Top Tech Jobs & Startup Jobs

Design, operate, and optimize AI/ML infrastructure: manage GPU workloads, Kubeflow/MLflow, stateful Kubernetes deployments, and backing services (databases, messaging, search, OLAP). Automate via IaC/GitOps, ensure reliability, performance, capacity planning, observability, and support data science and ML engineering teams.

Support pre-sales for Focal by assessing client needs, delivering demos and POCs, responding to RFPs/RFIs, translating AML/compliance requirements into technical solutions, running workshops, and acting as a subject-matter expert to help close deals.

Lead and mentor enterprise sales teams to hit revenue targets across multiple sectors. Develop and execute sales strategy aligned to AI product roadmap, manage strategic accounts, build C-suite relationships, drive partnerships, negotiate complex multimillion-dollar deals, and improve sales processes, forecasting, and team performance while supporting recruiting and career development.

Drive Telco sales growth in Saudi Arabia by identifying opportunities, building relationships, managing pipeline, leading RFPs/proposals, and closing deals for AI, data and SaaS solutions. Collaborate with pre-sales, product, and marketing, represent Mozn at events, ensure renewals and upsell, and meet quarterly and annual revenue targets.

Lead product strategy and roadmap for a real-time anti-fraud platform. Translate customer, market, and regulatory needs into scalable initiatives. Prioritize features, mentor product managers, partner with engineering and data science, engage customers, monitor fraud trends, and own product outcomes including adoption and commercial success.

As a Revenue Operations Analyst, you will handle quote-to-close processes, deal structuring, and ensure compliance with revenue recognition policies, while collaborating with multiple departments.

The Salesforce Administrator manages Salesforce administration, data integrity, reports, automation, and user support, ensuring optimal functionality and alignment with business needs.

As a Data Engineer I, you'll design, build, and optimize data pipelines, collaborate with teams for efficient data integration, and enhance system performance.

Lead end-to-end success for strategic enterprise accounts: drive adoption, retention, and value realization; manage customer health and escalations; identify expansion opportunities; run executive reviews; mentor junior CSMs; and partner with Sales to grow accounts.

As a Specialist in FP&A, you will lead financial strategy, provide insights for executive decisions, manage budgets, and analyze financial performance. Responsibilities include developing models, variance analysis, and mentoring junior team members in a SaaS environment.