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

• Define and implement the end-to-end testing strategy for Joist AI, focusing on the Proposal Processing Pipeline and Knowledge Graph building. • Develop novel ways to test and monitor LLM-generated narratives and chat responses for accuracy, hallucination reduction, and compliance. • Own the quality of our extraction services (Adobe API), object/image detection, and captioning services. • Lead the development of automated test suites using Playwright (browser) and API automation (FastAPI) integrated into our CI/CD pipelines. • Use Linear to track defects through the lifecycle and collaborate with leads (Bala, Sharat, Chandan) to prioritize fixes based on customer impact. • Partner with Data Science teams to validate image processing (face/label detection) and with the GTM team to understand real-world proposal workflows.

• Design and build the internal foundation for AI and data pipelines • Lead the evolution of our IaC (Terraform) strategy • Architect and maintain high-speed delivery pipelines • Support infrastructure for extraction services, image detection and PDF processing • Own the observability-as-a-service layer • Partner with security leads for robust AWS Cognito identity management

• Client Onboarding: Guide new customers through the onboarding process, ensuring a smooth transition and quick adoption of our products. • Customer Support: Address customer inquiries and issues promptly and effectively, providing solutions and guidance. • Relationship Management: Build and maintain strong, long-lasting relationships with clients, understanding their needs and helping them succeed. • Product Knowledge and Training: Conduct training sessions and webinars to educate customers on the best practices and features of Joist AI, and work closely with our product development team to understand our services and value propositions. • Feedback Loop: Gather customer feedback and work closely with our product team to drive continuous improvement. • Performance Tracking: Monitor customer usage and success metrics to identify areas for growth and improvement. • Proactive Outreach: Regularly check in with customers to ensure they’re getting the most out of our products and services.

• Partner with customer leadership to define clear business objectives (KPIs) and build Joint Success Plans. • Lead high-impact quarterly reviews with C-level stakeholders. • Own the retention number for your book of business. • Act as the internal "quarterback" for your clients. • Analyze engagement data to prescribe specific actions that increase the customer’s operational efficiency and revenue. • Provide consultative guidance on industry best practices (AEC workflows). • Translate complex enterprise feedback into actionable insights for our Product team.