Technical Program Manager - Artificial Intelligence & Machine Learning
Everseen
- Engineering - Project Management
- Full Time Permanent
- R&D
Assessed from original listing evidence
The role
Job description
The Role
As a Technical Program Manager (TPM) in AI, you will operate at the critical intersection of cutting-edge research, advanced software engineering, and business strategy. You will act as the master orchestrator for complex AI programs, translating highly experimental modelling concepts (such as Vision-Language Models, Large Language Models, and Agentic AI workflows) into robust, scalable, and production-ready enterprise solutions.
Your primary mission is to drive clarity from chaos, leading the R&D initiatives through the technology maturity gates targeting successful derisking and handover of the innovation to the product engineering team. You will engage various cross-functional engineering, research, and operations teams evolving the current processes and methodologies for best performance.
What you’ll do
- Drive End-to-End Innovation: Plan, execute and deliver the multi-quarter roadmap for core AI innovation.
- Integrations & Release Management: Manage product release cycles, coordinating complex rollouts across hardware, software, operations, and quality assurance teams without disrupting critical production flows.
- De-Risk Innovation: Track and evolve processes around defining rigorous, structured criteria to evaluate and integrate emerging AI technologies, ensuring 90% of technical and deployment risks are eliminated before handing models off to engineering pipelines.
- Proactive Mitigation: Facilitate a proactive approach to risk mitigation and technical bottlenecks and dependencies, cross team and company horizons.
- Bridges the Gap: Serve as the translator between highly specialized AI Researchers/Data Scientists and all the other technical teams cross company horizons.
- Governance & Compliance: Partner with Legal, Security, and Compliance stakeholders to observe responsible AI practices and data privacy standards.
- Resource Optimization: Strategically plan and track compute resource allocation, budget utilization, and overall execution velocity.
R&D Initiative Execution & Innovation Lifecycle
Risk Management & Innovation
Stakeholder Alignment & Cross-Functional Coordination
Collaborating with
- Product Team – Product Managers and Business Analysts
- Research Team – Research Managers
- Development Team – Development, Testing, DevOps Managers
- Operations (Customer Deployment) – Operations Managers and Support Engineers
- ICT – ICT Managers and Support Engineers
- Everseen Leadership
Profile and Skills
- Systems & AI Literacy: Conceptual and practical understanding of machine learning lifecycles and neural network architectures.
- Infrastructure Knowledge: Familiarity with cloud and edge computing, distributed training, GPU orchestrations (i.e. Kubernetes), and model deployment frameworks.
- Analytical Mindset: Proficiency in analysing operational workflows, designing tracking dashboards (e.g., Easy BI, JIRA, Big Picture, Tempo), and conducting data-driven post-mortems.
- Complexity Solver: 5+ years of experience leading complex, AI, cross-functional technical programs from zero-to-one in a fast-paced environment, waterfall and agility frameworks.
- Agile & Beyond: Mastery of Agile/Scrum and modern hybrid project management frameworks, using AI automation tools to minimize manual coordination and administrative overhead.
- Influence Without Authority: Exceptional communication skills with a proven track record of aligning highly technical teams and executive-level stakeholders toward shared deliverables. Highly capable to drive consensus and manage disagreements within the decision-making process.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
- Relevant industry certifications such as PMP, PMI-ACP or specialized AI project leadership credentials.
Technical Background
Program & Leadership Capabilities
Education & Certifications (Preferred)
Our Culture
Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions. We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact. Our Values We OWN THE OUTCOME. No silos, no excuses. We ARE CUSTOMER-FIRST. They guide our decisions. We ARE ONE TEAM. Debate, decide, commit. We MOVE WITH PACE. With simplicity and quality. We RAISE THE BAR. On talent, innovation and impact.Our Commitment
Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion. Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.Keep exploring
Related remote jobs
Software Development Engineer III (ML Platform)
Everseen
Machine LearningApplied AI Engineer II
Everseen
Machine LearningTechnical Instructional Designer (AI Programmes)
Multiverse
Machine LearningAI Platform Engineer (f/m/d)
Munich Electrification
Machine LearningAI Systems Analyst
Perk
Machine Learning