• Distributed HPC/AI workflow development, experimentation, and testing for enabling interactive processing of large-scale telemetry datasets (terabytes to petabytes). • Building solutions by composing existing open-source solutions and using distributed and parallel programming approaches for scaling data and simulation size. • Actively participate in a collaborative, consensus-driven design process. • Work in an Agile development environment. • Create documentation, collaborate with users, and present progress in writing, slides, and verbally.

• Develop and champion the positioning, messaging, and narrative for the Habits BU (internally and externally) • Build a deep understanding of the manager buyer and their journey —their pain, language, objections, motivations, and watering holes • Partner closely with Product at every step, bringing customer research, market insights, and learning from experiments to influence vision, strategy, and roadmap decisions • Prove what resonates by running real-world experiments and sharing what you learn, early and often • Challenge outdated marketing playbooks and help us find more modern, effective ways to reach managers • Tell differentiated, compelling stories you’re proud to put your name on • Define and evolve positioning and messaging for managers as the product and market evolve • Be real and ensure our promises match product reality (no hand-waving or marketing fluff) • Influence and enable internal teams with clarity, conviction, and shared language • Develop the audience and report back on findings • Develop and segment the manager audience using data, research, and qualitative insight to understand which managers to focus on, why they matter, and how their needs differ • Design, run, and analyze growth experiments across paid, organic, and less-obvious channels, using clear hypotheses and success signals to guide what we scale or stop • Partner with channel owners to test and refine messaging, creative, and offers—connecting performance data back to audience insights, not just channel metrics • Create and ship without ego • Use AI as a force multiplier for drafting, iteration, and creative exploration across formats • Develop campaigns, landing pages, and content that feel vibrant, real, and progressive • Move fast, learn faster, and raise the quality bar with each iteration • Collaborate with and support your colleagues • Work closely with your BU lead on strategy and product direction • Collaborate directly with design, product, and GTM on creative strategy and execution • Bring internal teams and current customers along with you through thoughtful enablement and GTM content

• Own and lead architectural decisions for new systems, partnering closely with product, security, and engineering leadership. • Write clear RFCs and design docs, and guide execution across teams. • Build and evolve backend services and web apps using TypeScript. • Support and evolve data pipelines used for analytics and product features. • Work on AI-powered systems (e.g., voice AI agents, AI workflows). • Design, build, and maintain SMART on FHIR and HL7v2 integrations. • Periodically join customer implementation calls to unblock complex integration work. • Own and improve deployment pipelines, including CDK infrastructure, application deployments and database migrations. • Support multi-region uptime, disaster recovery planning, and backup/restore practices. • Be hands-on in production support and incident response when needed. • Lead the migration to capturing 100% of our cloud infrastructure in AWS CDK. • Maintain and harden AWS infrastructure with a strong security mindset. • Partner with Security on vulnerability remediation, SLA timelines, and SOC 2 / HIPAA. • Do deep, thoughtful code reviews & mentor engineers as the team grows. • Set standards for how we ship, deploy, and operate software at scale.

• Lead infrastructure resiliency efforts - recovery mechanisms, tenant isolation, load spike handling, etc • Improve observability and operability of our systems • Build performance-critical, user-facing infrastructure (eg. real-time event processing) • Plan scaling initiatives to handle large customer growth • Partner with other engineering teams to ensure we build reliable product features • Learn from a talented peer group, and share your expertise