about 9 hours ago
Boston, MA, USASenior / Staff+
H1B Sponsor
Base Salary
$216k - $324k/yr
Responsibilities
- Lead the architecture, design, and implementation of Customer Agent’s core platform and AI capabilities.
- Drive technical strategy and long-term system evolution for conversational AI experiences serving millions of users.
- Build and ship complex AI-powered product features, balancing speed, quality, reliability, and customer impact.
- Partner closely with Product, Design, Data Science, GTM, and Engineering leaders to define product direction and execution plans.
- Make critical technical decisions around agent architectures, orchestration frameworks, retrieval systems, memory, tool use, evaluation, and reliability.
- Establish engineering best practices around observability, testing, monitoring, experimentation, and operational excellence for AI systems.
- Lead large, cross-functional initiatives spanning multiple teams and organizations.
- Mentor engineers through technical leadership, design reviews, architecture discussions, and hands-on collaboration.
- Evaluate emerging AI technologies and frameworks, identifying opportunities to create meaningful customer value.
- Influence engineering standards and contribute to the broader technical direction of Klaviyo’s AI platform.
Requirements
- 12+ years of software engineering experience building and operating production systems at scale.
- Significant experience designing and shipping customer-facing AI-powered products or agentic systems.
- Strong backend engineering and distributed systems fundamentals.
- Demonstrated expertise with modern AI architectures, including LLM-powered applications.
- Proven ability to lead complex, multi-quarter technical initiatives involving multiple teams and stakeholders.
- Strong product instincts and the ability to connect technical decisions to customer and business outcomes.
- Excellent communication and collaboration skills across engineering, product, design, and executive audiences.
- Hands-on builder who enjoys working directly in code and tackling difficult technical problems.
- Track record of influencing engineering organizations through technical leadership, mentorship, and execution excellence.