in production. Production LLM & AI Engineering: Hands-on experience shipping LLM capabilities combined with an AI-first development workflow. ETL/ELT pipelines and Lakehouse architectures using Python, SQL, Spark on AWS (Glue, EMR, Athena, Iceberg). Software & DevOps: Strong backend engineering fundamentals, CI/CD, Docker, workflow orchestration, and Infrastructure as Code (AWS CDK/CloudFormation). High Ownership & Velocity: High agency, a strong sense of urgency, and full lifecycle ownership of production systems from architecture to monitoring.

Vi is the market-leading Enterprise-AI platform for health, serving the world’s largest health organizations – from Fortune 500 healthcare providers to pharma and consumer brands – helping them turn their data into patient and operational ROI. Vi’s platform is backed by $150M+ in R&D, serving over 188 million members daily and growing profitably. We operate across New York, Austin, Nashville, and Tel Aviv and are looking for a highly motivated and skilled Talent Acquisition Specialist to join our team. This role requires a combination of intelligence, creativity, agility, and strong problem-solving and execution skills to help us identify and attract top talent. Responsibilities Lead end-to-end sourcing efforts, identifying high-potential candidates across various channels Utilize advanced sourcing tools and techniques to proactively build strong talent pipelines Apply creative, out-of-the-box thinking to identify candidates for challenging roles Own and optimize the full recruitment lifecycle, from sourcing to offer stage Develop and implement scalable recruiting processes across multiple functions Serve as a trusted partner to hiring managers and the CEO, advising on talent strategy and workforce planning Proactively reach out to passive top talent using diverse sourcing strategies and AI tools Requirements At least 5 years of hands-on experience in full-cycle recruitment, including sourcing. Proven natural intelligence and problem-solving of complex operational and execution tasks Bachelor’s degree in Human Resources, Business Administration, Social Work, or a related field. Proficient in utilizing various sourcing channels, tools, and platforms to identify and engage potential candidates Strong ability to assess and evaluate candidate profiles to ensure alignment with job requirements, company culture, and values Excellent communication, interpersonal, and relationship-building skills Experience in using data analytics and metrics to measure the effectiveness of sourcing strategies