Full-Time

Senior Marketing Operations Manager

Go-to-Market Focus

Posted on 9/18/2025

Anomalo

Anomalo

51-200 employees

AI-powered enterprise data quality platform

Compensation Overview

$140k - $200k/yr

+ Equity

Remote in USA

Remote

Candidates must be based in the United States; attendance at quarterly company offsites is required.

Category
Growth & Marketing (1)
Requirements
  • 5–10 years of experience in Marketing Operations, Revenue Operations, or GTM Operations
  • Strong technical proficiency in HubSpot, Salesforce, ZoomInfo, Google Tag Manager, and LinkedIn Ads
  • Proven experience in building multi-touch attribution models and pipeline reporting
  • Ability to balance tactical execution with strategic GTM contributions
  • Strong analytical mindset with bias toward experimentation and optimization
  • Highly collaborative individual with comfort working across teams — from SDRs to Sales leadership — to align workflows and signals
  • Naturally curious about how AI/automation can make GTM teams more effective, and hands-on in testing new tools or processes
Responsibilities
  • Campaign & Funnel Operations: Own end-to-end campaign execution in HubSpot: emails, workflows, landing pages, forms, and QA
  • Campaign & Funnel Operations: Manage and optimize the account-based funnel, including scoring models, routing, and SLAs to ensure SDRs and AEs engage the right accounts at the right time.
  • Campaign & Funnel Operations: Partner closely with SDRs and Sales to operationalize intent signals and buying group insights within the ABX framework, driving coordinated multi-channel outreach.
  • Campaign & Funnel Operations: Partner with field marketing and SDR teams to develop and execute event lead workflows (pre- and post-event).
  • Campaign & Funnel Operations: Actively seek ways to streamline campaign build and execution through automation and AI tools
  • Systems & Data Management: Oversee integrations between HubSpot, Salesforce, ZoomInfo, and various ad platforms
  • Systems & Data Management: Ensure data hygiene through deduplication, enrichment, and opt-in compliance
  • Systems & Data Management: Ensure integrations across systems are seamless, accurate, and scalable
  • Systems & Data Management: Maintain accurate conversion tracking and campaign attribution across all systems
  • Systems & Data Management: Explore and implement AI-driven efficiencies (e.g., campaign QA automation, lead scoring enhancements, personalization at scale)
  • Insights, Attribution & Revenue Alignment: Develop dashboards and weekly reporting that provide actionable insights for Marketing, SDR, Sales, and Leadership
  • Insights, Attribution & Revenue Alignment: Translate raw data into business recommendations, helping the GTM team focus on the highest-impact activities
  • Insights, Attribution & Revenue Alignment: Operationalize the use of intent data and buying signals across SDRs, Sales, and BD — ensuring signals are actionable, timely, and measurable
  • Insights, Attribution & Revenue Alignment: Develop and refine multi-touch attribution models to measure Return on Investment (ROI) across all channels (digital, events, partners) and give visibility into what's really driving pipeline
  • Tactical Ownership: Manage website operations, including Content Management System (CMS) updates, landing page optimization, and conversion tracking
  • Tactical Ownership: Collaborate with the demand generation team on paid media execution across LinkedIn and Google Ads
  • Tactical Ownership: Monitor spend pacing, reporting, and ad-to-lead conversion rates.
  • Tactical Ownership: HubSpot (marketing automation, campaign execution, reporting) Outreach (sales engagement)
  • Tactical Ownership: Salesforce (in partnership with RevOps, not as a Salesforce admin)
  • GTM Strategy and Curiosity-Driven Innovation: Act as the connective tissue across GTM teams, making sure systems, workflows, and data are aligned
  • GTM Strategy and Curiosity-Driven Innovation: Proactively research and recommend new processes, tools, or AI-driven strategies that make our GTM motion more effective
  • GTM Strategy and Curiosity-Driven Innovation: Serve as the *in-house optimizer*: spotting bottlenecks, running experiments, and turning learnings into scalable processes
  • GTM Strategy and Curiosity-Driven Innovation: Partner with leadership to shape how Marketing Operations contributes to long-term growth
  • GTM Strategy and Curiosity-Driven Innovation: Process Documentation: Draft and refine step-by-step SOPs for campaign build, event workflows, enrichment, and reporting
Desired Qualifications

Anomalo provides an AI-powered data quality platform for enterprises that continuously monitors data in data warehouses and data lakes to detect quality issues, explain root causes, and resolve them. The platform supports structured, semi-structured, and unstructured data and emphasizes no-code workflows so data teams can use it without heavy coding or threshold setup. It analyzes data pipelines to identify anomalies, validates quality, and offers automated remediation within a centralized interface. Its goal is to help organizations trust their data for operations and decisions by ensuring governance and high data quality at scale.

Company Size

51-200

Company Stage

Series B

Total Funding

$82M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Snowflake and Databricks investments drive joint customer revenue growth.
  • Unstructured data monitoring cuts AI deployment time by 30% via AWS stack.
  • Fortune 500 customers doubled amid generative AI data quality demand.

What critics are saying

  • Snowflake bundles native DMFs, undercutting Anomalo's pricing in 12-24 months.
  • Databricks builds in-house tools post-investment, marginalizing Anomalo in 18-36 months.
  • Self-Driving Data lacks governance, exposing GDPR and HIPAA violations in 6-18 months.

What makes Anomalo unique

  • Self-Driving Data autonomously monitors and resolves data issues without human intervention.
  • AI-powered platform handles structured, semi-structured, and unstructured data seamlessly.
  • No-code setup eliminates rules, thresholds, and SQL for enterprise data teams.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

401(k) Company Match

Family Planning Benefits

Mental Health Support

Parental Leave

Home Office Stipend

Flexible Work Hours

Company Equity

Life Insurance

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

10%

2 year growth

5%
Yahoo Finance
Apr 2nd, 2026
Anomalo launches Self-Driving Data system to automate enterprise data monitoring and analysis

Anomalo, a data quality platform provider, has introduced Self-Driving Data, an autonomous system that monitors, analyses and explains data without human intervention. The Palo Alto-based company aims to replace manual data management with a continuously running, self-improving system. The platform uses AI and machine learning to profile organisational data and identify anomalies without predefined rules. Previously focused on automated data quality, Anomalo has expanded its capabilities to include agentic AI features that handle operational tasks traditionally performed manually by data teams. The system proactively monitors, investigates, documents and acts on data issues before they're identified by humans. Anomalo describes this as its most significant expansion since founding, representing a shift from reactive data management to autonomous data operations.

The Manila Times
Dec 9th, 2025
Anomalo Named a Strong Performer in 2025 Gartner(R) Peer Insights(TM)"Voice of the Customer" for Augmented Data Quality Solutions

Anomalo named a Strong Performer in 2025 Gartner(R) Peer Insights(TM)"Voice of the Customer" for Augmented Data Quality Solutions. December 10, 2025 Customers Rate Anomalo 4.7 Out of 5, Resulting in the Highest Willingness to Recommend Among Vendors Mentioned in This Document PALO ALTO, Calif., Dec. 09, 2025 (GLOBE NEWSWIRE) - Anomalo, the company reinventing enterprise data quality, today announced that it has been named a Strong Performer 2025 Gartner(R) Peer Insights(TM)"Voice of the Customer" for Augmented Data Quality Solutions1. Anomalo received an overall rating of 4.7 out of 5 based on enterprise customer reviews and a 95% willingness to recommend, one of the highest across all evaluated vendors 2. Seventy-one percent of reviews were 5-star and more than half of reviewers were from companies with more than $10 billion in annual revenue, which Anomalo believes highlights the platform's ability to deliver measurable value in complex, large-scale data environments. This recognition follows Anomalo's debut earlier this year in the Gartner Magic Quadrant for Augmented Data Quality Solutions 3. "Enterprises want trustworthy data without the heavy lift," said Elliot Shmukler, co-founder and CEO of Anomalo. "Our customers tell us Anomalo gives them exactly that-automated detection, fast diagnosis and the confidence that their analytics and AI are running on high quality data. Seeing that reflected in this year's 'Voice of the Customer' reinforces our belief that ease of use and automation are transforming data quality." Anomalo's data quality platform uses AI to automatically detect unexpected changes, anomalies and quality issues in both structured and unstructured data, allowing organizations to catch problems early, diagnose root causes quickly and keep downstream analytics and AI workloads operating on trustworthy data. In October, Anomalo unveiled AIDA - Anomalo Intelligent Data Analyst - a first-of-its-kind AI Data Analyst developed in collaboration with Google Cloud, Databricks and Snowflake. AIDA is an agentic interface built directly on top of Anomalo's data quality platform. With AIDA, every data user from analyst to executive can explore their data, visualize trends and insights and create new data quality checks all with a natural language interface. AIDA uniquely understands your data because it knows which tables, metrics and rules are important, learning directly from how your data is monitored. Every interaction with AIDA makes it smarter and your data healthier by refining data definitions and adding new data quality checks - all through natural language. Anomalo maintains broad ecosystem support across the modern data stack, with strategic investments from both Databricks and Snowflake and partnerships with cloud and catalog vendors including AWS, Google, Microsoft and Atlan. To read what enterprises have to say about Anomalo, simply visit: https://www.gartner.com/reviews/market/augmented-data-quality-solutions/vendor/anomalo/product/anomalo/reviews. About Anomalo Anomalo is reinventing enterprise data quality with an AI-powered data quality platform. Anomalo uses machine learning to replace traditional rules-based systems and automatically detect and alert teams about data quality issues across both structured and unstructured data. With seamless integrations across the entire data stack, Anomalo ensures customers can confidently operate with data and AI before data quality impacts downstream business decisions, customer-facing applications and machine learning models. Anomalo is backed by Databricks Ventures, Snowflake Ventures, SignalFire, Smith Point Capital, Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, Village Global and First Round Capital. For more information, visit https://www.anomalo.com/. Gartner Disclaimer: Gartner and Peer Insights(TM) are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. 1 Gartner, Gartner Peer Insights Voice of the Customer for Augmented Data Quality Solutions, Peer Contributors, November 26, 2025. Voice of the Customer for Augmented Data Quality Solutions, 26 November 2025 By Peer Community Contributor 2 as of August 2025 out of 21 reviews 3 Gartner, Magic Quadrant for Augmented Data Quality Solutions, March 2025

MtoM Mag
May 28th, 2025
Snowflake Ventures Invests in Anomalo

Snowflake Ventures has invested in Anomalo to enhance data quality monitoring. This collaboration aims to improve anomaly detection capabilities using AI and machine learning within Snowflake's platform, supporting better data governance amid the rise of generative AI.

Anomalo
Mar 13th, 2025
Announcing Snowflake Ventures’ Strategic Investment in Anomalo: Reinventing Enterprise Data Quality for the AI Data Cloud

Learn more by browsing our library of announcements, guides, and technical deep dives on data quality.

CRN
Mar 13th, 2025
Snowflake Invests in Anomalo's Growth

Snowflake has made a strategic investment of undisclosed value in Anomalo, a data quality platform developer. This investment extends Anomalo's Series B funding, which now totals $82 million. The partnership aims to enhance integration with Snowflake's AI features and drive customer adoption. Anomalo's revenue from joint customers with Snowflake is significant, and the company plans to use the funds for growth and product development, including its Unstructured Monitoring product.

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