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Relay

Engineering Manager, Voyager (Applied AI & Innovation)

Remote, Canada

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 29, 2026

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Original job description

Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses.

Relay is entering an exciting new chapter, and we're hiring an Engineering Manager, Voyager to help shape how AI powers our next stage of scale. You'll make high-impact, strategic decisions every day, with direct influence over the technology foundations behind a product used and loved by thousands of small businesses.

Voyager works a step ahead, exploring what's next for Relay. We build the technology foundations that make AI and insights possible across the product, and we partner with product teams so they can build quickly on top of them. We also act as Relay's innovation center, running fast, exploratory spikes on emerging technologies to establish what's viable before the company commits to it. The work spans both ends of the maturity curve, from hardening infrastructure other teams depend on to prototyping things that may not exist yet. In this role, you'll decide where the team places its bets, keep the balance between exploration and production, and grow the engineers doing the work.

What You'll Be Doing

AI Infrastructure Ownership: Be accountable for the reliability, security, and lifecycle of Voyager's shared LLM systems, from design through deployment and monitoring
R&D and Proof-of-Concepts: Lead exploratory initiatives that evaluate and validate emerging technologies, producing a clear recommendation on whether and how Relay should adopt them
Developer Enablement: Give teams across Relay the tooling, patterns, and guidance they need to ship AI workflows quickly and safely
Delivery Leadership: Lead the planning and delivery of Voyager's platform and R&D initiatives, making sure work meets quality standards, timelines, and business goals. Drive clarity in priorities and execution across the team
Team Operations: Establish and refine engineering processes, including sprint planning, code reviews, and technical design reviews, adapted for a team that moves between prototypes and production systems
People Management & Development: Build and grow a high-performing, senior-heavy engineering team through hiring, onboarding, coaching, and performance management, creating clear growth paths for senior and staff-level engineers

Who You Are

You've managed senior-heavy teams, including senior and staff-level engineers, and know how to lead through influence, give technical leaders room to own big problems, and keep them growing
You have hands-on experience building agentic systems that run in production, not just prototypes, and understand what it takes to make them reliable, observable, and safe at scale
You have a strong technical foundation and a proven track record of shipping high-quality products. You're technical enough to review designs, challenge architecture decisions, and earn credibility with senior engineers
You can run a team that moves between exploration and production, and you know when a rough spike is the right answer and when something needs to be built to last
You have strong judgment about emerging technology and can separate what's useful from what's currently loud, then explain that call clearly to leadership
You're passionate about building and scaling engineering teams, and deeply invested in growing people to do their best work
You thrive in cross-functional environments, bringing teams together, connecting the dots, and driving initiatives that deliver meaningful impact

Our Tech Stack

Front-end: React, Typescript, React Native
Back-end: Node.js, Typescript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Tools: Cursor, Claude, GitHub, GitHub Actions, Datadog, Jira, Metabase

The Interview Process

Stage 1: A 45-minute Google Meet video call with a member of the Talent team
Stage 2: A 60-minute Google Meet video call with our Engineering Leaders
Stage 3: A take-home case study followed by a 60-minute Google Meet video call with our Engineering team
Stage 4: A 45-minute in-person interview with a member of the Leadership team

Our Compensation Approach

We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle.

The annual salary range for this role is $207,000 CAD to $253,000 CAD.

For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $230,000 CAD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one.

We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub.

Why Relay Might Be the Perfect Fit For You

You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar.
You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering.
You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks.
You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you.
You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself.
You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward.
You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement.
Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you.

Join Us

We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive.

If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner.

Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.

Important Notice: Relay’s recruitment team only contacts candidates and corresponds from official corporate email addresses ending in @relayfi.com. We will never ask for sensitive personal data (such as bank account details, credit card numbers, or social security/insurance numbers) during the initial application or interview stages.

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More about this job

Responsibilities

Lead the Voyager team in building and scaling AI infrastructure while managing the lifecycle of shared LLM systems. Drive exploratory R&D initiatives and provide developer enablement to ensure teams can ship AI workflows safely and efficiently.

Requirements

Requires hands-on experience building agentic systems in production and a proven track record of managing senior-level engineering teams. Candidates must possess strong technical judgment, the ability to balance exploration with production stability, and excellent leadership skills.

Skills

Engineering Management
Artificial Intelligence
LLM Systems
Software Architecture
Product Development
Team Leadership
Cloud Infrastructure
Node.js
TypeScript
AWS
Terraform
System Design
Mentorship
Agile Methodologies
Technical Strategy

Visa sponsorship

Not detected in the job text

Keywords

Engineering Manager
Applied AI
Innovation
LLM
Agentic Systems
React
TypeScript
Node.js
Terraform
AWS
DynamoDB
Postgres
Lambda
ElasticSearch
ECS
Cursor
GitHub
Datadog
Jira
Metabase
R&D
Proof-of-Concepts
Infrastructure
Software Engineering
Digital Banking
Leadership
Product Strategy
Technical Design
Code Reviews
Sprint Planning

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