ML Technical Product Manager

November 2

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Wallarm. API & App Security Integrated

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API security • Cybersecurity • Threat Prevention • OWASP • API Abuse

51 - 200 employees

Founded 2014

🔌 API

🔐 Security

☁️ SaaS

💰 $8M Series A on 2018-10

Description

• We are a global remote-first team of 100+ people on 4 continents and in 10+ countries. • We have been protecting our clients since 2014. • The company has raised over $10M in investments. • More than 200 customers around the world, including Fortune 500, Nasdaq, and high-growth startups choose Wallarm to protect their API and web applications. • Our product: Wallarm API security solutions provide proven performance to support innovative companies serving millions of users and billions of API requests per month. • Hundreds of Security and DevOps teams globally use Wallarm daily to: • Discover . See every asset across your entire attack surface—from cloud environments to every API endpoint with auto-discovery capabilities. • Protect . A single suite that goes beyond OWASP Top 10 for full coverage for API specific threats, account takeover, malicious bots, L7 DDoS, and more. • Respond . Streamline incident response with complete visibility, smart triggers, and active threat verification. • Test . Automate security testing of your APIs and web assets. Prioritize remediation for every asset, in every environment. • As an ML Technical Product Manager, you will be responsible for guiding the development of our API Abuse Prevention product from an applied AI and machine learning perspective.

Requirements

• Experience in shaping AI-driven solutions, identifying market opportunities, and defining product direction to solve customer security challenges • Familiarity with MLOps practices, model monitoring tools, and deployment workflows to ensure continuous model improvement and alignment with real-world abuse patterns • Proficient at using data-driven insights to identify model improvements and proactively address emerging threats • Experience collaborating with developers to design and execute software requirements tailored for security solutions • Ability to communicate AI and security concepts to both technical and non-technical stakeholders, explaining complex topics at both a conceptual and technical level • Proficient in English. • Background in AI for security or fraud analysis, with expertise in detecting abuse patterns through machine learning (Nice to have) • Practical experience with model drift detection, retraining strategies, and real-time data streaming for abuse detection (Nice to have) • Strong knowledge of API security protocols (e.g., JWT, GraphQL, WebSockets) and security standards (CWE, OWASP Top 10, OWASP API Top 10) (Nice to have) • Experience with API security audits and vulnerability assessments (Nice to have) • Bug bounty participation or practical vulnerability assessment experience (e.g., HackerOne profile) (Nice to have) • Certifications that reflect applied knowledge in AI/ML and security, such as AWS Certified Machine Learning Specialty or relevant coursework (Nice to have) • Demonstrated expertise through published work or presentations at security and AI conferences (Nice to have)

Benefits

• Ability to work on a product that makes the Internet safer • Completely remote work and flexible working hours • Competitive salary and bonuses • Paid days off • Medical insurance • Working equipment • Professional development and career growth