Full-Time

Customer Success Operations Manager

Posted on 9/6/2025

Ataccama

Ataccama

201-500 employees

Unified data management platform with AI

No salary listed

Boston, MA, USA

Hybrid

Hybrid working setup.

Category
Sales & Account Management
Required Skills
Tableau
Salesforce
Looker
Data Analysis
Requirements
  • 5+ years of experience in Revenue Operations, Sales Operations, Customer Success, or a related role in a SaaS or technology environment.
  • Strong communication and collaboration skills, with the ability to work effectively across teams.
  • Experience with pipeline forecasting in Customer Success or Sales, especially in a recurring revenue business.
  • Excellent problem-solving, strategic thinking, and analytical skills, with strong business acumen.
  • Proven ability to build relationships, communicate, influence, and collaborate across teams at all levels.
  • Thrives in fast-paced environments with fluid priorities.
  • Experience with Customer Success tools (e.g., Gainsight, Salesforce) and dashboarding tools (e.g., Tableau, Looker).
  • Familiarity with contract management and SaaS legal terms is a plus.
Responsibilities
  • Partner with Revenue Operations, Customer Success, Professional Services, and Finance to establish segmentation, capacity and coverage models, GTM playbooks, and compensation strategies.
  • Guide business review processes and cadence for Customer Success.
  • Assist CS leadership in retention and expansion efforts through process enhancement and engagement model development.
  • Scrutinize renewal data to uncover trends, risks, and areas for improvement.
  • Create and maintain dashboards and reports to monitor renewals, performance metrics, and gain business insights.
  • Improve renewals, retention, and expansion forecasting for stakeholders across Customer Success, Professional Services, Finance, and Revenue Operations.
  • Pinpoint opportunities to automate and streamline renewal processes, incorporating industry best practices.
  • Devise strategies to minimize renewal risks and optimize customer retention.
Desired Qualifications
  • Familiarity with contract management and SaaS legal terms is a plus.

Ataccama provides a unified data management platform that uses AI and smart automation to transform raw data into reusable data products for teams. The platform handles data classification, data quality, and data governance across any data source, and works in both cloud and on-premise environments. It is designed to be easy to deploy for large enterprises, helping business and technical users manage big data efficiently. Unlike tools that focus on a single aspect of data, Ataccama combines multiple data-management functions into one platform and emphasizes turning data into shareable assets that teams can reuse. Its goal is to help enterprises quickly improve data quality and governance while delivering fast return on investment through its platform and related services (implementation and support).

Company Size

201-500

Company Stage

Growth Equity (Venture Capital)

Total Funding

$152M

Headquarters

Toronto, Canada

Founded

2007

Simplify Jobs

Simplify's Take

What believers are saying

  • ServiceNow integration embeds quality signals in workflows, announced May 5, 2026.
  • Snowflake Ventures investment deepens AI Data Cloud integration for trusted data delivery.
  • Closed 30+ $1M deals in 2025 with 75% new customers adopting generative AI capabilities.

What critics are saying

  • Snowflake replicates Ataccama features natively in Cortex AI within 12-18 months.
  • Informatica and Talend commoditize agentic AI, eroding margins in 12-18 months.
  • Open-source tools like OpenLineage displace commercial platform by 24-36 months.

What makes Ataccama unique

  • Ataccama ONE unifies data quality, governance, observability, and lineage in single AI-powered platform.
  • ONE AI Agent automates data stewardship, delivering AI-ready data 83% faster across environments.
  • Leader in 2026 Gartner Magic Quadrant for Augmented Data Quality for fourth consecutive year.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

401(k) Company Match

Life Insurance

Long-term Disability Insurance

Employee Assistance Program

Long-Term Incentive Program

Paid Sick Leave

Paid Vacation

Unlimited Paid Time Off

Global Family Support Program

Flexible Work Hours

Conference Attendance Budget

Online courses

Mental Health Support

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

2%
The Associated Press
Feb 26th, 2026
Ataccama launches agentic data observability to unify pipeline monitoring with data quality and governance

Ataccama has launched Agentic Data Observability within its Ataccama ONE platform, extending its data quality capabilities into pipeline monitoring and incident workflows. The release unifies observability with automated data quality and governance, addressing gaps left by standalone data observability tools. The platform monitors pipelines across orchestrators including dbt, Airflow, Dagster, Azure DataFactory and AWS Glue to detect failures during transformation. It provides unified alerting with business context, lineage-driven impact analysis connecting technical failures to business assets, and resolution tracking with Jira integration. Powered by the ONE AI Agent, the system links issues to business impact, ownership and remediation workflows in a single interface. This enables enterprises to identify problems early and restore data trust before flawed information reaches reporting, risk models or AI systems. The launch aims to support regulated enterprises maintaining data integrity across complex data estates.

Yahoo Finance
Feb 3rd, 2026
Ataccama closes 30+ $1M+ deals as data trust becomes AI infrastructure

Ataccama, a data trust company, reported record customer growth in Q4 2025, closing the year with a 30% compound annual growth rate over three years. The company signed over 30 deals worth $1 million or more in 2025, with 75% of new Q4 customers adopting its generative AI capabilities in production workflows. The growth reflects enterprises' shift towards treating data integrity as infrastructure for AI systems. In November, Ataccama launched its Agentic ONE platform, which helps organisations write data quality rules, detect issues and remediate problems across distributed environments. Partner-sourced pipeline grew 40% in 2025, whilst average annual recurring revenue per customer rose 16%. CEO Mike McKee said the results show enterprises moving from centralised data teams towards agile, federated approaches as AI adoption accelerates.

Ataccama
Jan 28th, 2026
The Forrester Wave(TM): Data Quality Solutions, Q1 2026

The Forrester Wave(TM): Data Quality Solutions, Q1 2026. January 28, 2026 1 min. read Ataccama recognized as a Leader in Forrester's Data Quality Wave. Ataccama has been named a Leader in The Forrester Wave(TM): Data Quality Solutions (2026), validating, for Ataccama Corporation, its long-standing leadership in data quality and its role in helping enterprises prepare for the next era of AI-driven decision-making. Ataccama Corporation believe the launch of Forrester's Data Quality Wave reflects a fundamental market shift: as organizations adopt AI and agentic systems that operate autonomously, trusted, high-quality data has become mission-critical. Data quality is no longer a supporting capability - it is the foundation of AI readiness, risk management, and scalable automation. "Ataccama is ideal for enterprises that want to accelerate their AI readiness and are seeking a cloud-first, AI-driven data quality platform with strong automation and observability." Jayesh Chaurasia, Senior Analyst, Forrester Research Access the report to learn what criteria Forrester evaluates of recognized vendors in the data quality market, and why Ataccama was identified as a Leader. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. Date 28.01.2026 Please choose your communication preferences:

SiliconANGLE Media
Dec 9th, 2025
Snowflake Ventures invests in Ataccama to boost AI data trust and governance

Ataccama Corp., an agentic data trust company, has secured a strategic investment of undisclosed size from Snowflake Ventures. The funding will deepen Ataccama's integration with Snowflake's AI Data Cloud platform and enhance trusted data delivery for enterprise AI projects. Ataccama offers the Ataccama One platform, which unifies data management with governance to ensure high-quality data for business initiatives. The platform combines data discovery, quality, cataloguing, observability, lineage and master data management capabilities into a single system that automates preparation and governance tasks across cloud, on-premises and hybrid environments. The investment aims to boost agentic reliability by improving data trustworthiness and explainability for enterprises deploying artificial intelligence solutions.

Dolphin Publications
Dec 9th, 2025
Snowflake Ventures invests in Ataccama to boost data trust for AI applications

Snowflake Ventures has taken a strategic stake in Ataccama, a company focused on improving data trust within organisations. The investment builds on an existing partnership and aims to help deliver reliable, compliant data for AI applications. Ataccama specialises in "agentic data trust" and will deepen its technical integration with Snowflake, simplifying quality control processes. The company is enhancing trust signals in Snowflake Cortex AI workflows and expanding capabilities of Snowflake Horizon Catalogue, including data health monitoring. Ataccama also focuses on data quality within Snowflake's medallion architecture, which organises data across Bronze (raw), Silver (enriched) and Gold (production-ready) layers. The deal comes as organisations increasingly require robust data governance for AI applications. Financial terms of the investment were not disclosed.

INACTIVE