At Kantiv, we’re building AI systems that don’t just respond—they reason, plan, and act. We’re looking for a hands‑on Product Manager who can dive into technical detail, sit shoulder‑to‑shoulder with developers and data scientists, and still keep an eye on the big picture. This is a role for someone entrepreneurial—comfortable with ambiguity, fast cycles, and the hustle it takes to turn bleeding‑edge AI into production systems that actually work.
What You'll DoDrive Product Development
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.
Own the Roadmap & Execution
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.
Customer & Market Insight
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.
Leadership & Culture
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.
5+ years of product management or technical leadership in SaaS/AI/ML products.
Strong technical fluency—you understand LLMs, embeddings, RAG, and can engage in technical design sessions with engineers.
Demonstrated ability to debug, problem‑solve, and make informed decisions in ambiguous situations.
Entrepreneurial drive: you’re comfortable with imperfect information, quick pivots, and hustling to deliver value.
Relentless attention to detail and pride in shipping high‑quality, production‑ready systems.
Bonus Points
Prior experience as a software engineer, data scientist, or in a highly technical role.
Exposure to agent frameworks, ML pipelines, or workflow automation.
Experience working in early‑stage startups where speed and ownership are everything.
Competitive salary and equity.
Flexible PTO and remote work options.
A seat at the table in defining how autonomous AI gets built and shipped.
Access to top AI tools, research, and compute resources.
The chance to help shape a company where product, engineering, and AI innovation move as one team.
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