Genesys

Role Description The Genesys AI Architect is a senior presales AI specialist who operates across three core motions: - Driving strategic AI opportunities with customers and sales teams - Scaling the field through reusable assets, technical enablement, and coaching - Shaping product and go-to-market direction through real-world customer and field feedback This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value. Key Responsibilities: - Design end-to-end AI systems for customer experience use cases. - Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. - Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling. - Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. - Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. - Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. - Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements. - Establish AI evaluation frameworks and quality measurement strategies. - Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. - Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. - Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption. - Engineer contextual AI experiences that leverage real-time data and conversation state. - Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. - Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. - Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints. - Design for scalability, latency, and cost efficiency in enterprise environments. - Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. - Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. - Ensure designs meet enterprise expectations for reliability and responsiveness. - Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects. - Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments. - Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI. - Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation. - Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions. - Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content. - Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements. - Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization’s broader IT and transformation strategy. Qualifications - AI Architecture & Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. - Enterprise Integration & Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. - Evaluation, Governance & Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control. - Executive Communication & Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders. - Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture. - Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact. - Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning. - Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency. - Executive Presence: Proven ability to influence CIO/CTO decision-makers. - Strong understanding of the Genesys Cloud platform and Genesys AI preferred. Requirements - This is an active opening at Genesys. - We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team. - Compensation: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. - This role might also be eligible for a commission or performance-based bonus opportunities. - Compensation range: $141,600.00 - $185,900.00 Employee Referrals - If a Genesys employee referred you, please use the link they sent you to apply. Reasonable Accommodations - If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. - You can expect a response within 24–48 hours. Company Description Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com .

• Own the annual SOX compliance plan, including enterprise scoping, risk assessment, and management of the master testing calendar • Lead AWS scoping activities, including identification of in-scope accounts, services, integrations, and data flows impacting financial reporting • Evaluate and document AWS controls in alignment with the shared responsibility model and SOX requirements • Lead walkthroughs with process owners and technology teams to develop and maintain narratives, flowcharts, and risk control matrices • Execute and review testing of manual, automated, ITGC, and cloud-native controls, ensuring workpapers meet PCAOB standards • Assess design and operating effectiveness of AWS controls such as IAM, logging, monitoring, and configuration management • Partner with Cloud Engineering and Security teams to define and implement compliant control structures for AWS environments • Evaluate control deficiencies, perform root cause analysis, determine severity, and drive remediation efforts through closure • Develop and maintain dashboards and reporting to communicate SOX status, testing progress, and remediation trends to leadership and the Audit Committee • Administer the GRC platform, including workflows, evidence management, and continuous monitoring capabilities with AWS integrations • Coordinate with external auditors, align on testing strategies, and manage requests to ensure efficient audit execution • Advise control owners on control design, segregation of duties, and automation opportunities, including use of cloud-native capabilities • Maintain alignment of SOX controls with COSO, COBIT, and relevant cloud security frameworks • Lead SOX impact assessments for AWS implementations, cloud migrations, system changes, and M&A activities • Promote automation and continuous monitoring through integration with AWS services and analytics tools • Mentor junior team members and review deliverables to ensure consistency, quality, and scalability of the SOX program

Role Description As a Senior Operations Reliability Engineer specializing in Enterprise Platforms and Tools, you will own the operational reliability, health, and lifecycle management of enterprise productivity and collaboration platforms. This role combines hands-on platform administration with day-to-day operational ownership and governance of enterprise SaaS tools such as Jira, Confluence, Figma, Lucid, and other SaaS related platforms. In addition to serving as a senior escalation point, you will: - Improve monitoring accuracy - Reduce alert noise - Validate automation workflows - Contribute to AIOps tuning and observability standards - Help transition enterprise tool operations from reactive issues handling toward proactive, automation-driven reliability practices Responsibilities - General Reliability Operations - Monitor observability and AIOps platforms to detect anomalies, performance degradation, and emerging issues across enterprise systems. - Perform advanced incident triage and event correlation to identify root cause and reduce duplicate or misrouted incidents. - Lead or contribute to post-incident reviews, identifying systemic fixes and automation opportunities. - Validate automated remediation workflows prior to production adoption. - Identify recurring manual tasks and translate them into automation requirements or scripted improvements. - Improve alert signal quality by refining thresholds, suppression logic, and event correlation rules. - Ensure platform telemetry, SaaS health signals, and configuration data align with monitoring and CMDB standards. - Collaborate with Cloud, IAM, Network, Security, and ServiceNow teams to improve enterprise service reliability. - Enterprise Tools Ownership & Operational Management - Own day-to-day operational health and administration of enterprise SaaS platforms (e.g., Jira, Confluence, Figma, Lucid, monitoring tools, and similar productivity platforms). - Monitor vendor service health dashboards and integrate SaaS outage signals into internal observability and AIOps workflows. - Lead user-impact communications during enterprise tool outages or service degradations in partnership with IT Communications and ServiceNow teams. - Review vendor release notes and roadmap updates; assess feature changes, security updates, and deprecations. - Plan and coordinate controlled feature rollouts, configuration updates, and tenant-level optimizations. - Provide guidance and education to end users on new features, configuration changes, and best practices. - Manage licensing, usage monitoring, and cost optimization for enterprise tools. - Partner with Security and IAM teams to ensure access governance and compliance standards are maintained. - Improve monitoring coverage for enterprise tools by integrating telemetry and health signals into AIOps platforms. - Document operational standards, support models, and escalation paths for each owned platform. - Enterprise Platform Responsibilities - Diagnose and remediate integration issues between enterprise platforms and supporting systems. - Validate patching and upgrade activities to ensure minimal service disruption. - Participate in resilience validation exercises, including failover and recovery testing. - Provide mentorship and knowledge-sharing to junior reliability engineers. - Support operational reliability of Microsoft Power Platform components (Power Apps, Power Automate, Power BI), including: - Monitoring flow failures - Troubleshooting environment-level issues - Supporting connector configuration - Assisting with environment governance and data loss prevention policies - Automation & AIOps Contributions - Develop and maintain automation scripts (PowerShell, Python) to reduce repetitive operational effort. - Contribute to ServiceNow and Power Automate workflow improvements tied to enterprise tool incidents. - Partner with teams to refine automated remediation logic. - Improve enterprise tool signal quality by integrating vendor health data and usage telemetry into AIOps systems. - Support tuning of alert correlation and anomaly detection models for enterprise services. - Track improvements in MTTR, alert noise reduction, automation coverage, and platform uptime. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or related field; equivalent experience considered. - 5+ years of experience in enterprise platform operations, SaaS administration, or infrastructure support roles. - Hands-on experience administering enterprise tools such as Jira, Confluence, Figma, Lucid, or similar SaaS platforms. - Experience with SQL Server and IIS/Apache administration is an asset. - Experience managing SaaS service health, vendor communications, and feature rollouts. - Proficiency in PowerShell or equivalent scripting for automation tasks. - Solid understanding of monitoring, observability, and event management practices. - Familiarity with ITIL principles and ServiceNow workflows. - Strong troubleshooting and analytical skills. - Effective communication skills, including experience communicating user-facing outages or changes. - Motivation to deepen expertise in automation, AIOps, and reliability engineering. Preferred Qualifications - Experience integrating SaaS platforms with identity providers (Okta, Entra ID). - Familiarity with CI/CD pipelines or automation-driven configuration management. - Exposure to cloud platforms (AWS or Azure). Requirements - Participation in a shared, rotational on-call schedule is required. Company Description Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work.

• Drive end-to-end Order Management and billing operations with a focus on completeness, accuracy, compliance, scalability, and operational efficiency. • Establish operational objectives, staffing strategies, and execution plans for Americas Order Management functions in alignment with regional and global priorities. • Evaluate operational and financial risks and strengthen internal control frameworks aligned with SOX and company compliance standards. • Manage and monitor operational KPIs, service levels, and performance metrics to support accountability and continuous improvement. • Lead cross-functional transformation initiatives involving Sales, Finance, Revenue Operations, IT, Customer Success, and Receivables Management. • Drive process modernization through automation, AI-enabled capabilities, workflow optimization, and digital transformation initiatives. • Establish and enhance policies, procedures, and standardized operating practices • Analyze complex operational challenges where problems may not be clearly defined and determine appropriate solutions using business judgment, organizational precedent, and data-driven analysis. • Improve customer billing experience through timely resolution of disputes, proactive issue identification, and sustainable root-cause remediation. • Coach and develop team members while fostering collaboration, accountability, innovation, and employee engagement across geographically distributed teams.

Role Description We are seeking an experienced and highly influential Staff Cloud Platform Engineer to join our IT organization. This role sits one level above Senior and is designed for a seasoned technical leader who drives cloud platform strategy, defines standards, and leads complex, cross-team initiatives. As a Staff Engineer, you will architect, build, and evolve scalable, secure, and highly available AWS platforms that underpin the company’s corporate infrastructure. You will operate with a high degree of autonomy, influence technical direction across teams, mentor engineers, and partner closely with DevOps, security, and application teams to ensure reliable, efficient, and well-governed cloud environments. Key Responsibilities - Architect, design, and lead the implementation of scalable, highly available, and secure AWS cloud platforms. - Define, implement, and maintain infrastructure using Infrastructure as Code (IaC) methodologies, with a strong emphasis on Terraform. - Design, maintain, and evolve Terraform modules, standards, and best practices used across the organization. - Manage and scale multi-account AWS environments using AWS Account Factory for Terraform (AFT). - Design and operate event-driven and serverless architectures to support modern application and platform needs. - Build and maintain automation and internal tooling using Python, JavaScript, Bash/Shell, and IaC. - Define and champion Git best practices, including branching strategies, pull request workflows, code reviews, and version control standards (GitHub preferred). - Design, implement, and maintain CI/CD pipelines, ensuring fast, reliable, secure, and repeatable deployments. - Embed code quality, testing, compliance, and security controls into build and deployment workflows. - Evaluate, integrate, and operationalize managed AI and generative AI services within cloud platforms, ensuring security, scalability, and compliance. - Leverage AI-assisted tools to improve infrastructure automation, reliability, incident response, and developer productivity. - Define standards, patterns, and guardrails for the responsible use of AI services across cloud infrastructure and CI/CD pipelines. - Partner with security, legal, DevOps, and application teams to ensure safe, compliant, and cost-effective adoption of AI capabilities. - Lead incident response, conduct root cause analysis, and drive long-term reliability and resilience improvements. - Influence cloud architecture, standards, and policies across teams and business functions. - Provide technical leadership through mentorship, coaching, and architectural guidance to engineers across the organization. - Lead major and complex initiatives, delegating work as appropriate, and reviewing deliverables to ensure alignment with organizational standards. - Stay current with emerging cloud technologies and industry best practices, applying them pragmatically to improve platform capabilities. - Participate in an on-call rotation to support critical infrastructure. - Perform other duties as assigned. Qualifications - Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience). - Typically, 8+ years of related experience in cloud infrastructure, platform engineering, or DevOps roles. - Advanced, hands-on expertise with AWS, including compute, networking (VPCs), serverless technologies, and messaging services (e.g., SQS, SNS). - Deep experience with Infrastructure as Code, particularly Terraform; familiarity with AWS CloudFormation. - Strong programming and scripting skills in Python, JavaScript, and Bash/Shell. - Proven experience designing and maintaining CI/CD pipelines, preferably using GitHub Actions and AWS-native tooling. - Strong understanding of cloud security, networking, system design, and operational best practices. - Demonstrated ability to solve complex technical problems independently and lead initiatives with broad organizational impact. - Excellent communication skills, with the ability to influence and collaborate across teams and functions. Preferred Qualifications - Cloud certifications such as AWS Certified Solutions Architect (Professional) or equivalent. - Experience operating and supporting large-scale, multi-account AWS environments. - Experience defining platform standards used by multiple teams. - Familiarity with integrating managed AI or generative AI services in cloud environments. - Experience evaluating emerging technologies and applying them pragmatically to production platforms. - Prior experience mentoring engineers or acting as a technical lead on complex initiatives. Additional Information - Working Hours: 9:00 AM – 6:00 PM GMT (first shift), supporting global platform operations. - On-Call Support: Participation in a shared, rotational on-call schedule is required.

Role Description As a Business Development Representative, you will play a critical role in driving new business growth across strategic accounts in the New Logo East territory. This role is suited for an experienced BDR with a proven track record in outbound prospecting, account engagement, and pipeline creation within complex, enterprise environments. You will partner closely with Account Executives and cross-functional teams to execute targeted account-based strategies, engage senior stakeholders, and build a strong, qualified pipeline aligned with regional growth objectives. What You’ll Do - Drive strategic outbound prospecting across enterprise and mid-market accounts using multi-channel approaches (calls, email, LinkedIn, events, and campaigns) - Conduct in-depth account and market research, particularly within key industries, to identify high-value opportunities - Identify, engage, and build relationships with senior decision-makers and influencers - Partner closely with Account Executives to develop and execute account-based strategies and territory plans - Qualify inbound and marketing-generated leads, converting them into high-quality sales opportunities - Clearly articulate the value of Genesys Cloud and CX solutions, aligned to customer challenges and business outcomes - Leverage data, insights, and modern tools (e.g., AI, Sales Navigator) to optimize outreach and engagement strategies - Consistently generate qualified pipeline aligned with regional revenue targets - Maintain accurate pipeline management, activity tracking, and reporting in Salesforce - Meet and exceed KPIs related to pipeline creation, meetings, and conversion rates Qualifications - 1–3+ years of experience in a BDR, SDR, or Inside Sales role within SaaS, CX, cloud, or technology environments - Proven experience as an experienced BDR, with strong outbound prospecting and pipeline generation results - Strong understanding of the New Logo East territory - Demonstrated ability to engage mid- to senior-level stakeholders in complex organizations - Strong business acumen, curiosity, and strategic thinking - Excellent communication, organization, and time-management skills - Experience with Salesforce, LinkedIn Sales Navigator, and modern sales engagement tools Benefits - Medical, Dental, and Vision Insurance - Telehealth coverage - Flexible work schedules and work from home opportunities - Development and career growth opportunities - Open Time Off in addition to 10 paid holidays - 401(k) matching program - Adoption Assistance - Fertility treatments

Role Description Genesys Cloud is in growth mode. The Product Business Strategy & Operations team is the analytical and operational backbone of Genesys Product leadership, responsible for shaping growth strategy, driving its execution, and ensuring the insights that reach the C-suite are rigorous, reliable, and actionable. As Senior Manager, Business Strategy & Operations, you will sit at the intersection of analytics and strategy. This is a high-visibility, high-ownership role: you will be the person leadership trusts to pressure-test the numbers, surface the right questions, and translate complex business dynamics into clear recommendations. You will be exposed to all aspects of the Genesys Cloud business, from product adoption and retention to ecosystem positioning and growth planning, and will partner closely with cross-functional leaders across Product, Finance, Customer Success, and Sales. The analytical scope of this role is deliberately focused on the product management lens. What this role demands is not breadth of know-how, but judgment; the ability to interrogate data critically, recognize when something does not add up, and drive to a well-reasoned answer. If you thrive in environments where intellectual rigor and clear communication are the differentiators, this role is built for you. Key Responsibilities - Serve as a trusted analytical partner to Product leadership, translating business performance data into strategic insights and executive-ready recommendations. - Own the design, development, and ongoing stewardship of dashboards, scorecards, and KPI frameworks that track growth, retention, adoption, and business health. - Conduct various analyses to inform strategic decisions and identify value-creation levers. - Draft quarterly business reviews and board-level reporting; prepare concise, high-quality briefing materials and present findings to Director through C-suite stakeholders. - Drive cross-functional strategic initiatives from framing through execution, coordinating across teams to maintain alignment and accountability. - Continuously evaluate and raise the bar for analytical quality, consistency, and interpretive rigor across all team outputs. - Support strategic planning cycles, scenario analysis, and ecosystem assessments as needed. Qualifications - 5 to 8 years of experience in a rigorous analytical environment: management consulting, investment banking, product management, Big 4 advisory, or a high-performance in-house strategy or FP&A function. - Exceptional attention to detail with a natural instinct for catching inconsistencies and pressure-testing outputs before they reach stakeholders. - Strong critical thinking skills; able to consider the broader strategic implications of analysis, connect findings to business context, and ask the next right question. - Fluency with Excel including familiarity with statistics, optimization, customer retention, and cohort analysis frameworks, ideally in a recurring-revenue or SaaS context. - SQL proficiency strongly preferred; candidates without it must demonstrate a clear ability and willingness to become proficient quickly. - Outstanding written and verbal communication skills; able to convey nuanced analysis succinctly to both technical and non-technical audiences, including senior executives. - High degree of ownership and self-direction; comfortable operating with ambiguity and driving work forward independently. Preferred Qualifications - Experience with Tableau, Snowflake, and emerging AI tools (e.g., Cursor, Zenlytic). - Familiarity with Python or R for analytical work (a plus). - Prior exposure to cloud software, SaaS, or contact center / CCaaS markets. - Experience supporting or preparing materials for board-level or executive leadership audiences. Compensation This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. $129,300.00 - $227,300.00 Benefits - Medical, Dental, and Vision Insurance. - Telehealth coverage. - Flexible work schedules and work from home opportunities. - Development and career growth opportunities. - Open Time Off in addition to 10 paid holidays. - 401(k) matching program. - Adoption Assistance. - Fertility treatments.

Role Description The Innovations team at Genesys builds applications and agents on top of Genesys Cloud and ships them to enterprise customers through App Foundry. We're hiring a full-stack engineer who wants to build AI applications that solve real problems in customer experience. You'll work across the stack — React frontends, backend services, LLM integrations — and be expected to look at a messy customer problem, figure out what to build, and get it into production. The number one thing we hire for: drive. You don't wait for perfect requirements. You run the experiment, measure what happened, and iterate. Don’t have the resume experience? Show us what you’ve built and we’ll give you due consideration. - An industry-specific AI agent (healthcare, financial services, etc.) built on Genesys Cloud's virtual agent platform, handling the full lifecycle from intent detection through action execution with reliable human handoffs. - A compliance monitoring tool that evaluates live interactions against regulatory requirements and gives supervisors actionable options to coach or step into interactions. - Evaluation infrastructure for our agent products — golden-set testing, adversarial conversation generation, cost/latency/quality scoring. Key Responsibilities - Own features end-to-end: design, build, test, deploy, and iterate on AI agents and applications shipping to enterprise customers. - Build agentic systems that plan and act using tools and APIs, with attention to reliability, safety, and observability in production. - Work across the full stack: React/TypeScript, backend services (Java, Python, or Node), and LLM integration layers. - Partner with solution consultants, product, and customers to understand the actual problem before writing code. Qualifications - ~3 years of professional software engineering, or equivalent demonstrated by shipped products. - Full-stack fundamentals across frontend, backend, and APIs. - TypeScript/JavaScript plus Java, Python, or Node. - Hands-on experience building with LLMs — tool calling, structured outputs, retrieval/RAG, evaluation. Production preferred, serious side projects count. - Comfortable with agentic patterns: multi-step reasoning, autonomous tool use, structured planning, and the failure modes that come with giving an LLM real agency. - Working familiarity with AWS — you've deployed and operated services there. Experience with Lambda, ECS/Fargate, Bedrock, or similar is a plus. - High ownership: you self-start, you ship, you figure things out. - Fluent in English. Preferred Qualifications - Experience in customer service, contact center, or CX domains, especially AI oriented systems like Sierra, Decagon, or Kore.AI. - Agent orchestration frameworks (LangGraph, CrewAI, or similar) and multi-agent coordination patterns. - Deeper AWS: Bedrock, Step Functions, SQS/SNS, CDK/Terraform. - Distributed systems, event-driven architectures, observability. - Enterprise SaaS experience: multi-tenancy, metering, access control. Reasonable Accommodations If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Role Description Develop and deploy highly available, fault-tolerant software that will help drive improvements towards the features, reliability, performance, and efficiency of the Genesys Cloud platform. - Work with development partners to shape the architecture, design, and implementations of new and existing systems to enhance their reliability, performance, efficiency, and scalability. - Design and implement major changes and new features. - Identify bottlenecks and problems throughout the infrastructure. - Actively review code and provide peer feedback. - Provide coaching, guidance, and training to more junior development staff. - Explain difficult concepts and influence colleagues below and above their level. - Collaborate with engineering teams to identify and resolve pain points. - Manage major technical projects, involving delegation of work and review of products. - Troubleshoot production issues and come up with solutions as required. Qualifications - Bachelor’s degree in Computer Science or related field (or foreign equivalent) plus five (5) years of experience in a computer-related occupation OR a Master’s degree in Computer Science or related field (or foreign equivalent) plus three (3) years of experience in a computer-related occupation. - Experience with developing applications using Java and Kotlin. - Experience with REST-style web services and frameworks using Spring Boot. - Experience with developing, managing, working with CI/CD pipelines. - Experience with Linux. - Experience with networking concepts. - Experience with AWS Cloud technologies. Requirements - Telecommuting allowed for this position. - Employer will accept any suitable combination of education, training, or experience. Benefits - Medical, Dental, and Vision Insurance. - Telehealth coverage. - Flexible work schedules and work from home opportunities. - Development and career growth opportunities. - Open Time Off in addition to 10 paid holidays. - 401(k) matching program. - Adoption Assistance. - Fertility treatments. Company Description Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.

Role Description Genesys is seeking a highly motivated Corporate Counsel to join our dynamic Legal team. In this role, you will provide commercial legal support to our Sales and Channel organisations across EMEA, helping drive growth while mitigating risk. The ideal candidate will have a strong background in commercial technology transactions, particularly SaaS agreements, and a collaborative approach to supporting business objectives. This is an excellent opportunity to work in a fast-paced, high-growth technology environment and contribute directly to the success of a leading AI-powered customer and employee experience platform. Key Responsibilities - Draft, review, and negotiate a wide range of commercial agreements with a focus on: - Cloud services and SaaS agreements - Channel partner agreements - Software license and support agreements - Professional services agreements - Provide practical and commercial legal advice to internal stakeholders across EMEA, ensuring alignment with company processes and risk management. - Collaborate with Data Privacy, Security, and Product Counsel teams on contractual and regulatory matters, including AI product compliance. - Support RFP responses from a legal perspective. - Monitor legal and regulatory developments affecting cloud-based software solutions and share insights with the team. - Contribute to and maintain Genesys’ templates, playbooks, and guidance documents. Qualifications - Law degree from an accredited UK or EU law school. - Licensed to practice law in England & Wales or an EU jurisdiction, with experience negotiating contracts governed by English law. - 2–3 years PQE in TMT law at a reputable firm, or equivalent in-house experience, particularly with SaaS agreements. - Strong skills in contract drafting, negotiation, and stakeholder communication. - Substantive knowledge of intellectual property law as it applies to cloud services. - Ability to provide practical, business-oriented legal solutions with sound judgment. - Demonstrated capability to manage complex workloads, prioritize tasks, and work independently. - Comfortable operating in a fast-paced environment with high standards for integrity, execution, and collaboration. Requirements - Knowledge of competition law in a technology context. - Understanding of regulatory issues relating to AI in cloud services (including the EU AI Act). - Familiarity with financial services regulations for cloud outsourcing (DORA, EBA, PRA). - Experience negotiating SaaS agreements with financial institutions or public sector clients. - Working knowledge of the EU Data Act. - Experience negotiating agreements in the Nordics or Middle East. - Ability to communicate and negotiate in foreign languages, particularly Italian, French, Spanish, or German. Benefits - Great benefits and perks like larger tech companies. - Independence to make a larger impact on the company. - Ownership of your work. Company Description Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. Join the team and create the future of customer experience together.