• Oversee product definition and delivery: Be directly involved in the definition, execution and timely delivery of product features, ensuring alignment with business objectives and customer expectations. • Manage product backlog: Prioritize tasks, define user stories, and work closely with the engineering team to ensure a smooth development and delivery processes. • Collaborate with cross-functional teams: Work closely with engineering, design, data, and other stakeholders to ensure a seamless product delivery from start to finish. • Optimize delivery processes: Continuously improve product workflows to enhance team efficiency, product quality, and speed to market. • Coordinate with stakeholders: Act as the main point of contact between the product team and internal stakeholders, ensuring alignment on goals, priorities, and expectations. • Build strong relationships: Foster strong, trusting relationships with both internal and external stakeholders to support seamless collaboration. • Foster collaboration: Create a transparent, communicative environment that encourages teamwork and drives collective success. • Ensure customer satisfaction: Gather feedback from stakeholders and customers, ensuring the product meets their needs and expectations, and make necessary adjustments based on their input.

• Dual Service Strategy (Inference & Training): Define the roadmap for two core service pillars: • Training Services: Orchestrating elastic, cost-optimized compute (GPU/CPU) for model training and experiment tracking. • Inference Services: Managing the deployment of models into high-availability, low-latency API endpoints. • Ease of Development & Deployment: Radicalize the user experience for ML Engineers. You will build self-service "push-button" deployment workflows that abstract away the complexity of Kubernetes and cloud networking. • Lineage & Reproducibility: Ensure every model has a clear "paper trail." You will define how we capture the lineage between data versions, training code, and production artifacts—a critical requirement for Biopharma compliance. • Observability & Governance: Build the tools to monitor model health in production. This includes infrastructure-level metrics (latency/memory) and model-level observability (drift/performance) to ensure system reliability. • Technical Stakeholder Engagement: Partner with Scientific IT and Platform Engineering to ensure our services integrate seamlessly with existing enterprise identity (IAM) and security frameworks. • Backlog & Execution: Act as the "CEO of the Service," translating complex infrastructure needs into clear, actionable epics and user stories for a high-performing engineering team.

• Own roadmap development, backlog management, and stakeholder alignment for assigned workstreams within client engagements • Interface with client product counterparts, subject matter experts, and functional leads to translate business problems into delivered solutions • Help clients organize and improve their product processes, including implementing PDLCs and building cross-functional alignment • Bridge subject matter experts (clinical, operational, commercial) with engineering and design teams • Coordinate with Studio@Newfire to integrate research, service design, and UX into engagements • Advise clients on AI-powered product features and design patterns • Document reusable approaches, templates, and playbook elements for future engagements • Contribute to Newfire intellectual property and help shape how future consultants approach similar challenges.

• Define and execute the long-term strategy for the Backup & Disaster Recovery product portfolio, ensuring alignment with company goals. • Lead the product roadmap, prioritizing features and enhancements based on market trends, customer feedback, and competitive analysis. • Manage and mentor a dedicated team of product managers, fostering innovation and execution excellence. • Work closely with Engineering, UX, Sales, Marketing, and Support to deliver high-impact products. • Stay ahead of industry trends, emerging technologies, and competitor offerings to position our products effectively. • Engage with customers, partners, and internal stakeholders to gather insights and validate product direction. • Partner with Marketing and Sales to drive product launches, messaging, and adoption. • Define KPIs, track product performance, and iterate based on data-driven insights.