- Job Title: Technical Product Manager
- Location: Plano, Texas, US (Hybrid)
- Employment Type: Full-Time
- Experience Level: 8+ years
- Industry: Technology / SaaS / Data Platforms
About the Role
We are looking for a Product Manager Technical (PM-T) to lead the development of a next-generation, AI-powered Observability Platform that ingests, processes, and visualizes large-scale operational data.
This platform goes beyond traditional monitoring—evolving into an intelligent system powered by AI agents capable of:
- Detecting anomalies
- Diagnosing root causes
- Recommending actions
- Enabling semi/fully autonomous remediation workflows
This role sits at the intersection of product, engineering, data, and AI, requiring strong technical depth in Elasticsearch, MongoDB, MERN stack, and modern data architectures, along with the ability to translate complex requirements into clear, actionable user stories and intelligent workflows.
Key Responsibilities
Product Ownership & Strategy
- Define and drive the product roadmap for the observability platform (logs, metrics, traces, job monitoring)
- Work closely with stakeholders to identify gaps in monitoring, alerting, and analytics
- Prioritize features based on business impact, scalability, and user value
- Define and articulate a long-term vision for the observability platform beyond immediate requirements
- Proactively identify emerging trends in observability (AI-driven monitoring, predictive alerts, anomaly detection, auto-remediation)
- Anticipate customer needs and build features ahead of explicit demand
- Drive innovation by proposing new capabilities, workflows, and insights that differentiate the platform
- Think in terms of platform evolution, not just feature delivery (e.g., from monitoring → insights → predictions → autonomous systems)
- Continuously evaluate gaps in current solutions and translate them into forward-looking product bets
AI Agent & Intelligent Systems Integration (Core Focus)
- Define and drive the vision for AI agents within the observability platform, such as:
- Root Cause Analysis (RCA) agents
- Anomaly detection agents
- Alert summarization agents
- Incident co-pilot / assistant agents
- Design workflows where AI agents:
- Interpret logs, metrics, and traces
- Correlate events across systems
- Provide actionable insights to users
- Collaborate with AI/ML teams to:
- Define model inputs/outputs and feedback loops
- Ensure explainability and trust in AI decisions
- Build human-in-the-loop systems where users can validate, refine, and guide AI decisions
- Define guardrails, accuracy benchmarks, and evaluation metrics for AI-driven features
Product Management - Technical
- Act as a bridge between engineering and business teams with deep technical context
- Write actionable Product Requirement Documents (PRDs) adhering to client requirements and system architecture
- Define system behaviors for both deterministic pipelines and AI-driven workflows
- Ensure seamless integration between:
- Data ingestion pipelines
- Storage layers (Elasticsearch, MongoDB)
- AI inference layers
User Story Definition (Critical Responsibility)
- Write detailed, engineering-ready user stories with:
- Clear acceptance criteria
- Edge cases and failure scenarios
- Data flow and API expectations
- Break down high-level features into granular, sprint-ready stories
- Ensure stories are aligned with system architecture and performance considerations
Observability & Domain Understanding
- Define features around:
- Log ingestion & parsing
- Metrics aggregation
- Alerting & anomaly detection
- Pipeline/job monitoring (ADF, Airflow, etc.)
- Design dashboards, KPIs, and drill-down workflows for users
Execution & Delivery
- Work with engineering teams in agile/scrum setup
- Participate in sprint planning, backlog grooming, and release planning
- Ensure timely delivery with high quality and performance standards
Data-Driven Decision Making
- Define success metrics and KPIs for product features
- Analyze usage patterns and system performance to guide improvements
Requirements
Required Skills:
- Strong understanding of:
- Data Platform (Ingestion, Processing, Quality, Business object and Reporting)
- Elasticsearch
- MongoDB
- MERN stack
- Experience with REST APIs, microservices architecture
Product Management Skills
- 6–8 years of experience in Product Management / Technical Product roles
- Proven ability to build Product roadmap, PRD's and enable engineering team with clear User stories.
- Strong analytical and problem-solving skills
- Stakeholder management, executive communication and collaboration.
- Experience working with engineering teams in agile environments
Domain Knowledge (Preferred)
- Observability / Monitoring tools (e.g., logs, metrics, tracing systems)
- Experience with tools like ELK stack, Datadog, Grafana, or similar platforms
What We're Looking For
- A hands-on PM-T who can go deep into technical details when required
- Someone who can think like an engineer and communicate like a product leader
- Ability to convert ambiguity into structured execution plans
- Strong ownership mindset with attention to detail
Good to Have
- Experience in data engineering or backend development
- Exposure to cloud platforms (Azure/AWS/GCP)
- Experience in building or managing observability platforms
Why This Role is Exciting
- Opportunity to build a next-gen observability platform with AI at its core
- Shape the transition from traditional monitoring tools to autonomous systems
- Work on cutting-edge problems involving data, scale, and intelligence
Pay: From $60.00 per hour
Application Question(s):
- How many PRDs have you personally written and owned end-to-end (not reviewed or co-authored)?
- Name the data pipeline orchestration tool you have used most recently in a product you owned?
- What is your expected annual compensation (base salary)?
- Have you used Elasticsearch & MongoDB in a product you owned or built? (Yes / No)
- Are you legally authorized to work in the United States on a full-time, permanent basis without current or future sponsorship?
- Name the observability or monitoring tool you have worked with as a PM (e.g. Datadog, Grafana, ELK, Splunk, New Relic).
- Which cloud platform(s) have you shipped a product on? (AWS / Azure / GCP / None)
- Have you shipped a product feature powered by an AI or ML model? (Yes / No)
- How many AI-powered features have you taken from requirements to production?
- Have you ever defined accuracy benchmarks or evaluation metrics for a live AI model? (Yes / No)
- On average, how many user stories do you write per sprint?
- What is the largest engineering team (number of engineers) you have directly supported as PM?
- Have you ever managed a product roadmap with a 12-month or longer horizon? (Yes / No)
- How many products have you built on the MERN stack (MongoDB, Express, React, Node.js)?
Experience:
- Product Management: 6 years (Required)
Work Location: Hybrid remote in Plano, TX 75024
