Project Manager

About the Role

We are seeking a highly organized and proactive Project Manager to lead the planning, execution, and delivery of our Machine Learning (ML) product initiatives in the iGaming industry using Scrum methodologies. You will work at the intersection of technology, data science, and client delivery, ensuring our ML-driven solutions are built, launched, and adopted with measurable value seamlessly to B2B operator partners.

This role calls for a mix of technical understanding, clear communication, collaborative client engagement, and organized delivery skills to help guide the development and deployment of ML solutions in a B2B environment.

Key Responsibilities

Project Planning & Coordination

• Define project scope, goals, deliverables, timelines, and resource allocation in alignment with B2B partner needs.
• Break down ML product requirements into actionable tasks and milestones for internal teams and client deliverables.

• Manage dependencies between research, model training, testing, integration, and deployment.

   

Execution & Delivery

• Oversee end-to-end execution of ML projects from concept to launch.
• Track velocity, carry-over, and quality metrics; ensure predictable delivery (>80% sprint goal completion).

• Anticipate and resolve blockers, risks, and scope changes while keeping clients informed.

   

Client Launch & Engagement

• Plan and coordinate product launches with B2B clients, ensuring smooth integration into their workflows.
• Act as the primary point of contact during onboarding, deployment, and post-launch support.

• Collect and synthesize client feedback to inform product improvements and feature roadmaps.

   

Qualifications & Skills

Required:

• 3+ years of experience as a Project Manager in a tech, software, or B2B product environment.
• Familiarity with the ML product lifecycle (data preparation, model development, testing, deployment, monitoring).
• Strong knowledge of Agile project management tools (e.g., Jira, Trello, Asana).
• Proven experience managing client-facing technology projects.
• Excellent organizational, multitasking, and problem-solving skills.
• Strong communication skills, able to bridge technical and business conversations.

Nice to have:

• Experience in iGaming or regulated online entertainment sectors.
•  Knowledge of ML model performance metrics and A/B testing methodologies.
• Ability to re-engineer delivery processes for productivity gains (e.g., +5% velocity, reduced carry-over).