Senior Technical Program Manager - Machine Learning

<h3><strong>About Us</strong></h3> <p><br/>Happening is the technology engine powering Superbet Group’s global platforms and brands that bring thrill to customers across the world every day. We’re a game-changing tech company rewriting the rules of sports betting and gaming. Our in-house platform handles serious scale on par with Big Tech, and customer obsession runs through every team. Owning our end-to-end stack gives us the freedom to innovate, flip legacy perceptions, and solve deep, complex challenges for millions of customers.</p> <p> </p> <p><strong>About the role</strong></p> We’re looking for an outcome-driven Technical Project Manager (TPM) to orchestrate complex, cross-functional initiatives across Applied ML, Data, and Platform Engineering. You’ll align teams on crisp milestones, unblock delivery, and ensure our ML-powered experiences (fraud/risk, personalisation, recommendations) land safely in production—on time and to spec. You’ll be at the intersection of product, engineering, machine learning, and operations.<br/>You’ll split your time between project planning, execution and stakeholder management—driving clarity without losing speed.   <strong>What You’ll Be Doing</strong> <br/>Project and Technical Leadership <ul> <li>Own end-to-end delivery of complex, cross-functional and multi-team projects.</li> <li>Build execution plans: scope, milestones, critical path, dependencies and resourcing.</li> <li>Drive execution- track burn-down, throughput, and quality metrics.</li> <li>Proactively identify and mitigate risks; manage change, trade-offs, and escalation paths.</li> <li>Partner with different engineering verticals to shape solution options and validate feasibility.</li> <li>Ensure production readiness: observability, A/B plans, rollback/kill-switches and security/privacy reviews.</li> </ul> Stakeholder Management &amp; Comms <ul> <li>Create shared context and alignment across product verticals and different teams in ML org for various projects/programs.</li> <li>Provide clear, concise updates tailored to audiences (engineers vs. execs), backed by data/dashboards and decision logs.</li> <li>Align external vendors/partners whenever needed.</li> </ul> What You’ll Bring <ul> <li>5+ years in technical programme/project management or engineering management delivering complex software/data/ML initiatives at scale.</li> <li>Familiarity with the ML lifecycle (feature engineering, training, evaluation, deployment, online/offline testing, monitoring).</li> <li>Proven mastery of delivery frameworks/toolkits: dependency mapping, risk management, cost/budget tracking, and metrics-driven execution.</li> <li>Excellent communication and stakeholder management; able to simplify complexity and drive decisions quickly.</li> <li>Comfortable with Jira/Confluence, Notion, or similar; experience building delivery dashboards (e.g., Looker/Tableau/Quicksight).</li> </ul> Preferred Qualifications <ul> <li>Experience in gaming, fintech, or other highly regulated high-scale environments.</li> <li>Exposure to ML tools and platforms (e.g., MLflow, Qwak, Airflow, Feature Stores), experimentation platforms, and data governance.</li> <li>Track record launching ML-powered products or platforms across multiple markets.</li> </ul>