GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
We’re looking for a Delivery Manager to support one of GT’s most innovative AI-focused clients.
The client is building an AI-powered cybersecurity coding platform that helps engineering teams with vulnerability analysis, pentesting workflows, and security automation.
The product combines modern AI capabilities with practical developer tooling and is used by enterprise-level customers.
This role is ideal for someone who enjoys guiding engineering teams, bringing structure to evolving environments, and working closely with business and technical leaders to ensure alignment and smooth delivery.
You’ll work directly with a compact, highly skilled engineering team of 6–7 people (Software Engineers, an ML Engineer, and a DevOps Engineer), all based in Europe, while regularly collaborating with business and executive stakeholders located primarily in PST/EST time zones.
The environment is fast-moving, strategic, and deeply focused on AI-powered development.
This role begins as a part-time engagement, with a clear long-term opportunity to grow into a full-time Delivery Manager at GT, eventually supporting multiple clients and engaging in light BD/Account Management activities.
Type: Part-time (60–80 hours/month).
5+ years in Delivery / Project Management in tech
Experience leading a single engineering team (5–10 people)
Strong Agile/Scrum facilitation experience
Startup experience
Excellent communication and structured thinking
Confidence in decision-making and presenting clear logic
Ability to build trust with engineers and senior leaders
Fluent English
Strong collaboration skills with highly technical leaders
Practical, daily experience using AI tools
ChatGPT+ / Claude Pro / Gemini Advanced
Otter / Fireflies / Notion AI
Ability to use AI to understand services, summarize PRs, document workflows, generate risks, etc.
Awareness of AI limitations (hallucinations, reliability issues, prompt-design principles)
Exposure to cybersecurity-related products or workflows / Interest in cybersecurity domain and willingness to learn
Experience with estimations, proposals, or delivery strategy
Experience with:
GitHub Copilot
Cursor / Cody
Agentic tools (aider, Claude CLI, Cursor agents)
Superwhisper, Raycast AI
Certifications (Scrum Master, PMP)
High emotional intelligence
Calm, clear, thoughtful communication
Strong preparation and attention to detail
Ability to create structure in evolving environments
Relationship-building and alignment skills
Lead Delivery for the Engineering Team
You will become the primary delivery owner for the engineering team, working closely with:
Software Engineers
AI/ML Engineers
Product & business stakeholders
Technical leadership
Your responsibilities include:
Facilitating planning, standups, reviews, and retrospectives
Maintaining delivery timelines and priorities
Tracking progress and ensuring high execution standards
Identifying risks early and communicating them clearly
Keeping the team aligned and focused
Support & Enable the Engineering Team
You will help create the conditions for the engineering team to thrive:
Run regular 1–1s with engineers (together with People/Operations)
Understand workload, motivation, and potential blockers
Provide clarity and context when priorities shift
Shield the team from unnecessary noise or interruptions
Translate stakeholder input into structured tasks and plans
Create Clarity in a Fast-Moving, Evolving Environment
The client moves quickly and values thoughtful structure. You will:
Turn evolving ideas into clear action plans
Maintain transparent communication across stakeholders
Introduce lightweight processes to increase predictability
Bring calm, logic, and preparation to every discussion
Work Closely With Senior Stakeholders
You’ll regularly collaborate with senior leaders—both technical and business:
Clarify requirements and desired outcomes
Align expectations, priorities, and delivery timelines
Facilitate decision-making
Ensure smooth and consistent communication between leadership and the engineering team
This project is deeply AI-driven. You will:
Join discussions on AI features, workflows, and capabilities
Work closely with engineers building AI functionality
Use AI tools daily for planning, summarization, risk identification, and documentation
Stay curious and continuously explore advancements in AI
You don’t need to be an AI developer - but strong practical experience using AI in day-to-day work is required.
Beyond this initial project, GT offers a clear path toward:
A full-time Delivery Manager role
Account Management responsibilities
Light Business Development (up-sell, cross-sell identification)
Participation in presales and proposal creation
Supporting multiple GT clients across different domains
This is a great role for someone who wants to grow into a broader client-facing leadership position over time.
GT interview with Recruiter
Technical interview
Final interview
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