The Senior Product Manager, Data Ingestion and Customer Onboarding is responsible for defining the strategy, roadmap, and execution of Vertex's data ingestion and customer onboarding capabilities. This role owns how customer data is collected, transformed, validated, and activated across Vertex products, ensuring customers achieve value quickly and efficiently. Working cross-functionally with Product Management, Engineering, Design, Customer Success, Professional Services, and Partner teams, this role delivers scalable solutions that improve customer adoption, reduce onboarding complexity, and strengthen platform data capabilities.

• Define and own product vision, strategy, and roadmap for data ingestion and customer onboarding; align priorities with company objectives, customer needs, and platform strategy while balancing strategic investments, customer commitments, and technical debt.
• Own the end-to-end customer onboarding experience from initial setup through successful product adoption; identify friction points, drive improvements that reduce implementation effort, and define success metrics for adoption, activation, and customer health.
• Define capabilities for data ingestion, mapping, validation, transformation, monitoring, and governance; understand integration technologies including APIs, connectors, and ETL/ELT processes to deliver scalable, reusable ingestion services and onboarding automation.
• Translate business requirements into detailed product requirements, user stories, epics, and acceptance criteria; manage and prioritize the product backlog and partner with Engineering through the full development lifecycle, including sprint planning, backlog refinement, and release planning.
• Collaborate with Professional Services, Customer Success, and Support teams to continuously improve onboarding outcomes and reduce operational overhead; partner with platform teams to deliver automation and reusable onboarding solutions.
• Engage directly with customers through interviews, workshops, and strategic discussions; demonstrate product capabilities to customers, prospects, and partners; communicate roadmap updates and product outcomes to leadership and cross-functional teams.
• Act as the primary liaison between business stakeholders and Engineering teams; build and maintain alignment across Product, Engineering, Design, Customer Success, and Partner organizations.

Required Qualifications

• 5+ years of product management experience in a SaaS, enterprise software, platform, or data-centric environment.
• Demonstrated experience building and managing product roadmaps; ability to evaluate trade-offs, assess technical constraints, and prioritize across competing business and customer needs.
• Experience writing detailed product requirements, user stories, epics, and acceptance criteria; hands-on proficiency with Agile methodologies and tools such as Jira or Azure DevOps.
• Working knowledge of data integration concepts including APIs, connectors, and ETL/ELT processes; ability to engage credibly with Engineering teams on data ingestion and platform integration topics.
• Strong analytical and problem-solving skills; demonstrated ability to evaluate complex trade-offs and make prioritization decisions grounded in data and customer impact.
• Exceptional communication and stakeholder management skills; ability to present priorities, roadmap decisions, and product outcomes clearly to both technical and executive audiences.
• Demonstrated ability to collaborate effectively across Engineering, Design, Customer Success, Professional Services, and Product organizations to deliver cross-functional outcomes.

Preferred Qualifications

• Experience designing and improving customer onboarding workflows and implementation experiences, including customer journey mapping, implementation patterns, and time-to-value optimization.
• Familiarity with enterprise software ecosystems such as ERP, CRM, eCommerce, procurement, or finance platforms and their integration patterns with data platforms.
• Knowledge of data governance, data quality, and observability concepts; experience defining approaches for handling data exceptions and ensuring ingestion reliability.
• Experience with cloud-based platforms and modern SaaS architectures; understanding of scalable data platform and service design.
• Experience supporting customer demonstrations, workshops, and enterprise implementation engagements.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field; equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree.

COMMENTS:

The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time.

Vertex Values: Together We Win

We're building a team of people who are passionate about making an impact for our customers and committed to how that impact is achieved. Our values define the behaviors, mindset, and culture that make Vertex a great place to grow and do meaningful work.

Play to Win or We Don't Play — If we choose to do something, we're choosing to do it because we plan to win. That mindset raises our bar on product quality, customer outcomes, and how we show up for one another.

Work As a Team, Putting the Customer At the Core — Our customers are our true north. Whatever your role, ask: how will this help a customer succeed today? We earn trust through outcomes, not promises.

Achieve Excellence With Integrity, Speed, and Agility — The market isn't slowing down. We'll move faster, adapt quickly, and never compromise on doing things the right way — for teammates, customers, and partners.

Innovate Boldly With a Growth Mindset — Progress demands smart risk. We'll try new approaches, learn fast, and keep pushing the boundaries — especially where AI can remove friction and unlock value.

Communicate with Care, Candor and Transparency — Honest, constructive conversations make us better. Let's speak plainly about what's working and what isn't and help each other improve.

Annual Salary Range: ₹2,033,010.00 - ₹2,657,550.00

Pay Basis: Monthly

The expected base salary range for this role varies by location and is expressed in local currency. The posted range reflects the anticipated hiring range for successful candidates at the time of hire, based on relevant job‑related skills, experience, geographic location, and business needs. Base pay offered to new hires may vary within the posted range depending on individual qualifications and market considerations.

The posted salary range reflects compensation at the time of hire. Employees may experience additional compensation growth over time through performance‑based increases, expanded responsibilities, role progression, or internal career opportunities, in accordance with company policies and local practices.

In addition to base pay, this role may be eligible for other elements of Vertex’s total compensation package, which may include participation in the Vertex Bonus Plan (VOB), a role‑specific sales commission or bonus, and/or equity grants, where applicable.

Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.

*In all cases, compensation will comply with applicable local pay transparency and minimum wage requirements.