Senior Project Manager – AI Implementation

Lucid Labs

Senior Project Manager at Lucid Labs overseeing AI implementation projects for SMEs. Managing customer relations and technical development with a focus on practical results.

Posted 7/8/2026full-timeBerlin • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing client projects, facilitating workshops, and translating business requirements into technical specifications. Proficient in AI applications, automation opportunities, and effective communication with diverse stakeholders.

Highest-signal resume keywords

Client Project ManagementWorkshop FacilitationAI Application ImplementationStrong Communication Skills in GermanAutomation Opportunity Identification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ManagementRequirements GatheringData AnalysisPresentation CreationAI Prompt WritingN8n Workflow ConfigurationClaude Skill DevelopmentJSON ReadingBusiness Case DevelopmentTechnical Consulting

Soft Skills

Entrepreneurial ThinkingClear CommunicationClient Relationship ManagementFeedback CollectionCollaboration

Industry Keywords

B2B SaaSTech-Focused ConsultingDigital InnovationClient DocumentationPre-Sales Activities

About the role

Key responsibilities & impact

Manage multiple client projects in parallel — set deadlines, clarify scopes, and track status.
Prepare, plan and run workshops — from discovery to deep dives into use cases.
Create presentations, analyze data, and facilitate workshops.
Independently lead weekly client calls — including demos, raising new topics, and collecting feedback.
Capture requirements clearly and translate them for the engineering team.
Build Claude Skills, n8n workflows and prototypes yourself.
Produce client documentation — specs, handovers, and reports.
Identify new automation opportunities at client sites and translate them into business cases.
Support pre-sales activities — scoping, estimating, and structuring proposals.

Requirements

What you’ll need

3–7 years of professional experience, including at least 2 years in tech-focused consulting, an innovation or digital unit, as a Solutions Consultant at a B2B SaaS vendor, or at a technology-driven company with direct client contact.
Also considered: consultants with a technical background who have specifically implemented AI applications within the last 12 months.
You combine business understanding with technical curiosity — through studies, professional experience, or self-directed learning.
What matters is that you feel at home in both worlds (business and tech), not the exact degree or title.
You have independently run several concurrent client projects — including workshops at executive/decision-maker level.
You think entrepreneurially: you judge whether a use case is viable — and you say so.
Strong communication skills in German — you can speak clearly with a CEO as well as with a developer.
Hands-on AI affinity — you write prompts yourself, have configured n8n or a Claude Skill, know what an API is, and can read JSON.

Benefits

Comp & perks

Variety with impact — you manage multiple clients in parallel, encounter new use cases every week, and work in fast discovery cycles.
No pitch-weekends, no account director between you and your impact.
Short communication lines within the team and very modern tools that you help choose.
You see the outcome of your work — you close projects instead of packing results into slides that nobody reads.
From workshop to code — levers you previously only identified in PowerPoint are implemented directly here.
Direct access to the client’s CEO and to our founder — no partner layer, no Sunday final edits, no insights lost in footnotes.
Direct impact — your work changes the way clients operate within weeks.
Early-stage opportunity — you’ll be part of the core team shaping Lucid Labs’ next growth phase.
Your contribution directly influences what the company looks like in two years.
Work with a founder who has done this before — Marek previously co-founded Flightright and helped build it from first customers to a successful exit.
Pace that large corporations structurally can’t match — in classic strategy consulting it can take weeks to months to turn an idea into a pilot.
With us: identified on Wednesday, built on Thursday, in production by Tuesday.