Sr. Technical Product Manager, AI/ML

Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.  

Last year, more than $3.3 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.

The AI/ML teams are seeking a Senior Technical Product Manager to help us achieve architectural and measurable operational excellence. The ideal candidate for this role will have experience managing AI/ML products and services, with a strong focus on API management, internal tool development, and strategic infrastructure and data initiatives. This candidate must have demonstrated a track record of both strategic thinking and practical execution. They have led projects from idea/inception to delivery with measurable customer value realized and are passionate about inventing new technologies with a big-picture vision, grounded in a practical, realistic approach.

Responsibilities:

• AI/ML Services API: Own and manage the lifecycle of AI/ML Services APIs to ensure they meet the needs of internal developers and external stakeholders. Drive the documentation, versioning, and governance of APIs and oversee the development, deployment, and continuous improvement of internal apps.

• Infra & Data Strategy Leadership: Lead the strategic direction for infrastructure and data strategy, aligning with Upwork's long-term goals. Collaborate with engineering and data science teams to ensure scalable, efficient, and secure AI/ML infrastructure.

• Partnerships: Form strong partnerships and productive working relationships with engineers, product teams, and stakeholders across the organization. Appreciate the importance of strong bonds and collaboration for successful product management.

• Customer Focus: Maintain a deep understanding of both internal and external customers, owning services that drive intelligent and collaborative experiences across all product surfaces.

• Metrics and Data-Driven Decision Making: Focus on key input and output metrics for your areas, driving experimentation and data-driven decisions. Ensure dashboards are up-to-date and reflective of current data and models.

• Backlog & Roadmap Management: Manage incoming requests and backlogs for your areas, maintaining a strategic outlook for upcoming quarters.

• Operational Excellence: Define and improve processes and standards for AI/ML workflows, from training to serving to monitoring, with a focus on efficiency and measurable outcomes.

• Acceptance Testing: …