Skywaves Rise

Company Name: Skywaves Rise
Job Title: Digital Transformation Lead
Job Description: Job Title: Digital Transformation Lead Role Summary: Lead end‑to‑end digital transformation initiatives for large, high‑impact consulting engagements, driving technology adoption, process improvement, and business outcomes. Expectations: Deliver measurable transformation results, engage enterprise executives, manage cross‑functional teams, and translate strategy into executable roadmaps while maintaining stakeholder alignment and risk controls. Key Responsibilities: - Design and execute digital transformation roadmaps (cloud, data, AI, enterprise architecture). - Lead multi‑disciplinary project teams and coordinate with client stakeholders. - Communicate progress, risks, and outcomes to C‑suite and business leaders. - Identify, evaluate, and recommend enterprise platforms (Salesforce, SAP, Azure, AWS, GCP). - Oversee adoption of analytics tools (Power BI, Tableau, Google Analytics) and Gen AI use cases. - Maintain project schedules, budgets, and resource allocation using MS Project, Smartsheet, Jira, or Asana. - Facilitate workshops, change management activities, and knowledge transfer. Required Skills: - 10+ years in consulting, professional services, or banking transformation projects. - Proven delivery of large‑scale, complex transformation engagements. - Executive stakeholder management and persuasive communication. - Strong business acumen with ability to link technology solutions to KPIs. - Analytical, structured problem‑solving mindset. - Expertise in digital transformation, IT strategy, change management, enterprise architecture, cloud adoption, data strategy, or Gen AI. - Proficiency with project management tools (MS Project, Smartsheet, Jira, Asana). - Experience in analytics platforms (Power BI, Tableau, Google Analytics). - Familiarity with enterprise platforms (Salesforce, SAP, Workday, Azure, AWS, GCP). - Comfort using collaboration and documentation tools (Miro, Notion, Confluence, MS Teams). - Leadership, facilitation, negotiation, and team‑building capabilities. Required Education & Certifications: - Bachelor’s degree in Business, Engineering, Computer Science, or related field (MBA or Master’s preferred). - Relevant professional certifications (e.g., PMP, CBAP) are desirable but not mandatory.

Paris, France

On site

Senior

06-01-2026

Company Name: Skywaves Rise
Job Title: Platform Engineer
Job Description: Job Title: Platform Engineer Role Summary: Seasoned engineer responsible for designing, building, and operating scalable cloud‑native platforms that support API‑driven services, data pipelines, and production‑grade machine‑learning models. Drives automation, observability, and security across the stack while collaborating with cross‑functional technical stakeholders. Expectations: - 10+ years of software, infrastructure, or applied ML engineering experience. - Proven ability to deliver production systems on AWS, GCP, or Azure using Kubernetes and serverless technologies. - Strong problem‑solving under pressure and effective communication with architects, engineering teams, and leadership. Key Responsibilities: - Architect, develop, and maintain backend services in Python, TypeScript/JavaScript, or comparable languages. - Deploy and manage containerized workloads on Kubernetes; implement serverless functions where appropriate. - Design, implement, and optimize CI/CD pipelines and Infrastructure‑as‑Code (Terraform, Helm, Ansible). - Operationalize ML models (TensorFlow, PyTorch, Hugging Face, custom inference) and ensure reliable serving. - Establish monitoring, logging, and alerting (Prometheus, Grafana, ELK, Datadog) and lead incident response. - Apply SRE practices, performance profiling, and scaling strategies to meet availability targets. - Enforce security best practices (SSO, RBAC, encryption, API security) and support compliance (SOC 2, HIPAA, GDPR). Required Skills: - Advanced proficiency in Python and/or TypeScript/JavaScript. - Deep knowledge of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). - Experience with serverless frameworks and API design for distributed systems. - Strong background in CI/CD, IaC (Terraform, Helm, Ansible), and automation. - Hands‑on expertise with monitoring/observability tools (Prometheus, Grafana, ELK, Datadog). - Familiarity with ML model lifecycle management and inference serving. - Understanding of enterprise security models and relevant compliance frameworks. - Excellent debugging, analytical, and communication skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - Relevant cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Engineer, Azure Solutions Architect, Certified Kubernetes Administrator) are a plus.

Paris, France

On site

07-01-2026

Company Name: Skywaves Rise
Job Title: Software Engineer
Job Description: **Job title:** Software Engineer – Forward Deployed Engineer **Role Summary** Design, deploy, secure, and maintain cloud‑based and machine‑learning (ML) systems in production environments. Manage end‑to‑end lifecycle of software and ML solutions, ensuring compliance with data protection regulations. **Expectations** - 10+ years of experience in software, systems, or ML development. - Proven track record of deploying and operating applications on major public clouds (AWS, Azure, GCP). - Expertise in container orchestration (Kubernetes) or serverless technologies. - Hands‑on experience deploying ML models into production and monitoring their performance. - Familiarity with compliance frameworks such as GDPR, SOC2, HIPAA. **Key Responsibilities** - Architect and implement scalable, secure cloud infrastructure for ML workloads. - Build CI/CD pipelines for application and model deployment. - Monitor and troubleshoot production systems, ensuring high availability and performance. - Collaborate with data science teams to operationalize ML models and set up model monitoring. - Enforce data protection and compliance standards across all deployments. - Provide technical guidance to onsite teams and remote stakeholders. **Required Skills** - Strong programming in Python, Go, or Java. - Cloud architecture and ops (AWS, Azure, GCP). - Containerization and orchestration (Docker, Kubernetes). - Serverless frameworks (AWS Lambda, Azure Functions, Cloud Run). - ML model serving (TensorFlow Serving, TorchServe, SageMaker, etc.). - Knowledge of network security, identity management, and encryption. - DevOps practices: CI/CD, infrastructure as code (Terraform, CloudFormation). - Experience with monitoring/observability tools (Prometheus, Grafana, ELK). - Understanding of GDPR, SOC2, HIPAA compliance requirements. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Engineering, or related field. - Relevant cloud certifications (AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect) preferred. - DevOps, Kubernetes, or ML operations certifications advantageous.

Paris, France

On site

Senior

07-01-2026

Company Name: Skywaves Rise
Job Title: Lead Product Manager
Job Description: Job title: Lead Product Manager Role Summary: Lead the end‑to‑end development, delivery, and adoption of Agentic AI solutions for enterprise customers. Own the product vision, strategy, and roadmap, translating business needs into actionable technical requirements, and driving cross‑functional execution with Engineering, Data Science, Architecture, and Design teams. Expactations: - Deliver on the product roadmap within agreed timelines and budget. - Achieve measurable adoption and value metrics post‑release. - Maintain clear alignment between business objectives and technical execution. Key Responsibilities: 1. Product Strategy & Roadmapping - Define vision, strategy, and long‑term roadmap for Agentic AI solutions. - Prioritize features balancing customer value, technical feasibility, and business impact. - Identify new AI capabilities to expand product portfolio. 2. Requirements Definition & Solution Shaping - Lead requirement‑gathering workshops with stakeholders and SMEs. - Create PRDs, user stories, acceptance criteria, and success metrics. - Ensure technical feasibility in collaboration with Architects, FDEs, and Data Science. 3. Cross‑Functional Leadership - Drive sprint planning, backlog grooming, and inter‑team coordination. - Serve as the primary decision point for product priorities and clarifications. 4. Stakeholder Management & Communication - Communicate roadmap progress, risks, dependencies, and milestones to leadership and external partners. - Facilitate demos, workshops, and alignment sessions. 5. Adoption, Change Management & Value Realization - Own adoption strategy and post‑release performance monitoring. - Track KPIs, usage metrics, and business outcomes; recommend data‑driven improvements. - Produce training, onboarding, and documentation materials. Required Skills: - 8–12+ years in Product Management or enterprise technology product roles. - Proven delivery of complex technical products, preferably in AI/ML, Cloud, or enterprise platforms. - Strong experience in writing BRDs/PRDs, user stories, and roadmap planning. - Product‑level understanding of AI/ML concepts, model lifecycle, and data pipelines. - Ability to translate business problems into technical solutions without coding. - Excellent communication, storytelling, and stakeholder management skills. - Leadership experience managing multi‑team, multi‑brand, or enterprise‑scale initiatives. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Business, or related field (Master’s preferred). - Relevant certifications (e.g., Certified Scrum Product Owner, Product Management certifications) are a plus.

Paris, France

On site

Senior

07-01-2026

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