Principal Product Builder, Agent Analytics & Optimization

• Build to think: Instead of writing a 20-page spec, you spin up a working prototype to test your hypothesis. Your artifacts are software, not slide decks. - AI-native workflow: You use AI coding tools as a force multiplier—not to replace engineers, but to close the gap between "idea" and "something customers can react to."
• End-to-end ownership: You own the product from strategy through execution. You don't toss requirements over the wall; you're in the code, in the data, and in front of the customer. - Still a product leader: This is a PM-first role with builder superpowers. You lead product strategy, customer discovery, and prioritization—and you also ship. What Success Looks Like

Product Vision & Strategy

• Own product outcomes: defining vision, strategy, roadmap, and success metrics. - Discover and define the category: talk to customers weekly, map workflows, validate problems, and translate insights into sharp product bets. - Turn ambiguous, fast-moving market signals into clear product direction with strong conviction. Build & Ship

• Use AI development tools (Cursor, Claude Code, Windsurf, Replit, v0, etc.) to rapidly prototype concepts, validate UX hypotheses, and create working demos that accelerate team alignment and customer feedback. - Partner deeply with engineering, design, and data/ML to ship high-quality product experiences from concept to launch to iteration. - Create internal tools, dashboards, and proof-of-concept applications that solve immediate team or customer needs. Execution & Leadership

• Drive execution: prioritize ruthlessly, unblock teams, manage tradeoffs, and ensure timely delivery. - Bridge the gap between product thinking and technical implementation—you should be equally comfortable in a customer interview and reviewing a system architecture. - Contribute to a culture where building is the default mode of exploration, not just analysis and documentation. Who You Are

Product DNA

• 5–10+ years in product management, with meaningful experience in analytics, data platforms, developer tools, or AI/ML products. - Energized by 0→1 ambiguity and can turn fuzzy problems into crisp product direction. - Customer-obsessed but practical—deep empathy plus strong prioritization. - Communicate clearly in writing and in live discussions. Can zoom out (strategy) and zoom in (details) without getting stuck in either. - Build alignment fast and keep teams moving. Builder DNA

• Actively use AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot, Replit, v0) to build prototypes, internal tools, or production-adjacent artifacts. Show us what you've built. - Comfortable reading and modifying code (Python, JavaScript/TypeScript, SQL, or similar). You don't need to be a senior engineer—but you can't be code-averse. - Engineering background, CS degree, or equivalent hands-on technical experience is strongly preferred. - Experience with or strong interest in: LLM application development, agentic systems, RAG architectures, prompt engineering, or AI evaluation frameworks. - Have shipped something you personally built (side project, internal tool, prototype, open-source contribution)—not just managed the backlog for. Bonus Points

• Experience in digital experience analytics, observability, or APM. - Familiarity with conversation analytics, agent evaluation, or LLM-ops tooling. - Published writing, talks, or open-source work demonstrating thought leadership at the intersection of product and AI. - Experience building with AI agent frameworks (LangChain, CrewAI, AutoGen, etc.). What We Offer

• A front-row seat to a category being created in real time—agent analytics is where web analytics was in 2005. - A team that values builders: we don't just talk about AI, we use it every day to move faster. - A hybrid role where you shape both the "what" and the "how"—strategy meets craft. - Competitive compensation, equity, and benefits. If you've ever thought "I wish I could just build this instead of writing another PRD"—this role is for you.

The expected salary range for this full-time position is $180,000 - $230,000*+ equity + benefits. The actual level and compensation are determined by several factors, such as your qualifications, professional background, and relevant experience.*

To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.ai.