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Open nowPosted 8 hours ago

Senior AI Developer - Product Operations

Workleap18 open roles

Where
Canada - Remote
Work mode
Remote
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Your applicationOpen nowSenior AI Developer - Product OperationsWorkleap · Canada - Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workleap's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Workleap postings stay open a median of 22 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 8 hours ago

Workleap median: 22 days open

The posting

Company Description

Workleap is a Montreal-based tech company, founded in 2006. We're builders at heart, we make simple products that actually matter to the people who use them. We have two product lines: Workleap Agent, our newest solution built to make every manager more effective, and ShareGate, the world's leading solution for Microsoft 365 migration and governance. More than 15,000 companies worldwide trust us to do exactly that. We're intentional about who joins us. If you're the kind of person who gets excited by a hard problem and wants to help shape what comes next, there's a place for you here.

Your role

At Workleap, our engineering teams already ships more than twice as fast with AI. Now we’re expanding beyond code to everything around it: briefs, specs, design, launch, and measurement. The idea is simple: agents do the work, and people make the calls. We’ve are rethinking how we build products and are exploring the technical possibilities, this is just the beginning. As a Senior AI Developer, you’ll join us to shape and build this solution ensuring that we have solid technical foundation.

Your impact:

  • Ship the first production agents with our Product Managers, starting with brief creation and the ProductManager-to-design handoff, then extend to the rest of the product lifecycle.
  • Shape the shared architecture and standards (orchestration, skills, memory, evals, guardrails) so that both our product lines are built on the same foundation.
  • Own the production quality of these agents: observability, testing, security, and cost built in from the start, with human approval at every gate.
  • Co-design with Product Managers: understand how they work, reuse what they’ve already automated, and ship small iterations they test and adopt.
  • Measure what works: time saved, time from customer signal to shipped decision, and cost per agent and per feature, then cut what doesn’t add value.
  • Grow others: share your agent development practices so the team can build, run, and improve agents on their own.

Your team

Over the next 6 to 12 months, you’ll work on questions like: how does an agent turn an idea into a brief that a Product Manager approves without rewriting it? How do specialized agents pass context without losing it or blowing up costs? How do we decide an agent is reliable enough to lighten a gate? The vision is set, and a proof of concept in Slack is underway: you’re joining early enough to shape the architecture and turn this start into a production standard.

You’ll join the Product Ops team, a small team serving Product Manager across two product lines that already owns tracking, product data quality, and analytics. You’ll work daily with this team, our AI-Software Development Life Cycle team, which already automates software delivery, and with our Product Managers working on both product lines. You’ll also partner with the Senior AI Developer on our Data team to share patterns and tooling. We use AI every day, decide fast, and ship in iterations.

Our technology ecosystem includes Claude (Claude Code, skills, Managed Agents, Design), MCP, Slack, Jira, Confluence, GitHub, Mixpanel, Snowflake, Azure, etc.

What you'll bring

  • Strong production engineering across the agent development lifecycle;
  • Hands-on experience designing and shipping multi-agent systems to production: orchestration, tools, context, and memory, integrated with tools like Slack, Atlassian, and MCP;
  • Experience instrumenting and evaluating non-deterministic systems: evals, observability, regression testing, and cost tracking;
  • Sound architectural judgment across reliability, security, and cost, including which model fits which job, and the confidence to form and defend a technical opinion;
  • Experience building components or tooling that other people adopt;
  • Real product sense: you understand how a Product Manager works and you build with users, not for them;
  • A taste for building as a team and helping people change how they work, by sharing your practices;
  • A builder mindset: you own what you ship, you’re comfortable with the ambiguity of an early-stage project, and you use AI-assisted development tools daily and critically;
  • Bonus: product management experience, or experience on a B2B SaaS, HR, or IT product.

Most of this sounds like you? Apply.

What the job comes with

  • Base salary: $140,000 - $170,000. This range reflects our Canada-wide compensation scale. Final offers may be adjusted based on the candidate's region to align with local market conditions.
  • Annual bonus program.
  • LTIP program, share in Workleap's long-term growth.
  • RRSP + Family health insurance + telemedicine + annual wellness budget.
  • Flexible vacation policy.
  • Remote work, with access to our Montreal office.
  • In-person gatherings twice a year.
  • Claude access, for everyone.

What drives us

At Workleap, we build software that sits at the center of how people experience work, every day, at every level.

We move fast. Priorities shift, decisions get made with the information we have, and we iterate. If you thrive on intensity and ambiguity doesn't slow you down, you'll feel right at home. We're builders. We do what it takes to move forward. AI is part of our toolkit. We use it to go faster and decide smarter, not to replace judgment.

If you want real impact and a place where your decisions matter, this is it.

How we hire

Transparency is how we hire — for you as much as for us.

Here's how it works: a first call with a recruiter, then a virtual interview with the hiring manager. You'll then complete a take-home case study, followed by a meet with future colleagues to discuss it together. Depending on the role, the process may vary slightly — your recruiter will walk you through it on your first call.

We use AI to support certain steps of the process, but every hiring decision remains human.

We can't wait to meet you.

By applying, you confirm that you have read and agree to our privacy policy.

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