Product Lead, Voice AI

Intron Health Overview

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.

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.

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

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.

• Define and evolve the Voice AI roadmap aligned with Intron’s strategic goals.
• Translate user needs (doctors, enterprises, call-centers, etc.) into Voice AI product priorities.
• Track global benchmarks in speech recognition (STT), LLMs, and healthcare AI and adapt them to LMIC contexts.

• Lead cross-functional squads (Engineering, Data Science, Design, Operations) to deliver product milestones.
• Drive experiments, pilots, and feature launches (accuracy tuning, latency reduction, multilingual support, hardware bundles, etc.).
• Own KPIs: STT accuracy, latency, adoption, ROI proof points, and user satisfaction.
• Collaborate with research partners to localize models (African accents, noisy environments, medical terms).
• Identify opportunities to integrate with third-party AI tools and extend Intron’s voice stack.
• Work closely with Partnerships & Business Development to shape enterprise deals.
• Translate pilot learnings into repeatable, scalable solutions for enterprise clients (insurers, call centers, hospital systems).
• Build frameworks to move quickly from proof-of-concept to scale-up deployments, ensuring adoption, impact, and commercial success.
• Co-design solutions with doctors, nurses, and frontline users.
• Engage with enterprise stakeholders to adapt Voice AI for productivity and compliance use-cases.
• Ensure product-market fit through continuous user and market feedback loops.

• Champion a user-first, data-driven, and fast-iteration culture at Intron.

• 3+ 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 LLM/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

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…