Toronto, Ontario, Canada · Remote OK
$100k–$140k/yr
Come join our Data team! High velocity, high intensity, high trust, high bar, high impact, and a will to win. If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads …
Skills: Python, SQL, Machine Learning, Natural Language Processing, Recommendation Systems
Toronto, Ontario, Canada · Hybrid
$140k–$175k/yr
Are you excited by the opportunity to secure products used by millions of professionals around the world? Join Thomson Reuters as a Manager, Product Security, where you will lead a senior team building the platforms, pro…
Skills: Product Security, Secure SDLC, AI Red Teaming, Threat Modeling, Vulnerability Management
Toronto, Ontario, Canada · Hybrid
$140k–$175k/yr
Are you excited by the opportunity to shape how AI-powered products are designed and secured at enterprise scale? Join Thomson Reuters as an AI Security Associate Architect, where you will help define secure architecture…
Skills: Security Architecture, Threat Modeling, GenAI Security, Cloud Security, Application Security
Toronto, Ontario, Canada · On-site
Scotiabank ABM Delivery Services Team is looking for a Senior Operations Support team member to assist in providing maintenance and support functions for the ABM and CRU fleet across Canada. Is this role right for you? I…
Skills: Vendor Management, Incident Escalation, Power BI, Power Automate, Agile Methodology
Toronto, Ontario, Canada · On-site
Job Description WHAT IS THE OPPORTUNITY? The role is for Global Data Center engineering lead managing a high performing team of senior engineers responsible for all the networking technology running in the RBC’s global d…
Skills: Cross-Team Collaboration, Decision Making, Information Technology Trends, Long Term Planning, Network Architecture
Toronto, Ontario, Canada · Hybrid
$170k–$210k/yr
Business Unit: Company 3 Position: Senior Engineering Director, Postproduction & VFX Location: Toronto, ON (Hybrid) Pay Range: $170,000 - $210,000 CAD annually POSITION SUMMARY: The Senior Engineering Director of Post Pr…
Skills: Technical Leadership, Infrastructure Management, Post-production Pipelines, VFX Workflows, Storage (NAS/SAN)
Toronto, Ontario, Canada · On-site
$92k–$138k/yr
Hiring Manager: Josh Reif Talent Acquisition Advisor: Draun Raval Job Code Level: IBP4 Refer Your Friends! AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation,…
Skills: Data Product Management, PowerBI, SQL, Agile Methodologies, Data Visualization
Toronto, Ontario, Canada · Hybrid
$120k–$145k/yr
Who we are At illumin, we are transforming the advertising landscape. Our platform offers an integrated space for journey planning, execution, and reporting. It empowers marketers to connect with their audiences in power…
Skills: Full Sales Cycle Management, Digital Advertising Sales, Programmatic Sales, CRM Proficiency, Consultative Selling
Toronto, Ontario, Canada · On-site
Job Description What is the opportunity? The Advanced Observability team offers a unique opportunity to be at the forefront of product, innovation, and strategy; shaping the future of RBC's Cyber Technology Observability…
Skills: React, JavaScript, TypeScript, Python, PostgreSQL
Toronto, Ontario, Canada · Hybrid
$100k–$110k/yr
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Syne…
Skills: Production Support, Python, Perl, Linux, SQL
Toronto, Ontario, Canada · On-site
$70k–$90k/yr
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and …
Skills: React.js, TypeScript, Redux, RTK Query, React Testing Library
Toronto, Ontario, Canada · On-site
$171k–$286k/yr
Alexa is the personal assistant and cloud service that powers the next generation of ambient computing devices, devices designed around your voice. We believe voice is the most natural user interface for interacting with…
Skills: Engineering Team Management, System Architecture, Multi Tier Web Services, Agile/Scrum, Software Development Life Cycle
Toronto, Ontario, Canada · On-site
$25/hr–$29/hr
Job DetailsJob Location: Toronto - Toronto, ON M3B 1S1Salary Range: $25.50 - $29.00 HourlyAbout BearCom: Largest Distributor of Wireless Voice, Data, and Video Solutions in North America 40+ Years Industry-Leading Experi…
Skills: Two-Way Radio Installation, RF Troubleshooting, Mobile Installations, Programming Codeplugs, DAS/BDA Systems
Toronto, Ontario, Canada · On-site
$25/hr–$29/hr
Job DetailsJob Location: Toronto - Toronto, ON M3B 1S1Salary Range: $25.50 - $29.00 HourlyAbout BearCom: Largest Distributor of Wireless Voice, Data, and Video Solutions in North America 40+ Years Industry-Leading Experi…
Skills: Wireless Communications Installation, Two-Way Radio Repair, RF Propagation, Mobile Installations, Troubleshooting
Toronto, Ontario, Canada · Hybrid
$88k–$122k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Operations Job Details About Salesforce Salesforce is the #…
Skills: Project Management, Salesforce CRM, Salesforce CPQ, Lead-to-Cash, Advanced Excel
Toronto, Ontario, Canada · On-site
$171k–$286k/yr
Join Amazon Robotics and lead the development of infrastructure technology that powers automation across Amazon's fulfillment operations globally. In this role, you'll manage teams building edge and cloud services that e…
Skills: Engineering Team Management, Multi-tier Web Services, Edge Computing, Cloud Services, System Architecture
Toronto, Ontario, Canada · Hybrid
$58k–$88k/yr
Location: Toronto, Ontario or Mississauga, Ontario – Hybrid (4 days/week in office) Company: Mattamy Asset Management Department: IT Enterprise Services Employment Type: Full-Time Reports to: Senior Manager, Financial Sy…
Skills: Financial Systems Administration, Data Governance, Financial Data Analysis, Data Validation, Reconciliation
Toronto, Ontario, Canada · Hybrid
$130k–$155k/yr
This role is eligible for our hybrid work model: Two days in-office. Development Manager - Full Stack This role is eligible for our hybrid work model: Two days in-office. Our Technology team is the backbone of our compan…
Skills: Java, JavaScript, TypeScript, API, Webservices
Toronto, Ontario, Canada · Hybrid
$100k–$120k/yr
This role is eligible for our hybrid work model: Two days in-office. Front End Developer Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs o…
Skills: JavaScript, React, Node.js, GraphQL, SQL
Toronto, Ontario, Canada · Hybrid
$54/hr–$71/hr
Job DescriptionJob Posting: Cybersecurity Analyst Sr: contact ending January 7, 2027 You will be working on a remote schedule as part of Fidelity’s dynamic working arrangement. Current work authorization for Canada is re…
Skills: Incident Response, Threat Hunting, Security Log Analysis, Vulnerability Management, Malware Detection
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Build and deploy models for matching, recommendation, and ranking to connect job seekers with appropriate skills and pathways. Collaborate with Engineering and Product teams to move models into production and translate complex data into actionable insights.
Requires 4+ years of applied data science experience with a proven track record of shipping models into real products. Must have explicit experience with workforce, jobs-and-skills, or closely related labor market data.
If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.
At FutureFit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.
Ready to make an impact? Apply today.
Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit.
We're seeking a Data Scientist to join our team. You will build the models at the heart of our product: the systems that connect people to the right jobs, skills, and pathways. This is hands-on, applied data science on real workforce problems, working with skills and occupation taxonomies, labor market data, and the matching and recommendation systems that turn that data into better outcomes for job seekers. You will partner closely with Engineering, Product, and our Director of Data & AI to take models from idea to production.
Applied modelling: Build, evaluate, and ship models for matching, recommendation, and ranking that directly shape the job seeker experience.
Skills and jobs data: Work with skills, occupation, and career taxonomies and labor market data, improving how we represent and reason about the world of work.
Production partnership: Collaborate with Engineering to move models into production reliably, and monitor and improve them once they are live.
Clear analysis: Translate messy, real-world data into clear findings and recommendations that the team and our customers can act on.
Strong applied data science experience (roughly 4+ years), with a track record of shipping models that made it into a real product
Explicit jobs-and-skills or workforce data experience, OR experience with closely related data where there is a clear pathway to apply it to workforce problems (this is a firm criterion for the role)
Fluency in Python and SQL, and solid grounding in machine learning, NLP, and recommendation/matching techniques
Comfort working with large, imperfect datasets and making sound judgment calls about them
Clear communication: you can explain a model and its tradeoffs to a non-technical audience
Experience with recommender systems, ranking, or search at scale
Familiarity with skills/occupation frameworks (e.g. O*NET, ESCO) or HR/labor market data
Experience pairing classical ML with LLMs, including where to use each and how to add guardrails
Publications, presentations, blog posts, or other public artifacts showcasing your expertise and depth of knowledge in data science
Languages: Python, SQL
Machine learning and NLP: scikit-learn, modern NLP and embedding tooling, AWS SageMaker
Data orchestration and transformation: Airflow, dbt
Data storage and warehousing: PostgreSQL, Redshift, MongoDB
Visualization and reporting: Looker
Your alma mater isn't our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately, you're our person.
We are open to candidates living anywhere in Canada or the US. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station).
Although this role is remote, you may be expected to travel up to once per quarter for offsites and team gatherings.
The base salary range for this role is USD $100,000 to $140,000 for candidates based in New York and CAD $110,000 to $155,000 for candidates based in Toronto, benchmarked to the middle of the market for comparable venture-backed companies. This range reflects the varying levels of expertise and responsibilities that will be determined through the interview process, based on applied experience and other criteria established by the hiring committee. Compensation ranges are reviewed regularly and adjusted to reflect market conditions and cost of living in each location.
At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start.
Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:
Online Application
Initial Screen with Director of People & Culture
Interview with Hiring Manager
Performance Challenge
Final 1:1 Interviews
Final Decision
Generally, this entire process takes around 6 weeks, although the timing can vary due to specific candidate circumstances.
At FutureFit AI, we're not just building a company—we're transforming how talent and opportunity connect. Join our driven team united by a commitment to job seekers and the workforce ecosystems we serve.
Team: 30-50 across US and Canada (hubs in NYC and Toronto)
Customers: Workforce development agencies and intermediaries, government agencies, employers
Industry: SaaS/AI technology
Funding: Bootstrapped 0-1, then raised funding led by JP Morgan
Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations
Be Curious
Drive to Outcomes
Raise the Bar
Speed Matters
Own It
We Over Me
At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:
Screening support: AI may help us compare applications against the skills and experience required for a specific role. These skills are defined by the hiring team for each position. A human reviews each application, with the AI assessment as just one input.
Interview support: In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.
Insights, not decisions: AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. Every hiring decision is made by people.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.
© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.
Empowering Workers with a "GPS for your Career"
FutureFit AI partners with Fortune 500 companies, governments, and workforce development organizations to provide an AI-powered tool that acts as a GPS to help workers navigate career transitions, supporting them from career navigation, to reskilling, to job placement. FutureFit AI uses over 350 Million global talent profiles, live labor market data and projections, and proprietary algorithms to identify an individual's skills, recommend possible career paths, and create a personalized roadmap of learning programs, career support resources, and coaching to drive successful job outcomes. FutureFit AI's work in using AI to support reskilling efforts and reimagine layoffs through outskilling has been recognized and covered by the Wall Street Journal, World Economic Forum, US Government, UK Government, and Nesta.
Offices: New York City, US · Toronto, CA
There are currently 2,926 open technology positions in Toronto, Canada listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include RBCx, RBC, Scotiabank, TD, BMO, among others. Browse the listings above to see every active employer.
Yes — 1503 of the 2926 open technology positions offer remote or hybrid work (305 remote, 1198 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
