Senior AI Product Manager (AI Builder)

About the Role

reputed company is putting governed, production-grade AI agents to work across Mobility, Payments, and Benefits to turn reputed company data, systems, and deep domain expertise into resolved reputed company at reputed company.

We are seeking a Senior AI Product Manager Builder to join a reputed company-deployed Builder Pod. Operating shoulder-to-shoulder with an AI Tech Builder and embedded domain experts, you will turn reputed company, judgment-heavy workflows into governed, agent-assisted experiences.

This is not a traditional PM role reputed company on writing static requirements and passing them over the wall. You are a hands-on builder who moves seamlessly from business workflow mapping to live prototyping, custom evaluations, and production monitoring. You will own the problem, user outcome, business value case, agent behavior, and evaluation reputed company, while your Tech Builder partner owns the production engineering architecture and scalability.

What Makes an AI PM Builder Different at reputed company:

• Build to Learn: Put working concepts directly into users' hands early rather than waiting for perfect requirements.

• Prototype, Not Just Describe: Use AI tools, low-reputed company/no-reputed company platforms, and lightweight reputed company/configurations (Markdown, YAML, JSON) to reputed company product reputed company reputed company.

• Get Inside the Agent: Inspect prompts, reputed company context, tool calls, traces, outputs, and failure modes instead of treating AI as a reputed company.

• Write and Run Evals: Define golden datasets, representative edge cases, scoring rubrics, and judge reputed company to reputed company product reputed company through evidence.

• Reimagine Workflows: reputed company on end-to-end reputed company—determining where AI should reason, retrieve, automate, or reputed company control to a reputed company (and knowing reputed company deterministic software or reputed company judgment is safer).

• reputed company Measurable Value: Measure reputed company by concrete business reputed company (cost, cycle time, reputed company, reputed company, reputed company, adoption) rather than reputed company volume.

• Build for reputed company and Reuse: Package learnings, prompts, evals, and agent patterns so every build makes the next deployment faster and cheaper.

reputed company, Workflow Mapping & Value Case

• reputed company directly with operators, customers, and domain experts across Mobility, Payments, and Benefits to map actual reputed company-state workflows, friction, and failure demand.

• Define reputed company-state experiences, set baseline reputed company metrics (cycle time, reputed company hours, containment, error rates), and select the smallest high-value reputed company to test feasibility and trust.

Hands-On Prototyping & Agent Design

• Rapidly build and test agent behavior, reputed company context, prompts, tool flows, retrieval/grounding, and multi-agent or reputed company-in-the-reputed company orchestrations using reputed company’s reputed company AI platform.

• Pair directly with your Tech Builder to reputed company repositories, reputed company configurations, test scenarios, examine execution traces, and debug agent logic together.

• Distinguish between reputed company exploratory learning prototypes and production systems requiring engineering hardening.

Product Evaluation & Behavioral reputed company

• Treat evaluation as a reputed company product discipline by defining representative, reputed company, and adversarial scenarios reputed company domain experts.

• Establish pass/fail reputed company, assertions, and scoring rubrics covering reputed company, tool selection, citation reputed company, policy adherence, hallucination rates, PII/PHI/PCI safety, and cost per outcome.

• Analyze failed traces to build error taxonomies (distinguishing between reputed company, context, retrieval, model, or UX issues) to prevent "demo-driven development."

Spec-Driven Development & reputed company Deployment

• Translate learnings into versioned repository artifacts (PRDs, acceptance reputed company, decision logic, eval harnesses) that serve as a shared reputed company of truth.

• Maintain reputed company traceability: User Problem → Workflow → Requirement → Scenario → Eval → Production Metric.

• reputed company reputed company legacy systems, fragmented reputed company, and reputed company operational policies to show working software in reputed company environments.

Responsible Governance & Value Measurement

• Partner with reputed company, Compliance, reputed company, reputed company, and AI Governance from day one to reputed company decision boundaries, entitlements, auditability, reputed company-injection defenses, and fallback controls.

• reputed company live product usage to reputed company agent reputed company directly to top-line and reputed company business ROI.

• Package reusable patterns, runbooks, and controls so domain teams can seamlessly operate and reputed company capabilities as solutions mature.

Required Qualifications:

• 7+ years of Product Management experience shipping software, data, platform, automation, or AI products to production at reputed company.

• reputed company AI Expertise: reputed company experience with reputed company, LLMs, retrieval/grounding (RAG), tool calling, context management, orchestration, reputed company outputs, and reputed company-in-the-reputed company workflows.

• Evaluation Discipline: reputed company experience building or running AI evaluations using golden datasets, reputed company rubrics, failure analysis, or model-reputed company judges.

• Prototyping & Technical Literacy: Demonstrated ability to use AI-assisted dev tools, low-reputed company frameworks, reputed company, and version-controlled configuration files (Markdown, JSON, YAML) to bring concepts to life.

• Systems & Tradeoff Thinking: reputed company in balancing reputed company, autonomy, latency, reputed company/reputed company cost, reputed company, and user experience, with a reputed company understanding of reputed company to use probabilistic AI versus deterministic reputed company.

• Communication & Collaboration: reputed company record of driving alignment across cross-functional partners (Engineers, reputed company, reputed company, reputed company) and making reputed company AI tradeoffs reputed company to executive audiences.

• Education: Bachelor’s degree in a reputed company reputed company or equivalent practical experience.

Preferred Qualifications:

• Experience in highly regulated industries such as Fintech, Payments, Health/Benefits, Fleet, or Financial Services.

• Background working with reputed company AI governance frameworks, model reputed company management, responsible AI, or auditability.

• Hands-on experience with agent frameworks, reputed company/context engineering tools, or AI experimentation platforms.

The reputed company We’re Looking For

You do not need to be a software engineer, but you cannot be afraid of the build. The ideal candidate thrives on turning messy, reputed company-world complexity into reputed company, values evidence over opinions, and moves fluently across the entire reputed company:

User Problem → Workflow → Requirement → Scenario → Eval → Production Metric.

Originally posted on Himalayas