← Back to results

AI Product Manager

Join 7AI as an AI Product Manager to design and launch intelligent security products against evolving cyber threats.

Location
Boston, MA
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 5 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at 7AI → Save job Scanned from 7ai.com

AI in the day-to-day

Rapidly prototype new security features using AI coding tools (e.g., Cursor, Copilot) and modern development workflows.

Requirements

Experience
5+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

In the role of AI Product Manager at 7AI, the individual is responsible for designing and launching innovative security products that leverage AI to combat cyber threats. This position requires a strong technical background, particularly in AI coding tools and large language models, to rapidly prototype and validate product ideas. Ideal candidates have over five years of experience in product development, especially in AI-driven applications, and are comfortable navigating complex security challenges. The role emphasizes collaboration across teams to deliver impactful cybersecurity solutions.

Joblaze insights

Quick facts

How much experience is required?
At least 5 years of relevant experience for this AI Product Manager role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI coding tools, AI/ML, AWS, GenAI, LLMs, RAG pipelines.
What seniority level is this role?
7AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this AI Product Manager role at 7AI.

From the original posting

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 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.

  • 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 product development, or a hybrid role, including building AI-powered applications.

  • Strong hands-on experience with LLMs and AI coding tools for prototyping and analysis

  • 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 rapid prototyping.

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

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