Senior Technical Product Manager, AI & Data Solutions

New

JobgetherB2B SaaS, AI and data

Remote position within the United States.Full-TimeSenior

Salary not disclosed

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Job Details

Experience managing, building, or delivering B2B SaaS products involving complex customer data and business workflows.
Strong SQL skills.
Practical experience working with APIs, data integrations, and data quality challenges.
Regular hands-on experience using AI-assisted coding or development tools to build, prototype, and test functional solutions.
Technical depth to independently investigate and troubleshoot issues and collaborate effectively with software engineers.
Ability to translate loosely defined customer needs into practical solutions, clear product requirements, and actionable development plans.
Strong written and verbal communication skills for working with technical teams and executive-level customers.
Track record of delivering useful solutions quickly despite ambiguous requests or incomplete requirements.
Sound judgment about when rapid prototyping is appropriate and when solutions need more robust engineering, architecture, security, or production support.
Problem-solving, prioritization, and organizational skills to balance customer needs, technical constraints, and product scalability.
Customer-focused, hands-on approach across discovery, development, testing, and product planning.

Engage customers and executive stakeholders to clarify business challenges and identify relevant data sources.
Define practical initial solutions based on customer needs.
Develop and refine prototypes, reports, workflows, and lightweight integrations using SQL, APIs, low-code platforms, and AI-assisted development tools.
Manage data mapping, output accuracy, edge cases, usability, acceptance testing, and customer feedback.
Independently test and troubleshoot solutions before presenting them to customers.
Translate successful customer-specific solutions into actionable requirements for reusable, scalable product features.
Present solutions to customer leaders and explain technical options, tradeoffs, capabilities, development needs, timelines, and next steps.
Collaborate with engineers and technical teams on architecture, security reviews, production support, and scalability.
Identify technical risks early, keep projects moving through ambiguity, and incorporate customer feedback into working solutions.

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