Sr. Technical Product Manager

Kantiv (formerly Joist AI); India; Remote; INR 3,200,000 - 5,200,000; Full time

Benefits offered by this job

Flexible PTO

Remote work options

Equity

Job summary

Kantiv is seeking a Sr. Product Manager for Agentic AI Applications to lead the end-to-end product lifecycle. You will work closely with engineers and data scientists to translate AI concepts into production-ready features and scalable workflows.

You will own the roadmap, prioritize ruthlessly, and ship features in tight iterations while balancing user value and technical feasibility. Strong entrepreneurial spirit and hands-on technical fluency are essential for success.

Qualifications

• 5+ years of product management or technical leadership in SaaS/AI/ML.
• Strong technical fluency in LLMs, embeddings, and RAG.
• Ability to debug and make informed decisions in ambiguous situations.
• Entrepreneurial drive with fast pivots and value delivery.

Responsibilities

• Drive Product Development by translating AI concepts into production workflows.
• Own the Roadmap & Execution with ruthlessly prioritized features.
• Capture Customer & Market insights to inform product direction.
• Provide Leadership & Culture by promoting speed, rigor, and accountability.

Skills

PM experience

AI/LLM fluency

Debugging skills

Ambiguity handling

Entrepreneurial mindset

Job description

Sr. Product Manager – Agentic AI Applications

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 Do

Drive 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.

What You Bring

• 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.

What We Offer

• 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.