Define and execute the product roadmap for AI-driven on-chain monitoring tools to detect blockchain threats. Collaborate with engineering, research, and stakeholders, analyze market and customer feedback, prioritize features, ensure timely delivery, and maintain transparent communication across teams.
Join a dynamic security firm at the forefront of innovation, leveraging machine learning to detect on-chain threats in real-time. As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.
Responsibilities:
- Develop and manage the product roadmap for AI monitoring tools targeting blockchain security.
- Collaborate with cross-functional teams to align product strategies with business objectives.
- Analyze market trends and customer feedback to continuously enhance product offerings.
- Ensure timely delivery of product features and improvements.
- Communicate effectively with stakeholders to maintain transparency and align expectations.
Required Skills:
- Proven experience as a Product Manager in cybersecurity or AI domains.
- 3 years of Cybersecurity, preferrably blockchain or related technology coverage, Forensic research experience.
- Strong understanding of blockchain technology and data.
- Excellent analytical and problem-solving skills.
- Ability to manage multiple projects and meet deadlines.
- Exceptional communication and interpersonal skills.
Similar Jobs
Artificial Intelligence • Cloud • Software • Big Data Analytics
Lead global commercial and operational initiatives to accelerate Private AI adoption. Establish governance and operating rhythms, run monthly business reviews, prioritize accounts and use cases, define strategic metrics, align ecosystem and commercial strategies, and build business cases and growth models to guide executive decision-making.
Top Skills:
Apache IcebergClariNvidia BlueprintsPower BISalesforceSQLTableauVast
Artificial Intelligence • Enterprise Web • Information Technology • Productivity • Sales • Software • Database
Own full-cycle recruiting for mid- and senior-level G&A, Sales, and Marketing roles. Develop sourcing strategies, conduct structured interviews, lead calibrated debriefs, manage candidate pipelines, and advise hiring managers. Track funnel metrics, maintain Greenhouse data, influence stakeholders, coordinate offers with Finance, HR, and Compensation, and improve recruiting workflows through AI and automation.
Top Skills:
AIAutomationGemGreenhouse
Machine Learning • Payments • Security • Software • Financial Services
Lead the design and development of ETL solutions for regulatory risk compliance at PNC, requiring advanced programming skills and collaboration on data-intensive applications.
Top Skills:
AlteryxCa7 Job SchedulerDevops ToolsInformatica Powercenter 9.6Microsoft Power BiOracle SqlPl/SqlTableauTeradataUnix Shell Scripting
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

.jpg)

