Job Description

Narvar is growing! We are looking for a Senior Engineering Manager in Canada to grow and lead our Promise team. Reporting to the Senior Director of Engineering, you’ll lead the team of front end, backend, and data science engineers who build and continuously improve the systems, and models behind it , setting a culture of ownership, quality, and execution in a fast paced environment.

Navar Promise shows shoppers accurate, personalized delivery dates across the product page, cart, and checkout, using AI/ML that learns from billions of shipments across the Narvar network. Knowing when an order will arrive gives shoppers the confidence to buy and drives an uplift in conversion of merchants.

Our Vision is for Promise to be the industry standard for delivery predictability and consumer trust- every shopper knows exactly when their order will arrive, and every retailer is set up to deliver on that promise. Getting the data right is just the start. With deep visibility into how billions of shipments are delivered across our global network, we help retailers optimize their fulfillment and delivery operations- making Promise the backbone of retail logistics.

For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote.

What you’ll be responsible for

• 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.

What we’re looking for

• 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.

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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