Senior Product Onboarding Manager [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Onboarding Manager based in United States.

This role is designed for a customer-focused product professional who thrives at the intersection of technology, data, and complex financial operations.
You will lead strategic onboarding initiatives, helping clients transform and optimize their investment data for a powerful platform experience.
The position combines project leadership, data analysis, customer advisory, and process innovation.
You will work closely with cross-functional teams to solve challenging onboarding scenarios and deliver long-term customer value.
As a senior member of the team, you will influence best practices, mentor colleagues, and improve scalable onboarding operations.
This is an opportunity to shape how sophisticated financial organizations adopt modern technology in a fast-growing environment.

Accountabilities:

As a Senior Product Onboarding Manager, you will own complex customer onboarding journeys, ensuring successful data transformation, platform adoption, and long-term customer outcomes. You will act as a trusted advisor to clients while improving internal processes and enabling scalable operations through collaboration and innovation.

• Lead end-to-end onboarding projects for strategic customers, managing timelines, communication, risks, and delivery across multiple stakeholders.
• Guide clients through data migration, mapping, transformation, and optimization processes to ensure accurate and effective platform adoption.
• Analyze and interpret complex financial datasets, investment structures, and legal agreements across private equity, venture capital, real estate, credit, and other alternative investment areas.
• Advise customers on data structures and workflows that support both immediate implementation needs and long-term platform success.
• Serve as an escalation point for complex onboarding challenges, providing expertise and driving effective solutions.
• Partner with Product, Engineering, Project Management, Sales, and Customer Success teams to create a seamless customer experience.
• Identify opportunities to improve onboarding processes, documentation, tools, and workflows to increase efficiency and scalability.
• Mentor and support other onboarding team members by sharing expertise, best practices, and operational knowledge.
• Build and optimize AI-supported workflows for recurring onboarding activities, including data mapping resources, migration tracking, customer documentation, and reporting processes.

Requirements:

The ideal candidate brings strong experience managing complex financial data, enterprise implementations, and customer-facing projects. You should combine analytical expertise, communication skills, and operational ownership with the ability to navigate ambiguity and drive meaningful improvements.

• 5+ years of experience working with complex financial data through investment banking, management consulting, private markets operations, financial services, or related fields.
• Bachelor’s degree or equivalent professional experience.
• Proven experience managing large-scale, multi-stakeholder projects in a fast-paced client-facing environment.
• Experience designing and implementing AI workflows across multiple tools or data sources with measurable business impact.
• Strong proficiency with Microsoft Excel or Google Sheets, including complex data analysis and manipulation.
• Exceptional problem-solving skills with strong attention to detail and accuracy.
• Ability to explain complex technical and financial concepts clearly to both technical and non-technical audiences.
• Strong customer advisory skills with the ability to influence decisions and collaborate with executive stakeholders.
• Comfortable operating in evolving environments with changing priorities and complex challenges.
• Familiarity with scripting languages and data tools such as SQL, Python, or R is preferred.
• Experience mentoring teammates or leading projects is a plus.

Benefits:

• Competitive compensation package including base salary, equity, and comprehensive benefits.
• U.S. base salary range of $108,000 - $135,000 or Canadian base salary range of $85,000 - $105,000, depending on experience, skills, and location.
• Health, dental, and vision coverage for employees and their families.
• Life insurance and mental wellness support.
• Fertility benefits and support for growing families.
• Flexible time off policy alongside company-paid holidays.
• Paid family leave, medical leave, and bereavement leave programs.
• Retirement savings plans.
• Home office and technology setup allowance.
• Annual professional development stipend.
• Flexible remote work environment with opportunities to collaborate across global teams.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.