Jobs in Canada

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Added 20 mins ago
PF
Scientifique principal·e des données - BESS | Senior Data Scientist - BESS
Power Factors
Remote, Canada
- Remote
Added 35 mins ago
OT
Lead Product Manager (Bilingual/ Fax/ Telco)
Open Text Corporation
Ottawa, ON · Richmond Hill, ON
- Other
…launch the next generation of a Digital Fax application. The Lead Product Manager is responsible for definition and execution of the product strategy, delivery of new application releases,…
Added 35 mins ago
OI
Robotic Systems Sr Designer f/m
Orthosoft Inc.
Montreal, QC
- Other
Hybrid role with a minimum expectation of three days per week in office
Added 50 mins ago
SP
Talent Advisor, AI Labs
Salesforce Partner Canada
Toronto, ON
- Full-time
Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies
Added 50 mins ago
PF
Scientifique principal·e des données - BESS | Senior Data Scientist - BESS
Power Factors
Montreal, QC
- Full-time
Added 1 hour ago
AS
NAC Sales - SaaS Product
Azeus Systems Limited
Canada
- Full-time
Azeus Systems Limited is looking for a Business Development Manager to be part of our growing sales force for our product, Azeus Convene. Convene is a meeting and collaboration solution for…
Added 1 hour ago
AC
NAC Sales - SaaS Product
Azeus Convene
Remote, Canada
- $2,000 to $5,000 CAD / year
- Full-time
- Remote
Azeus Systems Limited is looking for a Business Development Manager to be part of our growing sales force for our product, Azeus Convene. Convene is a meeting and collaboration solution for…
Added 1 hour ago
Senior Product Manager
AutoTrader.ca
Toronto, ON
We’re hiring a Senior Product Manager to drive initiatives within one of our flagship products, Activix CRM. You’ll set the vision, define the strategy, and lead execution across…
Added 1 hour ago
GC
directeur.trice de la conception de l’engagement des joueurs / Engagement Design Director
Game Companies
Montreal, QC
- Full-time
You will lead the vision and creation of meta experience for players - from fun and challenging progression systems that inspire players, to elegant economy designs that bring fun in…
Added 1 hour ago
LT
Software Developer II
LMI Technologies
Burnaby, BC
- Full-time
This is your chance to be a key driver of LMI's GoPxL product platform. GoPxL is the next-generation platform behind the 3D sensors that are the "eyes" of industrial automation, and we have…
Added 2 hours ago
MC
Senior Marketing Specialist- US and Canada Locations
MMC Corporate
Toronto, ON
- Other
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 2 hours ago
MM
Information Security Lead
Mama Money
Canada
- Full-time
…2015 as a cross-border payments service has grown into a multi-product financial platform - giving people the tools to send, save, and manage money on their own terms, at a socially fair…
Added 2 hours ago
Team Lead, Software Engineer - Data
ACV
Toronto, ON
…for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar…
Added 3 hours ago
NA
corporate sales manager
North America Electrical Energy Equipments Co., Ltd.
Bolton, ON
- Full-time
Determine strategic planning related to new product lines
Added 3 hours ago
CC
RQ11834 - Business Analyst
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Must Haves Experience:
Added 4 hours ago
EC
Outside Sales Representative
Eaton Corporation
Delta, BC
- Full-time
Lead product seminars for channel partners and contractors and participate in customer events and trade shows.
Added 4 hours ago
AA
Spécialiste des Systèmes de Freinage / Braking System Specialist
Airbus Aircraft
Montreal, QC
- Full-time
Added 4 hours ago
AA
Analyste de l'Offre Produit, Systèmes cabine - Product offer analyst, Cabin systems
Airbus Aircraft
Mirabel, QC
- Full-time
Analyste de l’Offre Produit, Systèmes cabine - Product offer analyst, Cabin systems
Added 4 hours ago
VC
Enterprise Implementation Consultant (Salesforce Commerce Migration)
VTRAC Consulting Corporation (WBE)
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This is a great opportunity for an experienced technical Consultant to lead enterprise eCommerce modernization and platform transformation initiatives. This client-facing position focuses…
Added 4 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 4 hours ago
M
Senior Marketing Specialist- US and Canada Locations
Marsh
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 4 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 5 hours ago
S
Talent Advisor, AI Labs
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies
Added 5 hours ago
D
Senior Advisor, Product administration
Desjardins
Montreal, QC
- Full-time
As a senior product administration advisor, you provide administrative support to Desjardins components and help administer specialized products and member/client accounts. You lead…
Added 5 hours ago
L
Product Operations Educator | Bloor St.
lululemon
Toronto, ON
- Full-time
Must have the ability to travel to assigned store with reliable transportation methods

Salesforce Partner Canada

Talent Advisor, AI Labs

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Dec 13, 2026
Experience: 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles
Posting language: English
Posted: Nov 13, 2026

Original job description

Description

What You'll Be Doing & Why It Matters

Salesforce is building the AI-powered future of enterprise software - and we need a world-class recruiter to help us win the most contested talent market in the industry. This isn’t a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas; Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next generation of innovators and builders.

You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You’ve navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world - and you’ve won.

Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world.

Agentforce & Einstein AI - You’ll be recruiting for the teams building the AI products deployed by the world’s largest enterprises, at a scale and data advantage no startup can match

Real Impact - This is not a support role. You will shape hiring strategy and directly influence how Salesforce’s AI org is built

World-Class Colleagues - Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape

Scope & Scale - Only a handful of companies in the world operate at Salesforce’s scale with this level of AI investment. The scope of what you’ll recruit for here is unmatched

Core Responsibilities & Scope

Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations
Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent
Build and maintain high-quality, research-grade talent pipelines - proactively mapping the market and engaging passive talent before requisitions open
Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies
Serve as a trusted advisor to hiring managers - pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making
Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience
Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives

Minimum Requirements

5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles
Deep experience at a top-tier tech company - Meta, Google, or equivalent - where the talent bar is exceptionally high and the competition is fierce
Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers
Strong fluency in ML and AI concepts - enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines
Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools
Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market
Consultative, data-informed approach to recruiting - you bring market data, benchmarking intelligence, and candidate insights to every hiring manager interaction
Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders

Preferred Qualifications

Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI)
Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.)
Background working within large, matrixed organizations where recruiting requires influencing without authority

Apply on LinkedIn About employer

More about this job

Responsibilities

Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and Data Scientist roles, building proactive talent pipelines and partnering with senior technical leaders to shape hiring strategy. Advise hiring managers with market intelligence, negotiate complex compensation packages, and collaborate with recruiting partners to deliver a high-touch candidate experience.

Requirements

Requires at least five years of full-cycle technical recruiting experience, with substantial recruiting experience in Applied Science, Machine Learning, or Data Science at a top-tier technology company. Candidates should understand AI/ML concepts and the technical talent landscape, have experience building pipelines and negotiating complex offers, and bring a consultative, data-informed approach.

Skills

Full-Cycle Recruiting
Technical Recruiting
Applied Science Recruiting
Machine Learning Recruiting
Data Science Recruiting
Talent Pipeline Development
Market Mapping
Candidate Sourcing
Offer Negotiation
Compensation Benchmarking
Hiring Strategy
Market Intelligence
Large Language Models
Deep Learning
Natural Language Processing
Computer Vision

Visa sponsorship

Not detected in the job text

Keywords

Salesforce
Agentforce
Einstein AI
Applied Science
Machine Learning
Data Science
Artificial Intelligence
Research Scientists
Applied Scientists
Machine Learning Engineers
Data Scientists
MLOps Engineers
Large Language Models
Deep Learning
Natural Language Processing
Computer Vision
Model Development Pipelines
Full-Cycle Recruiting
Talent Pipeline Development
Market Mapping
Passive Candidate Engagement
Compensation Benchmarking
Equity Compensation
Sign-On Packages
Candidate Experience
Academic Recruiting
AI Research Labs
FAANG
Talent Market Intelligence

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Jobs in Canada