Bangalore
Q is building an AI-led family doctor for India—an always-accessible health companion that understands each person’s medical history and brings in qualified doctors when needed.
We're 2x founders who have previously built and exited a YC-backed AI data company. We are well-funded by some of India’s top unicorn founders and VCs.
As Q’s first full-time nutritionist, you’ll provide nutrition care through teleconsultations and build the protocols, content and workflows that shape how nutrition fits into Q’s care model and AI.
Bengaluru · On-site · Full-time / Part-time · Min 24 hours per week
Reports to the Medical Director / Co-founder
Provide personalised nutrition consultations through text, voice and video.
Support preventive health, weight management, metabolic health, pregnancy, paediatric nutrition and condition-specific dietary needs.
Own consultation quality, documentation and follow-ups.
Create evidence-based nutrition protocols, care plans and patient education.
Build clinical evaluations for AI-generated nutrition guidance; write guardrails and reference content; review and correct recommendations.
Work with doctors, product and engineering to build coordinated care journeys.
Establish consultation standards, operating processes and outcome metrics.
MSc in Clinical Nutrition, Dietetics or an equivalent recognised qualification.
At least four years of clinical practice, preferably serving metro-city patients.
Experience supporting patients with a range of nutritional and medical needs.
Strong understanding of evidence-based nutrition and misinformation risks.
Administrative or quality-process experience.
Comfortable working with AI, product and engineering teams.
Strong written and spoken English; Kannada or Hindi is helpful.
Telemedicine, health-tech, Registered Dietitian credentials, clinical content, patient education, or paediatric, women’s health or metabolic nutrition experience is a plus.
The opportunity to shape nutrition care at Q from the beginning.
Significant influence over Q’s clinical workflows and AI.
Competitive compensation