Sully.ai

• End-to-end engineering execution: architecture → roadmap → delivery → reliability. • Step-function performance improvements — targeting 50%+ latency cuts across AI workflows. • Observability, metrics, and model-selection systems that hold up at scale. • Engineering rituals that keep teams shipping: standups, backlog ownership (Linear), cross-functional coordination. • Translating product goals into clear plans, timelines, and unblocked teams. • Continuous quality pipelines: accuracy, completeness, reliability of every output. • Engineering bar across the stack: code quality, reviews, on-call, operational rigor.

• Own pipeline: hit and exceed qualified meeting and pipeline targets. • Phone first execution: 100 dials per day, three focused call blocks, targeted emails, daily enterprise account research, and strict CRM hygiene. • Qualify hard: open with relevance in under 20 seconds, tie Sully to real operational pain, qualify tightly, disqualify quickly. • Own your funnel math: know your conversion rates across every stage and improve at least one metric monthly. • Build the machine: refine healthcare talk tracks, strengthen objection handling around compliance and EMR integration, identify buying triggers, and document standards for scale. • Operate like an owner: if metrics slip, adjust within 48 hours.

• Own the client relationship: build deep partnerships with C-suite, VPs, directors, and clinical leaders; run all client meetings, check-ins and QBRs. • Lead outcomes: define success metrics, build adoption plans, and ensure our clients win • Drive expansion: identify opportunities, ensure pilots are successful, demonstrate measurable ROI on the metrics our clients care about *(e.g. hours saved, increased revenue, staff satisfaction).* • Playbook building: Build the playbook for how we consult and support our highest value accounts • Be the voice of the client internally: translate real-world pain into roadmap priorities and ensure Sully ships what moves the needle for our clients

• Own the client relationship: build deep partnerships with C-suite, VPs, directors, and clinical leaders; run all client meetings, check-ins and QBRs. • Lead outcomes: define success metrics, build adoption plans, and ensure our clients win. • Drive expansion: identify opportunities, ensure pilots are successful, demonstrate measurable ROI on the metrics our clients care about (e.g. hours saved, increased revenue, staff satisfaction). • Playbook building: Build the playbook for how we consult and support our highest value accounts. • Be the voice of the client internally: translate real-world pain into roadmap priorities and ensure Sully ships what moves the needle for our clients.

• Own end-to-end engineering execution for your domain. • Drive step-function latency reductions. • Design and operate robust observability, metrics, and model-selection systems. • Lead domain-specific execution rituals. • Translate product goals into clear dependencies, timelines, and deliverables. • Operationalize continuous quality evaluation pipelines. • Set and enforce engineering best practices across your stack.

• Build and lead Sully’s go-to-market engine from scratch • Own the full sales cycle, from cold outbound to closed-won deals • Drive and systematize predictable, repeatable revenue growth • Lead complex enterprise negotiations with high stakes and long sales cycles • Increase demo conversion through tighter storytelling and faster feedback loops • Hire, train, and scale a high-performing sales team

• architect and implement cross-agent systems that power core Sully.ai experiences. • build and scale full-stack product components using TypeScript/React and Python services. • integrate LLMs into production workflows with strong contracts, observability, and test coverage. • develop shared UI components and typed SDKs to unify cross-agent experiences. • lead engineering direction, collaborating with founders and cross-functional stakeholders.

• Build and scale automated evaluation pipelines (LLM-as-judge + human review) with clinical-grade benchmarks. • Audit existing evaluation approaches for clinical and agentic tasks. • Define initial benchmarks and build early automated pipelines. • Partner with engineering to land first set of CI gates for accuracy, factuality, and safety. • Deliver a repeatable evaluation framework with automated pipelines in production. • Demonstrate measurable improvements in robustness, hallucination reduction, or safety. • Publish or present internal research findings that directly shape product reliability.

• Establish and Scale systems to achieve $100M in Contracted ARR • Operationalize U.S. execution & unblock pipelines • Drive early enterprise client traction & contract velocity • Define & land a go-to-market agent prioritization roadmap

• Identify security and compliance risks that could potentially block customer acquisition, and resolve these risks without needing direction. • Build and execute a Third Party Risk Management program, ensuring all user devices are fully compliant with security requirements. • Create a clear plan forward for contractor virtual environments, ensuring compliance with security protocols. • Take initiative in finding and accurately capturing risk items, backing up findings with research and evidence. • Continuously look forward and build efficiencies and automations in daily tasks, driving predictable and repeatable revenue growth. • Collaborate with cross-functional teams to drive complex enterprise negotiations, ensuring compliance with security and compliance frameworks. • Develop and implement repeatable playbooks for outbound → demo → closed-won conversion, building high-performing sales teams and onboarding programs. • Drive and systematize revenue growth, increasing demo conversion and leading complex enterprise negotiations with high stakes and long sales cycles.