Jobs at Laivly

Design, develop, and implement AI-driven automation tools for contact centers. Collaborate with developers and AI experts in an agile environment.

Owns end-to-end delivery of complex AI and voice-agent deployments, from discovery and solution design through configuration, testing, launch, optimization, and stable production. Leads client stakeholder alignment, deployment planning, cross-functional coordination, scope management, user acceptance testing, and post-launch performance analysis. Translates deployment learnings into scalable playbooks and product recommendations while working hands-on with LLMs, prompts, integrations, and technical tools.

Own enterprise and SME customer relationships across implementation, adoption, renewal, and expansion. Advise senior stakeholders on AI and automation, create account plans, lead discovery and business reviews, identify risks, drive issue resolution, and connect technical recommendations to measurable business outcomes. Collaborate with Technical Solutions, Product, Engineering, and Operations while representing customer needs internally. The role also includes mentoring junior CSMs and helping build the customer success function in a fast-moving startup.

Own end-to-end technical delivery for client AI solutions, from discovery and solution design through implementation, launch, optimization, and close. Lead technical discovery, translate business requirements into solution designs and implementation plans, manage roadmaps, scope, risks, dependencies, and stakeholder communication, and coordinate Sales, Customer Success, Product, Engineering, and Configuration teams. Support testing, validation, adoption, and post-launch optimization while using performance data and client feedback to confirm value and improve future implementations.

Design, operate, and improve secure, resilient, and cost-efficient AWS infrastructure. Lead IaC practices, migrations, reliability engineering (SLOs/SLIs, DR, resilience testing), observability with Datadog/AWS services, incident response and remediation, cloud security/governance, and FinOps. Provide technical leadership, mentorship, documentation, and partner with architecture, security, and engineering teams to scale and optimize cloud environments.