Founding Engineer

ChatFeatured Inc.; Toronto, Ottawa; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

ChatFeatured Inc. in Toronto is seeking a builder to own end-to-end product surfaces: AI agents that interpret responses, data pipelines that turn prompts into analytics, and the publishing systems for optimized content.

You’ll design and ship durable ETL pipelines, build data models and features across the stack, and set engineering standards with pragmatic, fast decisions. This role offers startup pace, autonomy in design and execution, and a clear opportunity to shape the platform’s technical

Qualifications

• Proven track record shipping systems at startup pace.
• Experience building AI agents — tool use, orchestration, evals.
• Experience with high-volume data systems and columnar analytics.
• Ability to make pragmatic architecture calls and iterate quickly.

Responsibilities

• Design and build AI agents that do real work across the platform — generating effective content, running data analytics, and more, all at scale
• Own durable ETL pipelines that move from raw prompt data to clean, queryable analytics — and keep them reliable at volume
• Build product features across the stack, from data models up to the UI customers actually use
• Ship the content generation and publishing systems that close visibility gaps for brands
• Make pragmatic architecture calls, validate them quickly, and iterate — short feedback loops over big-bang launches
• Set the engineering bar early: the patterns you establish become how we build

Skills

Hungry and high-output

Strong fundamentals

AI agents

Data engineering

Ownership and independence

Builder's bias

High-volume data systems

Columnar analytics (ClickHouse)

Workflow orchestration (Cloudflare/Tem

Tools

ClickHouse

Temporal

Inngest

Cloudflare Workflows

Job description

For twenty years, getting found meant ranking on Google. That era is closing. Buyers now ask ChatGPT, Claude, and Perplexity what to buy, who to trust, and which vendor to shortlist. The model answers. Most brands have no idea whether they are in that answer or invisible to it.

ChatFeatured is the platform that makes brands the answer. We do the agentic content generation, the publishing, and the analytics that decide whether a CEO, CMO, or CRO sees your name when an AI recommends a category leader. This is the next discovery layer, and it is being built right now.

Why this role

This isn't a traditional "pick up tickets" job. You'll own entire surfaces of the product end-to-end: the agents that interpret AI answers, the data pipelines that turn raw prompt responses into analytics, the systems that generate and publish optimized content, and the attribution that ties it back to revenue. You'll build, validate, and ship at startup pace — and you’ll have full autonomy in design, architecture and execution.

If you want to wait for perfect specs, this isn't it. If you want the ability to shape technical direction and the chance to build foundational systems from the ground up, read on.

What you'll do

• Design and build AI agents that do real work across the platform — generating effective content, running data analytics, and more, all at scale
• Own durable ETL pipelines that move from raw prompt data to clean, queryable analytics — and keep them reliable at volume
• Build product features across the stack, from data models up to the UI customers actually use
• Ship the content generation and publishing systems that close visibility gaps for brands
• Make pragmatic architecture calls, validate them quickly, and iterate — short feedback loops over big-bang launches
• Set the engineering bar early: the patterns you establish become how we build

What we're looking for

• Hungry and high-output. You want to build a lot, fast, and you take pride in shipping things that work at scale, not just on your local machine.
• Strong fundamentals. You understand systems, data structures, concurrency, and tradeoffs deeply — not just framework syntax.
• Experience building AI agents — tool use, orchestration, evals, and the messy realities of getting LLMs to do reliable work in production.
• A blend of data engineering and software engineering. You're as comfortable structuring data to power features (think dashboards) as you are building product features.
• Ownership and independence. You can take an ambiguous goal, scope it, and drive it to shipped without hand-holding.
• A builder's bias. You'd rather prototype, measure, and learn than debate in the abstract.
• Experience with high-volume data systems and columnar analytics (ClickHouse or similar)
• Durable execution and workflow orchestration (Cloudflare Workflows, Temporal, Inngest, or similar)
• You've been early at a startup before and know what that actually demands

Our stack

TypeScript / Node.js end-to-end. TanStack on the front, Postgres as the primary store, ClickHouse for analytics. We run durable workflows on Cloudflare (Workflows, R2, Durable Objects). We care about the right tool for the job over dogma.

Logistics

• Remote within the US or Canada. Preference for candidates in Toronto or Ottawa.