• Lead discovery sessions to identify high-value use cases for AI and automated solutions, including workflow automation, copilots, knowledge retrieval, and intelligent routing. • Translate business objectives into technical designs covering workflows, data flows, integration points, and non-functional requirements such as latency, reliability, security, and compliance. • Design and implement AI Agentic solutions that can reason, plan, call tools, and execute multi-step tasks across APIs, databases, SaaS platforms, and document repositories. • Build solution workflows using patterns such as planner-executor, supervisor-worker, and human-in-the-loop with frameworks including LangChain, LangGraph, and similar orchestration libraries such as LlamaIndex and Semantic Kernel. • Use MCP-style protocols to standardize tool discovery and invocation, including tool schemas, validation, retries, error handling, and safe execution patterns. • Implement retrieval-augmented generation pipelines, including ingestion, chunking, metadata design, embeddings, vector indexing, hybrid search, reranking, and retrieval orchestration. • Apply prompt and policy design techniques, including structured prompting, guarded templates, reasoning aids, and evaluation approaches to improve quality and reduce hallucinations. • Integrate AI and automated solutions into web and mobile apps, core enterprise systems (CRM, Support, ERP, HR, finance, ticketing, supply chain), collaboration tools, and process platforms.

• Become a Tubular Labs platform and customer expert, demonstrating—at both a granular and high level—the value the software provides to prospects. • Strategically craft effective and compelling value propositions that incorporate prospects’ KPIs to advance the buying process. • Manage the prospect demo and trial process in collaboration with assigned sales representatives, ensuring prospects reach clear success criteria and understand the value of the platform. • Ask relevant probing questions to validate business issues and frame the Tubular solution in a way that solves for the identified client needs. • Bring strong presence to client calls and meetings — partnering with Sales and Customer Success to lead demos, answer questions in real time, and adapt the conversation to what the prospect or client needs. Think on your feet, read the room, and help move conversations forward. • Lead the scoping, qualification, and estimation of API opportunities in collaboration with Engineering and Sales, ensuring prospects have a clear understanding of integration requirements and timelines. • Contribute to proactive commercial initiatives alongside Sales and Marketing, supporting targeted outreach and helping to identify and engage high-potential prospects. • Partner closely with Sales and Customer Success on active deals and accounts to ensure prospects and clients are supported throughout the buying process and beyond; collaborate with Marketing and PMM to identify what custom collateral and materials would strengthen the sales process and improve conversion. • Work with Product and Engineering to channel customer-facing feedback into roadmap decisions and surface technical insights that improve the platform. • Track demo and trial-related metrics to further optimize the sales process.

• Design, build, and implement advanced Conversational AI solutions for customers and partners. • Manage high-impact projects and provide deep technical insights. • Ensure customers achieve maximum value from platform. • Drive complex projects from pilot/Proof of Concept (PoC) to full implementation. • Provide cutting-edge technical solutions and tackle advanced technical challenges. • Collaborate with cross-functional teams to support business development and contribute insights. • Deliver technical training, workshops, and best practices to empower customers and partners. • Develop precise technical documentation and ensure resolution of complex issues.

• Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management. • Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. • Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices. • Run workshops and training sessions with customers during onboarding and new functionality • Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships. • Proactively monitor product usage across your accounts to further gauge account health • Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies. • Effectively relay customer feature requests to internal teams and advocate for customer needs. • Ensure support teams are aligned with customer requests and priorities.