Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Remote Solely
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · On-site
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · On-site
$174k–$253k/yr
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Waterloo, Ontario, Canada · On-site
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Waterloo, Ontario, Canada · On-site
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Ottawa, Ontario, Canada · Remote OK
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Hybrid
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Waterloo, Ontario, Canada · Hybrid
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Mappedin
Waterloo, Ontario, Canada • Hybrid
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Lead the engineering team responsible for the AI-driven mapping pipeline and the rendering SDK. Own the technical roadmap for automated map creation, data quality, and the high-performance rendering layer.
Requires 8+ years of software engineering experience with 3+ years of leadership and a track record of shipping ML-driven or data-intensive systems. Strong expertise in geospatial processing, rendering, or computer vision is highly desired.
About Mappedin
Mappedin is the platform for digital indoor mapping. The company transforms building floor plans and spatial data into dynamic digital maps that power navigation, operations, analytics, and safety across complex environments. Mappedin’s platform has mapped more than 10 billion square feet of indoor space across 86 countries, supporting destinations including Simon Property Group malls, Los Angeles International Airport, Major League Baseball stadiums, and Hudson Yards.
Who you are and what you'll do
We are seeking someone to own the technical direction, delivery, and team health of the engineering group responsible for how Mappedin creates, renders, and exposes maps — the AI-driven and operational pipeline that turns raw venue inputs into accurate, structured indoor maps, and the SDK that renders them for customers and partners. This is the engine behind Mappedin's growth strategy: faster, cheaper, more automated map creation and a high-performance rendering layer are what let the platform scale.
As the company pushes toward automated and customer-assisted map creation, the mapping pipeline and rendering SDK need dedicated senior engineering leadership — owning the ML/automation roadmap, the data quality bar, the throughput of the map-making operation, and the rendering engine.
Core Responsibilities
Team leadership — Lead and grow the mapping engineering team (ML, data, pipeline, and rendering/SDK engineers), owning hiring, performance, development, and retention. Set a high bar for craft and ownership.
Mapping pipeline ownership — Own the roadmap and delivery for the end-to-end map creation pipeline: ingestion of venue inputs (CAD, IMDF, imagery), automated feature extraction, AI-assisted authoring, QA, and export into the formats the platform and SDK consume.
Rendering & SDK ownership — Own the SDK and rendering layer — how maps are drawn and exposed to customers and partners — either directly or through our platform applications.
AI & automation — Drive the application of AI/ML to map creation — reducing manual effort, raising accuracy, and moving toward customer-assisted and self-serve map generation. Champion AI in the team's own engineering practices.
Data quality & throughput — Own the accuracy, consistency, and turnaround time of produced maps as first-class engineering metrics. Build the observability to measure and improve them.
Cross-functional partnership — Partner with the Platform & Apps Director (whose products consume the SDK and map data), Product, Forward Deployed Engineering (post-sale map delivery), and the mapping operations team to align the pipeline and SDK with real deployment needs.
Operating rhythm — Run effective planning and review cadences. Surface risks early and keep leadership informed without being asked.
Qualifications
8+ years in software engineering with 3+ years leading and growing teams.
Track record shipping data-intensive, ML-driven, or automation-heavy systems at scale.
Comfortable in a high-autonomy scale-up; builds process where it's missing without over-engineering it.
Strong foundation in data pipelines, ML/AI systems, or computer vision / geospatial processing.
Experience with rendering, graphics, or SDK/developer-facing engineering (WebGL or comparable) is a strong asset.
Credible enough to make architecture calls and earn the trust of senior ICs.
Familiarity with geospatial, mapping, CAD/GIS, 3D, or imagery-processing domains is a strong asset.
Genuine fluency with AI/ML in product and in engineering workflows.
Builds high-trust teams and develops people.
Outcome-oriented: treats accuracy, cost-per-map, and turnaround as the scoreboard.
Direct, low-ego, and decision-ready.
Behind the scenes
We move fast and pivot as needed. We operate with experimental mindsets and are constantly pushing the boundaries of our industry. Because of this, we can’t guarantee exactly what you’ll be working on three months from now but we can guarantee that you will be working on high value projects that will foster your growth along with Mappedin’s.
At Mappedin, we don’t take a one-size-fits-all approach to how we work. While we have colleagues around the globe, some roles are best suited for full-time, in-person work at our home office in Waterloo. This position will require being in office four days per week.
We believe in being transparent about how we hire. We use artificial intelligence (AI) tools to help record interviews and create notes for us to review later. Every application and interview is still reviewed by our People Operations team, and all hiring decisions are made by people - not AI.
We welcome applications from people with disabilities. We provide reasonable accommodations for candidates upon request through the recruitment process. For additional information, please email us at [email protected] or call us at (519) 594-0102 and ask to speak to a member of the Human Resources team.
What's in it for you
Competitive base salary: $175K-$225K+
20 days of paid vacation, available from your first day
Comprehensive benefits from Day 1
A team of bar raisers with low ego and high ownership
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