ArchLynk stands at the vanguard of SAP Digital Supply Chain, Logistics, Business Planning, and Global Trade solutions, empowering businesses to build resilient, adaptive, and efficient supply chain ecosystems. As a trusted SAP Gold Partner, we have a proven track record of delivering best-in-class solutions and services, ensuring long-term success in an ever-evolving digital landscape. Headquartered in San Jose, California, we specialize in strategic planning, process optimization, and SAP solution deployment across the globe. Leveraging AI/ML-driven tools, seamless integrations, and custom developments, we help businesses navigate the complexities of global supply chain execution with cutting-edge innovation and expertise.
Technical Manager, AI/ML Operations & Deployment
About The Role
We are seeking a seasoned and highly technical
Senior Technical Manager (with 10+ years of experience) to focus on the operationalisation
, health, and performance of our existing and new AI/ML product portfolio. This role is focused on the execution layer: ensuring that models are deployed reliably, performing optimally in production, delivering the expected business value, and iterating quickly based on real-world data and user feedback.
Key Responsibilities
- MLOps & Deployment Ownership: Drive the operational roadmap for deploying, monitoring, and maintaining production-grade machine learning models. Ensure products meet strict uptime, latency, and scalability requirements.
- Product Health & Performance: Define and rigorously track operational Key Performance Indicators (KPIs) for deployed models, including model drift, data quality, inference latency, and business value realization.
- Iterative Optimization: Work closely with Data Science and Engineering teams to establish feedback loops from production data. Prioritize maintenance, bug fixes, and continuous minor improvements that enhance operational efficiency and model accuracy.
- User Experience & Documentation: Ensure the operational experience for internal users (e.g., engineering, support) is streamlined. Develop clear documentation and runbooks for product support and issue resolution.
- Feature Prioritization (Execution Focus): Manage the product backlog with a focus on immediate operational needs, technical debt reduction, and compliance requirements, balancing these with small-scale feature enhancements.
- Cross-Functional Coordination: Act as the primary interface between development, site reliability engineering (SRE), and business operations teams to manage product releases and maintenance schedules.
- ML Pipeline Orchestration Strategy: Define and own the strategy for ML Pipeline orchestration, ensuring the selection, implementation, and optimisation of platform tools or equivalent cloud native services to support automated training, testing and continuous Deployment
- Integrate Responsible AI & Governance: Integrate Responsible AI principles into the product lifecycle, including defining requirements for model explainability, fairness , and bias detection in production.
Skills And Attributes For Success
- 10+ years of progressive experience in product management or a highly relevant technical role (e.g., Technical Program Management, ML Engineering), with a minimum of 5 years focused on the operationalization and maintenance of AI/ML models in production.
- Deep understanding of MLOps principles, tools, and best practices (e.g., model serving, monitoring, continuous integration/delivery for ML).
- Proven ability to manage technical debt and operational risks associated with deployed AI/ML systems.
- Technical fluency: Comfortable interpreting detailed technical logs, understanding model performance reports, and translating operational issues into engineering requirements.
- Experience with cloud platforms (AWS, Azure, or GCP) for managing compute resources, data pipelines, and ML services.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Desired Skills
- Direct operational experience with AI/ML products integrated within the SAP landscape (e.g., monitoring model performance related to Finance, SCM, or CRM processes within SAP environments).
- Experience managing products in highly regulated industries or environments requiring strict compliance and audit trails.
- Certifications or extensive experience in Agile methodologies (Scrum/Kanban) focusing on rapid iteration cycles.
Additional Skills
- Data & Feature Engineering Decisions : Proven ability to collaborate with Data Scientists and ML Engineers on defining and managing a feature for ML models including versioning
- Microservices Architecture Experience: Proven experience designing, implementing and managing Microservices required for existing and future projects.
- Designing API architecture for the new projects based on the component and microservice requirements.
Why Join Our Team
Working at ArchLynk means joining a team fueled by collaboration, innovation, and teamwork. Our success is built on the talent, dedication, and passion of the people who drive our mission forward.
What We Offer
- Challenging projects with global organizations working on innovative technologies.
- Talented, passionate, intercultural, and multi-disciplinary teams - the best experts within the industry.
- Individual-centric career path and growth opportunities.
- Training and development opportunities.
- Flexibility and autonomy.
- Annual educational reimbursement for personal and professional development.
Our People and Culture
We are a global organization united by a shared purpose. While we celebrate our diversity and individuality, we thrive through collaboration, mutual respect, and unwavering support for one another. We seize every opportunity to exceed customer expectations and continually pursue excellence in all that we do.
At ArchLynk, we empower our team members with meaningful learning experiences, a flexible and inclusive environment, and the tools to grow and achieve excellence. If this resonates with the experience you seek, we invite you to join our team and embark on an inspiring journey with us.
We welcome applicants of all backgrounds and are committed to creating an inclusive environment. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, marital status, age, disability, veteran status, or any other protected status.
Privacy Statement
By applying to this role, you acknowledge that ArchLynk will process your personal data for recruitment purposes in accordance with applicable data protection laws, including the GDPR for candidates located in the EU/EEA/UK. Your information will be shared only with individuals directly involved in the hiring process and will be retained for no longer than necessary. For more information, please review our Data Privacy Policy
Join us and be part of a team that values innovation, inclusivity, and impact!
