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Own the strategy, roadmap, and execution for a major product area supporting clinical development workflows. Lead customer discovery, AI product development, product analytics, prioritization, delivery, and adoption. Partner with Engineering, Data Science, Design, clinical experts, customers, and executives to deliver transparent, measurable AI-enabled capabilities using structured data, LLMs, retrieval systems, and automation. Mentor associate product managers and influence cross-functional teams without direct authority.

Own the platform and integration strategy for a clinical trial software platform. Translate customer and partner requirements into technical specifications, define integration roadmaps, design and validate solutions, and lead integrations through launch. Establish platform standards, evaluate ecosystem opportunities, measure performance and adoption, and ensure interoperability, reliability, security, and regulatory compliance across clinical systems.

Designs and operates scalable cloud infrastructure, CI/CD pipelines, deployment automation, and platform tooling for cloud-native SaaS applications. The role manages AWS and Azure environments using infrastructure as code, container orchestration, security, reliability, monitoring, and distributed microservice scaling. It collaborates with software engineering and product teams, supports Node.js and Python applications, researches new technologies, and applies generative AI to DevOps automation.

Designs and builds cross-team platform capabilities, owns end-to-end architecture and non-functional requirements, guides technical decisions, evaluates build-versus-buy choices, and contributes hands-on code. The role partners with engineering, product, security, customers, and business stakeholders; leads migrations, promotes engineering standards, mentors engineers, and drives adoption of internal platforms. The stack includes TypeScript or Python, Azure, containers, Terraform, relational databases, event-driven systems, and front-end architecture.

Leads complex ecosystem, innovation, and customer transformation programs for pharmaceutical and life sciences organizations. Advises executive and technical stakeholders on data, analytics, clinical workflows, integrations, AI, and operating models. Translates business objectives into actionable strategies, coordinates cross-functional teams, guides change and adoption, manages ambiguous initiatives from conception through measurable outcomes, and develops repeatable frameworks for customer strategy programs.

Lead and build Faro’s solutions consulting function for an AI-powered life sciences platform. Partner with sales on discovery, tailored demonstrations, RFI responses, evaluations, proposals, account strategy, and ROI business cases. Build presales playbooks, reusable collateral, and demo environments while translating clinical and technical needs for enterprise stakeholders. Support integration, security, and compliance reviews, develop client champions, and relay customer feedback to product and marketing teams.

Own strategy and success for a portfolio of pharmaceutical and biotechnology customer accounts. Advise clinical development stakeholders, drive Faro platform onboarding and adoption, lead change management, measure value and ROI, manage retention risks, identify growth opportunities, and develop executive relationships. Partner cross-functionally with Commercial, Product, Solutions Onboarding, and Data teams to communicate customer insights and improve Customer Strategy capabilities.

Develop and deliver scalable, distributed SaaS features for a clinical-trial software platform. Responsibilities include architecture and hands-on development, engineering best practices, technology innovation, cross-service and AI-powered feature integration, real-time systems, customer-focused product delivery, and mentoring software engineers. The role collaborates closely with a fast-moving team and contributes to the product roadmap.

Develop and ship full-stack SaaS features across frontend and backend services. Solve moderately complex technical problems, work with microservices and cloud systems, participate in code reviews, mentor junior engineers, and maintain engineering quality. The role requires proficiency in TypeScript or Python with willingness to learn both, collaboration with customers and teammates, and adaptability in a fast-moving startup. Experience with AI-powered features, regulated healthcare, or clinical trials is advantageous.