Job Description
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability. The organization operates globally as a remote-first team of over 2,000 members across 10+ countries, serving the Software and Technology industry.
The Talent Management Partner will independently own execution of workstreams across performance, careers, compensation, and broader talent initiatives. This is a hands-on role for someone who combines strong analytical capability with sound judgment and can support translation of talent problems into scalable solutions, through close partnership with PBPs and functional leaders.
Performance and Careers responsibilities
Apply established job evaluation frameworks to evaluate roles, document rationale, and flag cases requiring calibration for levelling decisions.
Maintain job architectures, career paths, level descriptors and progression criteria, while incorporating approved changes and maintaining version control and source of truth.
Partner with People Business Partners to track architecture gaps and recommend changes when the nature or complexity of work materially evolves.
Independently own execution of assigned modules during performance and promotion review cycles.
Analyze talent outcomes to identify patterns, inconsistencies, and opportunities for improvement.
Compensation and Rewards responsibilities
Conduct market benchmarking using global data platforms to support compensation recommendations.
Analyze compensation and talent data to support pay range design, hiring, retention, promotion, and workforce decisions.
Apply established compensation principles consistently while identifying and escalating exceptions, inconsistencies, and emerging organizational patterns.
Maintain equity and rewards datasets, run defined analyses, and support reporting for strategic rewards initiatives.
Project Coordination and Data Analytics responsibilities
Maintain project plans, trackers, dependencies, schedules, and completion reporting across talent management initiatives.
Build scalable dashboards and standardized reporting templates across initiatives.
Use Apps Script, GPT and API-based workflows, and other automation tools to reduce manual work across recurring analysis, reporting, data validation, and talent operations.
Build and maintain automated data pipelines between talent datasets and reporting outputs, with appropriate data quality and exception flags.
Stakeholder Consulting responsibilities
Serve as the first point of support for PBPs on established talent processes, data, and frameworks, resolving standard queries and escalating judgment-heavy cases.
Analyze issues, validate data, and develop options or inputs for decision-making.
Maintain documentation and templates that enable consistent application of Talent Management processes.
Qualifications and Requirements
5+ years of progressive experience in Talent Management, Compensation and Rewards, People Consulting, Performance, Organization Design, or related disciplines.
Hands-on compensation experience across market benchmarking, salary structures, and pay design.
Working knowledge of job evaluation methodologies, such as Aon, Korn Ferry Hay, Mercer IPE, or equivalent.
Strong analytical and modeling capability with advanced Excel or Google Sheets skills and the ability to translate complex data into actionable recommendations.
Aptitude to create basic Apps Script and ChatGPT API-based workflows to reduce manual effort in recurring tasks.
Knowledge of career architecture, leveling, performance, and organization design principles.
Strong stakeholder consulting and communication to explain complex concepts clearly.
Ability to navigate ambiguity and exercise sound judgment when applying talent and compensation principles.
Experience working in a global workforce.
Preferred experience in talent and rewards consulting such as Mercer, Aon, WTW, Korn Ferry, Big 4 People Advisory, or similar.
Preferred experience in SaaS, technology, or high-growth environments, with exposure to equity compensation or pay-equity analysis.
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Success Stories from Candidates Placed in this Field
Indusha Rao - Bangalore
ERBrains, Bangalore
★★★★★
"It was very nice working with your team, I was getting good number of opportunities and the team was always available whenever needed. Thanks again for all the support and help, I got placed as HR manager in ERBrains"
Snehal Tulsankar - Mumbai
Laxmi Dental Limited, Mumbai
★★★★★
"Thank You for the Opportunity Dear Pallavi and Consulting Team, I sincerely thank you for your support and efforts in placing me at Laxmi Dental Ltd, Andheri West, Mumbai. I truly appreciate the smooth
coordination and guidance throughout the proces"
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