Track progress and project risks, and propose clear actions to keep projects on track.
Own day to day client relationships, including regular check ins and expectation setting.
Really understand client's needs, business processes and requirements. We do not want a project manager that just "manages project timeline". Understanding the client allows you to do a better job.
...
Track progress and project risks, and propose clear actions to keep projects on track.
Own day to day client relationships, including regular check ins and expectation setting.
Really understand client's needs, business processes and requirements. We do not want a project manager that just "manages project timeline". Understanding the client allows you to do a better job.
...
Track progress and project risks, and propose clear actions to keep projects on track.
Own day to day client relationships, including regular check ins and expectation setting.
Really understand client's needs, business processes and requirements. We do not want a project manager that just "manages project timeline". Understanding the client allows you to do a better job.
...
You have the mindset of a Staff Engineer + AI Engineer + Distributed Systems Engineer. You enjoy problems where the architecture is not obvious and conventional software engineering is not enough. You move comfortably between frontend → backend → infrastructure → data → LLMs → agents → evaluation → optimization. You do not just ask "how do we implement this?" — you ask "how do we design this so the system can eventually figure out the best way to implement and operate it itself?"
Anthropic's Claude ecosystem · Production AI agents · MCP (Model Context Protocol) · LangGraph or equivalent orchestration frameworks · Temporal or workflow orchestration · Reinforcement learning concepts · Automated experimentation · AI evaluation frameworks · Vector databases · Autonomous coding agents · Browser/computer-use agents · Multi-agent systems · AI-native SaaS products · Open-source contributions · Leading technical architecture
This is a 10+ year engineering role. You own architecture rather than implement tickets. You make independent technical decisions, identify architectural weaknesses proactively, mentor engineers, establish engineering standards, debug complex production systems, think about scalability from day one, understand the trade-offs between performance, cost and reliability, translate ambiguous business problems into technical systems, prototype rapidly and productionize what works, and challenge assumptions when necessary.
Engineering Analysis & Calculations: Perform appropriate engineering calculations and technical evaluations to support design decisions, verify performance and identify potential design risks or improvement opportunities.
Prototyping, Testing & Validation: Support prototype development, assembly and testing. Conduct or coordinate functional checks, collect test data, analyze results and recommend modifications to improve performance, reliability and usability.
Manufacturing & Production Support: Work with production, suppliers and technicians to resolve fabrication or assembly issues, improve manufacturability and support efficient and cost-effective production methods. Assist with work instructions, process improvements and quality-related technical matters.
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