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  5. Lead GTM Data Operations Analyst, AI Workflows
Klaviyo logo

Lead GTM Data Operations Analyst, AI Workflows

Not Disclosed•Full-TimeOn-site

location_on1900, Curtis Street, Central Business District, Denver, Colorado, 80225, United States

Apply Now

About Klaviyo

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.

Why This Role, Why Now

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.

The Day-to-Day

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.

Hiring Process & Application

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.

Equal Opportunity & Culture

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.

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Frequently asked questions about Lead GTM Data Operations Analyst, AI Workflows at Klaviyo

What does a Lead GTM Data Operations Analyst, AI Workflows at Klaviyo do?expand_more
Day-to-day, the Lead GTM Data Operations Analyst, AI Workflows at Klaviyo will maintain pipeline orchestration scripts and extend agent coverage for new data elements; refine detection rules, prompt logic, and confidence thresholds based on output analysis; manage the handoff between automated detection output and offshore triage queues; and monitor offshore resolution quality and refine detection rules based on triage patterns.
What are the requirements for this Lead GTM Data Operations Analyst, AI Workflows role?expand_more
To qualify for the Lead GTM Data Operations Analyst, AI Workflows at Klaviyo position, applicants should have: 3–6 years in Data Ops, Sales Ops, or GTM Ops; Proficiency with Snowflake (SQL); Proficiency with SFDC; Experience with Claude Code or comparable LLM-based tooling; Experience designing and running AI-assisted enrichment workflows; and Comfort operating in a command-line environment (tmux, shell scripts, log analysis).
Where is the Lead GTM Data Operations Analyst, AI Workflows role at Klaviyo located?expand_more
Lead GTM Data Operations Analyst, AI Workflows at Klaviyo is based in 1900, Curtis Street, Central Business District, Denver, Colorado, 80225, United States. This is a on-site role.
Is this Lead GTM Data Operations Analyst, AI Workflows job remote, hybrid, or on-site?expand_more
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Work location

Work model: On-site

location_on

1900, Curtis Street, Central Business District, Denver, Colorado, 80225, United States

Denver, Colorado

Key Responsibilities

  • check_circleMaintain pipeline orchestration scripts and extend agent coverage for new data elements
  • check_circleRefine detection rules, prompt logic, and confidence thresholds based on output analysis
  • check_circleManage the handoff between automated detection output and offshore triage queues
  • check_circleMonitor offshore resolution quality and refine detection rules based on triage patterns
  • check_circleDesign and run AI-assisted enrichment workflows with evidence links and confidence thresholds
  • check_circleMaintain data dictionaries, SOPs, and runbooks as agents and processes evolve
  • check_circleExecute pipeline runs in command-line environments and interpret logs to confirm data integrity
  • check_circleRun and monitor production pipeline sessions to diagnose and resolve failures without escalation
  • check_circleEvaluate agent accuracy by segment and recommend evidence-backed workflow changes
  • check_circleMonitor data fill-rates, accuracy, freshness, and cost-per-record by source and segment
  • check_circlePartner with Reporting teams to define metrics and dashboard acceptance criteria
  • check_circleCollaborate with GTM Systems on field configuration, permissions, and automation flows

Requirements

  • verified3–6 years in Data Ops, Sales Ops, or GTM Ops
  • verifiedProficiency with Snowflake (SQL)
  • verifiedProficiency with SFDC
  • verifiedExperience with Claude Code or comparable LLM-based tooling
  • verifiedExperience designing and running AI-assisted enrichment workflows
  • verifiedComfort operating in a command-line environment (tmux, shell scripts, log analysis)

Nice to Have

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.

Benefits & Perks

check_circleParticipation in the company's annual cash bonus plancheck_circleVariable compensation (OTE) for sales and customer success rolescheck_circleEquity compensationcheck_circleSign-on paymentscheck_circleComprehensive range of health, welfare, and wellbeing benefits based on eligibility
Klaviyo logo
Company

Klaviyo

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

3-6 yrs (Mid Level)

Job Type

Full-Time

Skills Required

SnowflakeSQLSFDCClaude CodeClayTmuxShell ScriptsPythonSoqlPrompt Engineering
Not Disclosedarrow_forward
Klaviyo has listed this Lead GTM Data Operations Analyst, AI Workflows role as on-site.
How much experience is required for this Lead GTM Data Operations Analyst, AI Workflows role?expand_more
Lead GTM Data Operations Analyst, AI Workflows at Klaviyo typically requires 3–6 years of relevant experience at the mid level level.
What skills do you need for the Lead GTM Data Operations Analyst, AI Workflows role at Klaviyo?expand_more
Key skills for Lead GTM Data Operations Analyst, AI Workflows at Klaviyo include Snowflake; SQL; SFDC; Claude Code; Clay; Tmux; Shell Scripts; and Python.
What category does the Lead GTM Data Operations Analyst, AI Workflows role belong to?expand_more
Lead GTM Data Operations Analyst, AI Workflows at Klaviyo is part of the it job category on Recrutus.
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About usFAQContactPrivacy policyUS privacy noticeAccessibility

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

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