Senior AI Product Manager

22 Hours ago • 5 Years + • Artificial Intelligence

About the job

SummaryBy Outscal

Must have:
  • 5+ years Product Management experience (B2B enterprise software)
  • Proficient in building ML/GenAI products
  • Experience with big data and cloud technologies
  • Collaboration with Data Scientists and ML Engineers
  • Excellent communication skills (Hebrew & English)
Good to have:
  • Software development background
  • Cybersecurity industry experience
  • Bachelor's degree in CS, engineering, or related field
Perks:
  • Equity participation
  • Flexible work arrangements
  • Mentoring & career development
  • Dog-friendly office
  • Fully-stocked fridge
  • Gym & exercise classes
  • Weekly Happy Hours
  • Free parking
  • Evening meals
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Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

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

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

We are looking for a Senior Product Manager to lead BigID’s AI Data Security and CoPilot initiatives. In this pivotal role, you’ll lead the development and market launch of cutting-edge AI security and advanced CoPilot products that are central to our growth strategy. 

You’ll play a pivotal role in shaping the future of AI security by addressing critical challenges, from identifying and protecting sensitive data used by LLMs to ensuring robust governance and effective remediation of AI risks.

What you'll do:

  • Lead the development of BigID’s AI Security and Governance solutions, empowering customers to adopt AI technologies with speed, safety, and responsibility, driving innovation while safeguarding their most critical assets.
  • Work closely with cross-functional teams, including engineering, sales, and marketing, to deliver products that address real-world security challenges, positioning BigID as a leader in AI security and governance.
  • Engage directly with customers to understand their evolving needs and translate these insights into product innovations that enhance their AI security posture.
  • Align product development with BigID’s long-term growth strategy, ensuring our AI data security suite remains at the forefront of the industry.

What you'll bring:

  • Passionate about the intersection of AI and cybersecurity, with a deep understanding of the opportunities in this space.
  • 5+ years of experience in Product Management roles, particularly in launching and scaling B2B enterprise software solutions.
  • Proficient in building ML and GenAI-based products, with experience in big data and cloud-based technologies.
  • Experience collaborating with Data Scientists and ML Engineers to drive product development and innovation.
  • You’re driven by a desire to solve complex problems for customers, with a focus on delivering exceptional value.
  • You excel at working across teams, bringing together diverse perspectives to create products that lead the market.
  • You’re business-minded and are able to incorporate user and business needs into the decision-making process.
  • You have excellent presentation, written, and verbal communication skills in both Hebrew and English.

Advantages:

  • Background in or meaningful experience in software development 
  • Bachelor's degree in CS, engineering, or related experience
  • Experience in the cybersecurity industry

What’s in it for you?!

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.

  • Care - We care about our customers and each other
  • Do - We do what it takes to make a positive impact
  • Try- We try our best and we don’t give up

#LI-Hybrid

#LI-AT1

BigDiversity: We’re committed to creating a culture of inclusion, diversity, and equality – across race, gender, sexuality, disability, and neurodiversity – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

CPRA Employee Privacy Notice: CA 

BigID is an E-Verify Participant.

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About The Company

BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control.


Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources

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