GenesysManager, Software Engineering - Enterprise Platforms
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. Join the team and create the future of customer experience together.
ROLE OVERVIEW
The Manager, Software Engineering – Enterprise Platforms leads a team responsible for building and scaling shared platform capabilities across Genesys, including the Infrastructure, AI, and Enterprise Data platforms. This role focuses on delivering reusable, production-ready platform services that enable teams to build, deploy, and scale AI-powered and data-driven applications efficiently.
You will drive product vision, engineering execution, platform standardization, and operational excellence while partnering with cross-functional teams to reduce bespoke infrastructure and accelerate delivery through governed, self-service platform capabilities.
WHAT YOU’LL DO
Platform Engineering & Delivery
Lead the design and delivery of reusable platform services and components that enable application teams to build and scale AI, data, and cloud infrastructure powered solutions
Establish and enforce engineering standards, reference architectures, and paved paths to reduce one-off infrastructure and improve production readiness
Oversee platform reliability, scalability, and performance by implementing observability, testing, and automation practices
AI & Data Platform Enablement
Enable teams to consume shared AI and data platform capabilities by integrating governance, security, and access patterns into platform services
Partner with teams to deliver AI-driven solutions by integrating AI capabilities, enabling knowledge retrieval, and building APIs and data pipelines that support scalable, standards-aligned platform capabilities
Accelerate the transition from proof-of-concepts to production-ready services by standardizing deployment patterns and infrastructure tooling
Team Leadership & Cross-Functional Execution
Lead and develop a team of engineers, setting clear priorities, delivery expectations, and career growth opportunities
Collaborate with product, data, security, and infrastructure teams to align platform capabilities with business and technical needs
Drive adoption of shared platform services by engaging with domain teams, gathering feedback, and continuously improving developer experience
WHAT YOU BRING
Required Qualifications
Experience leading software engineering teams delivering platform or infrastructure services in a cloud environment
Applicants must have current and ongoing authorization to work in the United States without the need for employer-sponsored visa support now or in the future.
Strong background in distributed systems, APIs, and cloud-native architectures (e.g., AWS or similar)
Experience building or supporting AI/ML or data platform capabilities in production environments
Proven ability to establish engineering standards, improve developer productivity, and scale platform adoption
Experience driving reliability practices such as observability, testing automation, and incident management
Preferred Qualifications
Experience with AI platform tooling, LLM integrations, or retrieval-based systems
Familiarity with data platforms such as Snowflake, Databricks, or similar ecosystems
Experience in SaaS environments supporting internal developer platforms or platform engineering initiatives
KEY SKILLS
Platform Engineering & Architecture
AI & Data Platform Integration
Cloud-Native Development (AWS)
Developer Experience & Enablement
Engineering Leadership
BUSINESS IMPACT
Accelerates delivery of AI and data-driven applications through reusable, standardized platform capabilities
Reduces engineering overhead and infrastructure duplication by enabling shared services and paved paths
Improves reliability, security, and scalability of enterprise platforms supporting critical business systems
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.
$141,400.00 - $248,600.00
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
Click here to view a summary overview of our Benefits.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
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.
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.
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.