• Identify and prioritize high-impact AI use cases across Marketing, Sales, and Customer Success in partnership with Revenue Operations, aligning initiatives with business priorities to improve field productivity, conversion, and customer outcomes • Design and implement AI-driven workflows and agentic solutions across the GTM tech stack, embedding AI into core processes like pipeline inspection, lead prioritization, deal coaching, and customer engagement • Build and scale automation and intelligence layers on top of Salesforce and the broader GTM stack, leveraging LLMs and modern AI tools to evolve manual processes into intelligent, automated workflows • Integrate AI into platform design in close collaboration with Systems & Architecture, ensuring alignment with data models, governance standards, and long-term architecture • Leverage GTM data to power AI-driven insights and workflows, ensuring high-quality inputs and outputs for confident decision-making • Stay ahead of AI and GTM technology trends by rapidly evaluating, testing, and scaling new tools and approaches.

• Focus on the AI logic required to convert unstructured call summarizations into high-quality, clinical-grade SOAP (Subjective, Objective, Assessment, and Plan) notes. • Help build Arine's prompt generation, defining guardrails and determining how the agent should respond to questions or comments from the stakeholder it is talking to.

• Build and improve AI-powered applications and internal tools • Rapidly prototype, experiment, and iterate across client and internal projects • Implement workflows that use LLMs, retrieval systems, agents, and structured outputs • Contribute to shared platform work and reusable tooling • Turn prototypes into reliable, client-ready systems • Conduct research, benchmarking, testing, and evaluation of new approaches • Own smaller projects or sub-projects with guidance from the team • Take ownership of deliverables and help deliver work that meets client needs • Write and maintain clear internal documentation

• You develop and operate AI-native features end-to-end — with a focus on quality, safety, latency, and cost efficiency. • You build agentic applications and chatbots, including tool use, stateful workflows, and (multi-)agent orchestration. • You establish standards and best practices for how we develop, evaluate, and deploy AI systems. • You work closely with product and engineering leadership to translate business requirements into technical solutions. • You actively shape experimentation workflows and long-term AI roadmap decisions.