Top Tech Jobs & Startup Jobs

Lead analysis of current and next-generation DRAM/DDR memory technologies across electrical, thermal, power, and performance domains. Identify performance gaps, evaluate tradeoffs, and provide design guidance to architecture, firmware, validation, and product teams. Drive multi-functional alignment, deliver technical recommendations, and use AI tools to model design gaps and summarize data for strategy and decision-making.

Lead and develop a software engineering team supporting Manufacturing IT: manage workloads, set goals, coach and train staff, partner with product owners to define requirements, oversee delivery, and collaborate with global IT and manufacturing leaders to drive strategy and improvements.

Lead front-end planning and governance for large semiconductor new-build capital programs. Define delivery frameworks, translate business needs into facility and infrastructure requirements, establish baselines for schedule and cost, align cross-functional stakeholders, mitigate early risks, and drive scalable construction strategies including prefabrication and AI-enabled reporting.

Lead pricing, promotions, and trade investment strategy for assigned channels/portfolios using RGM frameworks (PPA, elasticity, incrementality). Drive analytically driven price and promotional recommendations, manage trade budgets, perform deep-dive analyses, influence senior stakeholders, and contribute to annual financial planning while advancing RGM capabilities and governance.

Lead design and execution of initiatives to simplify client experiences, enable account teams, implement CRM and enablement tools, deliver training, drive process improvements, support integrations, and measure project outcomes while collaborating across sales, operations, marketing, and customer success.

Build, deploy, and maintain ML models and data pipelines to detect financial crime and onboarding risk (KYC/KYB). Analyze large datasets, run experiments (A/B tests), collaborate with product, engineering, and compliance, and operationalize real-time scoring and tooling to reduce chargebacks and friction.

Lead enterprise SaaS implementations for Global 1000 supply‑chain customers. Serve as trusted advisor and project manager, develop roadmaps, coordinate internal and external stakeholders, run trainings and executive reviews, ensure adoption, and drive continuous improvement across implementation programs.

Build and operate full-stack features (React frontend; C#/.NET Core or Python backend), own design-to-production lifecycle, prototype solutions, review code, improve observability and tech debt, and participate in squad design and operations.

Optimize workforce performance for service and clinical operations by forecasting staffing, managing intraday operations for Intake and Clinical RN teams, monitoring productivity and queues, delivering performance reports and insights, identifying improvement and automation opportunities, leading daily operational meetings, and preparing leadership presentations.

Lead and scale a global Customer Support organisation from Singapore: define strategy, 24/7 operating model, SLAs, analytics (CSAT/NPS), QA, tech stack, deflection/self-service, cross-functional incident leadership, and vendor/BPO management to improve customer health, retention and cost-to-serve.

Lead DigitalOcean's insider threat program by engineering detection, automating workflows, hunting threats, and investigating anomalous activity. Build detection content, integrate log pipelines, develop playbooks, perform data analytics, and collaborate with DFIR, Threat Intel, HR, and Legal to reduce insider risk and improve response.

Lead and evolve the insider threat program by engineering detection, automating investigation workflows, tuning UEBA/SIEM/DLP/UAM/SOAR detection content, conducting threat hunting and DFIR, collaborating with HR/Legal, and using data analytics (e.g., Pandas) to investigate anomalous activity and reduce internal risk.

Lead DigitalOcean's insider threat program: design and automate detection, build and tune UEBA/SIEM/DLP/SOAR detection content, investigate anomalous activity, collaborate with DFIR/Threat Intel/HR/Legal, perform data analytics (Pandas), and produce playbooks, metrics, and actionable reports to reduce insider risk.

Lead and scale a casino analytics team to set analytics vision, drive experimentation strategy, and deliver executive-level insights. Partner with Revenue Operations, Data Science, and Product to build reporting, monitoring, and analytical frameworks that surface trends, risks, and growth opportunities. Coach leaders and analysts, align analytical roadmaps with business objectives, and foster analytical excellence and accountability.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

Support marketing measurement by analyzing campaign performance, building reports and dashboards, applying statistical methods and attribution models, and providing data-driven recommendations to marketing stakeholders.