Product Owner 15h Left
4 weeks ago
About Us
Successive Digital is a global leader in full-service software development, serving clients worldwide.With a commitment to excellence and technical proficiency, Successive delivers exceptional digital solutions that empower businesses to thrive in the digital age. We hold expertise in the realm of web and mobile applications powered by Cloud, Data & AI, helping every business meet its unique needs and objectives.
Our Expertise Includes
Consulting: We create competitive business and operations transformation strategies to help companies stay ahead of the digital curve.
Cloud: We help businesses harness the advantage of digital and innovation with cohesive cloud services, including enterprise modernization and cloud-native solutions.
CMS: We empower enterprise transformation with advanced technologies and methodologies, including headless solutions.
Creative: We create brand stories by focusing on customer-centric design and best practices, allowing intuitive navigation and higher conversion rates.
Commerce: We help with digitization, transformation, and supply chain reconfiguration to change
the retail landscape by developing winning retail strategies that help businesses set and execute their strategy with processes and technology that scale as their eCommerce scale.
Product Engineering: We help you deliver better customer experience and business outcomes by helping them customize
their applications. Our team blends deep industry and technical expertise in product engineering that creates impact and increases operational efficiency.
Industries We Serve
- Consumer Goods
- Media & Entertainment
- Government & Public Sector
- Retail & Commerce
- Agriculture
- Manufacturing
- Travel & Hospitality
- Healthcare & Lifesciences
- Chemical, Oil & Gas
- Transportation & Logistics
- Aerospace & Defence
- Automotive & Mobility
- Banking & Finance
Who Are We Looking For
Role: Product Owner
Qualification: BCA / B-Tech (IT , CS , EC) / MCA
Experience: 4 Years
Position Overview We are seeking a forward-thinking Product Owner with 4 years of experience to lead AI/ML product initiatives. This role demands a product-minded professional with a strong understanding of machine learning lifecycles, data-centric product development, and a proven ability to work cross-functionally. As a Product Owner, you will define the strategy and roadmap for intelligent solutions that solve real business problems and drive value through data and automation.
Key Responsibilities
- Market Research and Competitive Analysis
Conduct in-depth market research to identify trends, user needs, and opportunities in the AI/ML space.
Perform competitive analysis to benchmark against existing solutions and identify differentiation strategies.
Use insights from market research to inform product strategy, feature prioritization, and go-to-market planning.
- Product Vision and Strategy
Define and communicate a clear product vision for AI/ML-powered solutions aligned with customer needs and business objectives.
Develop and maintain a product roadmap that balances short-term delivery and longterm innovation.
Partner with Data Scientists, ML Engineers, and Business Leaders to shape the product strategy for data-driven initiatives.
- Discovery and Solutioning
Drive product discovery using a data-first approach: analyze user behavior, explore market trends, and assess algorithm effectiveness.
Lead problem-solving workshops and ideation sessions to uncover high-impact AI/ML use cases.
Validate concepts through rapid prototyping and proof-of-value experiments.
- Backlog Management
Own and maintain a prioritized backlog focused on ML model development, data ingestion pipelines, and end-user features powered by AI.
Collaborate with engineering and data science teams to break down technical tasks, clarify requirements, and ensure consistent delivery.
Write detailed user stories, clearly articulating model behaviors, success metrics, and edge case handling.
- Agile Project Execution
Lead agile ceremonies including sprint planning, reviews, and retrospectives, ensuring alignment between business and technical teams.
Coordinate across cross-functional teams (Data Science, Engineering, Design, QA) to deliver high-quality, production-ready AI features.
Mitigate delivery risks by identifying dependencies, managing scope, and maintaining technical feasibility awareness.
- Stakeholder Engagement
Serve as the voice of the customer and business for all AI/ML initiatives, translating requirements into actionable work items.
Present roadmaps, updates, and outcomes to internal stakeholders, ensuring transparency and alignment.
Collaborate with compliance, legal, and ethical AI teams to ensure responsible deployment of intelligent systems.
- Monitoring and Optimization
Define KPIs and success metrics for AI features such as precision, recall, latency, user engagement, or automation rate.
Collaborate with data teams to monitor model performance and user interaction to drive continuous improvement.
Oversee A/B testing and post-launch analysis to validate hypotheses and identify optimization opportunities.
Experience
Qualifications and Skills
4 years in product management or product ownership, with at least 3+ years focused on AI/ML or data products.
Proven success in launching and scaling AI-powered or data-driven digital products.
Product Mindset
Customer-centric with a strong focus on solving real-world problems through innovation.
Ability to balance user experience, business value, and technical feasibility in product decisions.
Technical Acumen
Strong understanding of AI/ML concepts (model training, evaluation, drift, inference).
Comfortable working with Data Scientists and Engineers to define requirements and prioritize work.
Agile & Delivery Skills
Deep familiarity with agile methodologies (Scrum/Kanban) and continuous delivery.
Experience managing iterative development cycles and facilitating cross-functional collaboration.
Soft Skills
Strong communication and storytelling skills to articulate complex AI concepts in simple terms.
Excellent stakeholder management and a proactive approach to driving consensus and alignment.
Preferred Qualifications
Experience working with ML platforms (e.g., AWS SageMaker, Vertex AI, Azure ML).
Familiarity with model monitoring, feature stores, or MLOps best practices.
Certifications in Product Management, Agile, or Data Science (e.g., CSPO, Pragmatic PM, or Coursera AI/ML credentials).
Experience in regulated domains like finance, healthcare, or insurance.
Your Life At Successive
- Successive has a culture of diverse, global teams who have a passion for collaboration and client service. We challenge, inspire, and develop each other, which empowers us to own our destinies and our careers.
- We extend our support in mentoring, and on-the-job development which helps you to achieve career success.
- We provide onsite opportunities as well (Our Global offices).
- We provide comprehensive benefits including Maternity and Paternity Leaves benefits and other paid leaves.
- We allow our talent to work on multiple technologies.
- We provide a Professional Development Program which helps you to develop your technical and behavioral skills and competencies.
- We ensure On-Time salaries which are above or at par with market standards.
- We have a well-defined Reward & Recognition process.
- We love fun and have team outings, parties, sports, and cultural events around the year.
Follow Us On
Website: https://successive.tech/
Facebook: https://www.facebook.com/Successivetech/
LinkedIn: https://www.linkedin.com/company/successivetech
You may write us or share your applications at: [Confidential Information]
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