7AI Logo

7AI

AI Product Manager

Reposted 4 Days Ago
Be an Early Applicant
Hybrid
Boston, MA, USA
5-5 Annually
Senior level
Hybrid
Boston, MA, USA
5-5 Annually
Senior level
Design and launch intelligent security products using AI tools; own product lifecycle from conception to deployment, collaborating cross-functionally. Rapid prototyping and leveraging data to identify opportunities and validate directions are core responsibilities.
The summary above was generated by AI

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.

HQ

7AI Boston, Massachusetts, USA Office

10 Saint James Ave, Boston, Massachusetts, United States, 02116 3813

Similar Jobs

3 Days Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
136K-204K Annually
Senior level
136K-204K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.
Top Skills: Analytics AgentBiComposerCore ReportingData VisualizationLarge Language Models (Llms)Multi-Agent OrchestrationQuery Execution EngineQuery InfrastructureRetrievalSemantic Layer
4 Days Ago
Hybrid
Boston, MA, USA
113K-194K Annually
Entry level
113K-194K Annually
Entry level
Insurance
Leads enterprise AI strategy and execution by identifying opportunities, building business cases, defining product vision and roadmaps, and guiding AI product development. Partners with business, data science, and technology teams to deliver customer-driven solutions, translate stakeholder needs, prioritize initiatives, and support innovation. The role also mentors team members, applies design thinking and UX practices, and evaluates build, buy, and partnership options.
Top Skills: Agentic AiArtificial IntelligenceData ScienceGenerative Ai
4 Days Ago
In-Office or Remote
USA
110K-187K Annually
Senior level
110K-187K Annually
Senior level
Fintech • Insurance
Own the enterprise Data and AI Platform as a product, including strategy, roadmap, investment priorities, adoption, onboarding, consumer engagement, lifecycle management, governance, and value realization. Prioritize capabilities against enterprise demand, establish scalable self-service experiences, coordinate with engineering and business stakeholders, and track adoption, reuse, onboarding, coverage, and platform value metrics.
Top Skills: Ai PlatformsAnalytics PlatformsCloud PlatformsData PlatformsPlatform Engineering

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account