Product Owner für Low‑Code‑Produkte (Zendesk, Babelforce) im Customer‑Service‑Bereich, verantwortlich für Konfiguration, Weiterentwicklung, Produkt‑Evangelismus und KI‑Integration.
Responsibilities
Verantwortung für Administration und Weiterentwicklung von Low‑Code‑Produkten wie Zendesk und Babelforce
Konfiguration und Optimierung von Ticket‑ und Telefonie‑Systemen
Produkt‑Evangelismus und interne Vermarktung neuer Funktionen
Anforderungsmanagement und Priorisierung von Operations‑Anforderungen
Koordination von IT‑Schnittstellen und externen Partnern
Requirements
Abgeschlossenes Studium im Bereich Betriebswirtschaft oder Wirtschaftsinformatik
Build and integrate AI agents and automation solutions across Microsoft 365 and other enterprise systems, ensuring secure, reliable, and scalable deployments.
Compensation
Je kan rekenen op een motiverend salaris, aangevuld met extralegale voordelen, inclusief bedrijfswagen (of alternatieve vergoeding).
Responsibilities
Develop AI agents and automation workflows
Integrate AI solutions with Microsoft 365, Dataverse, and other business systems
Design and implement API connectors and integrations
Ensure security, governance, and lifecycle management of AI solutions
Collaborate with data, AI, IT, and business teams
Requirements
Bachelor's or Master's in IT, Computer Science, Software Engineering, or related field
Concevoir et développer des agents IA (LLM) pour la facturation, intégrer aux plateformes billing, prototyper, mettre en production, assurer la fiabilité et la supervision, documenter, mesurer la performance, et collaborer avec les équipes produits.
Responsibilities
Concevoir et développer des agents IA (LLM) capables d'automatiser des tâches billing
Intégrer les agents avec les plateformes billing et les SI clients via API et protocoles d'outillage
Prototyper rapidement des cas d'usage avec les frameworks agentiques du marché
Mettre en place des garde-fous, des mécanismes d'évaluation et de supervision humaine pour garantir la fiabilité des agents en production
Documenter les cas d'usage, mesurer la performance et le ROI des agents déployés chez les clients
Requirements
Bac+5 (ingénieur, data science ou équivalent)
Nice to have: expérience ou fort intérêt pour les métiers du billing (abonnement, facturation, dunning)
We're looking for a Senior Search Engineer who bridges the gap between search infrastructure and data science: someone who can both architect a high-performance retrieval pipeline and run rigorous offline experiments to validate relevance improvements.
Design and implement search features end-to-end: from indexing pipeline changes and schema design to query rewriting, ranking, and autocomplete.
Lead data-driven technical initiatives — write RFCs grounded in query log and user behaviour analysis, then own delivery from design to production.
Champion semantic and vector search: design embedding-based retrieval components, integrate LLMs for query understanding or evaluation, and measure real impact via A/B experiments.
Build and maintain offline evaluation pipelines (relevance judgment, NDCG, MRR) to accelerate the feedback loop between experimentation and deployment.
Improve indexing reliability and throughput — reduce re-ingestion times, ensure consistency, and tighten SLAs.
Requirements
Nice to have: Vespa migration
Nice to have: migrating from Solr/Elasticsearch to Vespa
A hands-on engineering role focused on building high-quality software and AI agents to solve business problems. Working directly with business teams like call center reps and attorneys to deliver measurable results using AWS.
Compensation
$120,000—$160,000 USD
Responsibilities
Embed with the business: Spend time with the teams doing the work to understand how it gets done and where it gets stuck
Pick the right problem: Agree with business owners on one measurable problem, take a baseline before building, and define how success will be measured
Lead by example: Design and implement reliable systems across the backend, frontend, and cloud infrastructure on AWS
Build with AI: Build AI agents and workflows for areas such as our call center and client intake across chat, text and voice, the early steps of litigation, practice areas beyond personal injury, and new AI products the firm is building
Build and ship product features that bring modern AI tools into user-facing apps, internal operations tools and backend services on a multi-sided platform.
Compensation
Base salary: USD 140,000 to 200,000 per year
Responsibilities
Apply existing AI tooling and models across customer-facing apps, internal operations tools and the platform to automate manual steps.
Guide work across client-side and server-side code while coaching fellow engineers.
Design and build real-time matching, automated screening flows, distributed systems and APIs.
Own product areas from design through delivery, working alongside product and design partners.
Work with the CTO on technical architecture and product roadmap.
Requirements
Computer Science or other technical degree from a top-ranked university
Nice to have: breadth of experience across multiple domains such as marketplaces, matching systems, multi-sided platforms or operationally complex industries
Lead strategic transformation and process excellence initiatives within Google Operations Center’s Innovation & Transformation Office, integrating Lean Six Sigma, AI-driven insights, and digital automation to optimize global service models.
Compensation
We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
Responsibilities
Serve as a Transformation Lead for aligned workflows
Design and deliver long-term future-state operating models
Spearhead customer experience agenda and service models
Use data mining and Lean Six Sigma to reduce process variation
Design resilience frameworks for operational risk mitigation
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Certified Lean Six Sigma Black Belt
Nice to have: Proficiency in Prompting and using GenAI
GTM EngineerNewClera-AI · Berlin, Germany
AI Automation & Integration Engineer (Freelance)NewEngiFlex · Brussels, Belgium
Staff Backend Engineer (d/f/m)Newkleinanzeigen.de GmbH · Berlin, Germany
Forward Deployed EngineerNewMorgan & Morgan, P.A. · Remote, US