Top Tech Jobs & Startup Jobs

The role involves developing models for product flow and capacity forecasting, utilizing mathematical techniques, data analysis, and programming languages, while collaborating with engineers and business users.

Develop new process formulations and specifications, coordinate design reviews, evaluate test data, and work with various deposition and analysis techniques.

Define requirements for ASIC design, verify implementation, evaluate trade-offs, review IPS, support documentation, and analyze performance.

Lead end-to-end program management for security engineering initiatives, coordinate with cross-functional teams, manage security risks, and ensure project efficiency.

Lead end-to-end execution of hyperscale data center builds and capacity expansions. Translate capacity forecasts into technical program requirements, manage schedules, risks, budgets, and KPIs, coordinate cross-functional teams (Engineering, Supply Chain, Data Center Operations), resolve technical and logistical issues, and establish scalable processes and SLAs for global infrastructure delivery.

Design and implement distributed storage solutions for AI workloads, optimize performance, and collaborate with teams to enhance storage capabilities.

The Renewals Specialist will partner with sales teams to manage renewals, monitor customer health, and improve retention strategies for at-risk clients.

Lead and expand the global HCL partnership: build executive relationships, create joint offerings, drive Zscaler revenue and partner targets, and align cross-functional sales and alliance teams to generate net-new opportunities.

Own the agentic SecOps platform vision and roadmap, enabling internal product teams to build, deploy, and operate LLM-based agents. Lead discovery, prioritize engineering delivery, define governance and observability requirements, align stakeholders, and track adoption, velocity, and engagement metrics to iterate on shared AI infrastructure and unified agent UX.

Design and build agentic AI features by integrating LLM APIs into product workflows. Write well-tested TypeScript across the stack, implement tool invocation and multi-step reasoning flows, collaborate with Product and Design, and improve reliability and performance of agentic systems while documenting findings.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

Lead portfolio-wide monetization strategy for US game titles, develop unified monetization philosophy and playbooks, enable game teams, champion analytics-driven decisions, oversee forecasting and A/B testing, mentor monetization talent, and represent monetization to senior leadership while partnering cross-functionally to balance revenue and player experience.

Own the full sales cycle to acquire SMB customers in a new vertical, build the go-to-market playbook, track pipeline in Salesforce, partner with leadership, and feed learnings into product and marketing.

The role involves outreach to Dental Service Organizations, generating meetings for the sales team through research, utilizing various communication channels, and tracking sales activities.

Lead and scale the Marketing Data Science team to drive measurable growth outcomes. Set vision and strategy, prioritize work, build scalable reporting and self-serve tools, apply MMM, experimental and causal methods, and translate analysis into executive recommendations to inform marketing budget and investment decisions.

Lead product analytics for Spending, driving experimentation, causal measurement, metric frameworks, and dashboards. Partner cross-functionally to surface insights, guide product roadmaps, mentor on experimentation, and ensure analytics drive member engagement and retention.

Lead product-focused trust & safety analytics: design experiments, run causal measurement, build metric frameworks and dashboards, translate member behavior into product recommendations, and partner cross-functionally to drive adoption and impact.

The Account Executive will develop and close business with large enterprise clients, managing relationships and driving revenue growth across several industries. Responsibilities include prospecting new clients, leveraging executive relationships, resolving issues, utilizing technical resources, and meeting sales targets while keeping informed on market trends.

As an Enterprise Account Executive, you will develop and close business with large prospects, establishing relationships and leveraging insights to drive expansion and meet revenue goals.

Develop and close business with enterprise clients, building executive relationships, resolving issues, and exceeding sales quotas using a consultative approach.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.

Build and maintain frontend features for the Cart & Checkout experience using React and TypeScript. Integrate with backend APIs, write automated tests, participate in architecture and code reviews, join on-call rotations, and mentor junior engineers to ensure scalable, resilient production systems.

Design, implement, test, deploy, and iterate machine learning and optimization models and systems. Collaborate with data scientists, engineers, and product managers to scale ML solutions, research new techniques, and improve data quality and predictive applications.

Design, build, and maintain software components and services. Debug and troubleshoot production issues, contribute to architecture, deployment pipelines, infrastructure as code, and observability. Participate in on-call rotations and follow professional SDLC practices.