Principal Product Manager - Data, APIs, Partner Integrations

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Product Manager – Data, APIs, Partner Integrations in the United States.

The Principal Product Manager will drive the strategic development of a data platform ecosystem, focusing on APIs and partner integrations to expand platform capabilities and create new revenue opportunities. This role involves shaping the platform’s extensibility strategy, collaborating cross-functionally with Product, Engineering, Sales, and Marketing teams, and working closely with partners to deliver innovative, AI/ML-driven data solutions. The ideal candidate will combine deep technical understanding of API-driven products with strong business acumen and strategic thinking to enable scalable solutions. You will play a critical role in defining product roadmaps, driving monetization strategies, and fostering partnerships that enhance the platform’s impact and adoption. This is a remote or hybrid U.S.-based position, offering a high degree of influence on platform growth and partner success.

Accountabilities:

• Define and execute the strategy for API-driven platform extensibility, data enrichment, and partner integration initiatives.
• Drive AI/ML-powered data enrichment capabilities to create new growth opportunities.
• Identify, negotiate, and manage strategic partnerships, ensuring joint value creation and alignment with business objectives.
• Collaborate with Product, Engineering, Sales, and Marketing teams to translate strategy into detailed requirements, PRDs, and prototypes.
• Oversee API monetization strategies, balancing competitive positioning and cost management.
• Establish joint go-to-market initiatives with partners, fostering adoption and long-term success.
• Prioritize product roadmaps and manage cross-functional execution across distributed teams.

• 8+ years of product management experience in technology integrations, data platforms, or API-driven SaaS products.
• 3+ years applying AI/ML models to data platforms for insights and enrichment.
• Technical fluency in platform extensibility, APIs, and partner ecosystems.
• Strong customer- and partner-focused mindset, ensuring roadmap initiatives align with business needs.
• Experience collaborating across Product, Engineering, Legal, Finance, Marketing, and Sales teams.
• Familiarity with software engineering and product management tools such as Jira, Confluence, Miro, or Figma.
• Excellent communication, influencing, and cross-functional leadership skills, with experience working across multiple time zones.
• Preferred: knowledge of communications surveillance/compliance in Financial Services, AI/Gen-AI applications, and cloud technologies such as AWS.

• Competitive salary: $180,000 - $230,000 per year.
• Remote or hybrid U.S.-based work flexibility.
• Comprehensive healthcare coverage including medical, dental, and vision, with FSA options.
• Flexible personal time off policy and work-life balance support.
• 401(k) plan with 4% match, fully vested on day one.
• Sabbatical program for employees after six years of service.
• Recognition programs celebrating employee contributions and core value alignment.
• Opportunities to work on innovative AI/ML-driven data solutions and strategic partner integrations.

Jobgether AI Matching Process

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 three 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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