Lead, Customer Success at Datafold

İstanbul, İstanbul, Türkiye

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Analytics, Finance, Airlines, RetailIndustries

Requirements

6 to 10 years' of experience in a Technical and/or Business Support function (B2B) dealing with data analysis
Proven experience in leading and inspiring customer-facing teams
Strong data analytics interpretation skills combined with a consultancy mindset to translate insights into customer growth strategies
Strong knowledge of technology, digital and innovation
Knowledge of analytics market, data infrastructure, and Mobile Apps development environments, frameworks, and tools
Familiarity with digital & performance marketing, web & app analytics is preferred
Experience working with, and managing stakeholders, and high-value enterprise customers
Excellent listening, negotiation, and presentation skills
Team player with good interpersonal skills
Passion for supporting client’s growth through digital insights and engagement strategies
Desire to work in a dynamic and fast-moving startup environment

Responsibilities

Develop a deep understanding of our analytics and engagement platform and execute strategic plans that maximize customer growth in global and local markets
Lead and mentor the Customer Success team, ensuring best-in-class service delivery, technical excellence, and continuous development of team members
Build and maintain strong, long-term relationships with clients through proactive support, value-driven communication, and a consultative approach
Work closely with customers to co-create successful use cases that demonstrate business value and support growth
Act as a technical integrator and analytical advisor focused on digital analytics and user engagement strategies
Ensure Dataroid SDK and API integrations are implemented in the most efficient and scalable way for each customer
Collaborate with product development teams to prioritize and shape the product backlog
Take end-to-end ownership of customers and serve as a single point of contact on customer priorities and troubleshooting and ensure customer issues are resolved
Collaborate with the engineering and product team to set up or configure our software platform as per customers’ requirements
Collaborate with account and business development teams to support market expansions and revenue growth

Skills

Customer Success

Team Leadership

Digital Analytics

Data Science

Omnichannel Marketing

SDK Integration

API Integration

Customer Engagement

Strategic Planning

Technical Advisory

Analytics Platform

Datafold

Unified data quality platform for testing

About Datafold

Datafold provides a platform that focuses on maintaining high data quality through proactive and automated testing. The platform works by integrating into the development cycle, allowing data teams to test their data at various stages, such as during code deployments and migrations, to catch potential issues before they affect the data warehouse. This approach is different from traditional data observability tools, which mainly identify problems after they occur. Datafold aims to help data teams across different industries ensure the integrity and reliability of their data, ultimately speeding up their development processes. The company operates on a subscription-based model, generating revenue through recurring payments from its clients.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$21.7MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

11-50Employees

Benefits

Remote Work Options

Risks

Increased competition from companies like Monte Carlo focusing on data observability.

Complex data pipelines lead to more frequent data quality incidents.

Open-source tools may cannibalize subscription-based revenue model.

Differentiation

Datafold integrates deeply into the development cycle, preventing bad code deployments.

It offers automated testing during deployment, migrations, and ongoing monitoring stages.

Datafold's platform supports instant table comparison and profiling for data QA.

Upsides

Growing demand for automated data quality solutions as data complexity increases.

Partnerships with companies like dbt Labs enhance data testing capabilities.

Investment interest highlighted by Datafold's $20M Series A funding.

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