Product Manager (Platform)

Own the product roadmap across the Company Platform and related software infrastructure, working with engineering leads to define priorities, sequencing, and success criteria.

Partner with autonomy, locomotion, and simulation teams to understand their tooling requirements and translate those into platform product decisions.

Define and track developer experience metrics for internal teams building on top of the Company Platform, and drive improvements based on usage and feedback.

Work with research engineers and infrastructure teams to scope, prioritise, and deliver software capabilities that enable faster iteration on robot behaviour.

Build the product documentation, release processes, and internal communication structures needed as the platform matures and the team grows.

Engage with external partners and customers deploying on the Company Platform to gather requirements and validate product direction.

Identify and resolve cross-functional dependencies between software, hardware, and operations as Asimov moves from development to deployment at scale.

5 or more years of product management experience, with demonstrated depth in developer tooling, infrastructure, or platform products.

Track record of owning and shipping software products that serve technical users, whether internal engineering teams, researchers, or external developers.

Fluency in enterprise SaaS architecture as a system: databases and structured data layers (Airtable, relational databases), wikis and knowledge management, Kanban and business process workflows, event-driven and scheduled automation (n8n, Zapier, or equivalent BPM tooling), and access control models including RBAC. You understand how these components connect and where they break.

Hands-on familiarity with AI agent frameworks and the product considerations that come with building or deploying agentic workflows in production environments.

Ability to engage credibly with engineers on systems design tradeoffs, API design, and infrastructure architecture without needing to code yourself.

Strong analytical instincts and comfort using data to validate product decisions and define what done looks like.

Experience working at an early-stage company or within a startup-scale team where process is lightweight and ownership is broad.

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

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

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

Familiarity with open-source product development and release workflows.

Prior exposure to ERP or CRM platforms and the enterprise sales and implementation cycles that surround them.

Collaborate with a world-class research team on meaningful, high-impact projects

Own and shape the core training code infrastructure used daily by the team

Work on real models, real data, and real scale - not toy problems

Help bridge the gap between research velocity and engineering quality

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