Implementation Project Manager
Job Summary
As an Implementation Project Manager at Pantomath, you will lead the execution of new customer deployments, coordinating across internal and external stakeholders to deliver projects on time, within scope, and with exceptional quality. This role blends project management excellence with SaaS delivery acumen—ensuring customers realize value from our platform quickly and efficiently. You will be central to driving implementation success by owning project timelines, identifying and mitigating risks, and aligning teams to customer outcomes.
Key Responsibilities
Lead cross-functional project execution for new customer implementations, from kickoff through go-live.
Define project scope, goals, deliverables, and success metrics in alignment with customer objectives.
Build and manage project plans, timelines, resource allocation, and risk mitigation strategies.
Coordinate with Customer Experience, CX Engineering, Product, and Sales to ensure delivery alignment.
Act as the primary point of contact for all implementation-related communications with the customer.
Proactively manage project risks and issues, escalating when necessary to ensure successful outcomes.
Facilitate regular project updates, executive summaries, and post-implementation retrospectives.
Develop reusable project templates and documentation to scale implementation repeatability.
Contribute to continuous improvement of delivery methodologies and internal tools.
Support change management and customer enablement during the implementation process.
Required Qualifications
5+ years of project management experience, preferably in SaaS or enterprise software implementation.
Strong working knowledge of project management principles, tools, and best practices.
Demonstrated success delivering cross-functional technology projects with external stakeholders.
Excellent communication and stakeholder management skills.
Proven ability to manage multiple concurrent projects in fast-paced, dynamic environments.
Proficiency in project planning tools (e.g., Asana, Jira, Smartsheet, or similar).
Bachelor’s degree in Business, Computer Science, Information Systems, or related field.
PMP or comparable project management certification is a strong plus.
Preferred Qualifications
Familiarity with data platforms (e.g., Snowflake, Databricks, Power BI, DBT, Fivetran, Tableau, etc.) and associated observability tools.
Prior experience working in a high growth SaaS organization. Startup experience also beneficial.
Background in technical onboarding, implementation consulting, or customer enablement.
Experience working closely with Customer Experience / Customer Success, Engineering, or Post-Sales delivery teams.
Equal Opportunity & Accommodations
Pantomath is proud to be an Equal Opportunity Employer. Employment decisions are made without regard to legally protected characteristics and are based on qualifications, merit, and business needs. We are committed to providing reasonable accommodations to qualified individuals — whether during the application and interview process or throughout employment. To request an accommodation, please contact Human Resources.
FLSA Compliance Statement
This position is classified as Exempt under the Fair Labor Standards Act (FLSA), meaning it is not eligible for overtime compensation. This classification is based on responsibilities involving advanced technical expertise, leadership, and independent problem-solving.
- Department
- Customer Experience
- Locations
- San Francisco Bay Area, CA, Cincinnati
- Remote status
- Hybrid
- Employment type
- Full-time
About Pantomath
Pantomath is an automated data operations platform that addresses the challenges organizations face with data reliability, where manual, time-consuming processes and reliance on tribal knowledge often hinder effective problem resolution.
By automating data monitoring and impact analysis, Pantomath streamlines operations and improves data confidence, quality, and reliability. Enterprises using Pantomath significantly reduce mean time to acknowledgement, mean time to root cause, and mean time to resolution of all data issues across their entire data ecosystem.