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Partner Operations Lead

icon building Company : Jobgether
icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

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Job Description - Partner Operations Lead










This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Partner Operations Lead based in Canada.


This role is a high-impact, builder-focused position at the heart of a fast-scaling partner ecosystem. You will be responsible for designing and owning the operational foundation that enables partner-led growth across systems, data, and workflows. Rather than maintaining existing processes, you will create scalable infrastructure from the ground up across Salesforce and partner platforms. The role requires strong ownership, systems thinking, and the ability to turn ambiguity into structured, repeatable operating models. You will work cross-functionally with Sales Ops, RevOps, and Partnerships teams to ensure clean data, seamless partner experiences, and reliable reporting. Your work will directly influence pipeline visibility, revenue attribution, and partner performance strategy. This is a highly autonomous role suited for someone who thrives in fast-moving, complex environments.










Accountabilities:


In this role, you will define and operationalize the end-to-end partner operating model, ensuring scalable systems, clean data architecture, and efficient workflows that support partner-driven revenue growth.



  • Build and own the partner data model across Salesforce and Crossbeam, including lifecycle stages, attribution logic, and pipeline tracking from lead to closed-won

  • Design and maintain partner-related Salesforce objects, fields, automation, and validation rules in collaboration with Sales Ops

  • Establish consistent data standards and audit existing datasets to identify gaps and improve data integrity

  • Create a centralized source of truth across systems such as Salesforce, PRM, Crossbeam, Airtable, and other partner tools

  • Own PRM strategy, selection, implementation, and optimization aligned with the evolving partner ecosystem

  • Define and standardize partner engagement processes including lead submission, deal registration, and co-sell workflows

  • Design automation and AI-enabled workflows to improve routing, prioritization, and operational efficiency

  • Integrate AI and enablement tools into structured workflows to reduce manual effort and improve visibility

  • Build and maintain dashboards and reporting frameworks to track partner performance, pipeline, and revenue impact

  • Support commission tracking and partner payout reporting to ensure accuracy and timeliness

  • Collaborate cross-functionally to ensure alignment between partner operations, sales execution, and revenue strategy


Requirements:


The ideal candidate brings strong experience in partner operations, revenue operations, or sales operations, with a proven ability to design scalable systems and operate independently in complex environments. You are highly analytical, technically strong in Salesforce, and comfortable building from scratch.



  • 5+ years of experience in Partner Ops, RevOps, or Sales Ops with ownership of systems and workflows

  • Proven experience building operational systems from the ground up rather than maintaining existing processes

  • Hands-on expertise with Salesforce, including data modeling, automation, reporting, and dashboard creation

  • Experience with partner ecosystem tools such as Crossbeam, PartnerStack, Impartner, Allbound, or similar PRM platforms

  • Strong understanding of co-sell motions, partner pipelines, and revenue attribution models

  • Experience working with automation tools such as Zapier, Airtable, or similar platforms

  • Familiarity with AI tools (e.g., ChatGPT, Claude, Nooks) to enhance operational efficiency and workflow design

  • Strong systems thinking with the ability to simplify complex processes into scalable models

  • Comfortable operating in ambiguity and making independent, ownership-level decisions

  • Strong communication skills and ability to collaborate across technical and non-technical stakeholders


Benefits:



  • Fully remote-first working model with global flexibility

  • High autonomy to structure your work around personal and professional needs

  • Competitive annual bonus or sales incentive plan eligibility

  • Generous paid leave, including family bonding leave

  • 2 paid charitable days per year to support causes you care about

  • Access to global, multicultural teams and international collaboration opportunities

  • Strong people-first culture emphasizing recognition and inclusion

  • Continuous learning support with access to dedicated learning platforms

  • Opportunity to shape and scale a global partner operations function from the ground up


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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