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7AI
Verified live 15h ago

AI Product Manager

Brief overview

Boston, MAIn-person
UndergradOr in progress
5+ yrsMinimum
9 H-1B approvalsDept. of Labor
10 green cardsCertified filings
AI coding tools (e.g., Cursor, Copilot)LLMsGenAIRAG pipelinesAgentic workflowsProduct prototypingAI-first developmentThreat intelligence analysisCloud platformsAPIsSecurity infrastructureAnalytics and telemetryData visualization

About the company

7AI provides an AI-driven cybersecurity platform that utilizes AI agents to manage the full lifecycle of security operations.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
9H-1B approved
90%approval rate
2new H-1B hires
10PERM certified
$155,078median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20235
20242
20252
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20233
20241
20251
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20237
20241
20252
Top sponsored roles
Software Solutions ArchitectSoftware Application EngineerStaff Software EngineerSenior Conversation Designer
Sponsored employees from
IndiaGuatemalaPhilippinesSwedenNepal

Job description

7AI is seeking an AI-Native Product Builder to design and launch intelligent security products that help organizations proactively defend against evolving cyber threats. This role blends product thinking with hands-on engineering, enabling you to move from idea to production quickly using AI-first workflows.

You’ll work at the intersection of cybersecurity, AI, and product innovation—building systems that detect, analyze, and respond to threats in real time. From early concept validation to production deployment, you’ll own the full lifecycle of new capabilities, collaborating closely with engineering, research, and go-to-market teams.

The ideal candidate is deeply technical, AI-native in how they build, and energized by solving complex security problems in a fast-moving, high-ownership environment.

What You’ll Do

  • Rapidly prototype and ship new security features using AI coding tools (e.g., Cursor, Copilot) and modern development workflows to explore product ideas and technical feasibility.

  • Leverage internal data, threat intelligence, and market signals to identify high-impact opportunities and validate product direction.

  • Build and scale features across cloud platforms, APIs, and security infrastructure using GenAI to accelerate development while maintaining high standards for reliability and security.

  • Own product definition end-to-end—translating ambiguous problems into clear requirements and shipped solutions.

  • Balance trade-offs across security effectiveness, performance, usability, and operational complexity.

  • Partner cross-functionally with engineering, security researchers, and business stakeholders to deliver impactful outcomes.

  • Identify opportunities to automate workflows across teams using agentic AI systems and internal tooling.

  • Contribute to the evolution of next-generation AI-driven cybersecurity capabilities, including detection, response, and analysis systems.

What We’re Looking For

  • Bachelor’s degree or higher in a technical field (or equivalent experience).

  • 5+ years of experience in software engineering, product development, or a hybrid role, including building AI-powered applications.

  • Strong hands-on experience with LLMs and AI coding tools for prototyping, analysis, and product development.

  • Experience building systems that incorporate GenAI (e.g., LLM integrations, RAG pipelines, agentic workflows, evaluation frameworks).

  • Proven ability to take products from concept to launch with a strong focus on user impact.

Nice to Have

  • Experience building security or infrastructure products (e.g., detection systems, monitoring tools, or distributed services).

  • A portfolio of projects demonstrating AI-native development and rapid prototyping.

  • Experience instrumenting products with analytics and telemetry to drive decision-making.

  • Familiarity with cloud infrastructure (e.g., AWS) and data visualization tools.

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