Senior Engineering Manager

Narvar

4d•CA$196,000 - CA$273,000•Remote

About The Position

Narvar is seeking a Senior Engineering Manager in Canada to lead their Promise team. This role involves managing a team of front-end, back-end, and data science engineers responsible for building and improving the systems and AI/ML models behind Narvar's Promise product. The ideal candidate will foster a culture of ownership, quality, and execution in a fast-paced, fully remote environment. The Narvar Promise product provides shoppers with accurate, personalized delivery dates, enhancing conversion rates for merchants and aiming to become the industry standard for delivery predictability. The role requires a hands-on approach, including reviewing code, discussing architecture, and driving AI-native development practices. The manager will be responsible for hiring, setting OKRs, and managing performance, ensuring the quality of the product aligns with customer trust.

Requirements

8+ years of core engineering, with time as a staff engineer and 3+ years as an engineering manager in high growth startups.
Deep in backend and/or data science, with past experience leading teams across full stack and machine learning, and still hands on, building with AI tools alongside the team.
Genuinely AI native. Has changed how a team builds, improving productivity and the SDLC through agent harnesses, loop engineering, and agentic workflows, and can show the before and after.
Hands on experience with a major cloud platform, GCP preferred.
Has worked on consumer facing products where ease of use and conversion matter.
Has directly managed engineers at Staff level and above, with a track record of hiring strong talent, growing them into those roles, and managing performance decisively.
Gets things done, moves fast, cuts wasted effort, and flags problems early.

Responsibilities

Own the outcome: Drive Promise’s roadmap and delivery end-to-end, partnering across Product, Sales, Customer Success and Support.
Set the technical direction: Stay hands on- review PR’s, argue architecture, and drive an AI native way of building. Track where AI and engineering are heading, and bring the best of it into how the team works.
Hold the quality bar: Promise’s output is a promise to a shopper. Run short, hypothesis-driven cycles and hold the line on quality so what ships doesn’t break a customer’s trust.
Build the team: Hire strong engineers, set clear OKRs tied to product goals, and manage performance decisively.