Overview

Who we are:

Intron Health provides clinical speech recognition for 240 accents spoken in developing countries starting with Africa, providing up to 7x documentation speed up, and saving overworked doctors 3hrs per day so they can focus better on patient care. We integrate this speech-to-text technology into our EMR, further cutting over 60% of administrative paperwork, improving operational efficiency, and enabling real-time disease surveillance.

At Intron Health, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to contribute their best.

 

Work Culture:

We operate in a remote and fast-paced work environment where every team member has the autonomy to deliver on agreed goals with flexible schedules and regular team-building events to foster collaboration and innovation. We are avid learners and offer growth and clear career progression pathways, ensuring every team member achieves their full potential.

 

Employment type: 

A part-time/full-time employee who believes in our mission and is willing to grow with the company.

 

Job Overview:
We are looking for a proactive, intelligent, detail-oriented, and customer-focused Product Lead to manage our voice-based AI solutions, with a focus on working with partners, collaborators, client organizations and users to derive maximal value from cutting-edge technology, listening to, and addressing user needs. The ideal candidate will work closely with customers, engineering, and the data teams to ensure a seamless user experience while aligning the product roadmap with strategic goals. This role requires active customer engagement and data-driven decision-making.

 

Responsibilities:

• Understand user personas, needs, use-cases, objectives, and aspirations, and translate these into ongoing requirements for engineering and implementation teams,
• Manage Artificial Intelligence products, value-chain, and customers, with a focus on maximizing user value.
• Conceptualize, design, and implement, scalable and seamless customer feedback systems that help quickly identify and resolve user issues.
• Collaborate with engineering to prioritize and implement fixes, ensuring quick updates are delivered to customers.
• Spend an inordinate amount of time listening to customers, remotely and in-person in their natural environment (on site) to understand even unspoken needs and challenges.
• Gain an understanding of our proprietary massive multilingual voice dataset, connecting data quality to user experience.
• Create intelligent systems to track data quality, contributor recruitment, and retention
• Collaborate with the data team to ensure data needed to solve user problems is prioritized, accurately collected, measured, and analyzed, enabling prompt issue resolution and alignment with the product roadmap.
• Create simple but effective dashboards that track data from source, ingestion, to and model training, ensuring the research team has the right data quality and diversity to build robust and equitable speech models.
• Develop and maintain a two-year roadmap for data collection and product enhancements.
• Monitor key performance indicators (KPIs) related to product adoption and customer satisfaction.

 

Our Ideal Candidate has:

• 3-5 years of experience in product management.
• a track record of innovation– searching, curating, generating, and adapting ideas to solve new problems in uncharted territory
• Exposure to data intensive, machine learning or AI products is a plus but not required.
• Strong customer engagement skills and the ability to travel.
• Experience collaborating with engineering teams and managing data-driven projects.
• Excellent problem-solving and organizational skills.
• A keen eye for detail, diving into the minutiae to unearth easily overlooked problems
• Familiarity with voice technology, or transcription solutions is a plus.
• Not in this for the money (because we’re obviously a seed-stage startup, we don’t have it) but is ready to co-invest sweat, time, and effort for outsized returns in the future

 

How to apply: Send us your resume. Your resume should be in reverse chronological order showing the most recent experience projects first. Under each experience, kindly provide 3 to 4 bullet points describing interesting problems you solved, achievements or important lessons learned on the job. The Education/Academic qualification section should follow. The achievements/awards section should follow. Lastly, include any other information you think may be RELEVANT to the role. Please fill out the Intron application form and upload this resume here.

 

More About Intron

[Optional reading]

 

About the Founder

Tobi Olatunji is a physician turned Machine Learning Scientist with a passion for Global Health.

Tobi’s journey to starting Intron is nothing short of epic. He’s worked with big names like AWS Health AI, Enlitic Inc., and Cambia Health Solutions building intelligent Natural Language processing tools for healthcare used in Australia, Brazil, Canada, Japan, UK, and the US. Now, he’s on the Advisory Board at Harvard’s OpenNotes Lab, pushing for responsible AI in healthcare. His research spans accented speech recognition, algorithmic bias, and more, with publications in top machine learning conferences like NeurIPS, Interspeech, and EMNLP.

With a mix of medical and tech degrees, including an MBBS, an MSc in Medical Informatics, and MSc in Computer Science at Georgia Tech, a certificate in Healthcare Management from Yale School of Management, plus three US tech patents, Tobi is a true innovator. He’s also a key member of the Commonwealth AI Consortium and the Research Director at Bio-RAMP Labs.

 

The Basics

Product demo: https://youtu.be/ZV10YNUNGYY

Audio Intelligence for Health: https://youtu.be/mTNWytb3x2I

Website: https://intron.io

Open positions: https://intron.io/about/#jobs

 

Recent Press

• TechCrunch pre-seed fundraise announcement
• Google Research, Gates Foundation, and Intron collaboration: link
• NVIDIA AI Blog: https://blogs.nvidia.com/blog/2023/05/11/ai-africa-doctors-paperwork/
• BBC News Interview: https://www.bbc.com/news/av/world-africa-66033811
• Commonwealth Partnership Announcement: link and link
• Harvard+BIDMC OpenNotes Advisory Board: link
• Harvard Radcliffe Consortium on scaling Digital Health Innovations in Africa: link
• TechCabal article: https://techcabal.com/2023/05/29/intron-health-brings-ai-to-african-healthcare/
• NVIDIA and Huggingface collaborate with Intron for Zindi Challenge/Hackathon: https://zindi.africa/competitions/intron-afrispeech-200-automatic-speech-recognition-challenge

 

Research Papers

Cool research papers coming out of our lab:

1. AfriSpeech [MITPress 2023]: our pan-African clinical speech dataset with benchmarks
2. AfriNames [Interspeech 2023]: most ASR models butcher African names
3. AccentFolds [EACL 2024]: models can learn African cultural and geopolitical relationships from speech data
4. ASR on Medical Entities [Interspeech 2024]: models can work great on non-medical speech but perform worse on medical terms
5. AfroTTS [Interspeech 2024]: A 1000 African Voices; generating English speech in nearly 1000 African accents
6. AfriMed-QA [ACL 2025]: the largest study on LLMs in African healthcare

Tagged as: 3-5 Years