Infinitus LLC
Help Build the Future of Healthcare AI
Hi! We're Infinitus - the first trusted voice AI platform transforming healthcare.
Built by ex-Googlers, startup veterans, and industry pros, our AI boosts productivity, slashes admin burden, and creates new ways to support patients with chronic conditions. We scale connections between patients, payors, and providers - empowering care teams and improving health outcomes.
The Mission
At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. Using multimodal AI, human-in-the-loop systems, and a rich knowledge graph, we've automated over
5 million calls -saving millions of hours for patients and providers.
Backed by top investors like Kleiner Perkins, Google Ventures, and a16z, we're a team that loves to challenge the status quo and move fast at the intersection of AI and healthcare.
Your Role:
We are seeking a highly skilled and impactful
Data Scientist
to join our
AI Voice Agents
team. This role is critical to understanding and systematically improving the performance, quality, and effectiveness of our conversational AI agents. You will dive deep into conversation data, define how we measure success, design and analyze experiments, and provide the actionable insights that drive our product and engineering strategy for voice automation. If you are passionate about applying data science to cutting-edge conversational AI in a mission-driven healthcare space, this is your opportunity to make a significant impact.
Your Impact: Define and Own Conversational AI Metrics:
Develop, refine, and track key performance indicators (KPIs) for our voice agents, including automation rates, task completion success, conversation quality, adherence to guidelines, and human intervention metrics. Drive Automation Quality Improvements:
Analyze conversation logs, model outputs, and user interactions to identify patterns, root causes of errors (e.g., dialogue breakdowns, misunderstandings), and key opportunities for improving automation quality and user experience. Where applicable, proactively implement improvements to voice agents Lead Experimentation and Analysis:
Design, execute, and analyze experiments to evaluate the impact of changes to prompts, dialogue strategies, underlying ML models , and knowledge retrieval mechanisms. Inform Strategy through Data:
Provide data-driven insights to guide decisions on model fine-tuning priorities, prompt optimization efforts, operator routing logic, and potential areas for new automation strategies. Analyze Specific Interaction Challenges:
Investigate complex issues like dialogue breakdown signals, the effectiveness of knowledge retrieval during calls, and performance variations across different call types or languages (e.g., evaluating readiness for Spanish/Cantonese/Mandarin). Collaborate Cross-Functionally:
Work closely with Product Managers, Machine Learning Engineers, Software Engineers, and Conversation Designers to translate insights into action, influence the product roadmap, and ensure data-driven decision-making across the team. Communicate Insights Effectively:
Craft compelling narratives and visualizations based on data to communicate findings, progress, and recommendations to technical and non-technical stakeholders. Your Skillset:
Strong desire to improve healthcare through technology and automation. Advanced degree in a quantitative field such as Computer Science, Statistics, Linguistics, Economics, Mathematics, or equivalent practical experience. 5+ years of hands-on industry experience applying data science techniques to drive product development, preferably with experience in user behavior analysis, NLP analytics, or conversational AI. Proven ability to define product or system metrics, instrument tracking, and conduct deep-dive analyses to uncover actionable insights. Expertise in experimental design (especially A/B testing), statistical analysis, and causal inference. Strong proficiency in Python and standard data science libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Statsmodels). Expertise in SQL and experience leveraging data from relational databases Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts clearly and drive decisions. Nice to Have: Familiarity with conversational AI concepts, LLMs, voice technology, or analyzing interaction/transcript data. Applicants must be authorized to work on a W2 basis; C2C vendors and agencies will not be considered at this time. Nice to Have: Experience working in a fast-paced startup environment.
Why You'll Love It Here
Hybrid work (SF office Mon/Tues/Thurs) + catered lunches Competitive salary, equity, and 401(k) Wellness stipend & great benefits (medical, dental, vision) Generous PTO & parental leave Bi-annual offsites & a collaborative, mission-driven culture What to Expect in the Interview Process
Apply & meet our recruiting team Virtual Interviews to showcase your skills Final onsite loop to meet the team and get to know us better Curious to Learn More?
Read our Blog to hear from Infinauts about what we're building Discover how our company values (CODES) guide us Follow our CEO, Ankit Jain, for industry updates
We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!
Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Hi! We're Infinitus - the first trusted voice AI platform transforming healthcare.
Built by ex-Googlers, startup veterans, and industry pros, our AI boosts productivity, slashes admin burden, and creates new ways to support patients with chronic conditions. We scale connections between patients, payors, and providers - empowering care teams and improving health outcomes.
The Mission
At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. Using multimodal AI, human-in-the-loop systems, and a rich knowledge graph, we've automated over
5 million calls -saving millions of hours for patients and providers.
Backed by top investors like Kleiner Perkins, Google Ventures, and a16z, we're a team that loves to challenge the status quo and move fast at the intersection of AI and healthcare.
Your Role:
We are seeking a highly skilled and impactful
Data Scientist
to join our
AI Voice Agents
team. This role is critical to understanding and systematically improving the performance, quality, and effectiveness of our conversational AI agents. You will dive deep into conversation data, define how we measure success, design and analyze experiments, and provide the actionable insights that drive our product and engineering strategy for voice automation. If you are passionate about applying data science to cutting-edge conversational AI in a mission-driven healthcare space, this is your opportunity to make a significant impact.
Your Impact: Define and Own Conversational AI Metrics:
Develop, refine, and track key performance indicators (KPIs) for our voice agents, including automation rates, task completion success, conversation quality, adherence to guidelines, and human intervention metrics. Drive Automation Quality Improvements:
Analyze conversation logs, model outputs, and user interactions to identify patterns, root causes of errors (e.g., dialogue breakdowns, misunderstandings), and key opportunities for improving automation quality and user experience. Where applicable, proactively implement improvements to voice agents Lead Experimentation and Analysis:
Design, execute, and analyze experiments to evaluate the impact of changes to prompts, dialogue strategies, underlying ML models , and knowledge retrieval mechanisms. Inform Strategy through Data:
Provide data-driven insights to guide decisions on model fine-tuning priorities, prompt optimization efforts, operator routing logic, and potential areas for new automation strategies. Analyze Specific Interaction Challenges:
Investigate complex issues like dialogue breakdown signals, the effectiveness of knowledge retrieval during calls, and performance variations across different call types or languages (e.g., evaluating readiness for Spanish/Cantonese/Mandarin). Collaborate Cross-Functionally:
Work closely with Product Managers, Machine Learning Engineers, Software Engineers, and Conversation Designers to translate insights into action, influence the product roadmap, and ensure data-driven decision-making across the team. Communicate Insights Effectively:
Craft compelling narratives and visualizations based on data to communicate findings, progress, and recommendations to technical and non-technical stakeholders. Your Skillset:
Strong desire to improve healthcare through technology and automation. Advanced degree in a quantitative field such as Computer Science, Statistics, Linguistics, Economics, Mathematics, or equivalent practical experience. 5+ years of hands-on industry experience applying data science techniques to drive product development, preferably with experience in user behavior analysis, NLP analytics, or conversational AI. Proven ability to define product or system metrics, instrument tracking, and conduct deep-dive analyses to uncover actionable insights. Expertise in experimental design (especially A/B testing), statistical analysis, and causal inference. Strong proficiency in Python and standard data science libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Statsmodels). Expertise in SQL and experience leveraging data from relational databases Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts clearly and drive decisions. Nice to Have: Familiarity with conversational AI concepts, LLMs, voice technology, or analyzing interaction/transcript data. Applicants must be authorized to work on a W2 basis; C2C vendors and agencies will not be considered at this time. Nice to Have: Experience working in a fast-paced startup environment.
Why You'll Love It Here
Hybrid work (SF office Mon/Tues/Thurs) + catered lunches Competitive salary, equity, and 401(k) Wellness stipend & great benefits (medical, dental, vision) Generous PTO & parental leave Bi-annual offsites & a collaborative, mission-driven culture What to Expect in the Interview Process
Apply & meet our recruiting team Virtual Interviews to showcase your skills Final onsite loop to meet the team and get to know us better Curious to Learn More?
Read our Blog to hear from Infinauts about what we're building Discover how our company values (CODES) guide us Follow our CEO, Ankit Jain, for industry updates
We're building AI agents that tackle healthcare's toughest problems and open new possibilities. Ready to join us? Let's talk!
Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.