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Manage end-to-end execution of strategic AI pilots and act as a technical liaison between customers and engineering teams. | Technically credible professional with debugging and organizational skills to drive results independently in complex environments. | Maven AGI is an enterprise AI platform on a mission to unleash business artificial general intelligence (AGI), starting with customer service. Founded in July 2023 by executives from HubSpot, Google and Stripe, Maven builds conversational AI agents capable of delivering accurate, autonomous support that delights customers at scale. Our platform unifies fragmented systems, integrates knowledge and personalization sources, and enables intelligent actions - all without costly system changes. We’re laying the foundation for a future where our technology handles complex tasks, allowing people to focus on what they do best: creative problem-solving, relationship building, and delivering exceptional customer experiences. We’ve started by reimagining the enterprise customer experience with a support use case. We believe that today’s support experience is broken: slow and painful for customers, and expensive and human capital intensive for companies. We are building Maven to deliver better, cheaper support, for both end users and agents. With recent advancements in Generative AI, it is now possible to deliver delightful customer experiences at a fraction of today’s cost. Team Maven has assembled a world-class team of Engineers from Google, Meta, Amazon, and Stripe, and is supported by executives & Advisors from OpenAI, Google, HubSpot, and Stripe. About the Role This role is the operational and technical backbone of Maven's most complex, highest-stakes customer implementations. It exists because the work requires someone who is simultaneously a builder, a tracker, and a communicator who won't let things fall through the cracks. What you'll do: Owns execution end-to-end on strategic pilots. Not coordination, ownership. You'll track every open item across customer-facing trackers and internal tools (Linear, ClickUp, Notion), know what's blocked, know who needs to be chased down, and drive things to resolution without being asked. Tickets are clean, unambiguous, and mapped correctly. You don't wait for someone to flag a gap, you catch it first. Understands the platform deeply enough to be useful, not just present. You know Maven's platform and how it interacts with external systems. You can debug a broken integration, read an API error and know where the problem lives, recognize when an intelligent field evaluation is causing a downstream cascade, and describe what's wrong clearly enough that an engineer can fix it immediately. You won't need hand-holding on the technical environment. Translates between customer and engineering. You join working sessions with customers and come out with crisp, actionable documentation. You write the kind of meeting notes and tickets that engineers want to work from. You understand what customers are trying to accomplish, can spot when a request is misframed, and know when to push back internally versus when to escalate. Tests relentlessly before go-live. You run test suites, document what broke and why, validate fixes, and track edge cases with rigor. Runs the operational rhythm. Daily standups, go-live checklists, readiness reviews, metrics readouts — you own the structure that keeps a complex multi-team pilot from going sideways. You're the person who notices when the ClickUp tracker hasn't been updated and fixes it before the Monday client session, not after. Who you are: Organized to the point of being vocal about it. Technically credible without being an engineer. Comfortable sitting in rooms with enterprise stakeholders and with product engineers on the same day. Does not need external motivation to chase someone down when something is stuck. Gets things done. What we offer: High Impact in cutting-edge field: Be at the vanguard of AI innovation. Compensation Package: Competitive salary, comprehensive benefits, and meaningful equity stakes. Inclusive Culture: A diverse and welcoming work environment where everyone’s voice is heard. What unites us are our values and the passion we share to live by them: Do right for our customers We are data-driven Be entrepreneurial Strive to be better, together MavenAGI is an equal opportunity employer that values diversity and is committed to fostering an environment where everyone feels included.
Lead AI solution adoption through technical demos, solution design, and proof-of-concept engagements. | Technical fluency in NodeJS, NextJS, TypeScript, AI tools, with pre-sales experience and understanding of LLMs and RAG. | Company Overview Maven AGI is an enterprise AI platform on a mission to unleash business artificial general intelligence (AGI), starting with customer service. Founded in July 2023 by executives from HubSpot, Google, and Stripe, Maven builds conversational AI agents capable of delivering accurate, autonomous support that delights customers at scale. Our platform unifies fragmented systems, integrates knowledge and personalization sources, and enables intelligent actions—all without costly system changes. We're laying the foundation for a future where our technology handles complex tasks, allowing people to focus on creative problem-solving, relationship building, and delivering exceptional customer experiences. Position Overview As a Solutions Engineer at Maven AGI, you will be a critical member of our go-to-market team, driving the adoption of our AI solutions. Your role involves understanding customer challenges, designing tailored solutions, and demonstrating how our technology delivers tangible business value. This position demands technical curiosity, sales acumen, and a passion for helping customers succeed—often in an environment where there is no playbook. What You'll Do Technical Demonstrations: Lead compelling technical demos and proof-of-concept exercises that guide prospects through the art of the possible with AI-powered customer support. Solution Design & Scoping: Partner with sales to translate customer requirements into tailored solutions, scoping engagements that address specific pain points and deliver measurable ROI. Customer Discovery: Engage directly with customers—from VPs of Support to CTOs—to understand their business goals and technical requirements, acting as a trusted advisor throughout the sales cycle. POC Ownership: Run proof-of-concept engagements as the primary technical resource, ensuring successful outcomes that build confidence and drive deals forward. Implementation Planning: Build clear implementation plans that capture requirements, define scope, and enable smooth handoffs to Forward Deployed Engineers and post-sales teams. Demo Development: Build and modify demo applications using AI-assisted development tools to showcase product capabilities and support customer-specific use cases. Feedback Loop: Gather insights from customer interactions to inform product development and improve our offerings. Who You Are Obsessively Curious: You tinker with things until you understand them. You're a self-starter who thrives when there's no playbook. Comfortable with AI-Assisted Development: You regularly use tools like Claude Code, Cursor, or GitHub Copilot. You can understand what code does at a high level and leverage AI to build functional demos and prototypes. Technically Fluent: Comfortable with NodeJS/NextJS/TypeScript stack. Foundational knowledge of software development lifecycle, cloud infrastructure, and basic security concepts. Broad AI/LLM Understanding: You understand how enterprise AI solutions work (RAG, embeddings, knowledge retrieval) at a conceptual level, with the ability to learn depth on the job. Sales-Focused Mindset: Previous experience in sales engineering or pre-sales, with a track record of supporting successful sales outcomes. Confident Communicator: Comfortable presenting technical content to audiences with more experience and seniority than you. You become the product expert in the room. Thrives in Ambiguity: You can prioritize effectively when facing competing demands with limited guidance. You're comfortable making decisions without a playbook. Customer-Centric: Strong interpersonal skills with the ability to build relationships and influence decision-makers at all levels. Technical Requirements Familiarity with NodeJS/NextJS/TypeScript (primary stack) Regular use of AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, etc.) Foundational understanding of SDLC, CI/CD, and development workflows Basic knowledge of cloud infrastructure (AWS, GCP, or Azure concepts) Understanding of basic security posturing and compliance considerations Ability to read, understand, and explain code—even when AI-generated Experience with REST APIs Nice to Haves Experience with ETL tools, and data integration solutions Background in customer support operations or CX technology Experience with platforms like Salesforce, Zendesk, or Freshdesk What We Offer High Impact: Be at the vanguard of AI innovation in enterprise customer support. Compensation: Competitive salary, comprehensive benefits, and meaningful equity. Culture: A diverse and welcoming environment where everyone's voice is heard. Our Values Do right for our customers We are data-driven Be entrepreneurial Strive to be better, together Maven AGI is an equal-opportunity employer that values diversity and is committed to fostering an environment where everyone feels included. Join us in changing the face of enterprise customer support!
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