Talent Acquisition Partner; R&D

The Role

We’re looking for a Talent Acquisition Partner, R&D to help scale the technical engine behind Stack Adapt. In this role, you won’t just fill roles - you’ll shape teams that build and evolve the core infrastructure of our platform. You’ll partner closely with Engineering, Data Science, and Product leaders to understand architectural challenges, scaling plans, and long-term roadmap priorities. You’ll act as a strategic advisor on hiring strategy and talent market dynamics while delivering exceptional technical hires in one of the most competitive talent markets.

This is a high-impact role for a technically curious recruiter who thrives in complexity, builds trust with engineering leaders, and wants to influence how great technical teams are built.

• Own full-cycle recruitment for critical technical roles across Engineering, Data Science, Infrastructure, and Product
• Lead deep intake conversations to understand system architecture, technical trade-offs, team topology, and leveling strategy
• Design and execute proactive sourcing strategies to attract high-performing technical talent across backend, distributed systems, machine learning, data engineering, and platform teams
• Evaluate candidates for technical rigor, problem-solving capability, and long-term impact
• Use pipeline data and conversion metrics to diagnose bottlenecks and continuously improve hiring velocity and signal quality
• Advise leaders on market realities, compensation positioning, and talent availability within highly competitive technical domains
• Elevate the technical interview experience by partnering on structured evaluations and bias-reducing practices
• Identify and implement process improvements that increase speed, quality, and candidate experience

• 3+ years of full-cycle recruiting experience, with meaningful exposure to technical or R&D hiring
• Demonstrated experience recruiting for engineering, data science, infrastructure, or technical product roles
• Technical fluency — you can confidently discuss tech stacks, system design expectations, and engineering team structures
• A strong sourcing mindset with experience engaging passive technical talent
• Comfort operating in competitive technical markets and navigating complex offer negotiations
• Data-driven decision-making — you use metrics to refine strategy and improve outcomes
• Strong stakeholder management skills and the ability to influence technical leaders
• High ownership, strong prioritization skills, and the ability to manage multiple complex searches in a fast-paced growth environment

Ontario Residents Only

$76,000 - $90,000 CAD

• The final compensation offer will be determined by a variety of factors, which may include the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
• Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.
• Compensation may include annual bonuses, commissions, equity awards, and a comprehensive benefits package.

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally
• Competitive Paid time off packages including birthdays off
• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Support for personal development initiatives (conferences, courses, books, etc.)
• Access to Stack Adapt programmatic courses and certifications
• Parental leave program
• Friendly, welcoming, and supportive culture
• Social and team events

Stack Adapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with, you are welcome  you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.