Top Tech Jobs & Startup Jobs

As a Senior Software Engineer, you'll design and build scalable systems for customer data management, ensuring seamless user experiences and mentoring team members.

Lead architecture and implementation of Klaviyo's Customer Agent platform: design scalable agentic/LLM systems, drive technical strategy, ship AI-powered features, ensure reliability and observability, mentor engineers, and partner cross-functionally to deliver conversational AI at scale.

Lead architecture and implementation of Klaviyo's Customer Agent platform. Drive technical strategy for conversational AI at scale, ship AI-powered features, ensure reliability and observability, mentor engineers, and collaborate cross-functionally to evaluate emerging AI technologies and influence platform direction.

Own and deliver Salesforce solutions (Apex, LWC, Flow) and integrations across the GTM stack. Build and maintain the partner portal and payments integrations, ensure secure data flows and platform health, triage high-impact issues, apply engineering best practices, use AI tools to accelerate development, and mentor junior developers.

Design and build AI-powered prototypes and end-to-end LLM workflows using Claude, ChatGPT, and other platforms. Partner with Services leaders to prioritize opportunities, translate needs into roadmaps, integrate AI with internal systems, and help productionize solutions. Create documentation, run enablement sessions, and drive adoption across Global Services while collaborating with centralized AI engineering.

Design and prototype AI-powered solutions (LLMs, agents, prompts) to solve creative and operational problems, integrate AI with internal data and APIs, enable teams through documentation and training, and partner with engineering to productionize scalable workflows across Services.

Design, prototype, and productize AI-powered workflows and tools for Customer Success using LLMs. Partner with stakeholders to prioritize opportunities, integrate AI with internal systems and APIs, and enable teams through documentation, workshops, and best practices. Facilitate scaling prototypes to production with centralized AI engineering support.

Design and prototype AI-powered solutions for Customer Success using LLMs and automation. Translate business needs into roadmaps, build prompts/agents/ retrieval workflows, integrate APIs and internal data, enable teams with documentation and training, and partner with engineering to productionize scalable AI systems.

Partner with Customer Success leaders to identify and prioritize AI opportunities; prototype and productize LLM-powered solutions and end-to-end workflows; integrate AI with APIs and internal data sources; develop prompts, skills, agents, and retrieval systems; enable teams via documentation, workshops, and training; and collaborate with engineering to scale prototypes into production.

Design, build, and scale an AI-native conversational platform powering autonomous customer agents. Own full-stack systems, retrieval and orchestration, observability, and multi-channel experiences. Lead technical decisions, mentor engineers, and deliver reliable, tested, customer-facing features that enable brands to launch and improve configurable AI agents.