Top Tech Jobs & Startup Jobs

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Leads and develops a North American specialist overlay sales team focused on AI-powered customer experience and orchestration solutions. Establishes operating models with Account Executives, drives AI sales motions, supports strategic enterprise opportunities, coaches consultative selling, and partners with sales leadership and cross-functional teams to improve go-to-market execution, messaging, enablement, and revenue growth.

Leads strategic relationships with enterprise customers to drive adoption, retention, expansion, and measurable value from Genesys solutions. Owns customer success plans, executive business reviews, risk mitigation, advocacy, and lifecycle execution while partnering with Sales, Services, Renewals, and Onboarding. Translates technical capabilities into business outcomes and influences account strategies through data-driven insights.

The Customer Success Manager, Director at Genesys leads enterprise customer relationships, drives business outcomes, and champions customer success initiatives while collaborating cross-functionally to achieve key growth and retention objectives.

Leads sales strategy and customer engagement for Genesys AI and Experience Orchestration solutions. Partners with account executives to create pipeline, progress opportunities, forecast, develop territory strategies, and execute sales enablement programs. Presents to senior executives, leads customer workshops, shapes AI use cases and proof-of-concept opportunities, develops proposals and pricing, and coordinates cross-functional teams. Serves as an AI subject matter expert and influences deal strategy across complex enterprise opportunities.

Leads AI and experience orchestration sales initiatives by advising executives, supporting account teams, shaping deal strategy, creating territory plans, and driving pipeline growth. Conducts customer workshops, develops AI use cases and proof-of-concept opportunities, supports proposals and pricing, and coordinates cross-functional execution across marketing, product, customer success, and professional services. Acts as an AI subject matter expert and enables broader sales teams.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

Build and maintain Python backend microservices supporting CI/CD pipelines and cloud infrastructure. Develop APIs and automation components, monitor distributed systems, troubleshoot reliability issues, and improve deployment and testing processes. Use AI-assisted coding tools and agentic workflows for development, testing, review, and debugging while validating output for correctness and security. Collaborate with cross-functional teams, participate in code reviews, and grow under senior engineering mentorship.

Leads enterprise and strategic business development across the US and Canada. Owns pipeline-generation strategy, forecasting, conversion improvement, operating processes, and cross-functional alignment with Sales, Marketing, and Revenue Operations. Manages and develops regional BDR teams, establishes enablement and performance frameworks, builds career pathways, and strengthens high-performance culture. Uses CRM, analytics, sales engagement, and AI-enabled prospecting tools to improve productivity, pipeline quality, and enterprise revenue growth.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.