LP
AI Product Owner – Contact Center AI
LinkedIn Recruiter Post
A large Telco seeks an AI Product Owner to drive Contact Center AI services, bridging business strategy and technical execution.
About the role
- Technical Product Manager at ShyftLabs leading complex AI and data initiatives with a focus on data management and orchestration. Collaborating with engineering teams for scalable solutions.
Responsibilities
- Own and drive the end-to-end lifecycle of AI- and data-intensive technical initiatives across multiple products.
- Define and evolve data management strategy, including data modeling standards, pipeline requirements, governance, lineage, and quality frameworks.
- Lead product strategy for agentic systems, including orchestration layers, tool usage patterns, memory/context management, guardrails, and fallback strategies.
- Establish and operationalize evaluation frameworks for AI products (LLM evals, benchmarking, human-in-the-loop review, automated scoring, drift monitoring).
- Partner with engineering to design scalable architectures that support data ingestion, transformation, context retrieval, and multi-agent coordination.
- Translate business objectives into clear technical specifications spanning APIs, data contracts, orchestration logic, and observability requirements.
- Define metrics for success across system performance, data quality, model reliability, latency, cost optimization, and user outcomes.
- Identify and mitigate risks across model behavior, data integrity, security, and compliance.
- Oversee validation processes for AI systems, including regression testing, prompt versioning, evaluation harnesses, and continuous improvement loops.
- Act as a bridge between product, data engineering, ML engineering, and platform teams to ensure technical alignment and delivery excellence.
- Communicate roadmap progress, architectural trade-offs, and performance insights to executive stakeholders with clarity and rigor.
- Foster a culture of accountability, structured experimentation, and high technical standards across teams.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
- 2–5 years of experience in technical product management, preferably in AI, ML, or data platform environments.
- Strong understanding of data architecture and data management principles, including data modeling, governance, lineage, quality monitoring, and cloud data platforms.
- Demonstrated experience working on AI-powered or agent-based products, including orchestration patterns and evaluation methodologies.
- Familiarity with LLM concepts such as context windows, retrieval augmentation (RAG), prompt orchestration, tool calling, memory management, and guardrails.
- Experience defining and operationalizing evaluation frameworks (offline/online testing, experimentation, quality metrics, performance benchmarking).
- Deep understanding of cloud computing platforms, distributed systems, APIs, and integration patterns.
- Hands-on exposure to Agile methodologies, DevOps practices, and CI/CD pipelines.
- Strong analytical thinking, structured problem-solving, and data-driven decision-making skills.
- Excellent communication and stakeholder management abilities, including executive-level reporting.
Benefits
- Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
- Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Lead Technical Program Manager overseeing large - scale cloud transformation and agile implementations. Collaborate with Fortune 500 clients and a talented team in a dynamic environment.
Technical Product Manager responsible for platform vision and architecture, enabling external partner integrations. Collaborates with engineering and stakeholders while fostering a startup environment.
Technical Product Owner handling platform delivery at Tecsys, a supply chain solutions provider. Focusing on deployment automation and product lifecycle management within a hybrid work environment.
Technical Product Manager responsible for managing product execution and delivery in AdTech. Leading technical specifications and coordination across engineering and media partners for Environics Analytics.
Principal Technical Product Manager at DataStealth overseeing AI - driven Data Security and Posture Management. Responsible for strategy, product execution, and technical delivery in a hybrid work environment.
Technical Product Manager at CruxOCM focusing on advanced software integration for the energy sector. Leading project delivery and collaboration with customer control rooms in the oil & gas industry.
Architecting a new partner ecosystem for TELUS in private 5G networks, focusing on strategic partnerships. Engaging with key industries like Oil & Gas, Manufacturing, and Logistics for mutual growth.
Technical Product Owner focusing on engine health monitoring for CAMP Systems. Investigating performance trends, collaborating with engineering, and using AI tools for product development in aviation.
Senior Technical Product Manager leading Bot Detection offering strategy at Fingerprint. Owns product execution, roadmap, and commercial outcomes in an AI - automated world.