Product Engineer

Product Engineer

MFour Mobile Research, Inc. Kansas City, Missouri, United States Engineering

Welcome to MFour

At MFour, we’re transforming how businesses understand consumers in an increasingly complex, AI-driven world. Founded in 2011, we are a leading consumer intelligence platform delivering validated, connected, and opt-in data that powers smarter, faster decision-making.

What sets us apart is our ability to connect what consumers say with what they actually do. Through our proprietary platform, MFour Studio™ and our flagship app Surveys On The Go®, we combine survey data with real-world behaviors, creating a complete, accurate view of the consumer journey.

We’re also shaping the future of research through innovations like DANI™, our AI-powered assistant that enables teams to quickly analyze data, uncover insights, and take action with confidence. Built on our Fair Trade Data® model, everything we do is grounded in transparency, privacy, and trust. Today, we partner with leading global brands like Google, Microsoft, and Disney to eliminate blind spots and drive better business decisions.

At our core, we believe better data leads to better outcomes!

MFour is seeking a Product Engineer who works the way software engineering is heading: directing AI coding agents to produce the work, then applying the judgment, quality bar, and domain knowledge to make sure what ships is correct. You will be responsible for the research fulfillment systems and the data analysis interfaces that sit on top of them — front-end surfaces used across the data analysis workflow, the backend pipeline that powers them, and the agent supervision layer that governs AI execution throughout the fulfillment lifecycle.

The difference between this role and a traditional IC is how the work gets done: you use AI coding agents as your primary development tool, you direct what they build, you review what they produce, and you own the quality of what goes to production. The technical depth this requires is real — you cannot supervise an agent writing fulfillment pipeline logic if you do not know what correct fulfillment pipeline logic looks like.

Agent-Directed Development

• Use AI coding agents as your primary tool — writing precise specs, reviewing all output before it ships, and overriding when code is functionally correct but architecturally wrong.
• Decompose complex requirements into well-scoped tasks, knowing what to delegate versus handle directly.
• Hold agent-generated code to the same standard as handwritten code.

Research Fulfillment Pipeline

• Own the pipeline from intake through delivery — order configuration and routing, sample allocation, quota management, study execution, fielding logic, and data handoff.
• Specify and validate the business logic agents implement (quota balancing, incidence rate fallbacks, fielding quality controls, data contracts), catching cases where output meets the literal spec but misses operational intent.

Front-End & Data Analysis Surfaces

• Direct agent development of the React-based interfaces for study configuration, execution monitoring, and results access — reviewing for correctness, usability, and design consistency.
• Specify human-in-the-loop interfaces where operators approve AI-initiated actions, with enough clarity for agents to build and enough judgment to catch ambiguity or risk.

Agent Supervision & Execution Control

• Define and maintain the guardrails governing what agents may do autonomously.
• Own the observability and failure recovery systems — logging, alerting, and recovery — that keep agent behavior visible, diagnosable, and recoverable without manual heroics.

Quality, Reliability & Continuous Improvement

• Take personal accountability for everything that ships.
• Triage and remediate technical debt using agents to execute the work.
• Develop the prompting patterns, specification templates, and review checklists that make agent-directed work faster and more reliable.
• Own incident response so each class of failure is permanently retired.

Cross-Functional Collaboration

• Work with product and operations to turn requirements into agent-ready specifications.
• Coordina…