Senior Product Manager at Datafold

İstanbul, İstanbul, Türkiye

Datafold Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Analytics, Customer EngagementIndustries

Requirements

  • Bachelor’s degree in a technical field or equivalent experience building/shipping software products
  • 5 years of hands-on product ownership experience
  • Experience creating examples through user flows and wireframes, working with cross-functional teams
  • Strong problem-solving ability and prioritization approach to evaluate product trade-offs and risks
  • Structured thinking to express your big ideas succinctly to key stakeholders
  • Knowledge of the analytics market and data infrastructure is preferred
  • Ability to apply AI in product development and strategy
  • Fluency in English
  • Excellent communication and analytical skills

Responsibilities

  • Understand product strategy and goals to maximize value and efficiency of product deliveries
  • Study product usage, qualitative and quantitative analysis, and industry research data to inform strategies and product proposals
  • Gather customer context and write product briefs to frame user needs for engineering, design, customer success, and marketing teams
  • Align engineering and design teams on the correct problems with clear, written communication
  • Prioritize and execute on an ambitious and impactful product roadmap
  • Elicit business needs collaboratively with the customer and product team
  • Manage all product requirements from definition and modelling to development, testing and launch

Skills

Product Roadmapping
Wireframes
User Flows
Quantitative Analysis
Qualitative Analysis
Agile
Product Requirements
Customer Research

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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