Senior Staff Engineer - Conversational AI Platform NEW

The Briefed

Boston (MA)

On-site

USD 216,000 - 324,000

Full time

6 days ago
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Benefits offered by this job

Onsite Boston HQ coupling
Professional development stipend
Competitive health insurance
401(k) retirement plan

Job summary

Klaviyo is seeking a Senior Staff Engineer for the Customer Agent team to direct a 0-to-1 conversational AI platform that enables brands to deliver autonomous support at scale. This principal-level individual contributor role requires hands-on coding, architecture leadership, and mentorship across engineering teams.

In-office at Boston HQ, you will tackle non-deterministic challenges, safety guardrails, and scalable agent orchestration.

Qualifications

  • Architected, built, scaled, and operated production agentic systems end-to-end.
  • Solved operational challenges specific to running agents in production.
  • Built shared frameworks adopted across multiple teams.

Responsibilities

  • Set end-to-end technical direction for the Customer Agent platform.
  • Code, review architecture decisions and debug production incidents.
  • Architect orchestration engines, context stores, guardrails, evaluation frameworks.

Skills

Agentic AI systems
Production engineering
Non-deterministic systems
Prompt injection defense
Context management
Hands-on coding
Technical communication

Tools

Eval systems
AI observability
HITL workflows

Job description

At Klaviyo, we empower global brands and e-commerce creators to make first-party data actionable. Our Applied AI group builds production-grade, AI-native systems that handle real business judgment calls for tens of thousands of customer-facing brands.

As a Senior Staff Engineer on the Customer Agent team, you will set the technical and product direction for a 0-to-1 conversational AI agent platform that enables brands to deliver autonomous customer support at massive scale. This is a principal-caliber individual contributor role for a hands-on engineer who has personally architected, deployed, and scaled production agentic systems past the demo stage. Operating in an in-office environment in Boston, you will solve the platform's hardest non-deterministic engineering challenges - including agent orchestration, real-time evaluation frameworks, safety guardrails, context management, and self-healing mechanisms - while remaining actively hands-on in the codebase.

Key Responsibilities
  • Technical & Product Architecture: Set end-to-end technical direction for the Customer Agent platform, converting ambiguous problem spaces into production-ready architectural blueprints.
  • Hands-On Core Engineering: Solve complex non-deterministic system problems personally - writing clean code, conducting architectural design reviews, and debugging production incidents.
  • Agentic Infrastructure: Architect robust orchestration engines, context memory stores, LLM guardrails, failure-handling mechanisms, and automated evaluation frameworks.
  • Cross-Functional Alignment: Partner directly with Product Management, Design, Data Science, and Go-to-Market leaders to shape the strategic roadmap and product vision.
  • Force Multiplier & Mentorship: Build reusable frameworks and platform abstractions that other engineering teams adopt; mentor senior engineers through technical guidance and design reviews rather than direct line management.
  • Emerging AI Technology Evaluation: Continuously evaluate frontier LLM models, agentic frameworks, and AI tools, integrating high-value advancements directly into production.
Requirements
Deep Agentic & AI Systems Expertise
  • Demonstrated track record as a Principal or Senior Staff Engineer having architected, built, scaled, and operated a production agentic system end-to-end through launch, scale, and operational incidents.
  • Deep, hands-on experience solving operational challenges unique to running agents in production: non-deterministic failure handling, prompt injection defense, agent abuse mitigation, and context window optimization.
  • Proven experience setting product-level technical strategy and building shared frameworks/architectures that were adopted across multiple engineering teams.
  • Hands-On Coding & Execution: Active involvement in writing production code, reviewing architecture decisions, and debugging live production issues without delegating core technical challenges.
  • Outstanding technical communication skills-ability to convey complex AI trade-offs clearly to executive, product, and engineering audiences.
Work Logistics
  • Ability to work in-office at Klaviyo's headquarters in Boston, MA.
Preferred Qualifications
  • Experience operating a multi-tenant agent platform at production scale, where external clients configure custom agent behavior on shared infrastructure.
  • Track record in 0-to-1 product development or high-growth startup engineering environments.
  • Practical experience with production evaluation systems (evals), AI observability pipelines, and human-in-the-loop (HITL) workflows for LLM-powered products.
Total Rewards & Benefits
  • Compensation & Equity: Base salary of $216,000 - $324,000 USD + participation in annual cash bonus plan + competitive equity grants.
  • Comprehensive Healthcare: Robust medical, dental, and vision insurance options for employees and eligible dependents.
  • Financial Security & Retirement: 401(k) retirement savings plan, life insurance, and disability coverage.
  • Workplace Culture & Perks: Onsite collaboration at Boston HQ, professional development stipends, and dedicated AI productivity tool access.
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