Onboarding Engineer tasked with enhancing customer onboarding for AI solutions in manufacturing. Collaborating with teams to ensure quality metrics and continuous improvement processes.
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 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
Requirements
2–5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.)
Metrics-minded: you can define “good”, track it, and drive iteration until it improves
Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene)
Fast, concise communicator who escalates early and clearly
Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live
Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs)
Manufacturing/process exposure is a strong plus
Benefits
A competitive salary & stock options*
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
Bau - Ingenieur (m/w/d) für das Sachgebiet Gebäudewirtschaft im Landratsamt Aichach - Friedberg. Verantwortlich für die Planung und Überwachung von Instandhaltungs - und Sanierungsmaßnahmen in kommunalen Liegenschaften.
Carbon Analysis Engineer measuring greenhouse gas emissions across industrial processes for climate decarbonisation at Neutreeno. Working in a hybrid model with Cambridge - based office requirements.
Autopilot Engineer developing and customizing firmware for autonomous systems at STARK. Collaborating on testing/debugging and integrating with AI systems.
Controls Engineer III designing and supporting industrial control systems for manufacturing at SP Industries. Leading complex projects from concept through commissioning while ensuring compliance with industry standards.
Process Engineer specializing in biogas projects, leading technical decisions and analyses. Involved from preliminary studies to basic project development in São Paulo, Brasil.
Engineer enhancing and supporting critical business recovery infrastructure at Lloyds Banking Group. Collaborating with a dedicated team to ensure operational resilience and recovery for business services during crises.
Leading the Planning Department with responsibilities in network and facility planning. Driving asset management development and project planning in the energy sector.
VoIP Engineer managing Aircall’s telephony infrastructure and ensuring secure, high - quality voice connectivity. Responsible for deploying cloud telephony technologies and collaborating with cross - functional teams.
Associate Enterprise Networks and Security Engineer maintaining network infrastructure and security for TalkTalk. Delivering stable network solutions and ensuring compliance with security standards.
Full - Stack Developer enhancing conversational AI products used by sales teams. Working student role in a scaling startup environment, with potential transition to full - time.