Tezo
Website:
tezo.com
Job details:
Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.
Job Title: Product Manager - US Taxation
About the Job
As a Senior Product Manager, you will own product or domain-level outcomes for internal products or a complex product area. You will define the near- to mid-term product direction, translate business objectives into outcome-driven roadmaps, and ensure delivery of capabilities that create measurable business value.Operating with a high degree of autonomy, you will balance tradeoffs across scope, sequencing, value, and delivery constraints, partner closely with senior stakeholders, and drive alignment across cross functional teams within a global delivery model. You will be empowered by our collaborative culture and commitment to excellence to shape the future of our internal products, fostering agility and innovation in a rapidly evolving professional services landscape.
Key Responsibilities
- Owning and maintaining Multi quarter product roadmaps for assigned products or a complex product area, aligning to business objectives and user needs
- Defining product direction and outcomes within an established domain strategy, ensuring work is sequenced to maximize value realization
- Leading discovery to understand user workflows, pain points, and opportunities, and translating insights into clear product outcomes
- Making scope, sequencing, and tradeoff decisions to balance value, risk, dependencies, and delivery constraints
- Owning backlog health across initiatives, ensuring epics, features, and stories are clearly articulated, outcome-driven, and delivery-ready
- Partnering with Engineering, Design, Data, Product Operations, and Product Success to deliver high-quality solutions and ensure adoption and value realization
- Identifying and managing product risks, dependencies, and constraints throughout delivery, escalating appropriately and driving mitigation
- Defining success metrics and KPIs, and using product performance data and user feedback to inform prioritization and continuous improvement
- Driving consistency, alignment, and reuse with Product Managers across pods to reduce duplication and scale effective practices
- Mentoring and coaching Product Managers and Associate Product Managers to build product capability and maturity.
- Communicating product strategy, progress, risks, and performance to senior stakeholders with clear rationale and recommendations.
- Staying current with emerging technologies (including AI, automation, and analytics) to identify applicable opportunities within your product area.
- Other duties as assigned Additional Responsibilities for Specialized Product Roles (as applicable) AI & Automation Specialization.
- Owning delivery of AI-enabled or automation capabilities across one or more products or workflows within your product area
- Defining AI use cases, success metrics, and acceptance criteria in partnership with engineering, data, and business stakeholders
- Assessing feasibility, risks, controls, and expected business impact for automation opportunities, and incorporating results into roadmap sequencing
- Ensuring AI- enabled features align with firm standards, governance, and responsible AI guidelines
- Monitoring performance, adoption, and quality of AI-enabled features to drive continuous improvement Data Product Specialization
- Owning delivery of data products or analytics capabilities that enable decision-making and operational workflows within your product area.
- Demonstrating working knowledge of machine learning concepts, including LLMs, NLP techniques, and common model types, sufficient to understand model behavior, limitations, and tradeoffs when defining product requirements and roadmap priorities.
- Partnering closely with Data Team and Data Engineers throughout the model lifecycle, including understanding how models are built, evaluated, deployed, and regression tested, and incorporating model performance and quality considerations into product decisions.
- Defining data requirements, key metrics, and quality expectations in partnership with data and engineering teams.
- Translating business questions into scalable data product initiatives, features, and delivery ready backlog items.
- Prioritizing data initiatives based on business value, dependencies, and data readiness, and sequencing work to support value realization.
- Using analytics and insights to guide product decisions and measure outcomes
Qualifications
- Bachelors degree in a relevant field (MBA preferred but not required)
- Proven track record of launching AI products in B2B or enterprise environments, Building and scale AI/ML products
- Use of AI tools for development to prototype
- 8 to12 years of product management experience or closely related experience, preferably ina B2B or professional services environment
- Proven experience owning products or complex product areas end-to-end, from strategy execution through delivery and optimization
- Strong understanding of Agile methodologies and product management best practices, including roadmap planning and backlog management.
- Demonstrated ability to operate independently in complex, multi-stakeholder environments and influence without direct authority.
- Experience defining success metrics and using data to drive prioritization and continuous improvement.
- Strong communication and stakeholder management skills, including executive-ready updates and recommendations.
- Experience working with cross functional teams and managing multiple priorities simultaneously.
- Familiarity with tools such as Azure DevOps, ServiceNow, or similar product management platforms Preferred Experience.
- Professional certifications in one or more domains (Tax / Audit / Advisory / Internal Services).
- Experience supporting adoption and change within an organization to ensure successful rollout of new products or processes.
- Experience with analytics, automation, AI-enabled workflows, or data-driven product capabilities applied to business problems.
- Advanced analytical skills, including experience with data visualization and metrics interpretation.
- Exposure to vendor-supported or outsourced delivery models.
- Ability to travel as needed
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