Customer Success Architect at Dataminr

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

3-5 years as a technical customer success manager/account manager, technical implementation specialist, solutions architect, sales engineer or related role
Deep understanding of cybersecurity principles and proficiency in designing solutions for this domain
Strong understanding of API security, versioning, documentation, and lifecycle management
Proven ability to take responsibility for projects of increasing complexity, driving technical vision and execution from conception to deployment
Comfortable and effective in presenting to diverse audiences, from technical staff to C-suite executives
Proven ability to work cross-functionally and leverage diverse teams to achieve project goals

Responsibilities

Own all aspects of solution design for new and existing customers, ensuring technical implementation success and scaling best practices across the organization
Serve as the team's resource with deep technical expertise to support customer success managers with more complex customers, including assisting with integration strategies, data models, APIs, and complex use cases (e.g., cyber, two-way communications, risk management)
Work with customer success managers to build strong relationships with customer technical stakeholders and lead technical discovery sessions to understand a customer's goals, workflows, and systems (SIEMs, TIPs, dashboards), ensuring alignment between the customer's needs and technical design
Work with customer success managers to ensure customers fully adopt and get value from key features and capabilities, including delivering workshops, deep-dive best practice sessions, and architectural reviews
Act as the "voice of the customer" by bringing valuable customer feedback to the Product and Engineering teams, influencing the product roadmap, and escalating bugs
Develop and maintain best practices, playbooks, and documentation for solution design

Skills

Solution Design

APIs

Integration

SIEM

TIPs

Data Models

Cyber

Risk Management

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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