Infinitus Systems, Inc.

AI built to make healthcare more human™

infinitus.ai

Infinitus Systems, Inc.

AI built to make healthcare more human™

infinitus.ai

HQRemote

Team Size350

Open JobsUnknown

Total Funding-

Latest Fundraise2 years ago

TL;DR

What they do: Build voice AI agents and a no-code agent builder to automate clinical and administrative healthcare calls

Headquarters: San Francisco

Founders: Ankit Jain and Shyam Rajagopalan

Employees: 350

Notable funding: $51.4M–$51.5M total with a Series C led by Andreessen Horowitz

Company Overview

Problem Domain

Automating clinical and administrative patient calls (patient access, affordability, adherence) for health systems and payors.

Founded

2019

Industry

Healthcare AI / Voice AI

Funding Track Record

Series A- 2021-02-04

$21.4M

Participants included Gradient Ventures, Quiet Capital, Firebolt Ventures, Tau Ventures and angels.

Series B

$30M

Company announcement of Series B financing.

Series C- 2024-10-23

Announced Series C led by Andreessen Horowitz; reported total funding approx. $51.4M–$51.5M.

Investor Signal

“Backed by prominent venture investors including Kleiner Perkins, Coatue, Gradient Ventures (GV), and Andreessen Horowitz; strategic participation from Memorial Hermann Health System reported.”

Founders

What we do

Join the Team

Data Scientist - AI Voice Agents

On-SiteSan Francisco, US

On-Site • San Francisco, US

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.

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.

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.

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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.

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.