Joist AI

• Translate cutting‑edge AI concepts (LLMs, RAG, agentic frameworks) into production‑ready workflows. • Sit with engineers and data scientists during debug sessions, design reviews, and brainstorming to drive clarity and unblock progress. • Sweat the details: from model evaluation metrics to API contracts, you’ll know enough to ensure product quality and performance. • Prioritize ruthlessly, balancing user value, technical feasibility, and time‑to‑market. • Define, scope, and ship features end‑to‑end in tight iterations. • Push features across the finish line—removing blockers, making fast trade‑offs, and hustling to deliver. • Partner with Customer Success to understand how real users interact with our platform—and where they get stuck. • Translate messy customer workflows into elegant technical solutions. • Identify opportunities for Joist AI’s agentic tech to transform how work actually gets done. • Champion a “get it done” culture that values speed, rigor, and accountability. • Bridge technical and business teams with clear, no‑nonsense communication. • Help shape the DNA of our product org at a company where the AI frontier is our playground.

• Research accounts and prospects using a mix of AI-powered tools and traditional sources to understand their business context. • Engage prospects across email, LinkedIn, and phone with relevant, thoughtful outreach. • Hold meaningful conversations that uncover real problems, priorities, and timing. • Qualify interest and determine whether prospects are a strong fit for Joist AI. • Schedule meetings and provide clear, well-structured handoffs to Account Executives. • Maintain accurate activity, notes, and next steps in HubSpot. • Use feedback from conversations to improve messaging, targeting, and outreach approaches. • Continuously learn new tools and workflows to work more effectively and efficiently.

• Design, build, and evolve scalable, resilient, and high-performing backend services and APIs • Act as an expert guide for the engineering team • Lead by example by tackling the most complex technical challenges • Define and enforce organization-wide best practices for system design, database schemas, automated testing, and observability • Partner closely with Product, Platform, and AI engineering teams to ensure architectural alignment

• Build agents as modular, plug-and-play components. • Add memory layers into running systems. • Wire up tool integrations, MCP servers, and skills. • Own quality of the features you put out. • Dig into production traces to understand system behavior.

• Integrate automated security scanning (SAST, DAST, SCA) directly into our CI/CD pipelines. • Design and enforce security policies across our primary cloud environment. • Pioneer security strategies for our LLM and machine learning workloads. • Build and monitor security observability tools. • Act as an embedded security consultant to our engineering and product teams. • Drive and maintain compliance initiatives relevant to our enterprise AEC clients.

• Become a vital bridge between product and go-to-market teams • Help shape the strategy to drive business objectives • Translate complex innovation into compelling narratives • Collaborate with Product Management to bring new features to market • Ensure teams are armed with the knowledge they need • Own the product launch process from planning through execution • Create predictable, scalable feature launches • Develop compelling messaging and positioning for new features • Share product knowledge across the organization • Collaborate with Sales to showcase product value