Product Owner

Technical Product Owner

We are looking for a highly organized and communicative Technical Product Owner/...

Location

United Kingdom

Salary:

Not provided

Spectrum Life

Expiration Date

Until further notice

Requirements

Proven experience as a Business Analyst, Product Owner, Delivery Manager, or in a similar role within a tech or AI-focused team
Strong experience in gathering and documenting requirements from diverse stakeholders
Proficiency with agile methodologies (Scrum/Kanban)
Expert-level knowledge of Jira (or equivalent) for project and delivery management, including structuring projects, creating workflows, and managing releases
Experience creating process flows, system diagrams, and other visual documentation using tools like LucidChart
Exceptional communication and interpersonal skills, with the ability to articulate complex ideas to both technical and non-technical audiences
A solid understanding of the software development lifecycle

Job Responsibility

Serve as the primary point of contact for internal and external stakeholders, including clients, to understand and document their needs
Lead stakeholder meetings and workshops to gather and refine project requirements and user stories
Create clear, comprehensive requirement documents, supported by diagrams (using LucidChart)
Translate business requirements and user stories into a well-defined product backlog with epics, user stories, and tasks
Own the team's Jira project, defining the ticket structure, workflows, and configuration to ensure maximum clarity and efficiency
Facilitate design sessions with engineers to agree on a technical approach, and collaborate with the architecture team to review and approve the final designs
Ensure the outcomes of these sessions are converted into actionable Jira tickets
Act as a delivery manager by overseeing the end-to-end lifecycle of features in Jira, from initial ticket creation to production release
Keep track of project progress against deliverables, and manage release schedules and versions within Jira
Create and distribute clear and comprehensive release notes for stakeholders after each deployment

What we offer

Full time permanent contract
Competitive salary (Dependent on experience)
In-office, remote or hybrid working options
25 days annual leave
24/7 EAP and a wide range of health and wellbeing supports
Extensive list of employee perks and benefits

Fulltime

The Data Adjustment Program GAI (Global Adjustment Inventory) Product Owner is a...

Location

Costa Rica , Heredia

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience in an enterprise-wide or cross-functional role and ability to influence senior business level ensuring shared ownership of the Company’s overall Adjustment Data strategy and plan execution
Strong understanding of the overall regulatory environment, Finance, Risk and Technology
Demonstrate strategic leadership in delivering business value through vision, governance, and executive management
Executive communication skills with an ability to describe complex topics in simple terms
Ability to understand and operate successfully in a complex, heavily matrixed corporate environment
Sense of urgency, passion for results and personal accountability for achievement
Ability to effectively drive and lead change in an organization with Citigroup’s size, scale, and complexity
Strong executive presence
confident in presenting a balanced view to key stakeholders and senior management
Deep knowledge of Risk & Finance data, along with an understanding of regulatory, compliance and risk management

Job Responsibility

Support and deliver the Enterprise Data Adjustment Program Data Repository
Enhance the Enterprise Adjustment suite for reporting, analytics and AI capabilities including data dashboards, executive dashboards, regulatory reports, risk reports
Provide strategic and operational direction and support to program and project delivery, ensuring alignment to strategic objectives, leading relationships with key stakeholders across multiple organizations and functions
Oversee and maintain regulatory compliance for adjustment data across the enterprise with key focus in the Risk & Finance organization, assessing data governance needs, partnering with the business and other stakeholders
Drive data quality, regulatory responses, risk management, and privacy to ensure data accuracy, security, and adherence to regulations
Drive adjustment reporting stakeholder engagement across the enterprise
Develop and build strong working partnerships and strategic relationships with key partners across the business and technology in aligning implementation and operational strategies

Fulltime

AI Product Owner

We’re looking for an AI Product Owner to shape, lead, and deliver AI-enabled sol...

Location

United Kingdom

Salary:

Not provided

Inference Group

Expiration Date

Until further notice

Requirements

Experience as a Product Owner, Business Analyst, Delivery Lead, or Project Manager on technology-enabled projects
Proven experience delivering data, analytics, or AI-driven initiatives into live, operational environments
A strong understanding of AI concepts (e.g. machine learning, automation, large language models). Enough to confidently guide delivery and challenge assumptions
Excellent stakeholder engagement skills, with the ability to align business, technical, and compliance perspectives
A structured, thoughtful approach to problem-solving and project delivery
A collaborative mindset and the empathy required to succeed in a consultancy environment
Must already have the right to work in the UK

Job Responsibility

Own the vision, scope, and roadmap for AI-driven products and initiatives
Translate business challenges into clear product requirements, priorities, and user stories
Lead AI projects from early discovery through to delivery, ensuring solutions are practical, scalable, and aligned to business goals
Balance innovation with execution — helping teams move from concepts and experimentation into operational, production-ready solutions
Define and track success measures to ensure delivered solutions create real, measurable value
Act as the primary product interface between customers and delivery teams
Facilitate discovery sessions and workshops to deeply understand business needs, constraints, and opportunities for AI
Communicate complex AI concepts clearly to both technical and non-technical stakeholders
Build trusted relationships with customers by managing expectations, priorities, and trade-offs effectively
Work closely with AI Engineers, Data Scientists, and analysts to shape solution design and delivery approach

What we offer

Hands-on experience, mentorship, and access to ongoing learning, certifications, and emerging technology

Fulltime

Senior Manager, Data Science and AI Technical Product Owner

Do you want to make a global impact on patient health? Do you thrive in a fast-p...

Location

Mexico; Costa Rica , Mexico City; San Jose

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans
actively listens with others’ frame of reference in mind
appropriately shares information with team
favorably influences people without direct authority
Clearly articulates scope and deliverables of projects

Job Responsibility

Partner with other leaders to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with Commercial Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, AI reusable components)
Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for data science and AI products, including data science workflows, AI based software solutions, and AI components
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized data science and AI products
Drive adoption of products through user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for data science and AI products (e.g., value proposition, catalog, and adoption metrics)

Fulltime

Product Owner

The Data & AI Product Owner will be responsible for defining and driving the pro...

Location

United Kingdom , Bristol

Salary:

Not provided

Tekever

Expiration Date

Until further notice

Requirements

Bachelors degree in Computer Science, Data Science, Engineering or a related field (Masters degree is a plus)
Proven experience (3+ years) as a Product Owner, Product Manager, or similar role in the tech industry, with a focus on data and artificial intelligence products
Strong understanding of AI and data technologies, including machine learning, big data and data analytics. Strong understanding of AI/ML concepts, data analytics and data engineering
Experience with AI platforms, tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
Proven leadership skills with the ability to inspire and guide cross-functional teams
Demonstrated ability to manage and prioritize multiple projects in a fast-paced, dynamic environment
Experience with Agile methodologies and tools (e.g., Scrum, Jira)
Strong analytical and problem-solving skills, with a data-driven approach to decision-making
Ability to translate complex technical concepts into clear, actionable plans and requirements

Job Responsibility

Product Strategy and Vision: Develop and communicate a clear product vision and strategy for AI-driven solutions, aligned with the company's overall objectives. Define and communicate the Product vision, strategy and roadmap for the AI and data products in your portfolio
Roadmap Planning: Create and maintain a detailed product roadmap that outlines key milestones, deliverables and timelines
Stakeholder Management: Collaborate with internal and external stakeholders, including data scientists, engineers, business analysts and customers, to gather requirements, prioritize features and ensure alignment
Product Development: Lead the product development lifecycle, from ideation and design to implementation, testing and release. Ensure that AI models and data solutions meet high standards of quality, scalability and performance
Work closely with data scientists, engineers, hardware teams and other team members to deliver innovative AI and data solutions
Manage the product backlog, including writing clear and actionable user stories and acceptance criteria
Prioritize and sequence the backlog according to business value and customer needs
Lead sprint planning and reviews
Performance Metrics: Define and track key performance indicators (KPIs) to measure product success. Utilize data-driven insights to make informed decisions and drive continuous improvement
Monitor product performance and gather feedback to inform future development

What we offer

The opportunity to work in a leading innovative tech company
A collaborative and dynamic work environment
Professional growth opportunities in a globally expanding team
Competitive benefits and a workplace where your ideas and input matter
Flexible work arrangements
Salary compatible with the level of proven experience

Fulltime

AI Technical Product Owner

As a AI Technical Product Owner, you will own the roadmap for a core platform th...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Proven experience as a Product Owner or Product Manager or Technical Lead on API based or developer-facing products
Hands-on experience in Agile delivery, including story mapping and backlog refinement
An understanding of software architectures and technical concepts
Comfortable defining non-functional requirements around performance, security and scalability
Exceptional skills in facilitating effective communication, including writing product documentation for end users
The maturity to take initiative, solve problems, and keep projects moving in a complex environment

Job Responsibility

API user understanding: Build a deep understanding of API users and consumers, defining key user journeys and integration patterns
Enable AI capabilities: Work with data scientists to deliver services that support delivery of AI models and features
Product roadmap: Work with the product manager to define a roadmap aligned with business goals, making trade offs across new features, performance, scalability, reliability and speed of delivery
Delivery leadership: Work with the engineering team to ensure a common understanding of user needs and goals, removing blockers and enabling delivery of valuable increments
Facilitate Agile ceremonies such as refinement, grooming and sprint planning
Requirements engineering: Translate needs into clear, testable requirements
Write strong epics, user stories and acceptance criteria
Quality, reliability and operational excellence: Define and monitor product metrics, ensure non-functional requirements are explicit and delivered
Documentation & knowledge sharing: Maintain clear structured product documentation for internal and external users and stakeholders

What we offer

enhanced pension
life assurance
income protection
private healthcare
Remote working - café, bedroom, beach - wherever works
Truly flexible working hours - school pick up, volunteering, gym
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus - when Satalia does well, we all do well
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person

Fulltime

Product Owner - AI Native

We are seeking an experienced Product Owner to lead delivery within an AI-native...

Location

United States , Plano

Salary:

Not provided

ISHIR

Expiration Date

Until further notice

Requirements

6+ years as a Product Owner or Product Manager within a software product company — not purely a services or project management background
Demonstrated ability to own a backlog end-to-end without BA support
Strong client-facing presence — comfortable presenting to and aligning with senior technology and business stakeholders
Experience working in fast-paced, iterative agile environments with two-week sprint cadences
Active use of AI-assisted planning and documentation tools — Notion AI, Linear AI, or equivalent
Comfortable using AI for story generation, acceptance criteria drafting, and sprint documentation as a standard workflow, not an experiment

Job Responsibility

Translate client business outcomes and KPIs into a structured, prioritised backlog with clear acceptance criteria
Lead sprint ceremonies — planning, standups, reviews, and retrospectives — with minimal oversight
Work directly with client SMEs to gather domain context, validate priorities, and communicate progress at a senior level
Ensure every sprint delivers shippable, production-ready output — not prototypes or work-in-progress
Document and transfer AI-native delivery practices to the client organisation as part of the engagement mandate

Fulltime

AI Solutions Architect

We are looking for a highly skilled AI Architect with deep expertise in Generati...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

Minimum 10 years of experience in ML/AI solution architecture
Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
Strong experience in ML engineering, data pipelines, and scalable model APIs
Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
Proven track record of architecting POC, MVP, and production-grade AI products
Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
Excellent communication skills for client presentations and internal leadership discussions

Job Responsibility

Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
Optimize AI workloads across heterogeneous compute environments
Lead AI architecture across POC → MVP → GA → production-scale phases

What we offer

Competitive base + commission
Fast growth into leadership roles

Fulltime

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Product Owner – AI products & projects

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