Principal Product Builder, Agent Analytics & Optimization
About The Position
Conviva is seeking a Principal Product Builder, Agent Analytics & Optimization, a next-generation product role focused on building and iterating rapidly with AI-powered tools. This role is for a product leader who actively builds, prototypes, and ships software, rather than solely writing specifications. The position involves defining and leading a new category of analytics and optimization for AI agent experiences. The Product Builder will use AI coding tools to prototype features, validate ideas with working software, and collaborate with engineering, design, and go-to-market teams to ship quickly and learn constantly. The role emphasizes end-to-end ownership, from strategy to execution, with a hands-on approach to coding and data analysis. Success in this role involves owning product outcomes, defining vision and strategy, discovering and defining the category through customer interaction, and rapidly building and shipping product experiences. The ideal candidate is energized by ambiguity, customer-obsessed, and comfortable bridging the gap between product thinking and technical implementation. This role offers a unique opportunity to be at the forefront of a rapidly evolving field, shaping the future of agent analytics.
Requirements
- 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.
- Actively use AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot, Replit, v0) to build prototypes, internal tools, or production-adjacent artifacts.
- Comfortable reading and modifying code (Python, JavaScript/TypeScript, SQL, or similar).
- 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.
Nice To Haves
- 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.).
Responsibilities
- Define and lead a brand-new category: analytics and optimization for AI agent experiences.
- Use AI coding tools to prototype features, validate ideas with working software, and move from insight to artifact faster than any traditional product process allows.
- Work at the intersection of product strategy and hands-on creation, partnering with engineering, design, and go-to-market to ship quickly, learn constantly, and set the direction for where agent analytics goes next.
- 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.
- Rapidly prototype concepts, validate UX hypotheses, and create working demos that accelerate team alignment and customer feedback using AI development tools.
- 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.
- 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.
Benefits
- Competitive compensation, equity, and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
