• Build and iterate on AI-powered go-to-market tools that help Safari AI scale outreach and accelerate deals • Develop solutions that are robust across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and compelling prospect experience • Work with a growing team of sales, marketing, and product engineers to ship GTM experiments quickly and feed learnings back into the product roadmap • Design and maintain the systems, templates, and data pipelines that power outbound sequences, lead nurturing flows, and customer onboarding • Build and maintain AI-driven prospect research and account-scoring pipelines that surface high-fit venues (stadiums, theme parks, retail, cruise, ski) and enrich them with operational signals (camera count, footprint, parent org, tech stack) • Develop vertical-specific demo environments and ROI calculators that translate Safari AI's computer vision outputs (queue times, dwell, occupancy, conversion) into language and metrics each buyer persona cares about • Operate the outbound infrastructure stack — sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data

• Set technical direction and architect multi-tenant GenAI platform systems • Lead the development of secure, scalable platforms and developer tooling for agentic coding and experimentation • Integrate generative AI frameworks, LLMs, and evaluation platforms into enterprise-grade solutions • Solve complex technical challenges, ensuring reliability, security, and performance at scale • Mentor engineers and collaborate with Research, Product, and Engineering teams to deliver impactful solutions

• Design, build, and support high‑performance APIs and microservices for vehicle history, VIN intelligence, and transaction systems. • Develop and scale Java/Spring Boot services in a modern AWS cloud‑native environment. • Architect event‑driven systems using Kafka, SQS, or similar technologies to enable asynchronous processing and data pipelines. • Contribute to platform‑wide decisions around architecture, scalability, resiliency, and security. • Implement and continuously improve CI/CD pipelines, automated testing strategies, and observability practices. • Participate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”). • Collaborate closely with product, data, and partner teams to deliver mission‑critical integrations. • Mentor engineers and help cultivate a high‑performing, collaborative engineering culture.

• Provide subject matter expertise to support proposal development, ensuring logistics approaches, methodologies, and solutions meet customer requirements. • Partner with capture, pricing, and proposal teams to develop logistics concepts of operations (CONOPS), staffing models, workflows, and technical volumes. • Review requirements related to supply chain, warehousing, inventory, transportation, and distribution to ensure compliance and alignment with customer expectations. • Craft clear, compelling technical narratives describing logistics capabilities, processes, technologies, and performance metrics. • Advise on feasible, cost effective logistics solutions to strengthen win themes and differentiators. • Support risk identification and mitigation strategy development for proposal submissions involving supply chain or transportation functions. • Provide recommendations on leveraging systems and industry best practices in proposal responses. • Engage on an as needed basis to answer technical questions, refine solution elements, and ensure the final product reflects sound logistics expertise.