Role Description We’re looking for an AI Operations Lead to accelerate our transition to a native AI business. This is a hands-on applied AI role, not an AI research role. You’ll work across Product, Sales, Customer Success, Marketing, Operations, and Support to: - Identify manual workflows - Map messy business processes - Build AI-powered automations and copilots - Drive adoption across the teams that use them every day You’ll be part product operator, part business operations problem-solver, part data analyst, and part AI-native builder. You should be comfortable moving from workflow discovery to prototype to rollout quickly, using tools like: - ChatGPT - Claude - Cursor - n8n - Zapier - Make - Retool - Notion - SQL - BI tools - APIs - Internal systems The goal is not just to increase AI usage, but to help every team build the muscle for using AI instinctively, safely, and effectively to: - Move faster - Improve quality - Create more operating leverage We’re looking for someone with high agency, strong judgment, and a builder mindset, who can turn ambiguous operational problems into practical AI workflows that people actually use. Qualifications - 3–6 years of experience in product operations, business operations, revenue operations, strategy, technical program management, solutions, automation, data, or a similar role - Demonstrated experience using AI to build, ship, automate, or materially improve work in a prior role, project, or team - Strong fluency with modern AI tools such as ChatGPT, Claude, Cursor, Claude Code, Codex, or similar AI-native development environments - Technical comfort with low-code/no-code tools, workflow automation platforms, SQL, BI tools, APIs, scripting, or systems integrations - Strong operational empathy, with the ability to partner closely with business teams, understand their day-to-day work, and build solutions they actually adopt - Excellent communication skills, including the ability to write crisp documentation, lead engaging trainings, and persuade teams to change how they work - Analytical and data-driven approach to identifying, prioritizing, measuring, and improving AI-enabled workflows - High ownership, strong urgency, and comfort operating with autonomy in ambiguous environments - Strong product judgment, including knowing when to prototype, when to automate, when to involve Engineering, and when to kill an idea - Bias toward hands-on building over strategy-only work - Passion for AI, automation, operational excellence, and helping teams build durable leverage Requirements - Deploy AI-powered automations, copilots, and agentic workflows across a focused set of non-engineering teams within your first 6–12 months - Partner with teams across Product, Sales, Customer Success, Marketing, Operations, and Support to deeply understand workflows, bottlenecks, edge cases, and success metrics - Map existing business processes and identify opportunities where AI can reduce manual work, improve quality, accelerate decision-making, or create better customer experiences - Build workflows using tools such as ChatGPT, Claude, Cursor, n8n, Zapier, Make, Retool, Notion, SQL, BI tools, APIs, and internal data sources - Orchestrate integrations between AI tools and core business systems such as CRM, support platforms, marketing automation tools, product analytics, databases, and internal reporting systems - Measure impact through dashboards, QA checks, usage metrics, time savings, accuracy, adoption, and stakeholder feedback - Iteratively improve deployed workflows based on user behavior, qualitative feedback, and performance data - Enable team members to use AI effectively in their daily work through training, documentation, templates, office hours, and hands-on coaching - Identify and coach internal AI champions who can help scale adoption within their teams - Create reusable playbooks, prompts, templates, and workflow patterns that make AI adoption repeatable across the company - Work with Product and Engineering when AI workflows need deeper technical support, productization, or integration into customer-facing systems - Stay current on emerging AI tools, agentic workflow platforms, and automation patterns, and translate that knowledge into practical business impact Benefits - Remote-First: Freedom to work from home across most of the U.S. with flexibility balanced with high-energy in-person offsites - Competitive Compensation: Competitive salary that reflects your impact and expertise - Paid Time Off: Flexible vacation policy and dedicated paid parental leave - Your Health Matters: High-quality Medical, Dental, and Vision insurance plans for you and your family - Peace of Mind (On Us): 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance - Protection for Your Whole Crew: Access supplemental insurance for unexpected events and specialized coverage for pets - Invest in Your Future: 401k Program to help you build for the long term

• Develop a comprehensive data strategy aligned with organizational goals. • Establish plans for data quality, catalog, privacy, compliance and security. • Assess the client ecosystem regarding data providers and platforms and critical business data. • Work on data products, monetization, and sharing strategies. • Ensure adherence to strategic plans and manage risks. • Monitor client relationships to ensure maintenance and expansion. • Organize roles and responsibilities for effective project outcomes. • Identify opportunities for new data products through research and feedback. • Support business processes to foster a data-oriented culture. • Help clients recognize the value of data in their strategic objectives. • Provide support to clients in creating tailored data solutions, such as Data Platforms, Data Visualization, AI Models, and Generative AI applications.

Role Description Join Function Health as our Head of AI, where you'll define and execute a cutting-edge AI roadmap, lead advanced research initiatives, and shape the future of health technology. You will collaborate with senior leadership and cross-functional teams, mentor a world-class AI team, and apply emerging techniques to solve complex challenges. With a focus on innovation, technical excellence, and impactful solutions, this role offers the opportunity to make a lasting difference in healthcare. This role is best suited for those energized by fast-paced environments, excited to build in a high-growth setting, and deeply motivated by our mission at Function. If you're looking for meaningful challenges, dynamic work, and the opportunity to make a real impact—we’d love to meet you. Key Responsibilities - Strategic AI Leadership and Vision: Define and lead a visionary AI roadmap that drives innovation, integrates cutting-edge research into products, and fosters a culture of strategic problem-solving. - Deep Research Orientation: Stay at the forefront of AI advancements, applying emerging techniques like generative AI and knowledge graphs to address challenges and integrate research into practical, impactful solutions. - Team Development and Leadership: Mentor and guide a multidisciplinary AI team, fostering collaboration, innovation, and a focus on long-term, research-driven goals. - Innovation and Technical Excellence: Lead efforts to ensure AI applications are innovative, trustworthy, and compliant with regulations, while shaping the organization's approach to sustainable AI development. - Strategic Planning and Execution: Design and refine a long-term AI roadmap, anticipating market trends and identifying risks and opportunities to keep the company ahead in AI adoption. - Cross-Functional Collaboration and Communication: Collaborate with senior leadership, product teams, and domain experts to align AI strategy with business and clinical priorities, effectively communicating strategic direction and research insights. Qualifications - Expertise: Proven experience as a technical lead managing teams of researchers, data scientists, or engineers, with 10+ years of expertise in data science, deep learning, expert systems, generative AI, and machine learning; or 5+ years of experience with a relevant PhD. - Problem-Solving & Innovation: Strong analytical skills with a proven ability to innovate and apply AI creatively to solve complex healthcare problems. Demonstrated expertise in staying ahead of AI trends and leveraging emerging tools to maintain industry leadership. - Ethical Understanding: Commitment to developing responsible AI tools, particularly in healthcare, with a strong understanding of and willingness to implement regulations such as HIPAA and relevant data privacy laws. - Leadership: Proven ability to drive vision and direction for AI teams, aligning goals with organizational objectives. Experienced in building and leading multidisciplinary teams while fostering a culture of innovation and collaboration. - Communication and Teamwork: Proven ability to effectively communicate complex AI concepts to non-technical stakeholders, including executives. Strong collaboration skills with departments such as product development, regulatory affairs, and marketing to align AI solutions with company direction. Nice-to-Have Skills and Experiences - Start-Up Experience: We highly value individuals with start-up experience, especially former founders or early engineering hires. This experience indicates a versatile skill set and an ability to thrive in fast-paced, evolving environments. - Familiarity with Health Technologies: Knowledge of or experience with popular health technologies, such as Oura, Whoop, Apple Watch, and CGMs (Continuous Glucose Monitors). An interest in or experience with health and wellness technologies suggests a passion for leveraging technology to improve personal and community health outcomes. - Multimodal AI Expertise: Knowledge of integrating diverse data types, such as imaging, genomics, text, and sensor data, into AI pipelines for comprehensive solutions. - Cloud & Edge AI Deployment: Experience in deploying AI solutions on cloud platforms (e.g., AWS, Azure, Google Cloud) and/or edge devices. Core Values - Ruthless Prioritization: We don’t let perfect get in the way of progress. We move quickly to drive value, not perfection. We prioritize what drives impact. We never compromise on standards of excellence. - Member-First, Always: We design and deliver like we’re caring for someone we love. We create calendar, actionable, human experience. We prioritize responsiveness, peace of mind, and outcomes. We empower members with truth, clarity, and care. - One Team, Moving Fast: We are aligned in purpose, prioritization, and speed. We gather diverse perspectives to make informed decisions. We clear paths for each other and move fast together. We communicate clearly and respectfully, rallying around shared goals. - Radical Ownership, Relentless Execution: We don’t just ship– we own outcomes and drive results. We act with urgency and precision. We anticipate, initiate, and follow through. We meet challenges with grit and pragmatism. We embrace new tech to deliver better outcomes. - Mission Over Ego: We are ruthlessly aligned to our mission– and leave ego at the door. We disagree and commit. We don't tolerate politics or withholding information. We operate with honesty, transparency, and respect. - Sustained Integrity in Every Detail: We earn trust by obsessing over accuracy, quality, and clarity in everything we do. We prioritize clinical precision– data must be right. We sweat the details because outcomes depend on them. Benefits - Competitive salary and benefits package - Flexible working hours - Dynamic work environment where creativity and innovation are encouraged

Role Description We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions. This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments. You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready. What You'll Own - AI Systems & Model Development - Lead design and development of AI/ML models for prediction, decisioning, and automation - Build AI agent systems using LLMs and structured financial data - Define model architecture, training approach, evaluation, and iteration cycles - Improve model performance across accuracy, reliability, and explainability - Data Infrastructure & Engineering - Build and scale data pipelines supporting real-time and batch processing - Design data architecture for structured and unstructured financial data - Ensure data quality, consistency, lineage, and security - Support integration of multiple data sources across banking workflows - Production Deployment & Scalability - Deploy models into production environments with high reliability and uptime - Ensure systems meet enterprise requirements (latency, scalability, observability) - Build monitoring systems for model drift, performance, and anomalies - Work closely with engineering to operationalize AI features at scale - Financial Use Cases & Domain Intelligence - Translate financial workflows into AI-driven systems - Build models for use cases such as: - risk scoring - credit decisioning - fraud detection - customer behavior prediction - Work closely with product and domain experts to ensure real-world applicability Qualifications - Experience building and deploying production ML/AI systems - Strong background in machine learning, data engineering, or applied AI - Experience working with large-scale datasets and model pipelines - Hands-on ability to design and ship systems (not just research) - Strong understanding of model evaluation and system performance Requirements - Experience with LLMs, agent-based systems, or foundation models - Background at leading AI, infrastructure, or data companies - Experience in fintech, financial data, or regulated environments - Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.) - Experience building systems from early-stage to production scale Benefits - High-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions - Ownership of the technical backbone of the platform - Direct influence on how AI is applied in real banking environments Company Description Reports to: CEO / CTO