
location_on1900, Curtis Street, Central Business District, Denver, Colorado, 80225, United States
At Klaviyo, we value the unique backgrounds, experiences, and perspectives each of us brings to the workplace every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond traditional job requirements. We empower creators to own their own destiny by making first-party data accessible and actionable like never before. Our goal is to nurture personalized experiences in ecommerce and beyond, and to reach this, we need a crew of remarkable creators who are ambitious, collaborative, and focused on delighting our customers.
If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
The GTM Data Strategy & Operations function was built from scratch with no predecessor. Today, it runs on a deliberately agentic AI–first operating model, utilizing a multi-agent pipeline (Cartographer, Sentinel, Resolver, Reporting) that handles detection, enrichment, hierarchy mapping, and conflict resolution at scale. These agents are live and processing enterprise account families in production today, not just a future-state vision.
However, the current model has a single point of failure: one person is simultaneously building the agentic infrastructure, operating it in production, and driving major strategic initiatives. This role is the first onshore execution hire for an agent operator who can keep the system running, improve it, and extend detection and resolution coverage as GTM leadership prioritizes new data elements.
This is a triage environment, not a steady-state one. The function is young, the data has known gaps, and the work is to stabilize and extend rather than simply maintain and optimize. You will be building the plane while flying it, sitting between AI systems and GTM data. Your mission is to operate, tune, and extend our agentic data quality pipeline so it runs reliably, improves continuously, and expands to cover more of the data landscape.
You won't be building agents from scratch, but you will run them, evaluate their output with GTM data judgment, and make them better. You will own the handoff between automated output and human review, managing quality and throughput with our offshore team. If ambiguity and mess energize you, this is the right fit. You will work alongside a small team that operates with high autonomy and a bias toward measurable outcomes.
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment, or any other characteristic protected by applicable law.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
Work model: On-site
1900, Curtis Street, Central Business District, Denver, Colorado, 80225, United States
Denver, Colorado
Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic. Python for QA scripting, sampling, or light automation. Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates). SOQL.
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