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Added 3 mins ago
FC
Senior Manager, Tax
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Waabi

Senior Compensation Manager

Toronto, ON, Canada

$175,000 to $260,000 USD / year · Full-time

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Job details

Pay: $175,000 to $260,000 USD / year
Job type: Full-time
Experience: 7+ years of compensation experience, ideally in high-growth technology companies, including owning annual cycles and multi-location benchmarking.
Posting language: English
Posted: Oct 7, 2026

Original job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

About the role

Waabi continues to scale its breakthrough technology into commercial deployment, and how we attract, reward, and retain exceptional people will be central to the ongoing growth and innovation. This role directly shapes that story: understanding where the business is going and ensuring our compensation structure continues to support that trajectory. You'll be responsible for designing for the current and the future while also being the trusted expert for employees, managers, executives, and company leadership when it comes to our compensation approach and program.

You will...

Anchor compensation in the business trajectory. Build a deep understanding of Waabi's growth path, including headcount plans, commercialization milestones, geographic expansion, and funding outlook, and use it to guide compensation decisions.
Design the compensation structure of the future and the plan to get there. Define how base, equity, and variable pay work together to support where the business is headed. Understand today’s structure, set the long-term philosophy, ranges, and grant guidelines, then lay out the roadmap and sequencing to evolve if needed.
Own the end-to-end annual compensation cycle, including administering the compensation tool and partnering with managers and senior leaders to plan outcomes for their teams. Streamline and scale the process, including through AI tools where they add value.
Lead market benchmarking for all roles across Waabi's locations, deeply understanding the job architecture and talent marketplace, to effectively complete job matching, survey submissions, and recommending updates to cash and equity ranges.
Build bottoms-up compensation forecasts with Finance, modeling spend and equity usage against the business plan. Own a variety of modeling and analysis projects to inform decision making.
Lead compensation enablement and education across the organization. Be the single owner of how Waabi teaches compensation:
- Training managers on the structure, philosophy and how pay decisions are made
- Helping employees understand the value and mechanics of their total compensation, including stock options
- Equipping Recruiting to structure competitive offers
- Building employee communications that tie it together
Communicate and advise across company leadership. Translate complex compensation topics into clear recommendations and trade-offs for the executive team. Manage preparation of compensation materials for board review and discussions
Ensure pay equity and compliance through regular reviews and adherence to pay transparency and reporting requirements across the U.S. and Canada.

Qualifications:

A bachelor's degree in Economics, Finance, Business, Human Resources, or a related field.
7+ years of compensation experience, ideally in high-growth technology companies, including owning annual cycles and multi-location benchmarking.
Experience designing compensation philosophy, structures and programs (salary, variable and equity).
Extensive analytical and modeling skills (including building forecasts) as well as expertise in benchmarking and survey methodology (Radford, Carta, Pave, etc).
Executive presence, with clear, confident communication to employees, managers, and senior executives.
Strong collaboration and communication skills
Sound judgment and discretion with sensitive, confidential information.
Enthusiasm for applying AI tools (e.g., ChatGPT, Claude) to improve workflows.
Open-minded and collaborative team player with the willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

Experience with private company compensation planning, including planning through company evolution (revenue, funding, and maturity).
Experience managing preparation for board review of compensation programs.
Direct experience in HIgh-Tech, AI or AV company, with an understanding of how the talent marketplace shapes pay.
Hands-on experience using AI tools (e.g., Claude, ChatGPT) to automate compensation analysis, modeling, or cycle workflows.

The US yearly salary range for this role is: $175,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

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Perks/Benefits:

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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More about this job

Responsibilities

You will design and manage the company's compensation structure, including base, equity, and variable pay, to support business growth and commercialization. Additionally, you will lead market benchmarking, ensure pay equity, and provide expert guidance to leadership and employees regarding total compensation.

Requirements

The role requires a bachelor's degree and at least 7 years of experience in compensation, particularly within high-growth technology companies. Candidates must possess strong analytical and modeling skills, expertise in benchmarking methodologies, and the ability to communicate complex topics to executive stakeholders.

Skills

Compensation strategy
Equity planning
Market benchmarking
Financial modeling
Job architecture
Data analysis
Pay equity
Compliance
Executive communication
AI tools
Forecasting
Survey methodology
Total rewards
Project management
Stakeholder management

Benefits

Competitive compensation
Equity awards
Medical coverage
Dental coverage
Vision coverage
Unlimited vacation
Flexible hours
Work from home support
Daily drinks
Snacks
Catered meals
Team building activities

Visa sponsorship

Not detected in the job text

Keywords

Compensation
Equity
Physical AI
Autonomous transportation
Benchmarking
Radford
Carta
Pave
Financial modeling
Pay equity
Job architecture
Total rewards
AI tools
ChatGPT
Claude
High-growth
Human Resources
Forecasting
Board reporting
Compliance
Variable pay
Salary structure
Data analysis
Stakeholder management
Autonomous trucks
Robotaxis
Deep tech
Logistics
Automotive
Compensation cycle

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