Title: Contract Product Manager (Talent Acquisition Technology) Location: United States, Remote Job Description: Requisition ID   26064 Country   United States of America Location type   Remote About Us   Korn Ferry is a global consulting firm that powers performance. We unlock the potential in your people and unleash transformation across your business - synchronizing strategy, operations, and talent to accelerate performance, fuel growth, and inspire a legacy of change. That’s why the world’s most forward-thinking companies across every major industry turn to us - for a shared commitment to lasting impact and the bold ambition to Be More Than. Headquartered in Los Angeles, our over 9,000 colleagues globally serve clients in more than 50 countries.  We offer five core capabilities that span the full talent lifecycle: - Organizational Strategy - Assessment and Succession - Talent Acquisition - Leadership Development - Rewards and Benefits Job description   We are seeking a Contract Program Manager to lead Enablement for Korn Ferry Nimble Recruit (KFNR), our bespoke technology platform that combines our people expertise and decades of data with the best AI, analytics, and virtual tools around. This role is accountable for scaling adoption, proficiency, and value realization for both existing and new KFNR clients through a repeatable enablement program and high-touch engagement with strategic accounts. The ideal candidate combines strong program management and stakeholder leadership skills with the ability to speak to technical and product details, partner closely with Product and Technology teams on upcoming releases, and translate platform capabilities into client-ready messaging, training, and enablement assets that drive expansion of the KFNR module set. Key Responsibilities: KFNR Client Enablement Strategy & Program Execution - Own the KFNR enablement strategy across the client lifecycle (launch, adoption expansion), including program design, delivery approach, and continuous improvement. - Lead strategic account reviews focused on outcomes, usage, value realization, and next-step enablement plans; align priorities with account leaders and client stakeholders. - Design and facilitate role-based training/demos (admins, recruiters, hiring managers, interviewers) via live sessions, workshops, office hours, and scalable resources to drive proficiency and feature adoption. Product & Release Readiness (Partnering with Korn Ferry’s Product/Tech teams) - Partner with Product Management and Technology teams to stay ahead of the roadmap, understand requirements and technical impacts, and translate upcoming capabilities into client-facing enablement plans. - Drive release enablement: create release briefings, what’s-new content, FAQs, and training updates; coordinate stakeholder communications and client readiness activities. - Provide structured feedback loops from clients and account teams (usage blockers, feature requests, integrations pain points) to inform product prioritization and improve adoption outcomes. - Maintain technical fluency across KFNR capabilities (configuration, roles/permissions, data flows, integrations/APIs where applicable) and collaborate with SMEs to ensure accuracy in enablement materials. Technical Enablement, Integrations & Issue Coordination - Act as a technically credible partner in client discussions, helping clients understand KFNR architecture concepts, data considerations, and integration options at the appropriate level for their stakeholders. - Coordinate enablement for integrations and changes (e.g., API updates, authentication/workflow changes) by partnering with technical teams; support triage/escalation and ensure learnings are captured in reusable guidance. Stakeholder Management, Client Communications & Executive Storytelling - Serve as the enablement lead and primary coordinator across client stakeholders, account leaders, Customer Success/Delivery, Product, and Technology teams to drive shared adoption and value outcomes. - Create and maintain client-facing enablement assets such as pitch decks, value narratives, adoption plans, training decks, and executive readouts that clearly communicate KFNR benefits and best practices. - Track and communicate enablement progress and outcomes using agreed metrics (e.g., training completion, feature adoption, module utilization, time-to-value signals) and recommend actions to improve adoption. Enablement Operations, Governance & Continuous Improvement - Establish repeatable enablement playbooks, templates, and governance (e.g., standard account review cadence, training paths, communications plan) to scale consistent delivery across clients. - Continuously improve enablement effectiveness by incorporating feedback, usage trends, support themes, and release learnings; maintain a current repository of KFNR enablement content. Qualifications: - Bachelor’s degree in Business, Technology, Learning/Enablement, or a related field; advanced degree or PMP/Agile certification is a plus. - 7+ years of experience in program/project management, product enablement, customer enablement, solutions consulting, or customer success within a B2B SaaS/technology environment. - Proven ability to lead executive-level client conversations, facilitate strategic account reviews, and influence adoption/expansion outcomes through structured enablement plans. - Technical fluency to understand product depth and requirements (including configuration concepts, data flows, and integrations) and translate complex topics into clear, audience-appropriate guidance. - Strong cross-functional leadership skills with demonstrated partnership across Product, Engineering/Technology, Account teams, and client stakeholders. - Excellent communication, facilitation, and storytelling skills; experience creating high-quality client-facing materials (slide decks, playbooks, release notes, training content). - Comfort working with common tooling (e.g., PowerPoint, Excel, JIRA/Confluence or similar) and using data to track enablement effectiveness and adoption progress. Preferred Experience: - Experience in Talent Acquisition technology, ATS/CRM platforms, RPO environments, or HR tech consulting. Experience building scalable enablement programs (webinars, workshops, office hours, eLearning/LMS, certifications) and partnering on adoption/usage analytics. Korn Ferry may use AI as part of its recruitment process, but all hiring decisions are made by humans. Internal Mobility at Korn Ferry If you currently work for Korn Ferry or one of our affiliates, you must be eligible to apply for a different position within Korn Ferry to use the Careers Site. If you accept such a position, your benefits programs and Human Resources policies may change. Please consult with your HR contact for the new position concerning application eligibility, including any immigration/visa needs, benefit programs, and HR policies applicable to that position. Korn Ferry is an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law. #LI-DNI   Pay Transparency for Remote Workers If you are a resident of New York, Colorado, California, Washington, Hawaii, District of Columbia, New Jersey, Maryland, Illinois, Massachusetts or Ohio, please click here for remote opportunities with Korn Ferry in your state/province. Reference Job Id: 26064  Background Check Disclaimer The successful candidate will need to complete background checks as part of our recruitment process, this may include criminal, education credentials, employment history, and other background information relevant to your employment qualifications

Role Description USA TODAY Co. uses AI build-out across our newsrooms and product surfaces with journalistic standards, and this role sits at the center of that work. You will turn real newsroom workflows into working AI products like rapidly working prototyping, pressure testing what’s real, and then partnering with core product teams to ship and scale what works. You’ll join a small, hands-on AI product group embedded in the enterprise, working directly with reporters, editors, and internal stakeholders to uncover high value problems, design and test AI-powered solutions, and generate the evidence needed for investment decisions. Once ideas show product market fit sign, you’ll own the handoff: translating prototypes into crisp specs and collaborating with engineering and editorial to launch, iterate, and maintain them in production. This is a builder operator role. You move quickly from idea to working demo, and you bring rigor to what sticks — defining success, measuring impact, and killing what doesn’t deliver. What You’ll Do - Discovery & Prototyping - Build lightweight, end-to-end AI prototypes using our approved stack (Copilot Studio, Power Automate, OpenAI API, Perplexity API, n8n, Gemini Code Assist) to validate concepts before committing engineering time. - Embed with newsroom and internal teams to observe real workflows, identify painful bottlenecks, and separate high-leverage problems from nice-to-haves. - Run fast, lightweight user research from hallway tests to structured sessions — to put prototypes in front of reporters and editors and synthesize clear, actionable insights. - Identify early product-market fit signals (adoption, repeat usage, time saved, quality uplift), then make the explicit call to double-down, pivot, or shut ideas down. - Bring deep empathy for newsroom teams and a sharp editorial sensibility to AI-powered internal tools that make our journalism more efficient to produce and more impactful when it reaches readers. - Core Product Collaboration - Act as the AI subject-matter partner to core product and engineering teams, translating validated experiments into clear, prioritized, implementation-ready specs. - Co-lead discovery with engineering to refine problem statements, clarify edge cases, and align technical tradeoffs, especially around model selection, latency, and safety. - Capture user insights, prototype behavior, and evaluation results in well-structured discovery tickets that engineering can execute without ambiguity. - Portfolio Ownership & Operations - Own a slice of USA Today’s AI product portfolio, managing smaller enhancements and maintenance work across live tools used in newsrooms and internal operations. - Triage issues from users, instrumentation, and support channels; quickly identify root causes and drive resolution with the right product, engineering, or platform teams. - Monitor live AI features for quality, safety, and friction signals (e.g., hallucinations, latency, poor completion rates), and proactively propose fixes or experiments. Qualifications - 5+ years in product management, including at least 2 years directly building or shipping AI/ML or GenAI-powered products. - Demonstrated ability to build functional AI prototypes yourself (e.g., workflows, bots, internal tools); you don’t need to be an engineer, but you can show working systems you created. - Hands-on experience with at least some of: Copilot Studio, Power Automate, OpenAI API, n8n, or comparable enterprise AI / low-code platforms. - Strong user research instincts. You can quickly design scrappy studies, get real signals from busy users, and turn it into concrete product decisions. - Excellent spec-writing and communication skills: you can turn ambiguous, qualitative prototype learnings into sharp requirements, clear scopes, and success metrics. - Proven ability to navigate large, matrixed organizations and build trust with both technical teams and editorial leaders. - High comfort with ambiguity and change; you’re energized by defining the roadmap as much as executing it, and you’re willing to shut down your own ideas when the data says so. Bonus Points - Experience in media, news, or other content-heavy environments where deadlines, trust, and accuracy matter. - Familiarity with newsroom workflows and reporter/editor pain points, from story discovery through production, packaging, and distribution. - Experience designing or contributing to AI evaluation and governance frameworks (e.g., quality, safety, bias, and performance metrics). - Working knowledge of prompt design, RAG architectures, and AI-assisted content workflows at a practical, hands-on level. Benefits - The annualized base salary for this role will range between $120,000 and $125,000. - Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. - Note: variable compensation is not reflected in these figures and based on the role, may be applicable.

Role Description WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey. Qualifications - 7+ years of combined experience in a product management role managing Systems Software or Hardware Products. - Ability to write detailed MRD, PRDs and technical use case specifications. - Experience with system bus (PCIe), networking and storage concepts and technologies. - Deep, technical understanding of enterprise storage environments, deployments and use cases. - Thorough understanding CPU and memory subsystem architectures is expected. - Strong business acumen and ability to analyze choices from economic and technical merits. - Excellent verbal and written communication skills. - Demonstrated critical thinking ability + inquisitiveness and curiosity to challenge the status quo. - Experience and a solid understanding of product life cycles, NPI and operational requirements. - Comfortable to operate under ambiguity and changing priorities driven by business and operational realities. - Operating with owner's and founder's mentality. - Bachelor’s Degree in Computer Science, Electrical Engineering, or equivalent, Master’s Degree a plus. Requirements - Define and manage Manageability and Serviceability subsystem roadmap for WEKAPod appliances, powered by Neuralmesh. - Working with ecosystem partners including and not limited to vendors for various subsystems, e.g. CPU, GPU, Networking, NVMe, OS, Servers. - Work with WEKA engineering and GTM team to drive WEKApod product definition and delivery. - Drive definition and delivery of WEKA certified hardware systems with partners. - Manage roadmap, packaging and pricing for WEKApod and WEKA Qualified Systems portfolio. - Maintain keen insight into competitive landscape and engage with sales and system engineering to drive customer opportunities to success. Benefits - The Total Compensation hiring wage range for this position is $210,000-280,000. - Final compensation will be dependent on various factors relevant to the position and candidate. - Comprehensive benefits may include Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws. Company Description WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Role Description The Manager, Product Engineering & Maintenance is responsible for executing and enforcing the Tier 3 Engineering Support operating model. This role ensures Tier 3 work progresses predictably, escalates intentionally, and drives enterprise-level risk reduction through prevention, AI-assisted investigation, automation, and targeted application maintenance. As Tier 3 escalations decline, this role intentionally redeploys engineering capacity toward maintenance and remediation work that improves long-term system stability, security posture, and operational scalability. Tier 3 is managed separately from Tier 2, enabling focus on engineering-level problem solving, cross-portfolio system health, and sustained quality improvement. Key Responsibilities - Tier 3 Support Strategy & Execution: - Own and enforce the Tier 3 support model, including operating standards, escalation discipline, and SLA/SLO expectations. - Ensure Tier 3 issues progress predictably, do not silently age, and provide clear visibility into systemic risk. - Drive consistent Tier 3 execution across product portfolios. - Escalation Governance & Cross Functional Alignment: - Own Tier 3 escalation readiness and cross functional accountability. - Enforce clear reproduction standards, accurate issue classification, and defined ownership aligned to engineering priorities. - Apply judgment to block premature or low quality escalations that create downstream churn. - Product Partnership & Requirements Discipline: - Partner with Product to surface missed, unclear, or incomplete requirements discovered through Tier 3 investigations. - Ensure requirement gaps are documented, visible to Product leadership, and tracked outside defect queues. - Prevent misclassification of requirement gaps as defects. - Technical Quality, AI & Preventative Engineering: - Establish and enforce investigation, documentation, and troubleshooting standards for Tier 3. - Leverage AI assisted tools and automation to improve investigation efficiency, trend identification, and prevention. - Drive reduction of repeat failures, long tail technical risk, and production incidents across the organization. - Application Maintenance & Risk Based Remediation: - Execute approved application maintenance work when Tier 3 demand allows, including minor defects and security vulnerability updates. - Focus on work that improves system stability and reduces future support demand. - Exclude net new feature development or large, cross functional remediation efforts. - Team Leadership & Capacity Management: - Lead and develop the Tier 3 Engineering Support team with clear expectations, coaching, and performance accountability. - Manage capacity across investigation, escalation, prevention, maintenance, and automation work. - Protect Tier 3 capacity through policy enforcement and proper work routing. Qualifications - Comfort adopting and standardizing AI assisted tools or workflows to improve investigation quality and efficiency. - Clear, effective communicator with strong written documentation discipline and confidence engaging senior leaders. - Experience managing and coaching engineers or engineering support professionals in production-facing roles. - Strong track record of setting expectations, enforcing standards, and holding teams accountable. - Ability to manage workload, prioritize conflicting demands, and protect team capacity from unplanned or inappropriate work. - Solid technical foundation in modern software systems, APIs, and production diagnostics. - Ability to standardize processes, evaluate tool effectiveness, and measure outcomes. - Prevention first mindset, focused on reducing future issues rather than maximizing throughput. Requirements - 7+ years of experience in software engineering, engineering support, or related technical roles. - 2+ years of people management or technical leadership experience. - Experience supporting production systems in a SaaS or high availability environment. - Strong hands-on expertise in Jira, Confluence, SalesForce or equivalent case tracking software. - Knowledge of SQL databases, including the ability to write and understand basic SQL queries. - Experience using an IDE (VS Code or similar) to review code, trace logic or support debugging activities. Benefits - Great benefits package, including a full suite of health benefits, a generous 401(k) Plan, unlimited PTO, paid parental leave, a strong rewards and recognition program, and a focus on mental health and well-being. - An inclusive environment with Employee Resource Groups to join, volunteering days and the ability to donate to organizations of your choice through our recognition platform. - The opportunity to work for a growing, established technology company, but work side-by-side with a small, dynamic team of talented professionals. - Fast-paced environment with big goals and the opportunity to make a big impact.