Technical Product Manager with Life science or Pharma Domain, R&D; Platforms, GCP and AI experience Get AI-powered advice on this job and more exclusive features.

Technical Product Manager with Life science or Pharma Domain, R&D; Platforms, GCP and AI experience

Remote

Drive continuous discovery and innovation focused on new product development and R&D; acceleration

Manage large strategic initiatives or portfolios of 5‑10 established applications (including modernization, rationalization, or sunsetting)

Translate complex, ambiguous scientific and technical requirements into explicit Product Development Plans (PDPs)

Manage backlog prioritization using Jira, Confluence, and Jira Product Discovery

Partner with Project Managers on scope trade‑offs, resource allocation, and dependency management

Drive UAT, release decisions, and launch readiness across technical and business stakeholders

Stakeholder Management & Discovery Present executive‑ready materials to business leadership and governance forums

Technical Platform Expertise Deep understanding of APIs, data flows, cloud platforms (GCP required), and R&D; systems architecture

Work closely with engineering, infrastructure, and data platform teams on technical feasibility and design

Monitor support channels, triage technical requests, and align them with product strategy

Navigate complex data ecosystems, authentication systems (SSO, LDAP), and compliance requirements

AI‑Native Product Management Leverage Gemini Pro and Atlassian AI for intelligent prioritization, velocity forecasting, and automated insights

Apply NLP‑based sentiment analysis and predictive analytics to inform backlog prioritization

Co‑develop AI use cases with client teams (target:



2‑3 production AI use cases per quarter)

Participate actively in bi‑weekly sprint planning, retrospectives, and delivery reviews

Attend monthly Product Strategy Reviews with business stakeholders and Product Owners

Contribute to quarterly 360° performance reviews and monthly portfolio health reporting

Maintain comprehensive Confluence documentation and knowledge‑management practices

Core Product Management Skills 8+ years of product management experience, preferably in technical or platform products

Strong business use case analysis and user interview capabilities

Proven stakeholder mapping, management, and conflict‑resolution abilities

Excellent requirements documentation and PRD writing skills

Deep understanding of agile development methodologies and hybrid delivery models

Expert user of Jira and Confluence for backlog management and documentation

Technical Expertise Strong technical background with hands‑on software engineering or technical architecture experience

Experience building or managing developer platforms, APIs, data pipelines, and infrastructure tooling

Ability to read technical documentation, understand data flows, and speak fluently with engineers and data scientists

Working knowledge of modern data engineering stack and databases (SQL, NoSQL)

Familiarity with MLOps practices and AI/ML platform requirements





Life Sciences Domain Knowledge Experience in pharmaceutical or regulated industry environments (GxP, 21 CFR Part 11)

Understanding of scientific research workflows and R&D; systems

Ability to bridge the gap between scientific users (chemists, biologists, computational scientists) and engineering teams

Familiarity with scientific computing applications and high‑performance computing (HPC) environments

Advanced Technical Skills Experience with high‑performance computing (HPC) environments and HPC‑to‑cloud migrations

Knowledge of GCP’s HPC‑specific offerings and configurations

Understanding of authentication systems (SSO, LDAP) and zero‑downtime deployment strategies

Familiarity with data movement challenges specific to large scientific datasets

Strong strategic vision for product direction and long‑term roadmaps

Experience as a product evangelist with ability to drive adoption and change management

Track record of portfolio rationalization, modernization, and technical debt reduction

Capability in cost optimization: license utilization, cloud spend efficiency, ROI analysis

Background in AI/GenAI applications for scientific workflows

Background in managing external vendor relationships and integration points

Experience with multi‑vendor coordination and dependency management

Understanding of security and compliance requirements in enterprise pharmaceutical environments

Knowledge of scientific data provenance, reproducibility, and regulatory requirements

Familiarity with life sciences software vendors (Schrödinger, Benchling, etc.)

Full‑time

Information Technology

Information Services and Technology, Information and Media

📌 Product Owner / Technical Product Manager (Montreal)
🏢 Xebia
📍 Montreal