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Technical Product Manager (Agentic AI)
Full-time
About CONXAI
CONXAI has built a no-code, agentic AI platform for the AEC and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.
Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.
CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.
The Role
As a Product Engineer, you sit at the intersection of core engineering, ML R&D and the customer. Your goal is to transform complex agentic capabilities into reliable, production-ready features that solve industry problems.
Rapid Prototyping: Develop functional PoCs and MVPs to validate product hypotheses before full-scale engineering commitment
Technical Implementation: Translate high-level product roadmaps into functional system architectures and production code
Ecosystem & Integrations: Design and manage integrations with external AEC / ERP platforms and industry-specific data partners to enhance customer experience and streamlines operations across various systems
Product Diagnostics: Implement specialized tools and processes to analyze performance bottlenecks to ensure reliability, security and user satisfaction
Support Engineering: Act as the first responder for complex technical issues or production escalations, directly modifying code, schemas, or cloud infrastructure to resolve critical customer friction in real-time
Technical Bridge: Act as the technical counterpart to the Product Manager, as well as the primary technical partner for the sales and customer success teams
THIS IS NOT A STANDARD SOFTWARE ENGINEERING ROLE
What We’re Looking For
AI and Data: Strong background in machine learning or data science. You have experience taking AI use cases from prototype to production, from evaluating model performance and managing the technical trade-offs to ensuring system and operational readiness
Engineering Background: 4\+ years of experience in software engineering, with high proficiency in Python or Go and comfortable working across the full stack to ship features and fixes independently
Education: Degree in Computer Engineering, Computer Science or equivalent experience building and maintaining production-grade systems in a fast-paced environment
Infrastructure & DevOps: Practical experience managing cloud environments using AWS, Kubernetes and Terraform
Data Fluency: Ability to query and analyze system logs and performance data to identify bottlenecks in the user journey
AI Native: You have integrated AI tools deeply into your workflow to automate repetitive tasks, debug faster and increase your personal engineering velocity
Execution Focus: You have a "systems-first" mindset and enjoy designing the structures and "Minimum Viable Processes" that allow a technical team to move fast without sacrificing reliability
Why CONXAI
Edge of Innovation: Be at the forefront of automating the physical world's most complex industries
High Autonomy: High influence over the tech stack and the implementation patterns of our agentic framework.
Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
