Staff Product Engineer

Jobtailor; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Jobtailor in London and Warsaw seeks a senior technical leader to own architecture and direct the Model Authoring team. You will set standards, define interfaces, and hands-on tackle high-risk problems, shaping AI-native workflows and agentic infrastructure.

Lead across distributed teams, influence across pods, and mentor engineers while ensuring hybrid work adherence and business-aligned outcomes.

Qualifications

• Worked in an AI-native environment with AI or agentic tools in an engineering workflow.
• Product-focused experience connecting technical decisions to users, 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.

Responsibilities

• 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.

Skills

Technical Direction Ownership

AI-Native Environment Experience

Architecture Design and Implementation

Cross-Team Collaboration

Influencing and Persuasion Skills

End-to-End Ownership

Ability to Influence Across Teams

Distributed Teams Experience

Developer Experience (Tools for Devs)

Model Representation

Model Persistence

Model Registry

Technical Interface Documentation

Code Review Standards

AI Tools Experimentation

Technical Problem Solving

Influencing Others

Listening and Handling Pushback

Supporting Engineer Development

Tools

Agentic Tools

Engineering Workflow Tools

Model Registry

Job description

• 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