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Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit .

We are looking for a Vice President of Talent Development to lead our global talent development strategy and execution. This role goes beyond traditional Learning & Developmentit's about building a scalable, strategic framework that enables the business to grow and evolve through its people.

The VP of Talent Development will be responsible for shaping and driving the vision for how we assess, develop, and grow talent across the organization. You will partner closely with People Business Partners (PBPs), senior executives, and cross-functional leaders to embed talent strategies that directly support the companys long-term goals. This includes performance management, talent reviews, succession planning, leadership development, and organizational capability building.
The ideal candidate brings deep experience in tech, has operated in global environments, and has seen scale. You are both a strategic thinker and an operational executorcapable of meeting the organization where it is while building toward a centralized and forward-looking talent strategy.

• Build a business-driven talent development strategy that activates internal mobility, capability growth, and leadership readiness as levers for scale.
• Develop and implement scalable frameworks and programs for performance management, 9-box talent reviews, succession planning, and internal mobility.
• Partner with PBPs and senior leaders to identify high-potential talent, assess capability gaps, and drive strategic workforce planning.
• Oversee and evolve the companys leadership development approach, from emerging leaders to executives.
• Own and advance enterprise-wide learning strategies, creating engaging, practical learning experiences beyond traditional L&D offerings.
• Serve as a trusted advisor to executives, using data and insights to influence and drive adoption of talent strategies.
• Utilize talent intelligence and analytics that drive visibility into strengths, gaps, mobility opportunities, and strategic workforce needs.
• Lead change initiatives to transition the organization toward a more integrated and centralized approach to talent management.
• Oversee a high-performing team of talent development professionals to deliver scalable, creative, and culturally relevant solutions globally.
• Build and manage a high-performing Talent Development team to scale your impact.

• 12+ years of progressive leadership experience in Talent Development, Organizational Development, or related fieldswith significant time spent in high-growth tech companies .
• Experience designing and executing global talent programs across multiple geographies and business units.
• Proven success designing and scaling enterprise-wide talent systemsincluding performance enablement , succession planning , and leadership development that drive measurable growth, readiness, and retention outcomes.
• Experience working cross-functionally with People Business Partners and senior executives to align talent initiatives to organizational goals.
• Strong understanding of organizational dynamics , business strategy, and how to align talent practices to support growth.
• Demonstrated ability to lead through change and influence leaders toward more standardized and scalable approaches .
• Embed development into the rhythms of the business, rather than running programs that sit on the sidelines
• Excellent stakeholder management, communication, and facilitation skills.
• Strong data orientation; comfortable using talent data and insights to drive strategy and measure outcomes.
• Bachelors degree required; advanced degree in Organizational Psychology, Human Resources, Business, or related field preferred.

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your familys needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The annual salary hiring range for this position is $300,000-325,000 USD.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

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Gong will collect and use your personal data (e.g. - name, email, resume info) to evaluate your application for employment. Gong will save your personal data for up to 2 years in order to consider you for other, future potential job opportunities. We are happy to delete your data upon request.

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• THE ROLE:
  
  As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement.
  
  THE PERSON:
  
  Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.
  
  KEY RESPONSIBILITIES:
  
  
  • Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories.
  • Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.
  • Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.
  • Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.
  • Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.
  • Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.
  • Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.
  • Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.
  • Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.
  PREFERRED EXPERIENCE:
  • GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.
  • Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.
  • Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.
  • High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability.
  • Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization.
  ACADEMIC CREDENTIALS:
  • Bachelor's and/or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  
  
  #LI-JG1

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

THE ROLE:

As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement.

THE PERSON:

Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.

KEY RESPONSIBILITIES:

• Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories.

• Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.

• Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.

• Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.

• Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.

• Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.

• Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.

• Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.

• Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.

PREFERRED EXPERIENCE:

• GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.

• Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.

• Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.

• High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability.

• Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization.

ACADEMIC CREDENTIALS:

• Bachelor's and/or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

#LI-JG1

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

THE ROLE:

AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

THE PERSON:

The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES:

• Work with AMD's architecture specialists to improve future products
• Apply a data minded approach to target optimization efforts
• Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
• Design, implement, and test features to enhance GPU support in communication libraries, middleware and frameworks
• Benchmark, profile and optimize code to maximize performance of multi-node GPU applications
• Deliver high-quality code and documentation following best practices for open-source software development
• Work with key technical experts across AMD and with our partners and customers to improve ROCm applications, libraries, and tools

PREFERRED EXPERIENCE:

• Years of experience developing system software in C++
• Years of experience with at least one of the following:
• Implementing communication middleware like MPI/SHMEM and CCL Libraries (RCCL, NCCL, oneCCL, etc.)
• Implementing lower-level communication frameworks like UCX and libfabric, or development using RDMA APIs
• Development and optimization of communication collective algorithms (e.g. AllReduce)
• Familiarity with GPU programming in HIP or CUDA
• In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
• Proven track record contributing to open-source projects
• Effective communication and problem-solving skills

ACADEMIC CREDENTIALS:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

LOCATION: Austin, Texas

#LI-JT1

#LI-HYBRID

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement. THE PERSON: Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems. Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance. Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers. Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions. PREFERRED EXPERIENCE: GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: E xperience d in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch ) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: S kill ed in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Solid e xperience d in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization. ACADEMIC CREDENTIALS: Bachelor ’ s and/or Master’s Degree in Computer Science , Computer Engineering, Electrical Engineering, or a related field. #LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. #J-18808-Ljbffr