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Added 1 min ago
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Capacity Engineer Senior Associate
Equinix
Toronto, ON
- Full-time
The Capacity Engineer Senior Associate resolves a variety of data management, design, and drawings for installations within a moderate scope.
Added 1 min ago
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Terraform Developer / HALIFAX, NS (Onsite) - FTE
AceStack
Halifax, NS
- Full-time
We are looking for a Terraform Developer / Cloud Infrastructure Engineer with strong hands-on experience in Azure, Terraform, Kubernetes, CI/CD, Python, Databricks, and Snowflake. The ideal…
Added 1 min ago
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Data Engineer
VySystems
Halifax, NS
- Contract
Collaborate with analysts to enable advanced analytics on data lake assets
Added 1 min ago
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Lead Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
5-8 years of hands-on experience as a Data Engineer with strong expertise in SQL and Python for data processing, transformation, and analytics.
Added 1 min ago
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Full Stack Engineer
Syntrace
Montreal, QC
- Full-time
We are now hiring an Full Stack Engineer, based in Montréal.
Added 1 min ago
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Data Engineer Tech Lead
Iris Software Inc.
Mississauga, ON
- Contract
Added 1 min ago
Database & Geographic Information System (GIS) Geologist, Special Projects
Blue Moon Metals
Canada
Registration as a Qualified Person (QP), Professional Geologist (P.Geo.), or Professional Engineer (P.Eng.) will be considered a strong asset for this role.
Added 17 mins ago
Data Engineer - Analytics
Capgemini
Montreal, QC
Engineer observability solutions that proactively monitor configuration changes, control performance, operational trends, risk signals, and testing outcomes.
Added 17 mins ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 30 mins ago
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Spécialiste infonuagique et DevOps / Cloud & DevOps Specialist
Montrium
Montreal, QC
- Full-time
…les occasions d’optimisation à l’aide d’Azure Monitor, Log Analytics, Application Insights et de données opérationnelles…
Added 30 mins ago
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Senior Data Engineer
Arkhya Tech Inc.
Ottawa, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
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Business Data Analyst
MethodHub
Toronto, ON
- Contract
Ability to analyze the construction of existing reports and reverse engineer table relationships etc
Added 31 mins ago
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Servicing Delivery Lead
Capital One
Toronto, ON
- Full-time
Oversee core quality assurance and intent monitoring functions utilizing KPI frameworks and advanced data analytics to diagnose process health and prevent breakdowns.
Added 31 mins ago
Applied AI Engineer
ContactMonkey
Toronto, ON
Added 31 mins ago
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Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 31 mins ago
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Software Engineer I
TD
Toronto, ON
- Full-time
The Risk Technology team is seeking a junior Software Engineer with foundational .NET, Python, and SQL skills. Working with guidance from senior team members, the successful candidate will…
Added 46 mins ago
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Senior Data Engineer
Scene+
Toronto, ON
- Full-time
Reporting to the Senior Manager, Data Engineering and Data Governance, we are looking for a Senior Data Engineer who will play a pivotal role in shaping the next generation of Scene+’s data…
Added 1 hour ago
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AI Integration Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 1 hour ago
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AI Workflow Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 1 hour ago
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Cloud Architect
Agilus Work Solutions
Toronto, ON
- $60 to $80 CAD / hour
- Contract
🚀 Hiring: Senior Business Intelligence Engineer / Cloud Architect
Added 1 hour ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
Added 1 hour ago
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QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
Askuity is a Toronto-based retail analytics software company operating as a division within The Home Depot (THD). Through our supplier analytics program, Askuity’s mission is to enable…
Added 1 hour ago
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Data Engineer, Investments
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will actively contribute to…
Added 2 hours ago
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LLM Evaluation Engineer
HCLTech
Canada
- Full-time
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Innovative Data Platform Solution Engineer
Microsoft
Toronto, ON
- Full-time
Are you insatiably curious, deeply passionate about the realm of databases and analytics, and ready to tackle complex challenges in a dynamic environment in the era of AI? If so, we invite…

Purelend Technologies Inc.

Product Engineer

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Jul 12, 2026

Original job description

About Purelend

Purelend is an early-stage company operating at the frontier of FinTech and AI. Our small, tight-knit founding team is reimagining banking technology, starting with mortgage loans. We're fully automating the manual checks and underwriting which historically have meant hours or days of frustrating manual work. Our customers and their clients get what they want faster: a funded mortgage.

Our platform is already used by mortgage brokers and lenders across Canada, including some of the country's most important lenders. The product surface has grown bigger than any one founder can hold, and the next phase of the company depends on having someone whose full-time job is making sure we build the right things in the right order.

Our AI Stance

We're all in on AI, and not just in the product. Engineering, infrastructure, design, customer support, sales: every function here uses the best AI tooling we can find to maximize quality and throughput on a small team. We're looking for someone who wants to help us push that bet further, not someone who's skeptical of it.

The Role, and the Thesis Behind It

Our thesis: AI is collapsing the cost of writing code. What's still hard, and getting harder fast, is figuring out the right thing to build, scoping it sharply, and breaking it down so a small team can ship it without losing the plot. The binding constraint on a serious software company isn't typing speed anymore. It's clear thinking upstream of the IDE.

We're hiring a senior Product Engineer to sit on that boundary. You're an engineer at the bone. You think in systems, you write production code, and you have the technical credibility to argue architecture with the engineering team and not get steamrolled. But your center of mass is shifted toward product. You spend more of your time talking to customers, defining what's worth building, scoping it tightly, and breaking it down into shippable chunks than a pure engineer would. You still ship code where it's the highest-leverage thing you can do.

What You'll Actually Do

Sit With Customers

You'll be in front of brokers, underwriters, and lender executives every week. Not surveys. Calls, screen shares, ride-alongs, sometimes office visits. You'll watch how real users work real files, and you'll learn to tell the difference between “they say they want X” and “what would actually change their behavior is Y.”

Define and Scope

You write the briefs. One or two pages that get to the point: who it's for, what changes for them when this exists, the smallest version that's worth building, what's explicitly out of scope, what we'll know after we ship it. You're better at scoping than at typing, and you treat that as your edge.

Break Down the Work

You take a fuzzy problem like “our income verification doesn't work well enough for self-employed borrowers” and turn it into a sequence of shippable chunks an engineer can pick up tomorrow. You know where the seams are, what to ship in week one to learn the most, and what to push until you have the evidence to do it right.

Think in Systems

You see software and the customer workflow it sits inside as one system. You understand state, side effects, latency, error modes, and how a change in one component ripples into the others. Most engineers can do this for code. You do it for the whole customer workflow, which is exactly why your scoping is sharper than someone who only sees half of it.

Write Code Where It Matters

You ship production code regularly, not as a side hobby but as part of the role. Sometimes that's a prototype to learn something faster than a meeting would. Sometimes it's the actual feature because you're the person who understands it best. Sometimes it's the connective tissue between two systems no one else has the patience for. You're a credible engineer who's chosen to weight your time toward upstream work.

Own Outcomes

You define what success looks like before we build. You watch the metrics after we ship. You kill what isn't working and double down on what is. You don't need an analyst to tell you whether a feature is being used.

What You Bring

5–10 years building production software. You've shipped features that real users depend on and you've owned a product surface end-to-end, not just one feature inside someone else's roadmap. Ideally one cycle at an early-stage company and one at a scale-up so you've seen both modes.
A real engineering background that you're still using. TypeScript, Python, Go, or whatever the right tool is. You haven't been “out of the IDE” for years. You can read a codebase, follow a PR review, and ship a clean PR when one needs to happen. You still enjoy it.
Systems thinking. You can map a customer workflow on a whiteboard and identify the five places it breaks. You see how a change to one component ripples into the others. This is your through-line between engineering and product. It's the same skill applied to different surfaces.
Project decomposition. Taking a fuzzy problem and turning it into a sequence of shippable chunks is your strongest move. You don't wait for a spec. You write one. You know what to cut first when scope is too big.
Sharp customer instincts. You can sit on a call with a senior underwriter or a head of broker operations and ask the three questions that tell you what to build next. You'd rather watch one broker use the product for an hour than read ten survey responses.
Strong writing. Briefs, decisions, postmortems, customer summaries. These are how the rest of the team makes decisions. They need to be sharp, short, and honest about tradeoffs.
Comfort with data. SQL is a plus. PostHog or Amplitude-style product analytics is table stakes. You can answer “is this feature actually being used” without asking anyone.
AI fluency, in product and in practice. A lot of what we ship leans on LLMs. You have a real point of view on where models are genuinely useful, where they're a liability, and how to evaluate whether something is good enough to ship. Just as importantly, you use the best AI tooling available in your own work: research synthesis, prototype generation, customer call summaries, internal automation. You see AI as how a small team punches above its weight.
Mortgage industry experience is a bonus, not required. Curiosity about the workflow is. You'll spend your first month deep in broker and underwriter calls, and you'll need to enjoy that.

What We're Not Looking For

Engineers who want to live in the IDE and ship tickets someone else wrote. The whole role is the part you'd be skipping.
Pure PMs without engineering chops. The team needs a technical partner, not a translator.
Engineers who've drifted away from the IDE for so long they couldn't ship a real feature today. You need both halves of this.
Anyone who believes scoping is the easy part of software and the hard part is typing. We disagree, and the role is built around that disagreement.

Why This Role Is Interesting

Most companies treat product scoping as a process problem: more PRDs, more rituals, more sign-offs. We think it's an engineering problem, and one that's getting more important every quarter as the cost of implementation keeps falling. The teams that win the next decade will be the ones whose best engineering thinking lives upstream of the IDE, not just inside it. You'll be the first hire we make on that bet, and what you build, features and process, will shape how this company ships for years.

Compensation

Our total compensation, a blend of cash and equity, is market competitive.

Details

Location: Calgary, AB - in-office
Reports to: Seb Hiscock (CTO)

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More about this job

Responsibilities

Engage with brokers, underwriters, and lender executives to understand workflows, define product opportunities, write concise briefs, and break complex problems into shippable work. Ship production code where it has the greatest impact, define success measures, and monitor outcomes to guide product decisions.

Requirements

Requires 5–10 years of production software experience, strong engineering skills, systems thinking, and a record of owning product areas end-to-end. Candidates should be skilled in customer discovery, scoping and decomposing projects, concise writing, product analytics, and practical use and evaluation of AI tools and LLMs.

Skills

Product Engineering
Systems Thinking
Project Decomposition
Product Scoping
Customer Research
Customer Interviewing
Technical Writing
TypeScript
Python
Go
SQL
Product Analytics
PostHog
Amplitude
AI and LLM Evaluation

Visa sponsorship

Not detected in the job text

Hiring contact

Seb Hiscock

Keywords

FinTech
Artificial Intelligence
Mortgage Loans
Mortgage Underwriting
Mortgage Brokers
Lenders
Product Engineering
Product Scoping
Customer Discovery
Workflow Analysis
Systems Thinking
Project Decomposition
Production Software
TypeScript
Python
Go
SQL
PostHog
Amplitude
Product Analytics
Large Language Models
AI Tooling
Prototyping
Feature Evaluation
Metrics
Technical Writing

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