Infosec Ventures

You will pioneer a new way of building:

Your process will be:

- AI-Powered Ideation & Prototyping: Use platforms like Lovable.dev to rapidly translate ideas into functional MVPs, and then iteratively build out Version 1, Version 2, and Version 3 with unprecedented speed.

- AI-Assisted Strategy: Create comprehensive Business Requirement Documents (BRDs), user stories, and product specifications with the help of AI, ensuring data-driven clarity and precision from the start.

- AI-Driven Insights: Utilize AI tools to analyze user behavior, drive product metrics, and uncover predictive insights that guide the product roadmap.

You will embody our "white coat" culture, where every decision is backed by data and every feature is meticulously planned, all while working in a "Cursor first" environment where your engineering counterparts match your velocity.

Key Responsibilities:

- AI-First Product Lifecycle Management: Own the end-to-end product lifecyclefrom ideation, MVP, and versioning (v1, v2, v3) to end-of-lifeusing AI tools to accelerate each stage.

- Rapid Prototyping: Utilize AI-powered platforms like Lovable.dev to create and test product ideas and functional prototypes, gathering user feedback at lightning speed.

- Intelligent Documentation: Develop and maintain detailed BRDs, feature specifications, and user stories by leveraging AI to synthesize research and data into clear requirements.

- Metrics and Growth: Define, monitor, and drive key product metrics. Use AI tools for data analysis and to identify opportunities for growth and improvement.

- User Engagement & Onboarding: Implement and optimize strategies using modern product engagement and onboarding tools to ensure users achieve value quickly and remain active.

- Changelog & Communication: Maintain a meticulous public-facing changelog and clearly communicate product updates and the "why" behind them to all stakeholders.

- Agile Leadership: Lead a cross-functional squad, manage the product backlog, and ensure the engineering team is aligned and empowered to build lovable features.

Qualifications and Ideal Candidate Profile

Experience & Skills:

- Proven experience as a Product Manager, with a strong portfolio of shipped SaaS products.

- Hands-on experience with AI-powered ideation, design, or prototyping tools (e.g., Lovable.dev, Galileo AI, or similar) is a must.

- Demonstrable experience creating product documentation (BRDs, specs) with the assistance of AI tools.

- Expertise with modern product analytics and user engagement tools (e.g., Mixpanel, Amplitude, Pendo, Appcues).

- Strong analytical skills with a proven ability to use data to drive product decisions.

- Deep understanding of agile development methodologies and experience leading a development team.

- Exceptional communication skills, with the ability to articulate a clear and compelling product vision.

Mindset & Cultural Fit:

- AI-Native Thinker: You don't just use AI tools; you see them as a fundamental part of your strategic workflow. You are always exploring new ways to leverage AI.

- Deep Customer Empathy: You are obsessed with understanding user problems and are driven to create solutions that delight them.

- Builder Mentality: You are proactive, hands-on, and thrive on turning ideas into reality quickly.

- Highly Adaptable: You excel in a dynamic, fast-paced environment where learning and rapid iteration are the norm.

- Scientifically Minded: You have a high bar for quality and prefer to make decisions based on data and evidence.

- Visionary & Pragmatist: You can dream big about the future of the product while pragmatically delivering value to users today