Principal Product Engineer

Brightpath Associates LLC; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Brightpath Associates LLC is seeking a Principal AI Product Engineer to lead internal AI operations tooling and knowledge systems. You will design data-first dashboards and interfaces that scale across the org, shipping production-ready software and shaping patterns for AI agents.

You will balance centralized platforms with team autonomy, collaborate with infra and engineering, and prioritize high-impact internal products to accelerate AI initiatives in a Boston-area environment.

Qualifications

• Strong frontend and product design instincts with production code experience.
• Experience building internal tools and dashboards for large teams.
• Familiarity with AI/ML infrastructure and agent-based workflows.

Responsibilities

• Build internal operating tools: dashboards, knowledge systems, and agent-builder interfaces.
• Get the data layer right: centralize vs decentralized data flows for audiences.
• Design how teams build and ship AI agents: interfaces, workflows, patterns.
• Run a portfolio of internal products: prioritize and ship consistently.
• Balance centralized vs decentralized capabilities within a shared platform.
• Partner with infra teams to align platform and exposure layers.
• Use modern agentic tools like Claude Code, Codex, Cursor to accelerate.

Skills

React

Next.js

TypeScript

Tailwind CSS

shadcn/ui

AI/LLM apps

AI agents workflows

Internal tools

Product design

Data architecture

Cloud infrastructure

Tools

Claude Code

Codex

Cursor

Job description

We are looking for a Principal AI Product Engineer to be a foundational hire on a new AI Operations team. This is an internal-facing role focused on building the infrastructure, tools, and experiences that enable teams across an organization to work together effectively.

You will understand how data flows through an organization and expose it at the right level for the right audience. You’ll design internal knowledge systems, decision-making surfaces, dashboards, and patterns that enable teams to build and use AI agents effectively.

The ideal candidate combines strong design instincts with the ability to ship production-quality software. You don't just create mockups—you build, iterate, and deliver the actual product.

There is also a strong product component to this role. You'll receive a steady stream of signals and requests from across the organization, determine what has the highest leverage, prioritize effectively, and manage a portfolio of small internal products simultaneously.

What You'll Do

• Build internal operating tools: Design and ship internal knowledge systems, decision-making surfaces, dashboards, catalogs, agent-builder interfaces, and other tools used across the organization.


• Get the data layer right: Understand how data flows across teams, determine what should be centralized versus decentralized, and design experiences that expose the right information to the right audience.


• Design how teams build and ship AI agents: Create the interfaces, workflows, and patterns through which teams can compose, register, discover, and trust the agents they build.


• Run a portfolio of internal products: Gather requests from across the organization, prioritize based on impact and leverage, sequence the work, and ship consistently.


• Balance centralized vs. decentralized capabilities: Determine which capabilities belong within a shared platform and which should remain owned by individual teams.


• Partner with technical infrastructure teams: Work closely with infrastructure and engineering counterparts to build the platform and experience layers together.


• Use modern agentic development tools: Leverage tools such as Claude Code, Codex, Cursor, or emerging equivalents to accelerate development and ship at high velocity.

What We're Looking For

• Hybrid design + engineering skills: Strong product and design instincts combined with the ability to write and ship production code. You sketch, code, test, and merge your own work.


• Modern frontend expertise: Strong experience with React, Next.js, TypeScript, Tailwind, shadcn/ui, or equivalent technologies. Comfortable working across the frontend/backend boundary when necessary.


• Experience with agentic coding tools: Comfortable using AI-powered development environments such as Claude Code, Codex, Cursor, or similar tools as part of your everyday workflow.


• Strong product judgment: Able to manage multiple competing requests, prioritize based on leverage and impact, and make thoughtful decisions in ambiguous environments.


• Excellent design taste: Strong attention to UI/UX details including information density, spacing, interaction patterns, usability, and overall product quality.


• Systems thinking: Understand how data, tools, platforms, and teams interact. Design experiences with the underlying data architecture in mind.


• Strong communication skills: Able to present work and explain technical and product decisions effectively to engineers, executives, and other stakeholders.


• Cloud experience: Familiarity with AWS or other major cloud platforms is a plus. Experience with AI/ML infrastructure and services is also valuable.

Key Skills

• React


• Next.js


• TypeScript


• Tailwind CSS


• shadcn/ui or equivalent component systems


• AI/LLM applications


• AI agents and agentic workflows


• Internal tools and platforms


• Product design and UX


• Data architecture and systems thinking


• Cloud infrastructure