• Develop, and execute product line strategy • Define the product strategy and roadmap that aligns with the company goals and market opportunities; • Balance product line innovation with operational excellence; • Build business cases for new product offerings and product portfolio expansion. • Monitor product performance, market trends, and customer needs to identify growth opportunities. • Partner with field-based commercial teams (account managers, field applications scientists, and scientific affairs directors) to capture feedback from pharma, biotech, and academic customers. • Gather market insights from conferences, publications and key opinion leaders. • Conduct and synthesize voice of customer research to inform product strategy, product requirements, and customer journey • Partner with R&D to defined product requirements, specification, and performance metrics • Define product positioning, pricing, and differentiation within the multiplexed immunoassay and proteomics market • Support marketing collateral and training materials to support product launches; • Accountable for the commercial success of assigned product line responsibilities. • Define and analyze KPIs to monitor product line performance for continual improvements and lifecycle management • Perform competitive product analysis; • Develop tactics for addressing direct and/or indirect product competition; • Monitor competitor strategies and adjust positioning accordingly • Work with Assay Development, Quality and Operations to drive successful product development programs; • Work with Global Sales Management to identify, develop and execute specific tactical marketing and training programs; • Work with Sales, Scientific Support, Customer Service and Finance to develop and manage processes to improve marketing effectiveness and customer loyalty. • Provide mentorship and guidance to other Product Managers • Assist team members in development of product messaging, market sizing, financial forecasts, pricing and other areas of marketing expertise.

• Define the technical product vision for the portfolio, including platform boundaries, capability model, and north-star architecture direction • Own sequencing and prioritization of epics across platform capabilities, integrations, and modernization work; make final trade-off decisions based on value, risk, and technical feasibility • Define and track KPIs that measure product team effectiveness, initiative progress, and business impact • Translate product intent into clear technical requirements, acceptance criteria, and success metrics; ensure teams have clarity on outcomes, constraints, and guardrails • Own operational outcomes for delivered capabilities, including incident learnings, reliability improvements, and ongoing performance/cost optimization • Define adoption and usage success metrics for platform capabilities (API consumption, active integrations, feature utilization) and drive continuous improvement based on insights

• Define and drive product vision, roadmap, and positioning • Identify and prioritize AI/ML opportunities to solve clinical and operational needs • Build business cases grounded in ROI, data insights, and AI-driven value creation • Stay ahead of market trends, especially in AI, digital health, and ABA solutions • Leverage AI tools (e.g., prototyping, copilots) to rapidly design and validate user experiences • Deeply understand user personas and workflows across clinical and business contexts • Use qualitative + quantitative data (incl. AI-driven analytics) to uncover insights • Continuously gather stakeholder feedback to inform product direction and adoption • Own end-to-end product lifecycle from discovery to launch and iteration • Translate strategy into epics, features, and prioritized backlogs for Agile teams • Partner with design and engineering to deliver high-quality, scalable solutions • Use AI-assisted workflows to accelerate development, testing, and iteration • Align stakeholders, manage dependencies, and drive timely delivery • Define and track success metrics; use data to optimize product performance • Monitor adoption, utilization, and outcomes; iterate using experimentation (A/B testing, rapid prototyping) • Own product P&L and ensure sustainable growth and impact

• Own the data platform roadmap. • Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products. • Manage vendor relationships. • Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance • Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality. • Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications • Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products • Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes. • Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets. • Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases. • Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features. • Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.