Senior Agentic AI Product Manager (DSC|SN) at ST Engineering Marine Ltd

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Product Strategy, Roadmap Definition, AI Autonomy, Machine Learning, Data Science, Agile Facilitation, Product Owner, Stakeholder Management, User-Centered Design, KPI Definition, Data Governance, MLOps, CI/CD Pipelines, Python, PyTorch

Industry

Engineering Services

Description

ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange. Join our Cyber Team We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructure, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers. Role Overview: As a Senior Agentic AI Product Manager, you will lead the end-to-end lifecycle of advanced AI-driven products with a strong focus on autonomous, agentic systems. You will bridge business strategy, product vision, and technical execution to deliver scalable, impactful AI solutions that drive organizational success in complex environments. Responsibilities: Product Strategy & Leadership: Define and drive the strategic vision and roadmap for agentic AI products, ensuring alignment with overarching business goals and market needs. Lead cross-functional teams to prioritize features and capabilities that enhance AI autonomy, scalability, and user impact. Own product lifecycle management from ideation through launch, iteration, and optimization. AI & Data Science Product Oversight: Collaborate closely with AI researchers, data scientists, and engineers to translate cutting-edge AI advancements into viable, user-centric products. Ensure robust integration of autonomous AI agents, machine learning models, and analytics pipelines into product offerings. Oversee performance monitoring, continuous learning, and improvement of deployed AI systems. Stakeholder & Agile Management: Act as both product owner and agile facilitator, coordinating sprint planning, backlog grooming, and release management. Foster transparent communication between stakeholders, engineering teams, customers, and leadership to align expectations and deliverables. Use Agile methodologies and tools like Jira to streamline workflows and enhance team productivity. User-Centered Design & Business Impact: Analyze customer needs and market trends to shape product features that deliver measurable business value. Define success metrics, risk management strategies, and KPIs to track product performance and adoption. Advocate for data-driven decision-making and continuous feedback loops with end users. Team Leadership & Collaboration: Mentor and empower product teams to innovate and deliver high-quality AI solutions. Promote best practices in AI ethics, data governance, and product compliance. Cultivate a culture of experimentation, learning, and agile responsiveness. Technology & Infrastructure Partnership: Collaborate with infrastructure and MLOps teams to ensure scalable, secure, and efficient AI product deployments. Drive adoption of CI/CD pipelines, automated testing, and monitoring tools specific to AI product workflows. Ensure adherence to data privacy regulations, security standards, and industry best practices. Qualifications Experience: 7+ years of product management experience focused on AI, machine learning, or advanced data science products. Proven success managing complex AI/ML product launches in high-stakes industries such as cybersecurity, finance, or healthcare is highly desirable. Skills: Deep understanding of AI methodologies including autonomous agents, machine learning frameworks (e.g., PyTorch), and statistical modeling. Strong technical fluency in Python and data science architectures, with familiarity in DevOps and MLOps practices. Expertise in Agile product management with hands-on experience in tools like Jira and CI/CD pipelines. Leadership & Communication: Exceptional leadership abilities with a demonstrated track record as a Product Manager and Agile facilitator. Strong problem-solving, organizational, and interpersonal communication skills to lead cross-functional teams and engage stakeholders. Certifications: Certifications such as PMP, CSM, or equivalent Agile/Product Management credentials are a plus. Work location: Jurong East Find out more: https://www.stengg.com/cybersecurity ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

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Responsibilities

The Senior Agentic AI Product Manager will define the strategic vision and roadmap for advanced AI-driven products, focusing on autonomous, agentic systems, while leading cross-functional teams through the entire product lifecycle from ideation to optimization. This role involves close collaboration with technical teams to integrate cutting-edge AI advancements, machine learning models, and analytics pipelines into user-centric product offerings.