Product Manager (Platform)

Develop and manage the product roadmap for the Company Platform and associated software infrastructure in collaboration with engineering leads.

Collaborate with autonomy, locomotion, and simulation teams to understand their tooling needs and incorporate them into platform product decisions.

Establish and monitor developer experience metrics for internal teams utilizing the Company Platform, and implement enhancements based on usage and feedback.

Collaborate with research engineers and infrastructure teams to determine, prioritize, and deliver software capabilities that facilitate quicker iteration on robot behavior.

Establish product documentation, release processes, and internal communication frameworks as the platform matures and the team expands.

Interface with external partners and customers utilizing the Company Platform to gather requirements and validate product direction.

Identify and address cross-functional dependencies between software, hardware, and operations as Asimov transitions from development to large-scale deployment.

At least 5 years of experience in product management, particularly in developer tooling, infrastructure, or platform products.

Proven track record of launching software products for technical users, whether internal engineering teams, researchers, or external developers.

Proficiency in enterprise SaaS architecture, including databases, structured data layers (such as Airtable, relational databases), wikis, knowledge management, Kanban, business process workflows, event-driven and scheduled automation (like n8n, Zapier, or equivalent BPM tooling), and access control models including RBAC.

Hands-on knowledge of AI agent frameworks and the considerations involved in building or deploying agentic workflows in production environments.

Ability to effectively communicate with engineers on systems design tradeoffs, API design, and infrastructure architecture without coding experience.

Strong analytical skills and comfort in using data to validate product decisions and define project completion criteria.

Experience in early-stage companies or startup-scale teams with a focus on broad ownership and lightweight processes.

Clear written and verbal communication skills, and the ability to bridge research requirements, engineering constraints, and business priorities.

Experience with robotics software stacks, ROS-based architectures, or real-time control systems.

Background in building simulation tools, data pipelines, or training infrastructure for machine learning or autonomy applications.

Familiarity with open-source product development and release workflows.

Previous exposure to ERP or CRM platforms and the enterprise sales and implementation cycles.

Join a renowned research team to work on impactful projects

Take ownership of the core training code infrastructure used by the team

Engage with real models, data, and scale, rather than small-scale problems

Contribute to bridging the gap between research velocity and engineering quality

Enjoy a flexible work environment with a culture that values depth, clarity, and curiosity

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666