Jobs at Shift Technology

Build and maintain production-grade integrations between AI agents, third-party platforms, and recovery services. Design scalable backend services, APIs, data ingestion pipelines, microservices, and infrastructure using strong testing and software engineering practices. Support deployment, production launch, performance optimization, and ongoing reliability. Collaborate with US-based data scientists and cross-functional teams while providing secondary support for frontend and interface needs.

Develop backend services and scalable components using C# and .NET. Design and implement APIs and application features, collaborate with engineering squads, and contribute to platform foundations for deployment, monitoring, security, worker services, fraud detection, and SDK capabilities. The role requires object-oriented programming, Azure knowledge, and backend API development, with Cosmos DB, Service Bus, and AI/ML knowledge as advantages.

Support data processing pipeline deployment, including data reception, cleaning, information extraction, and fraud-model calibration. Conduct R&D in machine learning, NLP, image analysis, trend analysis, and chatbots. Collaborate across sales, legal, product, and engineering throughout the AI product lifecycle.

Support deployment and maintenance of fraud-detection solutions: assist with ETL configuration, detection implementation, feature rollout, pipeline optimization, and cross-team client engagement under senior data scientists.

Lead end-to-end delivery of AI SaaS products for insurance clients. Responsibilities include scoping projects, managing client relationships, defining methodologies, validating requirements, coordinating technical teams, aligning roadmaps and release plans, managing risks and milestones, supporting presales, and improving internal delivery processes. The role is hybrid in Paris and requires advanced French, business-fluent English, and at least five years of IT project management experience.

Develops and deploys production-grade generative and agentic AI systems for insurance claims workflows. Responsibilities include designing specialized agents, prompt and context engineering, RAG pipelines, tool integration, memory strategies, benchmarking, evaluation, monitoring, and continuous improvement. The role collaborates with product, engineering, and data teams to industrialize AI systems and deliver measurable business impact.

Build and productionize data pipelines and LLM-based, multimodal AI solutions for insurance use cases. Develop agentic AI applications using RAG, embeddings, prompting, custom tools, and evaluation frameworks. Apply responsible-AI practices, deploy and monitor machine learning systems, and lead client workshops to translate business needs into technical solutions and roadmap priorities.

Leads global sales performance and operations for an enterprise SaaS organization. Responsibilities include pipeline inspection, forecasting, deal desk management, sales methodology enforcement, KPI development, enablement, performance management, quota and territory planning, incentive design, Salesforce execution, quote-to-cash optimization, and executive reporting. Partners with the CRO and global sales leadership to improve execution across complex, long-cycle enterprise deals.

Set technical direction across engineering squads, leading Azure architecture, API management, cloud reliability, observability, infrastructure, and developer experience. Design standards and reusable frameworks for agentic AI, chatbots, MCP integrations, security, token-cost governance, and scalable product capabilities. Mentor teams, align engineering and data science, and drive modernization through robust APIs, event-driven systems, and maintainable AI ecosystems.

Develop and productionize data science and engineering solutions for fraud detection, anti-money laundering, and claims automation. Responsibilities include building data pipelines into SQL and Elasticsearch, developing and tuning machine learning models, automating business processes in C#, working with structured and unstructured data, and engaging clients to gather feedback, present solutions, and define product roadmaps.

Build and deploy production ML solutions for fraud detection, AML and claim automation. Implement data pipelines from client extracts to the data warehouse, develop/tune/test models, automate business tasks in C#, report KPIs, and engage with clients and stakeholders.

Develop and execute UK territory strategies, build relationships with C-level insurance stakeholders, identify and close new enterprise accounts, manage sales pipelines, submit proposals and contracts, and coordinate internal resources to win complex SaaS deals valued at $300K or more across multiyear contracts.

This role involves selling enterprise-grade SaaS solutions to the Health Insurance sector, managing C-level relationships, strategizing territory plans, and identifying new opportunities within the Healthcare sector.

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Lead German go-to-market: personally drive enterprise B2B sales to insurance carriers, own new logo acquisition and account expansion, engage C-level stakeholders, manage specialists, and ensure predictable revenue.

The internship involves setting up data processing pipelines, collaborating with clients, conducting R&D, supporting sales, and understanding product lifecycles in AI for insurance.

As a Graduate Data Scientist, you'll work on fraud detection, anti-money laundering, and claims automation, implementing data engineering and developing machine learning models.

The Key Account Executive is responsible for building and maintaining senior-level relationships with national insurance carriers, guiding complex sales cycles, and delivering value through consultative approaches.

As a Data Scientist, you'll work on fraud detection and automation, developing models, coding, and interacting with clients while handling diverse data types.

Work with the data science team to understand insurance data and fraud, build and optimize mathematical models and algorithms, implement production-quality code, participate in client workshops to gather feedback, and propose continuous improvements.