Sr. Agentic Developer

Reporting To: Chief Product & Technology Officer (CPTO)

Key Partners: Principal Staff Engineer · Principal Data Science Leaders

Department: Product & Engineering

Location: Remote (Canada preferred) — Travel Required

Employment Type: Full-Time

Agentic AI   /   Senior IC   /   AI-Native Engineering   /   LearnOps   /   B2B SaaS

About Cognota

Cognota is the world's first Learning Operations (LearnOps) platform — purpose-built to help enterprise L&D teams plan, manage, measure, and optimize every aspect of their learning function. Trusted by leading global enterprises, Cognota powers the operational backbone of some of the world's most strategic L&D teams.

We are a category creator. We don't follow the market — we define it. With the acquisition of Cognota Assist™ (formerly LearnExus). , Wwe are expanding into an AI-powered marketplace connecting enterprise L&D teams with world-class talent and solutions. And now, we're building the engineering team that will define what AI-native product development actually looks like in practice.

The Opportunity

Most engineers are experimenting with AI tools. You already rebuilt how you work around them — and there's no going back.

Cognota is rebuilding its core platform from the ground up. We're looking for a Lead Agentic Developer — a senior engineer who has fully internalized the AI-native workflow and operates with a personal team of specialized agents orchestrated around their development process. You ship production-grade code faster and better than engineers working the old way. Not because you've replaced judgment with automation, but because you've multiplied your leverage.

This is a senior individual contributor role. But it's also something more: you'll be a hands-on model for the rest of Cognota's engineering organization — showing, not just telling, what it looks like to build agentic teams around your development workflow. You'll help transform how Cognota engineers work, one demonstrated practice at a time.

Responsibilities

Ship at the highest level

• Build and maintain production-grade features on Cognota's rebuilt core platform with speed and quality that sets the standard.
• Orchestrate a personal fleet of AI agents — coding, testing, debugging, documentation, code review, and research — to multiply output without sacrificing judgment.
• Write clean, extensible code that integrates naturally with the patterns set by the Principal Staff Engineer and the broader architecture.
• Take full ownership from design through deployment, including observability, reliability, and performance in production.

Transform engineering culture

• Be the most visible practitioner of agentic development on the team — work in the open, share your tooling, narrate your workflow.
• Run working sessions and informal mentorship to help other engineers build their own agent-augmented workflows, adapted to their stack and style.
• Help establish practical standards for agentic development: what good looks like, where human review is non-negotiable, and how to catch the failure modes that AI introduces.
• Raise the floor on what 'standard practice' means across the engineering org — one PR, one review, one pairing session at a time.

Partner at the intersection of product and engineering

• Work closely with the Principal Staff Engineer on architectural decisions, system design, and technical trade-offs.
• Partner with Principal Data Science leaders on ML-adjacent features, data pipelines, and intelligent product capabilities.
• Translate ambiguous product requirements into clear, executable technical approaches with minimal back-and-forth.
• Surface risks early — technical debt, scope creep, integration complexity — and come with options, not just problems.

Required Qualifications and Technical Expertise

• Proven track record as a senior individual contributor shipping production features at scale in SaaS environments.
• Hands-on, daily use of AI coding tools (Cursor, GitHub Copilot, Claude, GPT-4, or equivalent) — not as experiments, but as a rebuilt workflow.
• Demonstrated experience designing and orchestrating multi-agent systems or agentic pipelines in real software development contexts.
• Strong backend fundamentals: APIs, data modeling, distributed systems, observability, performance, and security.
• Experience with cloud infrastructure, CI/CD, and automated testing at a level that lets you own full deployment cycles independently.
• Ability to evaluate AI-generated code critically — knowing when to accept, when to refactor, and when to throw it out.
• Strong written communication: design docs, async technical discussion, and teaching through writing.
• A genuine desire to bring others along — not just to work faster yourself, but to help the whole team level up.

What Success Looks Like in Year One

You've shipped meaningful features on Cognota's rebuilt platform — features that are fast, clean, and maintainable — at a pace that makes the rest of the team take notice.

Other engineers have started building their own agent workflows. Not because they were told to, but because they watched you work and wanted that leverage for themselves. The team has a shared vocabulary for agentic development — what it means, what it requires, and where the guardrails are.

The Principal Staff Engineer and CPTO see you as a force multiplier — someone who raises the output and the bar of everyone around them, while still doing the best individual work on the team.

Cognota's engineering culture has shifted perceptibly. AI-native development is no longer a curiosity — it's how the team builds.

What We Offer

• Competitive compensation: aligned with experience

• Medical, dental, vision and extended health coverage from day one.
• Unlimited PTO
• “You Days” when the whole company gets the day off to recharge and focus on themselves.
• Paid time off on your birthday to celebrate and enjoy a day just for you.
• Professional development opportunities through access to internal mentors and a huge library of learning and development content.
• A flexible, remote-first way of working

AI Disclosure (Ontario ESA Requirement)

Cognota does not use artificial intelligence to screen, assess, or select applicants for this role.
All hiring decisions involve human review.

Hiring Decision Notification Requirement

In accordance with Ontario ESA Regulation 244/76, all candidates who complete at least one interview will be informed whether a hiring decision has been made within 45 days of their final interview.

How to Apply

If you see an opportunity for yourself with us, apply now to continue the conversation and learn more.

Cognota believes in equality and celebrates diversity. We ensure that every candidate is treated fairly, without discrimination based on age, ancestry, color, race, citizenship, ethnic origin, birthplace, belief, disability, family or marital status, gender identity, gender expression, public assistance status, criminal record, sex, or sexual orientation.

To foster inclusivity, we're committed to making our recruitment process accessible to all. If accommodations are needed during the hiring process, please inform us. Cognota is here to provide or arrange the necessary support for our applicants

Record Retention Notice

Cognota will retain a copy of this job posting and associated application materials for three years after the posting is no longer publicly available, as required by Ontario ESA Regulation 244/76.