Delivery Manager (Computer Vision / Retail)

Knowledge of German at the C1 level is required.

Role Overview

We are looking for a Delivery Manager/Technical Delivery Manager to lead deployments of AI/Computer Vision solutions across retail environments (Self-Checkout/SCO).

The DM will own end-to-end implementation activities, including customer onboarding, POS integrations, infrastructure readiness, model release operations, installation coordination, monitoring, and operational support.

Day-to-Day Responsibilities

• Launch new store deployments and coordinate customer onboarding.
• Coordinate and validate POS integrations.
• Validate network and infrastructure readiness; coordinate VPN/firewall setup with customer IT.
• Prepare installation work orders and coordinate camera and PU installation.
• Manage store-level configuration changes via GitLab.
• Execute model release operations: review metrics, make Go/No-Go decisions, coordinate rollout.
• Monitor dashboards, logs, and KPI reporting; investigate alarms and incidents.
• Prepare operational reports (customer-facing and internal).
• Maintain store inventory records and IP matrices.
• Provide support and manage incident responses (SLA & customer inquiries).

Core Requirements

Technical Skills

• German, English (C1 and higher), or Russian as a bonus.

Understanding of:

• SDLC in Computer Vision products.
• Networking fundamentals: LAN/WAN, DHCP vs Static IP, VPN concepts, firewall rules, and ports.
• Comfortable validating store infrastructure readiness, coordinating VPN/firewall setup, and troubleshooting connectivity issues with customer IT teams.
• Linux workstations/edge devices: service checks, log retrieval, basic container operations (Docker).
• Remote edge infrastructure operations.
• Text configuration, JSON—reading, editing, merging configurations.

Experience with:

• POS/API integrations and other API integrations.
• Reading technical documentation, API testing, and validation.
• Emulator-based testing, end-to-end request/response validation.
• Acceptance testing.
• Independently manage GitLab MRs for configuration changes.

Candidate should be capable of independently driving integrations and escalating only true L3/code-level issues.

ML/Model Operations

• The DM is the primary owner of model release decisions. This does not require writing ML code but does require operational confidence with CV metrics and release workflows.

Required:

• AI tools (Claude, GPT, etc.).
• Basic understanding of model evaluation metrics relevant to detection tasks (precision, recall, alarm rate, threshold behavior).
• Ability to compare model versions using pre-built validation reports (Google Sheets/Confluence release notes) and make Go/No-Go decisions.
• Coordination of canary deployments (2–3 stores) before full rollout.

Cloud & Data Platforms

Basic working knowledge of:

• Google Cloud Platform (GCP): GCS bucket navigation.
• SQL/NoSQL DB—no complex SQL.
• Credentials handling and service account basics.

Required Background

• 2–4 years in roles such as: Technical Project Manager, Delivery Manager, Customer Engineer, Technical Operations Manager.
• Retail/SaaS deployment experience strongly preferred over a pure project management background.
• Experience managing multi-site rollouts.

Strong candidates demonstrate:

• Ownership mindset and a high level of independence.
• Structured communication and strong follow-through.
• Ability to work under pressure and manage production incidents.
• Excellent stakeholder communication (both engineering teams and customers).
• Strong documentation discipline.

Expected to:

• Maintain Confluence/Jira documentation, create and improve runbooks/playbooks.
• Coordinate cross-functional teams and escalate issues clearly with proper context and evidence.
• Maintain store infrastructure records, IP inventories, and deployment trackers.

Nice-to-Have

• Retail/self-checkout experience.
• Managing Computer Vision projects.
• Camera systems knowledge: ROI setup, alignment, FOV validation.
• Familiarity with DevOps workflows and GitLab.

Ideal Candidate

We are looking for someone who:

• Can independently drive deployments to production across multiple customers and countries.
• Is comfortable working with infrastructure, logs, and configuration management.
• Understands ML model release workflows and can make operational decisions on model quality.
• Communicates effectively with both engineering teams and customers.
• Owns non-code execution without delegating operational tasks to engineers.
• Treats production as their personal responsibility.

Why work with us

You will help bring AI and computer vision products from development into real-world retail deployments. The role combines a bit of technical delivery, customer-facing work, and coordination across product, engineering, and implementation teams.

This is a hands-on role for someone who wants to be close to real-world and production operations—not just project tracking.