Product Owner

The Product Owner is responsible for understanding business problems identifying opportunities for improvement and translating those needs into practical software solutions that create measurable value for Performcb our internal teams advertisers and affiliate partners.

This role acts as a bridge between business stakeholders users design engineering data and leadership. The Product Owner will gather context analyze workflows define requirements prioritize development work and help ensure that the final product solves the right problem in a simple effective and scalable way.

As Performcb continues to expand its use of AI automation and data-driven decision-making this role requires someone who is comfortable using AI tools to move faster. The ideal candidate can use AI to support research documentation prototyping data exploration workflow design solution development and product validation.

This role will also help identify opportunities where AI agents automation and intelligent workflows can reduce manual work improve decision-making increase consistency and help teams operate more efficiently.

This is not a purely administrative backlog-management role. The ideal candidate is a hands-on problem solver who can understand how the business operates identify where software can improve a process and work with engineering to turn those ideas into useful products and features.

• Understand business problems user workflows operational pain points and company goals.

• Partner with the VP of Product business stakeholders and technology leaders to define product priorities aligned with company objectives.

• Work with internal teams advertisers and affiliate partners to understand needs gather feedback and identify opportunities for improvement.

• Analyze workflows and business processes to determine where software automation AI or better data visibility can create value.

• Translate ambiguous business problems into clear product opportunities workflows requirements and success measures.

• Evaluate product ideas based on business value user impact technical feasibility available data and expected ROI.

• Identify opportunities to improve efficiency automate manual work increase revenue improve partner engagement and enhance campaign performance.

• Translate business needs into practical software solutions that are simple scalable and aligned with user needs.

• Create clear workflows user stories acceptance criteria business rules edge cases and release requirements.

• Think through how a feature should work from end to end including user experience data needs system behavior operational impact and post-launch measurement.

• Break large product ideas into smaller manageable increments that can be delivered iteratively.

• Collaborate with engineering design QA and data teams to clarify requirements resolve open questions and make practical trade-off decisions.

• Ensure that proposed solutions solve the underlying business problem not just the surface-level request.

• Use AI tools to accelerate product discovery research user-story creation workflow mapping documentation analysis and requirements development.

• Create lightweight prototypes mockups workflow demos or proof-of-concepts using tools such as Figma ChatGPT Claude Cursor Lovable Bolt Replit no-code tools low-code tools or similar platforms.

• Identify business workflows where AI agents automation or guided decision-support tools could reduce manual effort improve speed increase consistency or improve business outcomes.

• Help define the role of human oversight in AI-powered workflows including when an AI system can act automatically when it should recommend an action and when a human should review before execution.

• Work with engineering and data teams to design practical AI-enabled workflows including inputs outputs permissions guardrails escalation paths and success metrics.

• Help define how AI-powered features should behave including expected outputs human review points feedback loops confidence thresholds edge cases and quality measurements.

• Understand the limitations of AI systems including false positives hallucinations inconsistent outputs model drift data quality issues and the need for testing validation and ongoing monitoring.

• Stay curious about new AI tools and identify practical ways they can improve product development internal workflows and business operations.

• Use data to understand problems validate assumptions prioritize opportunities and evaluate product performance after launch.

• Define clear KPIs and success criteria for product initiatives before development begins.

• Use dashboards spreadsheets reports AI-assisted analysis and available data sources to investigate trends and support product decisions.

• Partner with data engineering and business teams to ensure required tracking reporting and measurement are in place.

• Analyze product usage operational metrics campaign performance partner behavior funnel performance and business outcomes to identify opportunities for improvement.

• Present findings and recommendations in a clear concise way for both technical and non-technical audiences.

• Understand what questions need to be answered with data even when someone else is helping pull the raw data.

• Own and manage the product backlog ensuring priorities reflect business value urgency user impact and strategic alignment.

• Write clear user stories acceptance criteria business rules workflows and edge cases.

• Ensure requirements are well-defined testable and ready for development.

• Collaborate with engineering to clarify questions before and during development.

• Balance stakeholder requests with roadmap priorities business impact and development capacity.

• Maintain clear documentation so stakeholders and development teams understand what is being built why it matters and how success will be measured.

• Participate in backlog refinement sprint planning demos retrospectives and release planning.

• Serve as a key point of contact for product-related questions decisions updates and trade-offs.

• Collaborate with internal teams including Product Engineering Marketing Partner Development Marketer Development Account Management Compliance Finance Operations and Data.

• Translate complex technical data or workflow concepts into clear business language.

• Communicate priorities timelines scope changes risks and product decisions transparently.

• Facilitate alignment between stakeholders when priorities conflict or requirements are unclear.

• Gather feedback from users and stakeholders before and after launch to guide future improvements.

• Partner with design engineering QA data and business stakeholders to deliver high-quality product releases.

• Review and validate product deliverables against requirements and acceptance criteria before release.

• Test features from the user and business perspective to ensure they solve the intended problem.

• Support go-to-market training documentation rollout and internal adoption activities when needed.

• Monitor product performance after launch and identify opportunities for iteration and improvement.

• Ensure product releases are practical useful measurable and aligned with the business outcome they were designed to support.

• Use feedback data and product performance to continuously improve features and workflows.

• Help improve product processes documentation standards discovery practices and agile execution.

• Stay current on product management AI automation adtech affiliate marketing and performance marketing trends.

• Promote a culture of experimentation measurement practical innovation and continuous improvement.

• Look for ways to make both the product and the product-development process faster smarter and more effective.

• Experience as a Product Owner Product Manager Business Analyst Solutions Analyst or similar role. We are open to candidates with different experience levels if they demonstrate strong product thinking business understanding and the ability to turn problems into practical software solutions.

• Strong ability to understand business problems user workflows operational pain points and company goals.

• Proven ability to translate business needs into clear product requirements workflows user stories acceptance criteria and development priorities.

• Comfortable using AI tools such as ChatGPT Claude Gemini Cursor or similar tools to move faster in product discovery research documentation prototyping analysis and solution design.

• Ability to use AI tools dashboards spreadsheets reports and available data to investigate problems identify trends validate assumptions and support product decisions.

• Strong analytical mindset with the ability to ask the right questions interpret data and connect product decisions to business outcomes.

• Ability to create lightweight prototypes mockups workflow diagrams or demos using tools such as Figma AI prototyping tools no-code/low-code platforms or clear written documentation.

• Strong communication skills including the ability to explain business problems proposed solutions trade-offs and requirements to both technical and non-technical audiences.

• Strong organizational skills and the ability to manage priorities across stakeholders engineering design and business teams.

• Experience working with Agile Scrum Kanban or similar product development processes.

• Proficiency with Jira or similar product/project management tools.

• Familiarity with Figma or similar design/prototyping tools is a plus.

• Bachelors degree in Business Computer Science Marketing Data Analytics or a related field preferred. Equivalent practical experience will also be considered.

• Experience in adtech martech affiliate marketing performance marketing lead generation mobile app marketing SaaS internal tools workflow automation or marketplace platforms.

• Experience working on AI-enabled data-driven automation recommendation fraud detection anomaly detection optimization or decision-support products.

• Familiarity with AI agents workflow automation or agentic product concepts including how AI systems can assist with research recommendations task execution monitoring and follow-up actions.

• Experience using AI tools as part of daily work not just conceptual familiarity with AI.

• Experience with experimentation A/B testing cohort analysis funnel analysis or ROI measurement.

• Experience working with internal tools or operational workflows used by sales account management finance compliance marketing or operations teams.

• Basic technical fluency including understanding APIs databases event tracking integrations data flows and software development trade-offs.

• Experience working with dashboards BI tools spreadsheets reports or SQL-generated outputs.

• Curiosity and hands-on willingness to test new AI tools build prototypes and find ways to make product development faster and better.

The ideal candidate is a practical business-minded Product Owner who can operate between business users engineering data and leadership.

They are strong at understanding how a business process works identifying where the pain points are and designing software solutions that make the process better. They do not simply collect requests or manage tickets. They ask why the problem exists who it impacts what outcome matters what data is available and what the simplest effective solution should be.

They are comfortable using AI tools in their daily work to move faster and improve the quality of their thinking documentation prototypes and analysis. They are curious about AI agents and automation but also understand that AI-powered workflows need human oversight guardrails clear success metrics and ongoing validation.

They should be especially strong at asking:

• What business problem are we solving

• Who is affected by this problem

• What does the current workflow look like

• What would a better software solution look like

• What data do we need to make a good decision

• What can we automate

• What can AI help us do better

• Where do we need human review or approval

• How will we measure whether this worked

• What is the simplest version we can build to create value quickly

This person should be hands-on curious organized analytical and comfortable working in a fast-moving environment where technology AI automation and data are central to how the business grows.

The above job description is not intended to be an all-inclusive list of duties and responsibilities. The company reserves the right to assign or reassign duties and responsibilities as business needs require.