Senior AI Developer - Product Operations

Remote; San Francisco (CA); Remote; USD 99,000 - 120,000; Full time

Benefits offered by this job

LTIP program

Health insurance

Flexible vacation policy

Remote work + Montreal office access

In-person gatherings twice a year

Claude access

RRSP benefits

Job summary

Workleap seeks a Senior AI Developer to join the Product Ops team and shape the AI-powered agent platform. You will own production-ready multi-agent systems, set architectural standards, and drive cost-efficient, observable delivery with cross-functional partners in Product, Engineering, and Data Science.

Remote work is supported, with collaboration across Canada and internationally. A strong product sense and ability to mentor others are essential, as is experience building reusable tooling for

Qualifications

• Proven track record in production engineering for multi-agent systems.
• Experience designing and shipping multi-agent architectures and systems.
• Ability to instrument, observe, and cost-track non-deterministic AI workloads.
• Strong architectural judgment across reliability, security, and cost.
• Experience building reusable components or tooling adopted by teams.
• Product-minded: designs with user needs and product managers in mind.
• Collaborative mindset to share practices and mentor others.
• Comfort with ambiguity in early-stage AI-driven products.
• Bonus: product management experience or B2B SaaS/HR/IT domain.

Responsibilities

• Ship the first production agents with Product Managers, from brief creation to design handoff.
• Shape shared architecture and standards for orchestration, memory, and guardrails.
• Own production quality: observability, testing, security, and cost accounting.
• Co-design with Product Managers to reuse automation and enable rapid iterations.
• Measure impact: time saved, time-to-decision, and cost per agent.
• Grow others by sharing agent development practices across teams.

Skills

Production engineering

Multi-agent systems

Observability & evals

Architectural judgment

Reusable components

Product-minded

Team mentorship

Ambiguity tolerance

Bonus: product mgmt / B2B SaaS

Tools

Slack

Atlassian

MCP

Job description

Defining the future of work & living globally

5,814 jobs · 6 companies

Senior AI Developer - Product Operations

Remote

Software Engineering, Product, Operations, Data Science

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.

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?

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.

• 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.

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