Product Manager

Company Overview

Synaptic Delver is a deep technology company focused on neurotechnology, AI, and advanced human–machine systems. We develop scalable platforms that capture and apply cognitive and neural data, combining engineering, neuroscience, and machine learning expertise.

Job Summary

Lead the product strategy and execution for Synaptic Delver’s flagship neurotechnology platform, driving development across hardware, software, and data systems to deliver innovative user-centric solutions.

Responsibilities

• Define and communicate the product vision, strategy, and roadmap for SynDock to align cross-functional teams and stakeholders
• Translate complex technical capabilities into intuitive, user-centric product experiences that meet market needs
• Collaborate closely with engineering teams (hardware and software), AI specialists, and design professionals to ensure cohesive product development
• Lead end-to-end product development from concept through deployment, ensuring timely delivery and quality outcomes
• Engage with partners and stakeholders across diverse sectors to identify and validate new use cases and applications, including wellness, productivity, and defence
• Apply product management expertise to navigate the full product lifecycle within a startup environment, adapting to evolving requirements and challenges
• Facilitate effective communication and problem-solving within cross-functional technical teams to overcome development obstacles and optimize product performance

Required competencies and certifications

• 2–4+ years of product management experience managing complex systems involving hardware, software, AI products, or data platforms
• Proven ability to execute product lifecycle management in startup environments
• Strong communication skills to articulate product goals and resolve challenges across teams
• Demonstrated problem-solving skills in technical and cross-functional contexts

Preferred competencies and qualifications

• Experience in deeptech domains such as AI, hardware systems, IoT, or healthtech
• Exposure to data-driven or analytics platforms to inform product decisions
• Experience building products from the ground up (0→1) or working in early-stage startups