- Set the technical direction for the Model Authoring team
- Establish engineering standards across Model Authoring pods and ensure they are documented and referenced in code review
- Own technical direction for shared enablers, including model representation and persistence, model registry, secure context access, and shared agentic infrastructure
- Establish and document technical interfaces between Model Authoring and other Technology teams
- Work hands-on on the highest-risk technical problems and contribute directly to code
- Define and evolve AI-native ways of working, including decisions about agent use and required evidence for trust
- Raise the technical bar across pods and provide design input
- Support the growth and development of other engineers
- Collaborate across the Warsaw and London offices
Requirements
- Worked in an AI-native environment and used, introduced, or experimented with AI or agentic tools in an engineering workflow
- Product-focused experience connecting technical decisions to users, customer pain points, and commercial outcomes
- Proven track record of owning architecture and setting technical direction in ambiguous domains
- End-to-end ownership of a significant technical challenge or service, including trade-offs and contracts
- Ability to influence across teams, handle challenge, listen to pushback, and persuade others
- Experience working effectively across distributed teams
- Developer experience work is nice to have, ideally building tools for developers or actuaries
- Must be able and willing to work from the office 2–3 days per week in a hybrid working model
- Must have the legal right to work in the country where the role is based
Core Competencies
Demonstrates expertise in setting technical direction and establishing engineering standards within an AI-native environment, while effectively collaborating across distributed teams. Proven ability to influence technical decisions that align with user needs and commercial outcomes.
Highest-signal resume keywords
- Technical Direction Ownership
- AI-Native Environment Experience
- Architecture Design and Implementation
- Cross-Team Collaboration
- Influencing and Persuasion Skills
Hard Skills
- Model Representation
- Model Persistence
- Model Registry
- Technical Interface Documentation
- Code Review Standards
- End-to-End Ownership
- AI Tools Experimentation
- Technical Problem Solving
Soft Skills
- Influencing Others
- Listening and Handling Pushback
- Supporting Engineer Development
Industry Keywords
- AI-Native
- Technical Standards
- Distributed Teams
- Hybrid Working Model
Tools & Technologies
- Agentic Tools
- Engineering Workflow Tools
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Staff Product Engineer employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
