AI Onboarding Engineer

Deltia; Berlin; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Stock options

Urban Sports Club

Team retreats

Flexible hours

Flat hierarchy

360° feedback

Diversity & Inclusion

Job summary

Almetra is seeking a detail‑driven professional to own onboarding outcomes and drive KPI improvements in a hybrid, full‑time setting. You will implement the onboarding cycle, iterate based on data, and flag data quality issues early to ensure reliability.

You will document edge cases, collaborate with installation teams, and continuously enhance checklists, templates, and tooling based on real usage. A supportive, inclusive culture awaits.

Qualifications

• 2–5 years of experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.)
• Metrics-minded: define, track, and drive improvement of key KPIs
• Detail-oriented with strong documentation hygiene and process discipline

Responsibilities

• Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)
• Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as data and edge cases appear
• Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)
• Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date
• Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps
• Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage
• Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency

Skills

Execution experience

Metrics mindset

Detail-oriented

Clear communicator

Ownership mindset

Technical literacy

Manufacturing exposure

Job description

What you'll do

• Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value)

• Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear

• Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections)

• Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date

• Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps

• Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage

• Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency

You are

1. 2–5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.)

2. Metrics-minded: you can define "good", track it, and drive iteration until it improves

3. Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene)

4. Fast, concise communicator who escalates early and clearly

5. Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live

6. Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs)

7. Manufacturing/process exposure is a strong plus

#LI-Hybrid #LI-SP1

What we offer

Employee Share Options Program for all permanent employees*

An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.

Be on the forefront in defining what artificial intelligence means in manufacturing

Gain hands‑on experience in working in an AI‑first software company

Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company

Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting‑edge projects with real‑world impact

Network with professionals and leaders in the field, opening doors to potential future career opportunities

We have a very flat hierarchy, open 360° feedback, and flexible working hours

Ethics: We are committed to developing ethical AI software

Don't meet all the requirements?

Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.

*Only full-time, permanent roles are eligible for stock options. Part‑time roles, contract roles, work‑student, internships and freelance roles are not eligible for stock options.