Technical Product Manager

The successful candidate

The ideal candidate is not just a "product person" but someone who can dive deep into technical discussions, understand architectural trade-offs, and has a solid background in software development, AI, security, and mobile platforms.

Key Responsibilities

• Product Strategy & Vision:

  Define and communicate the product vision, strategy, and roadmap for the product area, ensuring alignment with company-wide goals across web and mobile experiences.

• Technical Specification Authoring:

  Write clear, concise, and comprehensive technical specifications that detail system architecture, data models, APIs, and integration points for both backend services and client-side applications.

• Requirements Management:

  Break down complex initiatives into detailed Software Requirements Documents (SRDs) and Epics, ensuring all functional and non-functional requirements are captured for web and mobile platforms.

• User Story Creation:

  Author detailed user stories with clear acceptance criteria, ensuring the development and QA teams have an unambiguous understanding of what needs to be built.

• Backlog Grooming & Prioritization:

  Manage and prioritize the product backlog, balancing new feature development with technical debt and platform improvements.

• Stakeholder Alignment:

  Collaborate closely with Engineering (Web, Mobile, Backend), Design, Security, Marketing, and Sales to gather input, communicate plans, and ensure successful product launches.

• Data-Driven Decision Making:

  Define and track key product metrics. Use quantitative data and qualitative feedback to inform product decisions and iterate on features.

• AI & Security Advocacy:

  Champion the integration of AI/ML capabilities where they provide user value and ensure that security is a first-class citizen in all product decisions.

Technology Requirements & Must-Have Experience

The ideal candidate

• Backend & APIs:

  Minimum 5-6 years of experience with

  Python (Django/Flask)

  and

  Node.js

  .

  The successful candidate

  must be proficient in designing and consuming

  RESTful and GraphQL APIs

  .

• Frontend & Mobile:

  Strong familiarity with modern frontend frameworks, specifically

  React

  and its ecosystem.

  Additionally, experience with mobile development (iOS, Android, and/or cross-platform frameworks like React Native) is required.

• Data & AI/ML:

  Proven experience working with data-intensive applications.

  The candidate must have

  practical knowledge of AI/ML concepts, including experience with

  Vector Databases

  (e.g., Pinecone, Weaviate, pgvector) and integrating LLMs or other machine learning models into production applications.

• Infrastructure & DevOps:

  Solid understanding of cloud infrastructure (

  AWS

  preferred), containerization (

  Docker, Kubernetes

  ), and CI/CD pipelines.

• Security:

  A strong, non-negotiable understanding of application security principles (OWASP Top 10), data encryption, authentication/authorization standards (OAuth, JWT), and secure development lifecycle practices.

• Data Stores:

  Hands-on experience with both

  SQL (PostgreSQL)

  and

  NoSQL (MongoDB)

  databases, including schema design and performance optimization.

Qualifications & Skills

• Experience:

  5-6 years of experience in a technical product management role, or a similar role such as a Product Owner, Solutions Architect, or Engineering Lead transitioning into product.

• Technical Credibility:

  A proven track record of successfully shipping complex, scalable software products.

  The ideal candidate

  can earn the respect of a high-performing engineering team.

• Exceptional Communication:

  Outstanding written and verbal communication skills in

  English

  are a must.

  The successful candidate

  can articulate complex technical concepts to non-technical stakeholders and write flawless, unambiguous documentation.

• Documentation Excellence:

  Mastery in writing technical specifications, software requirements, and user stories.

• AI & Security Mindset:

  Demonstrable knowledge and passion for Artificial Intelligence and a security-first approach to product development.

• Collaboration:

  A proven ability to lead through influence, foster collaboration, and build consensus across different teams.

Bonus Points

• Experience with MLOps pipelines and tools.
• Formal education in Computer Science, Engineering, or a related field.
• Prior hands-on software development experience.
• Certifications in AWS, Security (e.g., CISSP), or Product Management (e.g., Pragmatic Institute)