[Remote] Customer Success Operations Manager at Dataminr

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

5+ years of experience in Customer Success Operations, Revenue Operations, or Business Operations (SaaS & AI experience strongly preferred)
Strong understanding of CS metrics, data analysis, and proficiency with tools like Salesforce, Catalyst, Looker, Snowflake, and Excel/Sheets
Track record of cross-functional collaboration with CS, Sales, RevOps, Product, and Finance
Ability to manage complex tasks with multiple stakeholders independently
Self-motivated with a passion for identifying opportunities and solving problems
Strong attention to detail, highly organized, and analytical
Experience with AI innovation, Regenerative AI, and Agentic AI capabilities
Familiarity with Salesforce, Catalyst, Looker, Snowflake, and other SaaS tools
Experience with data analysis and reporting
Strong communication and collaboration skills

Responsibilities

Day-to-day operational support to the CS team, ensuring efficient use of systems, processes, and playbooks
Own the design, implementation, and upkeep of dashboards and reports to support CS team visibility, leadership alignment, and strategic readouts for QBRs/EBRs
Ensure data accuracy across systems
Conduct customer base analyses to surface trends, retention risks, and upsell opportunities
Implement processes, workflows, and email campaigns to support strategic initiatives and drive revenue retention
Manage key CS projects, acting as the operational lead on cross-functional initiatives
Collaborate with CS, Sales, RevOps, Product, and Finance teams to drive customer outcomes and improve internal efficiency
Develop and maintain dashboards and reports to support CS team visibility and strategic readouts
Identify and address operational challenges with data, systems, and process improvements
Provide technical support and guidance to CS team members on using tools and systems

Skills

Dataminr

Real-time AI for risk detection and alerts

About Dataminr

Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.

New York City, New YorkHeadquarters

2009Year Founded

$1,023.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Risks

Complex maritime environments may challenge Dataminr's integration with Windward's platform.

New CEO Brian Gumbel may introduce strategic shifts disrupting current operations.

ReGenAI's launch may face scrutiny over data privacy and ethical concerns.

Differentiation

Dataminr uses deep learning and multi-modal AI fusion for accurate event detection.

The platform provides real-time alerts from diverse sources, including social media and the dark web.

Dataminr's ReGenAI regenerates textual descriptions in real-time, enhancing AI innovation.

Upsides

Partnership with Windward enhances maritime industry response to complex global events.

Growing cybersecurity importance boosts Dataminr's relevance through Stratascale partnership.

Murali Nemani's appointment as CMO is expected to accelerate market expansion.

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