Senior Product Manager

Helping People Achieve Their American Dream! Paratrooper| Veteran | Podcaster

Job Overview

Raynmaker is redefining sales for small and medium‑sized businesses with an enterprise‑grade, end‑to‑end autonomous platform. Powered by our proprietary RaynBrain™ sales insight engine, Raynmaker converts leads into customers by handling every step of the sales journey—first contact to closed deal—with an AI agent that books appointments, takes payments, and answers questions 24/7, all in a lifelike, brand‑aware, context‑sensitive human voice. For SMBs, it’s like hiring a world‑class sales team on demand.

About Raynmaker

Raynmaker focuses on creating high‑impact AI‑driven sales tools that scale with the growth of small and medium businesses. The team blends engineering, design, and customer success to deliver autonomous voice agents that replace entire workflows.

About The Role

You will build at the frontier of AI, where agents don’t just augment humans—they replace entire workflows for small and medium businesses. You’ll work directly with founders, engineers, and real customers to push the boundaries of what autonomous voice agents can actually do. Your contributions will shape the product, strategy, and industry we’re redefining.

You’ll ship real AI quickly, learn continuously, and create measurable revenue every day.

Why You?

You’re a product thinker with a technical backbone—comfortable bridging the gap between engineering complexity and real‑world user needs. You’ve shipped features in agile environments, written clear specs, worked with engineers and QA, and know how to prioritize for speed without sacrificing impact. You thrive in a dynamic environment and move quickly from idea to execution.

Whether refining a multi‑step AI workflow or identifying a fast path to unblock users, you break down complexity into action. You care about outcomes, not just output—and you drive measurable improvements through experimentation, iteration, and smart defaults. You have a foundational understanding of how software is built and are excited by the challenge of translating emerging AI technologies into simple, effective product experiences.

You want to build tools that matter, collaborate tightly with high‑agency teams, and own the full lifecycle from prototype to production.

What You’ll Do

AI Agent & Workflow Design

• Build voice‑AI powered workflows that automate full‑funnel sales and service operations (inbound call flows, qualification, pricing logic, sentiment‑based branching, scheduling, payments).
• Collaborate with engineering to design agent architectures blending:
• LLM reasoning
• RAG pipelines
• Structured or rule‑based logic
• Guardrails and evaluator loops
• Own prompt flows end‑to‑end: conversation design, edge‑case handling, fallback logic, experiment configurations, and continuous tuning.

Product Specs That Drive Real Builds

• Write crisp, implementable PRDs with tight MVPs and explicit logic (no ambiguity, no fluff).
• Define success metrics aligned to operational performance:
• Conversion rate
• Handle time
• Zip code accuracy
• Payment completion
• Deflection to scheduling
• Agent containment
• Translate field learnings into spec revisions with rapid iteration cycles.

AI Systems Thinking

• Turn complex concepts (embeddings, vector DBs, retrieval strategies, agentic chaining) into clear product decisions.
• Work hands‑on with call recordings, transcripts, supervisor‑agent outputs, and RAG logs to diagnose failures, identify gaps, and guide engineering solutions.

Fast, Iterative Build Cycle

• Identify and triage edge cases quickly based on business and user impact.
• Run tight feedback loops using real customer calls, tuning cycles, and human‑in‑the‑loop labeling.
• Move prototypes into production with clean documentation and clear engineering handoffs.

Cross‑Functional Leadership (Without Bureaucracy)

• Partner directly with engineering, implementation, sales, and leadership to bring clarity and direction.
• Drive alignment around product rationale across technical and non‑technical stakeholders.
• Bring decisiveness where there is ambiguity and momentum where there is drift.

Lifecycle Ownership

• Support internal tools, configuration dashboards, QA harnesses, and other operational systems.
• Own external‑facing surfaces such as reporting dashboards and performance insights.
• Take features from whiteboard → prototype → production rollout → post‑launch optimization.

Stay Ahead of the AI Curve

• Track emerging LLM techniques, architectures, and agentic patterns.
• Proactively incorporate new capabilities into product strategy.
• Advocate for smart, practical adoption of innovations that materially improve performance.

Requirements

• 4+ years in Product Management, with meaningful hands‑on experience building AI/ML or automation‑heavy products.
• Demonstrated experience designing or shipping LLM‑powered workflows or agentic systems.
• Strong technical fluency:
  • Embeddings
  • Vector search / vector DBs
  • RAG pipelines
  • Prompt engineering
  • Evaluation & tuning methods
• Ability to write zero‑ambiguity PRDs and logic flows.
• Able to operate in early‑stage velocity with evolving specs and constant iteration.
• High ownership, clarity, and follow‑through.

Nice to Have

• Experience with voice platforms or conversational AI.
• Familiarity with compliance‑heavy flows (payments, PCI, PII).
• Startup/hypergrowth track record shipping complex systems under time pressure.

We are committed to fostering a diverse, inclusive, and equitable workplace where all individuals are valued, respected, and empowered, regardless of their background, identity, or beliefs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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