Technical Product Manager - Payments & AI

This position is posted by Jobgether on behalf of Sparkrock. We are currently looking for a Technical Product Manager - Payments & AI in Canada, India, Argentina, Brazil, Turkey, Poland, or Romania.

This role is a unique opportunity to lead transformative product initiatives at the intersection of FinTech, AI, and public impact. As a Technical Product Manager, you will own the vision, strategy, and roadmap for a next-generation payments platform and an AI-powered assistant. You will work closely with engineering, design, and cross-functional teams to translate strategy into actionable solutions that drive operational efficiency for mission-driven organizations. This role requires a blend of technical expertise, analytical thinking, and customer empathy to deliver innovative products that meet compliance standards and maximize user value. You will operate in a fully remote, flexible environment, collaborating with a global team to deliver measurable impact.

Accountabilities

• Define and own the vision, strategy, roadmap, and success metrics for payments and AI product workstreams.
• Conduct product discovery, gather user needs, perform market and competitive analysis, and validate solutions.
• Translate product strategy into detailed requirements and collaborate with engineering and design teams to execute.
• Partner with Sales, Customer Success, Marketing, and Professional Services to ensure product alignment.
• Manage third-party relationships related to payment infrastructure and AI platforms.
• Champion a data-driven product development approach, leveraging analytics to measure impact and optimize experiences.
• Engage with customers directly to build trust, collect feedback, and iterate on product solutions.
• Stay current on payments compliance, FinTech regulations, and AI trends, and incorporate insights into product planning.

Requirements

• 5+ years of product management experience in SaaS, FinTech, or AI-focused environments.
• 1+ years of technical product management experience with payments and AI-driven applications.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Experience with AI/ML tooling, including LLM integration or model lifecycle management.
• Familiarity with payments infrastructure, financial compliance, and cloud platforms such as Azure or AWS.
• Strong system design skills, including architecture diagrams, data modeling, and performance optimization.
• Proficiency with tools such as Figma, Visio, Jira, Confluence, SQL, Excel, Looker, and Amplitude.
• Excellent verbal and written communication skills in English.
• Strong analytical, strategic, and problem-solving skills, with the ability to influence cross-functional teams.

Nice to have:

• MBA or advanced product/technology certifications.
• Experience in K–12 education or nonprofit sectors.
• Track record launching AI-first features, such as predictive workflows or AI assistants.

Benefits

• 100% remote, global work with flexible hours.
• Career growth and coaching with regular feedback and access to learning resources.
• Participation in expert webinars and thought leadership sessions on cutting-edge technologies.
• Home office stipend to support a productive workspace.
• Connected and inclusive culture with virtual coffee chats, book clubs, cooking classes, and social events.
• Competitive compensation: OTE USD $100,000 (85% Base, 15% Performance).

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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