Assured

Overview The Licensing Team Lead is responsible for managing and overseeing the day-to-day operations of the Licensing department. This role ensures compliance with U.S. federal and state regulations for healthcare provider licensing, as well as organizational policies and procedures, while leading a team of Operations Associates (i.e. licensing specialists). Responsibilities Supervise and manage the Licensing team, including hiring, training, performance evaluations, and scheduling. You’ll be the direct manager for a team that is responsible for hitting daily and weekly targets, constantly driving towards improved performance of our file processing as volume grows. Responsible for the growth paths and success of your direct reports which includes Operations Associates (OAs), focusing on both individual and team metrics. Hold weekly 1:1 meetings with the OAs on your team to review file quality and throughput, any blockers, ideas for improvement, and professional development. Lean in with lower and middle performers to coach them on improving their file quality and production. During company performance reviews, you will coordinate with leadership to determine performance ratings for the OAs on your team and deliver performance review conversations for your team members. Host daily standups with your team to cover previous day’s performance and the plan for current day. Additionally, conduct a review on performance from the last week with the team. Ensure timely and accurate Licensing and Renewals of healthcare providers. Maintain and update the Licensing database and provider files. Monitor compliance with regulatory requirements and accreditation standards (e.g., State Boards, DEA). Develop and implement Licensing policies and procedures. Serve as a resource and point of contact for Licensing-related inquiries. Prepare reports and present Licensing metrics to management. Collaborate with other departments, such as Human Resources and Compliance, on Licensing matters. Stay current on industry trends and changes in Licensing regulations. Work to help onboard new hires; educating and supporting new team members as they train, and eventually you will be involved in the hiring process for new LAs who join your team. Qualifications And Competencies Any graduate or post-graduate degree Minimum 3 years of experience in U.S Healthcare system, provider and facility Licensing. At least 2 years of experience in a supervisory or leadership role. Knowledge of Physician, Nursing, and other licensing processes. Familiarity with State, Federal, and other regulatory requirements. Strong organizational, communication, and problem-solving skills. Knowledge of Microsoft Office and Google applications (Google Doc, Spreadsheets, Forms, Calendar) A strong track record of juggling multiple initiatives and clear ability to prioritize the most important things Reporting Structure Reports to: Licensing Manager/Associate Director Direct Reports: Licensing Specialists (3 to start)

Overview The Credentialing Team Lead is responsible for managing and overseeing the day-to-day operations of the Credentialing department. This role ensures compliance with U.S. federal and state regulations, as well as organizational policies and procedures while leading a team of Operations Associates (i.e. credentialing specialists). Responsibilities Supervise and manage the Credentialing team, including hiring, training, performance evaluations, and scheduling. You’ll be the direct manager for a team that is responsible for hitting daily and weekly targets, constantly driving towards improved performance of our file processing even as volume grows. Responsible for the growth paths and success of your direct reports which includes Operations Associates (OAs), focusing on both individual and team metrics. Hold weekly 1:1 meetings with the Operations Associates on the Credentialing team to review file quality and throughput, any blockers, ideas for improvement, and professional development. Lean in with lower and middle performers to coach them on improving their file quality and production. During company performance reviews, coordinate with leadership to determine performance ratings for the OAs on your team and deliver performance review conversations for your team members. Host daily standups with your team to cover previous day’s performance and the plan for current day. Additionally, conduct a review on performance from the last week with the team. Ensure timely and accurate credentialing and re-credentialing of healthcare providers. Maintain and update the credentialing database and provider files. Monitor compliance with regulatory requirements and accreditation standards (e.g., NCQA, Joint Commission). Develop and implement credentialing policies and procedures. Serve as a resource and point of contact for credentialing-related inquiries. Prepare reports and present credentialing metrics to leadership. Collaborate with other departments, such as Human Resources and Compliance, on credentialing matters. Stay current on industry trends and changes in credentialing regulations. Work to help onboard new hires; educating and supporting new team members as they train, and eventually you will be involved in the hiring process for new OAs who join your team. Qualifications And Competencies Any graduate or post-graduate degree Minimum 3 years of experience in U.S Healthcare system, provider and facility Credentialing. At least 2 years of experience in a supervisory or leadership role. Knowledge of CAQH Familiarity with NCQA, Joint Commission, and other regulatory requirements Strong organizational, communication, and problem-solving skills Knowledge of Microsoft Office and Google applications (Google Doc, Spreadsheets, Forms, Calendar) A strong track record of juggling multiple initiatives and clear ability to prioritize Reporting Structure Reports to: Credentialing Manager/Associate Director Direct Reports: Operations Associates

Location: Chennai, India / Remote-friendly The Role We are seeking a passionate and driven Product Manager to take ownership of our core product offerings. In this pivotal role, you will be responsible for the end-to-end product lifecycle, from high-level strategy to hands-on execution. You will be the bridge between our customers' needs, our insurance partners' capabilities, and our engineering team's execution. The ideal candidate is a strategic thinker with a strong technical aptitude and a relentless focus on solving user problems in a complex and exciting industry. Key Responsibilities Product Strategy & Roadmap: Develop, own, and execute the product roadmap, strategy, and lifecycle for our core platform and key product lines, aligning with company goals and market opportunities. Problem Definition: Translate complex business needs and user problems into clear, well-defined problem statements, user stories, and success metrics for the engineering and design teams. Cross-Functional Collaboration: Work in close collaboration with Engineering, Design, Marketing, Operations, and Partnerships to deliver high-impact products and features that delight our users and partners. Agile Leadership: Lead the agile development process, including sprint planning, backlog grooming, daily stand-ups, and feature prioritization to ensure timely and high-quality delivery. Product Discovery & Research: Spearhead product discovery initiatives through rigorous market research, user interviews, data analysis, and competitive landscape analysis to identify new opportunities and validate hypotheses. Data-Driven Optimization: Define and analyze key performance indicators (KPIs) using analytics tools to measure product success, identify trends, and drive continuous optimization of our platform. Integration Excellence: Oversee the technical and user experience of integrations with our insurance carrier partners, client APIs, and other third-party platforms, ensuring a seamless and reliable ecosystem. Customer Advocacy: Act as the primary champion for our users and partners, embedding a deep understanding of their needs throughout the organization and fostering a product-led culture. What We're Looking For (Qualifications) 3-5+ years of product management experience, preferably in a B2B, SaaS, or API-first technology company. A proven track record of managing all aspects of a successful product throughout its lifecycle, from conception to launch and iteration. Strong technical aptitude and experience working with APIs, integrations, and complex software systems. You are comfortable discussing technical trade-offs with engineers. Fluent in agile/scrum methodologies and experience leading a development team. Excellent analytical and problem-solving skills, with a demonstrated ability to use data to drive decision-making. Exceptional communication and collaboration abilities, with the skill to articulate a product vision to both technical and non-technical stakeholders. A genuine passion for understanding customer needs and a commitment to building user-centric products. Nice to Haves Experience in Healthcare or a related regulated industry. Direct experience building products for business use cases. Experience working directly with insurance companies and healthcare systems based out of USA

About Assured is transforming the infrastructure of U.S. healthcare using intelligent automation. We’re building an AI-native system of action for provider operations to automate the most painful parts of healthcare - credentialing, licensing, and payer enrollment. These are slow, error-prone processes that cost the healthcare system billions and delay patient care. We’re backed by top Silicon Valley investors and trusted by the most innovative provider groups and health systems. This is a rare opportunity to join an elite team reimagining one of the most broken parts of healthcare - using cutting-edge ML in the real world, at scale. The Role: Data Scientist We’re looking for a full-stack Data Scientist to join us as our first dedicated data science hire. You'll partner with our AI/ML engineers and product/engineering teams to build, deploy, and scale machine learning solutions that automate key pieces of the healthcare provider lifecycle. This role is ideal for someone who thrives in early-stage environments, enjoys owning things end to end, and wants their work to have a measurable impact on an industry that desperately needs modern infrastructure. What You’ll Do ML Innovation & Research Lead the design, prototyping, and deployment of models across document processing, LLM-based automation, risk prediction, and compliance inference Apply foundation models, deep learning, and generative AI to healthcare operational data, working on real problems. Designing retrieval + LLM pipelines to interpret ambiguous state license rules and payer policy text. Scaling intelligent document intake across 100+ formats using foundation models and structured rules Collaborate closely with engineering and product to take models from concept to production Healthcare Data Integration & Insight Develop and manage data pipelines using structured and semi-structured data (e.g., provider rosters, credentialing forms, payer rules, licensing board data) Analyze large-scale customer data to derive insights that guide product decisions and customer strategy Use operational and compliance data to surface anomalies, inefficiencies, and automation opportunities Stakeholder-Facing & Thought Leadership Interface directly with customers and internal stakeholders to understand use cases and shape the right ML approach Share learnings via internal memos, external blogs, or whitepapers to grow Assured’s ML thought leadership Champion practices around reproducibility, model governance, and continuous learning Team-Building & Mentorship Mentor engineers and future data science hires; help shape the team’s technical direction Establish baseline tooling and processes for experimentation, deployment, and monitoring of ML solutions Work closely with leadership to align ML strategy with business objectives What We’re Looking For Must-Haves 3-5+ years of experience building and shipping ML or deep learning models in production Strong Python skills and fluency with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face) Deep understanding of machine learning algorithms, NLP, and modern data processing workflows Ability to design experiments, evaluate models rigorously, and iterate fast Comfortable working autonomously in ambiguous, fast-changing environments Excellent written and verbal communication for technical and non-technical audiences Preferred Graduate degree (MS/PhD) in a quantitative field (e.g., CS, Statistics, Physics, Applied Math) Experience working with healthcare, insurance, or compliance data Familiarity with AWS/GCP and production ML workflows (CI/CD, model monitoring, etc) Experience with LLMs, GenAI, and tools like LangChain, vector databases, or Retrieval-Augmented Generation Publications, blog posts, or open-source contributions in ML or AI You’ll Love This Role If You Want to lead ML projects from idea to deployment Thrive in a 0-to-1 environment and like building from scratch Care about real-world impact, especially in healthcare Enjoy building systems—not just training models Believe great ML products come from close collaboration with product, engineering, and users Why Join Assured High-impact work - Tackle bottlenecks that slow down provider access to patients Real-world AI - Work on meaningful applications of LLMs and applied ML in compliance, forms, automation, and document intelligence Cross-functional exposure - Collaborate with customers, clinical ops, engineers, and founders Early-stage upside - Equity, early influence, and a high-growth trajectory People-first culture - Remote flexibility, mental health time, and a focus on outcomes, not hours