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Bigid Technical Product ManagerNew 
Israel, Tel Aviv District, Tel Aviv-Yafo 
47940667

03.04.2025

We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:

  • BigID Named Hot Company in Artificial Intelligence and Machine Learning at the 2024 Global InfoSec Awards
  • Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
  • CRN 100 list named BIgID as one of the 20 Coolest Identity Access Management And Data Protection Companies Of 2024 (2 years running)
  • DUNS 100 Best Tech Companies to Work For in 2024
  • Top 3 Big Data and AI Vendors to Watch' in the 2023 BigDATAwire Readers and Editors Choice Awards
  • 2024 Inc. 5000 list for the 4th consecutive year!
  • Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

What you'll do:

  • Define and execute the roadmap for the data platform, ensuring alignment with business objectives and stakeholder needs.
  • Drive the development and optimization of data ingestion pipelines, integrating data from multiple sources.
  • Oversee efficient data storage solutions, ensuring scalability, cost-effectiveness, and high performance.
  • Work with engineering teams to develop and improve data processing workflows to support analytics, machine learning, and business intelligence use cases.
  • Ensure data accessibility by designing and optimizing data export and consumption layers for internal teams and end users.
  • Collaborate with data engineers, architects, and analytics teams to define data requirements for the different teams.
  • Identify and prioritize technical and business trade-offs to balance innovation, speed, and reliability.
  • Develop and track key success metrics to measure the impact of the data platform.
  • Stay up-to-date with the latest industry trends and best practices in data infrastructure and analytics technologies.

What you'll bring:

  • Strong technical background in data engineering, cloud computing, or distributed systems.
  • Experience working with modern data technologies such as Spark, Kafka, Snowflake, BigQuery, or similar.
  • Knowledge of ETL/ELT processes, data modeling, and data pipeline orchestration.
  • Excellent analytical and problem-solving skills with a keen eye for detail.
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts into business impact.
  • Experience with Agile methodologies and a data-driven approach to decision-making.

Advantages:

  • 4+ years of experience in engineering, preferably in data infrastructure, big data, or cloud-based data platforms.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience in managing data platforms in a cloud environment (AWS, GCP, Azure).
  • Understanding of data security, privacy regulations (GDPR, CCPA), and governance frameworks.
  • Hands-on experience with SQL, Python, or other programming languages relevant to data infrastructure.

Our people are the foundation of our success, and we place a high priority on offering a wide range of benefits that make our team happier and healthier.

  • Equity participation - everyone shares in our success
  • Flexible work arrangements - for parents, for remote work days, etc.
  • Mentoring, Knowledge training & Career development tracks
  • Office perks: dog-friendly environment, fully-stocked fridge, gym and exercise classes, weekly Happy Hours, free parking, evening meals

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

  • - Wecareabout our customers and each other
  • Do- Wedowhat it takes to make a positive impact
  • Try- Wetryour best and we don’t give up
  • Shine- Weshine