Senior Technical Product Manager, AI & Data Solutions

Jobgether; Oregon; Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Remote position within the United-Stat

Full-time employment

Job summary

Jobgether seeks a results-driven professional to engage with customers and executives, turning needs into practical, scalable data-driven solutions. You will prototype reports and workflows, validate outputs, and guide the product team with clear requirements.

You will work across Product and Engineering to ensure quality, manage risk, and deliver measurable outcomes quickly. This role blends data, AI, and software development in a fast-paced environment.

Qualifications

• Experience delivering B2B SaaS products involving complex customer data and business workflows.
• Strong SQL skills and practical experience with APIs, data integrations, and data quality challenges.
• Hands-on experience using AI-assisted coding or development tools to build, prototype, and test functional solutions.
• Sufficient technical depth to investigate issues, troubleshoot problems, and collaborate with software engineers.
• Ability to translate loosely defined customer needs into practical solutions, clear requirements, and actionable development plans.
• Strong written and verbal communication skills, working with technical teams and executive customers.
• Track record of delivering useful solutions quickly even when requirements are incomplete.
• Sound judgment on when rapid prototyping is appropriate vs robust engineering.

Responsibilities

• Understand customer needs by engaging with customers and executives to clarify challenges and define initial solutions.
• Build and iterate on prototypes, reports, workflows, and lightweight integrations using SQL, APIs, low-code platforms, and AI-assisted tools.
• Ensure solution quality through data mapping, output accuracy, edge-case handling, usability, and acceptance testing.
• Validate solutions by testing and troubleshooting before presenting to customers.
• Translate insights into reusable product capabilities and clear development plans.
• Communicate recommendations and tradeoffs to customer leaders, setting realistic expectations.
• Collaborate with Engineering for architecture reviews, production support, or long-term scalability.
• Manage ambiguity and risk to keep projects moving forward.

Skills

B2B SaaS

Data workflows

Communication skills

Problem-solving

Requirement translation

Tools

SQL

APIs

Data integrations

AI-assisted coding tools

Job description

Accountabilities

• Understand customer needs: Engage directly with customers and executive stakeholders to clarify business challenges, identify relevant data sources, and define practical initial solutions.
• Build and iterate on solutions: Develop and refine prototypes, reports, workflows, and lightweight integrations using SQL, APIs, low-code platforms, and AI-assisted development tools.
• Ensure solution quality: Manage data mapping, output accuracy, edge cases, usability, acceptance testing, and customer feedback throughout the development process.
• Validate before delivery: Independently test and troubleshoot solutions to identify and resolve issues before presenting them to customers.
• Translate insights into product capabilities: Turn successful customer-specific solutions into clear, actionable requirements for reusable and scalable product features.
• Communicate recommendations and tradeoffs: Present solutions to customer leaders, explain technical options, and set realistic expectations about current capabilities, development needs, timelines, and next steps.
• Collaborate with Engineering: Partner with software engineers and other technical teams when solutions require deeper architecture, security reviews, production support, or long-term scalability.
• Manage ambiguity and risk: Keep projects progressing despite incomplete requirements, identify technical risks early, and recommend practical paths forward.
• Drive measurable outcomes: Deliver useful working solutions quickly, incorporate customer feedback, and ensure successful prototypes are supported by well-tested requirements and effective engineering handoffs.

Requirements

• Experience managing, building, or delivering B2B SaaS products involving complex customer data and business workflows.
• Strong SQL skills and 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.
• Sufficient technical depth to independently investigate issues, troubleshoot problems, and collaborate effectively with software engineers.
• Proven ability to translate loosely defined customer needs into practical solutions, clear product requirements, and actionable development plans.
• Strong written and verbal communication skills, with the ability to work effectively with both technical teams and executive-level customers.
• A track record of delivering useful solutions quickly, even when initial requests are ambiguous or requirements are incomplete.
• Sound technical judgment in determining when rapid prototyping is appropriate and when a solution requires more robust engineering, architecture, security, or production support.
• Strong problem-solving, prioritization, and organizational skills, with the ability to balance customer needs, technical constraints, and product scalability.
• A customer-focused, hands-on mindset and the ability to move confidently between discovery, development, testing, and product planning.

Benefits

• Work arrangement: Remote position within the United States.
• Employment type: Full-time.
• Technical impact: Opportunity to work at the intersection of AI, data, customer solutions, and product development.
• Ownership and collaboration: Direct engagement with customers and executive stakeholders, with close collaboration across Product and Engineering.
• Innovation: Opportunity to prototype new solutions, validate ideas quickly, and help shape scalable product capabilities.
• Compensation and additional benefits: Salary, healthcare coverage, paid time off, retirement benefits, and other employment perks are not specified in the provided job description. Candidates should confirm these details with the hiring company.