Senior Product Manager at Raynmaker designing AI-driven sales and service workflows. Collaborating with engineering and leadership to redefine automation for small and medium businesses.
Responsibilities
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.
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.
Work hands-on with call recordings, transcripts, supervisor-agent outputs, RAG logs to diagnose failures, identify gaps, and guide engineering solutions.
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.
Partner directly with engineering, implementation, sales, and leadership to bring clarity and direction.
Drive alignment around product rationale across technical and non-technical stakeholders.
Support internal tools, configuration dashboards, QA harnesses, and other operational systems.
Own external-facing surfaces such as reporting dashboards and performance insights.
Track emerging LLM techniques, architectures, and agentic patterns. 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.
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