Available for Hire Product Management PRD & Feature Prioritization

Miles

AI Product Manager & Spec Specialist

Own the Roadmap, Prioritise Features & Draft PRDs —
Autonomously

Your AI Product Manager continuously clusters customer feedback from Intercom, scores feature backlogs with RICE, generates complete engineering-ready PRDs, and keeps roadmaps synchronized across Jira and Linear — 24/7.

⚙️ 65% Faster Turnaround · Zero Bottlenecks

65% Faster Delivery

90% Fewer Syncs

Hire Miles — Free Trial Book an Enterprise Demo

Synthesize all user feedback from Intercom and Gong regarding CSV exports from the past 60 days. Score the feature on RICE and draft an engineering-ready PRD for Q4.

Synthesized 142 feedback mentions ($420k total ARR impact) across Intercom, Zendesk, and Gong sales calls.

Feedback Analysis & RICE Scoring:
• Primary Complaint: 64% of enterprise users timeout when exporting >50,000 rows. 28% request asynchronous email delivery with S3 signed download links.
• RICE Score: 92/100 (Reach: 4,800 orgs • Impact: 3/3 High Retention • Confidence: 90% • Effort: 5 Story Points).

PRD Summary Drafted (Async Big Data Exporter):
1. User Story: As an enterprise analyst, I want to request 1M+ row exports asynchronously so that my browser never freezes.
2. Acceptance Criteria: Background worker generates parquet/gzip; sends email notification when ready; link expires in 48h; rate-limited to 5 exports/hour per user.
3. Telemetry: Track export_requested, export_completed, and download latency metrics in PostHog.

Create Jira Epic & Stories Push PRD to Linear Save to Notion Product Hub Share with Eng Leads

Create the Jira Epic with 4 user stories and sync the updated Q4 Roadmap in Notion.

Executed in 380ms:
• Jira Epic Created: PROD-812 (Async Big Data Exporter) with 4 breakdown stories & acceptance criteria.
• Notion Synced: Q4 Product Roadmap table updated with RICE ranking #2.
• Slack Broadcast: Spec summary shared with #team-eng-architecture for sprint estimation.

Autonomous Capabilities

9 Major Capabilities of Your AI Product Manager & Spec Specialist

Everything your organization needs to eliminate repetitive manual bottlenecks, enforce operational compliance, and accelerate team velocity 24/7.

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots

24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime

Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots

24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime

Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots

24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime

Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs

Not a Tool. An Executive Partner.

A Strategic Product Partner That Connects Customer Voice to Engineering Delivery.

Traditional product roadmaps are static spreadsheets that become outdated within weeks. Your AI Product Manager actively aggregates feedback from sales and support, scores backlog ideas with objective frameworks (RICE/ICE), drafts complete specs, and keeps everyone aligned 24/7.

Continuous Feedback & Revenue Clustering

Ingests feedback across Intercom, Zendesk, and Gong calls — categorizing requests and attaching pipeline dollar values.

Objective RICE & ICE Prioritization

Calculates Reach, Impact, Confidence, and Effort to eliminate subjective opinions and prioritize features with maximum ROI.

Automated PRDs with Acceptance Criteria

Drafts comprehensive PRDs with user stories, technical considerations, analytics event specs, and edge-case handling.

Audience-Tailored Stakeholder Digests

Generates customized release notes for sales, executive roadmaps for leadership, and sprint goals for engineering.

Manual Product Management vs. AI Product Manager

Manual Product Workflow

AI Product Manager

Feedback scattered across Slack, Gong, and tickets

Unified feedback clustering linked to pipeline revenue

Subjective prioritization influenced by loudest voice

Data-backed RICE/ICE scoring on business impact

Hours spent writing PRDs and user stories

Complete PRDs with edge cases generated in 30 seconds

Outdated roadmaps in Jira, Notion, and slides

Live bi-directional sync across all tools

Sales and support left in the dark about releases

Automated weekly Slack updates tailored per department

Custom AI Employee Studio · 10-Step Builder

Need a Custom AI Product Manager?
Build & Tailor in 10 Steps

Want custom PRD authoring, user story writing, and engineering sprint estimation workflows, proprietary playbooks, bespoke integrations, or specialized business rules? Follow these 10 steps to design, customize, test, and deploy a custom AI Product Manager tailored precisely to your company's operational motion.

Identity

Roles

Skills

Tasks

Schedules

Workflows

Memory

HITL

Testing

Deploy

Name & Identity

Give your AI employee a name, department, and operating persona

Start by giving your AI Product Manager an identity. This is how your team will interact with it across Slack, Microsoft Teams, email threads, and the executive dashboard. Define its department and configure its communication style for peer-to-peer enterprise execution.

Pro tip: Give it a recognizable name like "AI Product Manager" so team members can mention it in Slack channels just like any other colleague.

Employee Name

Department

Avatar & Status

Online · Ready to configure

Roles & Responsibilities

Define what your AI Product Manager is accountable for

Establish clear ownership for your AI Product Manager. Each role maps to a verified set of capabilities, platform connectors, and execution policies. Your AI employee operates with direct accountability — managing end-to-end tasks without requiring human hand-holding.

Pro tip: Start with core departmental responsibilities and expand anytime. Your AI employee learns your company SOPs and coordinates complex workflows continuously.

Feature Prioritisation (RICE / ICE)

User Feedback Synthesis

Live Roadmap Maintenance

PRD & Sprint Brief Generation

Skills Configuration

Select and configure modular capabilities and tool connectors

Enable modular skills tailored for your operational requirements. Each skill connects to verified enterprise software integrations via secure OAuth2 or API tokens. Toggle skills on or off in one click with zero engineering dependencies.

Pro tip: Every skill comes pre-trained on industry best practices and enforces strict data validation before executing writes to production systems.

Feature Prioritisation (RICE / ICE)

Conversational CoreSupervised Control

User Feedback Synthesis

Scheduled AutomationRICE Scoring

Live Roadmap Maintenance

ICE FrameworkROI Ranking

PRD & Sprint Brief Generation

IntercomGong Transcripts

Tasks Assignment

Define daily operational deliverables and priority tiers

Specify the daily task backlog your AI Product Manager will execute. Tasks can run on autonomous schedules or trigger in real-time when team members send requests via chat. Critical items take priority to prevent operational delays.

Pro tip: Set high-impact triage and alert tasks to Critical priority. This guarantees sub-minute reaction times whenever issues or high-priority requests arrive.

Execute feature prioritisation (rice / ice) audit & status verification

Critical

Execute user feedback synthesis audit & status verification

High

Execute live roadmap maintenance audit & status verification

High

Execute prd & sprint brief generation audit & status verification

Medium

Execute stakeholder updates & digests audit & status verification

Medium

Schedules & Cron Jobs

Set recurring cron times for autonomous execution

Configure exactly when each recurring process runs using RhinoAgents' enterprise job scheduler. Define cadences in plain English — morning audits, hourly scans, and weekly executive digests. Your AI employee operates around the clock without downtime.

Pro tip: Schedule morning scans prior to office hours. Your team starts each day with resolved requests, updated records, and clean summary briefings waiting in Slack.

07:00 AM

Morning operational audit & pending queue scan

Daily

Every 15m

Real-time event ingest, triage & autonomous resolution

Active

01:00 PM

Midday velocity check & SLA milestone verification

Daily

05:30 PM

End-of-day execution recap & exception digest to Slack

Daily

Fri 04:00 PM

Weekly executive analytics & productivity briefing

Weekly

Workflows & Automation

Construct visual end-to-end execution pipelines

Build end-to-end automated pipelines connecting triggers, intelligence nodes, decision logic, and tool actions. When events occur, the entire execution flow fires autonomously with built-in rollback protection and complete status logging.

Pro tip: Add conditional branch logic to handle edge cases. High-confidence routine paths run instantly, while high-value actions pause for quick team sign-off.

Event Trigger (Conversational Core)

Context & Policy Evaluation

Validation Check

Autonomous Action (Supervised Control)

HITL Approval (if > threshold)

Verified & Logged to Audit Trail

Memory & Knowledge Base

Upload company SOPs, manuals, rubrics, and guidelines

Equip your AI Product Manager with private institutional memory. Upload company handbooks, playbooks, rubrics, API specifications, and style guides. RhinoAgents' vector RAG engine securely indexes these documents to ensure every output strictly adheres to your internal standards.

Pro tip: Upload real past examples of high-performing work. Your AI employee extracts formatting nuances, terminology, and tone directly from your best files.

AI Product Manager Standard Operating Procedures.pdf

Indexed · 48 pages

Indexed

Enterprise Compliance & Quality Rubric.docx

Indexed · 24 rules

Indexed

Historical Benchmark & Best Practice Dataset.xlsx

Indexed · 1,420 rows

Indexed

System Integration & Schema Reference.json

Indexed · 12 endpoints

Indexed

Human-in-the-Loop Rules

Configure 1-click approvals for sensitive operations

Maintain rigorous oversight without bottlenecking daily throughput. Define which actions execute autonomously and which require 1-click sign-off from designated team leads in Slack or Microsoft Teams. Full speed where safe, 100% control where critical.

Pro tip: Approvals are delivered as interactive Slack cards. Review context, diffs, and estimated impact, then click Approve or Reject in one second directly from your phone.

Sensitive State Transitions or High-Value Actions

Requires 1-click team lead approval in Slack before write commit

Approval Required

Routine Data Extraction, Reconciliation & Ingest

Runs autonomously with full cryptographic audit logging

Auto-Run

Out-of-Policy Exceptions or Unmatched Records

Quarantined immediately with incident card dispatched to designated lead

Approval Required

Daily Telemetry & Digest Dispatches

Published to private department channels automatically on schedule

Auto-Run

AI Evaluation & Testing

Validate accuracy and test edge cases before deployment

Test your AI Product Manager against real-world sample prompts, messy data inputs, and edge-case scenarios before granting production write access. Verify that guardrails hold, integrations authenticate, and outputs meet your quality bar.

Pro tip: Run synthetic test conversations across three different difficulty tiers to calibrate accuracy scores and ensure bulletproof reliability.

99.2%

Domain Accuracy & Adherence Benchmark

Evaluated against 5,000+ synthetic and historical enterprise prompts

Pass

< 1.8s

End-to-End Processing Latency

Average turnaround time per event ingest and execution cycle

Pass

99.98%

Integration Reliability & Uptime

Continuous automated health checks with auto-retry logic

Pass

Workflow Logic & Gate Verification

All trigger → action → decision → output branches validated

Pass

Multi-Channel Delivery Test

Slack, Teams, Email, and Webhook dispatch latency sub-1.5s

Pass

Deploy & Run Your AI Product Manager

Go live in under 24 hours — full telemetry for $20/mo

Your AI Product Manager is fully configured and ready to join your team. One-click deploy connects it to your live workspaces. Team members can chat with it immediately, while managers track execution via real-time dashboards and audit logs.

Pro tip: Review telemetry and completed actions at the end of day one. Teams typically report Reclaims 25+ hours/week per operator within the first week of deployment.

Deploy AI Product Manager

Agent Status

Online · Running 24/7

Operational Output

100% operational uptime · Zero-defect execution

Business Impact

Reclaims 25+ hours/week per operator

Audit Log

Complete immutable trail active

Deploy for $20/mo

Verified Customer Stories

Rated 4.9/5 by High-Growth Organizations

See how leading enterprise teams eliminate manual bottlenecks, enforce compliance, and accelerate output 24/7 with their AI AI Product Manager & Spec Specialist.

2x Strategic Velocity

"Having Miles run our weekly operations cadence and monitor departmental deliverables has completely eliminated cross-functional silos. Our strategic execution speed has doubled."

15+ Hrs Saved / Wk

"Board decks, investor updates, and weekly executive briefings that used to take days of manual data aggregation are now ready in minutes. Miles connects all our tools into one unified executive brain."

Zero Missed Deadlines

"The autonomous scheduling and proactive risk-flagging that Miles provides ensures zero deliverables fall through the cracks. It has become an indispensable member of our leadership team."

PRD Writing & Backlog Prioritization Fit

Engineered for Every Stage of Product Velocity

From drafting comprehensive Product Requirement Documents (PRDs) and user stories to synthesizing customer feedback and prioritizing sprint backlogs — accelerate product execution 24/7.

Early Stage • 1–15 Engineers

Seed Startups & Technical Founders

Turn loose founder ideas and customer feedback calls into crystal-clear engineering specifications with acceptance criteria in minutes instead of days.

Ideal For

Early Tech Startups, Boutique Product Studios, Technical Founders

5x Faster PRD Turnaround • 0 Ambiguous User Stories

Growth Scale • 15–75 Engineers

High-Growth Scale-Ups & Multi-Squad Tech Teams

Synthesize hundreds of customer Gong call transcripts and Intercom tickets into RICE/MoSCoW prioritized feature roadmaps with release readiness checklists.

Ideal For

Series A-C Tech Scale-Ups, Digital Product Companies, High-Velocity App Studios

40% Shorter Feature Definition Cycles • Automated User Story Splitting

Enterprise • Multi-Product Lines

Enterprise Product Organizations & Portfolios

Coordinate complex cross-product dependencies, executive stakeholder alignment briefings, regulatory compliance reviews, and launch impact analytics.

Ideal For

Enterprise Software Portfolios, Global FinTech Companies, Healthcare Tech Providers

Full Cross-Squad Dependency Alignment • Executive Roadmaps

Deployed Across High-Velocity Product Teams

B2B SaaS & Enterprise Software Consumer Mobile & Web Apps FinTech & Wealth Management Digital Health & Clinical Apps E-Commerce Tech & Marketplaces Gaming & Interactive Platforms Supply Chain & Logistics Tech EdTech & Learning Platforms

Simple, Transparent Pricing

Start Free. Scale as You Grow.

Transparent pricing with zero per-seat user taxes. Choose the tier that matches your current momentum and deploy your autonomous workforce in minutes.

Free Trial

Experience your first autonomous agent live in production.

$0 / 14 days

1 Autonomous AI Agent Role
1,000 Free Action Credits
Core Web & Document Tools
Community & Knowledge Base
No Credit Card Required

Start Free 14-Day Trial

Starter

Ideal for solo operators, local businesses, and small teams.

$20 / month

Up to 3 AI Employee Roles
10,000 Monthly Action Credits
Full Knowledge Base (RAG) Sync
Calendar, Email & CRM Sync
Unlimited Human Teammates

Deploy Starter Agent

Frequently Asked Questions

How does an AI Product Manager synthesise customer feedback?

Your AI Product Manager continuously ingests customer feedback from Intercom, Zendesk tickets, G2/Trustpilot reviews, Gong call transcripts, and Slack channels. It clusters recurring pain points, attaches ARR impact to feature requests, and surfaces actionable product themes.

How does feature prioritisation (RICE scoring) work?

The AI calculates Reach (target user volume), Impact (revenue/retention uplift), Confidence (supporting data points), and Effort (story point estimation). It ranks backlog ideas objectively and maps them to upcoming sprint quarters.

Can the AI Product Manager generate full PRDs and sprint briefs?

Yes. Given a feature objective, the AI writes structured Product Requirements Documents (PRDs) including user personas, problem statements, user stories, acceptance criteria, edge-case handling, and telemetry tracking specs — ready for engineering review.

What tools does the AI Product Manager connect to?

It natively integrates with Jira, Linear, Notion, Productboard, Aha!, Amplitude, Mixpanel, PostHog, Slack, Gong, Intercom, Zendesk, and 400+ more tools via RhinoAgents.

Can I enforce Human-in-the-Loop approvals before updating roadmaps?

Yes. You can require 1-click approval in Slack for newly generated PRDs, quarter roadmap shifts, or feature rank adjustments before updates publish to Jira or stakeholder portals.

Is our proprietary product strategy and customer data secure?

Yes. All data is encrypted with AES-256 and TLS 1.3 under SOC 2 Type II and GDPR controls. RhinoAgents never trains foundation models on your internal product specs or customer transcripts.

Who is this AI Product Manager built for?

This AI employee is built for organizations across 3 primary tiers: (1) Seed Startups & Technical Founders (Early Tech Startups, Boutique Product Studios, Technical Founders) — Turn loose founder ideas and customer feedback calls into crystal-clear engineering specifications with acceptance criteria in minutes instead of days.; (2) High-Growth Scale-Ups & Multi-Squad Tech Teams (Series A-C Tech Scale-Ups, Digital Product Companies, High-Velocity App Studios) — Synthesize hundreds of customer Gong call transcripts and Intercom tickets into RICE/MoSCoW prioritized feature roadmaps with release readiness checklists.; and (3) Enterprise Product Organizations & Portfolios (Enterprise Software Portfolios, Global FinTech Companies, Healthcare Tech Providers) — Coordinate complex cross-product dependencies, executive stakeholder alignment briefings, regulatory compliance reviews, and launch impact analytics.. Key supported industries include B2B SaaS & Enterprise Software, Consumer Mobile & Web Apps, FinTech & Wealth Management, Digital Health & Clinical Apps, E-Commerce Tech & Marketplaces, Gaming & Interactive Platforms, Supply Chain & Logistics Tech, EdTech & Learning Platforms.

How much does AI Product Manager cost?

RhinoAgents offers transparent pricing with no per-seat human fees: Free Trial ($0 for 14 days, 1 AI employee, 1,000 credits), Starter ($20/month for up to 3 AI employees, 10,000 credits), Pro ($49/month for up to 5 AI employees, 50,000 credits with persistent memory & Human-in-the-Loop), Business ($99/month for up to 10 AI employees, 150,000 credits with 400+ connectors), and Custom Enterprise plans ($1,000+/month) with dedicated VPC or on-premise deployment. Unlimited human team members can collaborate with the AI employee without paying extra user seat fees.

Miles

Own the Roadmap, Prioritise Features & Draft PRDs —Autonomously

9 Major Capabilities of Your AI Product Manager & Spec Specialist

Real-Time Risk Scoring & Anomaly Alerts

Autonomous Job Scheduling & Continuous Cadence

Cross-Platform Ecosystem & API Orchestration

Real-Time Risk Scoring & Anomaly Alerts

Autonomous Job Scheduling & Continuous Cadence

Cross-Platform Ecosystem & API Orchestration

Real-Time Risk Scoring & Anomaly Alerts

Autonomous Job Scheduling & Continuous Cadence

Cross-Platform Ecosystem & API Orchestration

A Strategic Product Partner That Connects Customer Voice to Engineering Delivery.

Need a Custom AI Product Manager?Build & Tailor in 10 Steps

Rated 4.9/5 by High-Growth Organizations

Engineered for Every Stage of Product Velocity

Seed Startups & Technical Founders

High-Growth Scale-Ups & Multi-Squad Tech Teams

Enterprise Product Organizations & Portfolios

Start Free. Scale as You Grow.

Frequently Asked Questions

Own the Roadmap, Prioritise Features & Draft PRDs —
Autonomously

Need a Custom AI Product Manager?
Build & Tailor in 10 Steps