Technical Product Manager

Compensation: ₹18L – ₹22L

Function: Product Management Reports To: Head of Product Experience: Total 5 years experience (2-3 years in Product + 2 years prior Software Engineering) Domain: SaaS / B2B • Clinical Health-Tech a strong plus Start: Immediate to 30 days

THE ROLE
We need a Technical PM who has been in the trenches as a software engineer and knows what it really takes to ship production software. You will own end-to-end product delivery across one or more core product areas — from discovery and roadmap through to launch and iteration. You will work daily with engineering, design, data science, and clinical stakeholders to build a product that is loved by users and respected by regulators.

WHAT YOU WILL DO
Product Roadmap Own the product roadmap end-to-end — define the Epics, sequence features by impact vs. effort, and communicate trade-offs clearly to engineering, design, and business stakeholders. Translate business goals and user problems into a prioritised backlog; use frameworks like RICE, opportunity scoring, or jobs-to-be-done to make sequencing decisions defensible, not just intuitive. Drive quarterly planning cycles — align product bets with revenue goals, capacity constraints, and platform health; flag conflicts early. Technical Execution & Engineering Partnership Write technically precise PRDs that include API contracts, data models, state machines, edge cases, and explicit error-handling expectations — not just user stories. Participate actively in architecture and system design discussions; understand and articulate trade-offs between monolith vs. microservices, sync vs. async patterns, and build vs. buy decisions. Review technical specs and ERDs for completeness; spot scope creep, hidden dependencies, and under-specified integrations before sprint kick-off. Own the technical debt roadmap alongside engineering — balance new feature velocity with platform health, scalability, and security hygiene. Understand SaaS infrastructure fundamentals: multi-tenancy, role-based access control (RBAC), SSO/SAML, rate limiting, webhooks, and API versioning. Able to make product decisions that affect these layers intelligently. Run sprint ceremonies (planning, grooming, retros) and maintain the engineering team's flow — unblock dependencies, resolve ambiguity, and shield the team from context-switching. Data, Metrics & Analytics Define success metrics for every feature before it ships — activation rates, feature adoption, time-to-value, retention impact. Run post-launch reviews against these benchmarks without being asked. Instrument product analytics from the requirements phase — specify event schemas, funnel definitions, and cohort logic for the data/engineering team. Integrations, Platform & Ecosystem Own the product's integration strategy — third-party APIs, webhooks, SDK/embed scenarios Collaborate with the security and compliance team on features that touch PHI/PII — define data residency requirements, consent flows, audit logging, and access control at the product spec level. Go-to-Market & Stakeholder Management Partner with sales and customer success on feature positioning, release notes, and customer-facing documentation; translate engineering outputs into clear business value. Manage stakeholder expectations across product, engineering, sales, and clinical SMEs — escalate risks early, communicate scope changes in writing, and keep every stakeholder in the right information loop. Contribute to pricing and packaging decisions for new features — understand SaaS monetisation levers (seat-based, usage-based, module tiers) and their product implications.

MUST-HAVE QUALIFICATIONS

Experience At least 5 years of experience with 2-3 years of product management experience on a B2B SaaS product, owning roadmap and delivery end-to-end with full accountability for outcomes. 2 years of prior software engineering experience in a production environment (any stack — backend, frontend, or full-stack). You have shipped code, managed deployments, and debugged production incidents. Demonstrated track record of launching SaaS features that drove measurable improvement in activation, retention, or revenue — with numbers to back it up.

Technical Skills Comfortable reviewing REST API specs (OpenAPI/Swagger), understanding authentication patterns (OAuth 2.0, JWT, API keys), and writing acceptance criteria that include API behaviour. Able to read a system architecture diagram, understand data flow between services, and ask the right questions about scalability, latency, and failure modes. Working knowledge of SaaS infrastructure concepts: multi-tenancy, RBAC, SSO/SAML, CI/CD pipelines, feature flags, and deployment environments (staging vs. production). Hands-on with product analytics tools — Mixpanel, Amplitude, Heap, or equivalent — including defining event taxonomies, not just reading dashboards. Product Skills Writes PRDs that include functional specs, non-functional requirements, data requirements, and explicit out-of-scope boundaries — no ambiguity handed off to engineering. Practised in agile delivery: sprint planning, backlog grooming, sprint reviews, and retrospectives. Comfortable in Jira, Linear, or equivalent; knows how to write a ticket that doesn't require a meeting to explain. Experience defining and tracking OKRs or product KPIs at the feature and product-area level; can connect daily work to business outcomes. Can conduct user interviews, synthesise qualitative feedback, and convert it into prioritised problem statements — not just a feature wish list. Soft Skills & Mindset Excellent written communication — can distil a complex technical problem into a one-page brief that a non-technical exec can act on and an engineer can build from. Strong cross-functional influencer — comfortable pushing back on engineering scope creep, design gold-plating, and sales feature requests with data and user evidence, not authority. High ownership mindset — you treat the product like it is yours, escalate blockers fast, and don't wait to be told what to do next.

NICE-TO-HAVE QUALIFICATIONS

Experience in health-tech, clinical AI, or regulated software environments (SaMD, HIPAA, HL7/FHIR). Familiarity with AI/ML product development — understanding of model evaluation, data pipelines, or MLOps workflows. Prior exposure to B2B enterprise sales cycles and hospital/clinic procurement dynamics. Background in neuroscience, clinical psychology, or adjacent fields. Experience with design tools (Figma) and ability to contribute to wireframe-level discussions.

BrainsightAI is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive team.