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Added 19 mins ago
J
Senior GTM Engineer
Jobgether
Canada
- Part-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GTM Engineer based in Canada.
Added 35 mins ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 1 hour ago
Senior Software Engineer, Scheduling
Toast
Toronto, ON
We’re looking for a Senior Software Engineer to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play a key roll* in the…
Added 2 hours ago
Advisory Support Director
Lloyds Register
Halifax, NS
…to lead the team and drive its development to become a high-performance…
Added 2 hours ago
Software Engineer, Growth Platforms
Lyft
Toronto, ON
As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our…
Added 2 hours ago
OM
Expressions of Interest | Vancouver, Perth, & London Mining Consultancy Positions
Orelogy Mine Consulting
Vancouver, BC
- Full-time
Senior Mining Consultants 5+ years Technical & Operational experience in Open Pit or Underground
Added 6 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 6 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 6 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 7 hours ago
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AI Builder
Clarity (formerly Hiive)
Vancouver, BC
- Full-time
You will work alongside a senior engineer as part of a small, high-impact team, embedded at the intersection of technology and business. Your work will directly shape how ~180 people work,…
Added 8 hours ago
GC
Engineer In Training, Short Range
Glencore Canada
Elkford, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Senior Engineering Supervisor, Short Range Planning, the Engineer-in-Training (EIT) Mining is responsible for ensuring the engineering department has the as-built data
Added 8 hours ago
C
Senior AI Engineer
Cloudoplus
ON · Ontario, Canada
- Full-time
We are seeking a highly experienced and technically accomplished Senior AI Engineer with 10+ years of enterprise software engineering, machine learning, artificial intelligence, and…
Added 8 hours ago
AI
AIRCRAFT MAINTENANCE ENGINEER - ACA – YUL - NIGHT SHIFT (#1008)
Air Inuit
Montreal, QC
- Full-time
…If so, we want you on our team! As an Aircraft Maintenance Engineer at Air Inuit, you will play a crucial role in ensuring our fleet is always ready to conquer the skies. Under the…
Added 8 hours ago
AI
APPRENTICE AME (M) YUL - NIGHTSHIFT (#1005)
Air Inuit
Montreal, QC
- Full-time
As an Apprentice Aircraft Maintenance Engineer, you will board on an exciting journey to develop your skills and knowledge in the aviation industry. This role is designed for enthusiastic…
Added 8 hours ago
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Portfolio Manager
Worley
Kitimat, BC
- Full-time
…master schedule (working closely with Project Controls). Monitor performance, identify variances, and implement corrective actions to ensure the project remains on…
Added 9 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Sudbury, ON · Greater Sudbury, ON
- Full-time
Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
Added 9 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 hours ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 9 hours ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 9 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…
Added 9 hours ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 9 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Saskatoon, SK
- Full-time
Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
Added 9 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…

Clarity

AI Builder

Vancouver, BC, Canada

$85,000 to $185,000 CAD / year · Full-time

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Job details

Pay: $85,000 to $185,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 20, 2026

Original job description

Clarity is redefining how private companies and their shareholders access liquidity. Through its institutional-grade platform, Clarity brings together buyers, sellers, and issuers to facilitate secondary transactions in venture-backed, pre-IPO companies, introducing efficiency, transparency, and standardization to an otherwise opaque asset class.

Recognized as one of Canada's fastest-growing companies and backed by leading U.S. investors, Clarity is profitable, well-capitalized, and building a high-performance team to meet growing demand and pursue new market opportunities.

Interested in learning more about life at Clarity? Check out our careers page to see how you can grow with us!

We are building something new at Hiive: an internal team dedicated to reimagining how a fast-growing, regulated financial services company operates - using AI not as a buzzword, but as a genuine building material. We are looking for an AI Builder to join this small, high-impact team.

This is not a traditional engineering role, or a traditional product role, or a traditional operations role. It’s all of them and none of them. You will identify real operational problems across our business: in sales, compliance, legal, trading, and beyond, and build AI-enabled tools and systems that solve them. End to end. From sitting in a room with the people who feel the pain, to shipping a product they use every day.

You will work alongside a senior engineer as part of a small, high-impact team, embedded at the intersection of technology and business. Your work will directly shape how ~180 people work, and your tools will touch every major function at the company.

We care about what you can build, how you think about problems, and whether you have the curiosity and drive to learn fast in a domain (regulated private securities) that will be new to you.

In this role, your responsibilities would include:

Discovering and diagnosing operational pain points across business functions by embedding with internal teams - Sales & Trading, Legal & Compliance, Account Services, Transaction Services - and deeply understanding their workflows.
Designing and building AI-enabled internal tools, automations, and systems that solve real problems.
Owning the full lifecycle of internal products: problem discovery, solution design, rapid prototyping, iteration based on user feedback, and transition to steady-state operation.
Working collaboratively with our senior engineer to build products that are robust, maintainable, and production-quality - not just prototypes that gather dust.
Translating complex business requirements (particularly in regulated financial services) into clear, practical technical solutions, ensuring compliance and process discipline are built in from the start.
Maintaining and extending our internal AI infrastructure, including knowledge bases, Claude skills, internal agents and workflow automations built on our existing stack (Notion, Salesforce, Front, Linear, Slack).
Contributing to the team’s evolving roadmap by identifying high-impact opportunities and making the case for what to build next, grounded in real business need.
Staying relentlessly current with AI tools, techniques, and capabilities, and bringing that knowledge back to the team and the broader organization.

Required skills:

Demonstrated ability to build and ship products, tools, or systems that real people use. We want to see your work - whether it’s a side project, something you built at a previous job, an open-source contribution, or a startup you founded.
Active, fluent use of AI tools (e.g., Claude, Codex, Cursor) as core building instruments, not just productivity aids.
Strong problem-solving and systems-thinking skills. You can look at a messy, multi-stakeholder workflow, see the structure underneath and figure out what to build to make it better.
Technical literacy to work with APIs, databases, and modern development tools. You need to be able to build real things, not just spec them.
Familiarity with CI/CD pipelines and cloud deployments (CloudFlare)
Excellent communication and empathy for non-technical users. You will spend a significant portion of your time talking to salespeople, lawyers, compliance officers, and operations staff. You need to earn their trust and genuinely understand their work.
Comfort with ambiguity and self-direction. This is a small team building a new function. There is no established playbook.
Intellectual curiosity that goes beyond AI. You are someone who wants to understand how a private securities marketplace works, why compliance matters, what a salesperson’s looks like, and how a tender offer gets executed - because understanding the domain is what makes your tools actually useful.
Discipline and judgment to build what is necessary, not over-engineer. You ship the 80% solution in hours, iterate based on feedback, and know when to ship.

Preferred skills:

Degree in Computer Science, with 2+ years of experience in product engineering.
Experience in financial services, fintech, or another regulated industry.
Proficiency with the latest AI research and core tools: Codex, Claude Code or Github Co-pilot.
Experience with prompt engineering, AI agent/skill development, RAG architectures, MCP; Agent to Agent protocols; Memory and context engineering and multi-agent systems.
Background in engineering, product management,operations, or consulting - any role where you had to understand business problems deeply and translate them into solutions.
Experience working in a startup or high-growth environment, or as a founder, where scope is fluid and resourcefulness is essential.
A portfolio, GitHub profile, blog, or public body of work that demonstrates your building instinct.
Genuine curiosity about where AI is heading. If you like reading Arxiv papers for fun, we want to hear from you.

Benefits & Perks:

Opportunity to participate in ownership of a rapidly growing company through our employee stock option plan.
Comprehensive 100% employer-paid health & dental premiums and a Health/Personal Spending Account for Canadian employees. (An employer-subsidized benefits program is available for US-based team members).
If you are based in Vancouver, enjoy a dedicated desk in our Vancouver, BC HQ, in the heart of downtown, with a fridge stocked with healthy snacks and drinks, an onsite gym, and a gorgeous rooftop amenity.
Vancouver based employees enjoy a $20-per-day commuter benefit for every day you work in our downtown HQ.
An engaging social calendar, including bi-weekly catered lunches, bi-weekly “Friday bar,” team workouts, annual summer party, and holiday party, two “onsite” all-team retreats each year, semi-annual team-building events, and Clarity Women’s Network events.
Significant opportunities for growth into team leadership and management roles.
Entrepreneurial culture and a small and dynamic team.
Sponsorship, immigration, and relocation for exceptional candidates.

Clarity is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed.

AI, automated tools, and applicant privacy notice:

As part of our recruitment and hiring process, Clarity may use automated tools, including artificial intelligence (AI), to assist in screening applications, evaluating candidate qualifications, and supporting interview processes. These tools are designed to support and inform human decision-making and are not used as the sole basis for any employment decision.

We may collect, use, and analyze personal information you provide in connection with your application, including generating insights or inferences to assess job-related qualifications. This information is used for recruitment, evaluation, and compliance purposes in accordance with applicable law.

We take reasonable steps to evaluate and monitor our hiring tools and practices to promote fairness, consistency, and non-discrimination. Where required by applicable law - including in Ontario, Quebec, New York City, Illinois, and California - we conduct or rely on assessments such as bias audits, honor rights related to automated decision-making, and provide additional disclosures on request.

Depending on your location, you may have certain rights with respect to your personal information and the use of automated processing, including the right to request access to, correction of, or deletion of your information, or to receive additional information about our data practices. We honor such rights where required by applicable law.

For accommodation requests or questions about this notice, contact careers@clarity.com.

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More about this job

Responsibilities

You will identify operational pain points across business functions and build AI-enabled tools and systems to solve them. You will own the full lifecycle of these internal products, from discovery and prototyping to production-quality deployment.

Requirements

Candidates must have a demonstrated ability to build and ship products using AI tools and possess strong systems-thinking and technical literacy. A degree in Computer Science and experience in regulated financial services are preferred.

Skills

AI development
Product engineering
Systems thinking
Problem solving
API integration
Database management
CI/CD pipelines
Cloud deployment
Prompt engineering
RAG architectures
Multi-agent systems
Financial services domain knowledge
Communication
Technical literacy
Automation
Product lifecycle management

Benefits

Employee stock option plan
Health insurance
Dental insurance
Health/Personal spending account
Commuter benefit
Catered lunches
Onsite gym
Team retreats
Team-building events

Visa sponsorship

Detected

Keywords

AI Builder
Artificial Intelligence
Fintech
Product Engineering
Automation
Salesforce
Notion
Linear
Slack
CloudFlare
Claude
Codex
GitHub Co-pilot
RAG
MCP
CI/CD
API
Database
Financial Services
Compliance
Operations
Systems Thinking
Prototyping
Prompt Engineering
Multi-agent Systems
Software Development
Marketplace
Venture-backed
Liquidity
Internal Tools

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