Delivery Manager

Quick Facts

• Hands-on delivery leadership for 1–2 engineering teams initially, scaling to larger setups
• Owns end-to-end delivery: scope, timelines, quality, outcomes, governance, and stakeholder communication
• Leads AI-driven SDLC adoption, including AI agents and evaluation of GenAI tools

Description

A Delivery Manager combines delivery governance, technical leadership, and customer-facing ownership. You will run day-to-day delivery independently, dive into engineering details down to code when needed, and make architecture decisions within your teams’ scope. You’ll also drive the transition to an AI-powered SDLC by adopting AI-assisted practices and building AI agents that improve team efficiency.

Responsibilities

• Lead end-to-end delivery (project/sub-project/stream), owning scope, timeline, quality, and outcomes
• Own staffing and team composition; define roles/skills, interview, and assess seniority
• Set up or take over delivery environment (tooling, environments, CI/CD, and team process)
• Plan and estimate effort, schedule delivery, track milestones; support budgets with senior leadership
• Establish delivery governance (reviews, health checks, reporting, escalation paths) across SDLC phases
• Drive data-driven delivery using metrics for scope, schedule, quality, productivity, and team health
• Identify, assess, and mitigate scope/schedule/budget/resource risks; run risk reviews and escalate early
• Act as a problem solver focused on delivering customer value
• Make architecture decisions and translate architecture into implementation plans
• Dive into code-level problem areas and support resolution
• Design full CI/CD processes and remove pipeline inefficiencies
• Design quality processes across SDLC (coding standards, code review, static/dynamic analysis, refactoring, testing)
• Choose and tailor delivery methodology (Scrum, Kanban, or other)
• Drive adoption of AI-powered SDLC and measure impact; build AI agents/skills to automate workflows
• Evaluate and select GenAI tools and platforms; explain value to team and stakeholders
• Support delivery of AI-based solutions and participate in client presales (estimations, architecture reviews, documentation)
• Own direct communication with client stakeholders on technical and delivery topics; resolve conflicts
• Learn client domain and align team ways of working
• Lead by example: coach, give feedback, manage performance, foster an inclusive learning environment
• Share delivery best practices with the wider community

Requirements

• 5+ years in IT with a strong software engineering background, including 2+ years as Lead Developer, Team Lead, or Delivery Lead
• Proven track record managing delivery for teams of 5+ FTEs
• Ability to read/understand code and architecture of full-stack solutions and design/deliver one
• Working knowledge of architectural styles (n-tier, SOA, event-driven, microservices) and UML
• Ability to design for quality attributes (performance, scalability, security, maintainability) and justify trade-offs
• Advanced hands-on CI/CD experience (designing pipelines from scratch and optimizing)
• Hands-on experience with at least one major cloud platform (Google Cloud, AWS, or Azure); cloud certifications are a plus
• Advanced code quality practice (code review, static analysis, coding standards)
• Hands-on experience driving AI-assisted SDLC adoption
• Hands-on experience building AI agents and skills using LLM APIs and agent frameworks
• Solid project management practice (scope, estimation, planning, risk, quality, change management)
• Hands-on experience setting up delivery metrics across SDLC stages and delivery aspects; adapt metric set to engagement model (T&M, Fixed Fee, Managed Service) and SDLC approach
• Experience establishing team-level delivery governance (cadences, reviews, reporting, escalation)
• Practical experience with Agile (Scrum, Kanban) and ability to choose and tune methodology
• Understanding of testing fundamentals (test levels, types, activities)
• Experience communicating directly with clients on technical topics and resolving conflicts, ideally in international environments
• People leadership (coaching, feedback, performance management, interviewing)
• Strong ownership, adaptability, and clear verbal and written communication; confidence to challenge approaches constructively
• English at B2 level or higher

Benefits

• Hybrid by design mode with opportunity to work remotely within Poland
• Chance to work abroad up to 60 days annually and business-driven relocation opportunities
• Career development programs, thought leadership, mentoring, soft skills and well-being programs
• Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS) and English classes
• Stable pay; Employee Stock Purchase Plan with a 15% discount
• Benefits package (health insurance, multisport, shopping vouchers)
• Referral bonuses up to $2,000
• Corporate, social, and well-being events; offices with entertainment/relaxation zones, free snacks, coffee, and more

Note: Benefits are for employees only; B2B/contractor terms are agreed individually.