Top Tech Jobs & Startup Jobs

The Lead Supervisor leads sales teams, achieves targets, enhances customer experience, and manages operations while promoting collaboration and compliance.

The Barista II delivers exceptional customer experiences, engages guests, drives sales, maintains operational standards, and collaborates with team members.

Lead Confido’s data science function for Revenue Growth Management, developing pricing, promotion, forecasting, causal inference, and optimization models. Translate predictions into actionable recommendations under budget, margin, and retailer constraints. Partner with AI/ML engineers on productionization, evaluation, backtesting, and monitoring. Hire and mentor a team of data scientists while setting technical direction with company leadership.

Lead or assist customer implementations, collect and analyze customer requirements to design features and prioritize roadmaps, run online product demos, and provide technical/business support via phone, email, and support tickets.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and regulatory solutions. Develops with multiple programming languages, databases, containers, and cloud platforms; defines service boundaries and integration patterns; improves system performance and reduces technical debt. Provides technical leadership across Agile teams, establishes engineering standards, mentors engineers, evaluates emerging technologies, and contributes to long-term technology strategy.

Design, build, test, and deploy scalable cloud-first data solutions, lakehouse architectures, and real-time streaming pipelines. Lead Agile engineering teams, establish data engineering standards, implement security and governance controls, and optimize systems for quality, performance, and observability. Collaborate with product managers, software engineers, analysts, and data scientists to deliver reusable data products and personalized customer experiences. Apply modern technologies including Python, SQL, Spark, Kafka, Databricks, Snowflake, and interactive AI coding tools.

Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.

Leads executive and enterprise storytelling for senior Optum leaders, including the CEO. Develops speeches, presentations, articles, thought leadership, employee communications, social content, video scripts, and other high-visibility materials. Translates complex healthcare and business topics into compelling narratives, maintains consistent executive voice and editorial standards, manages multiple priorities, responsibly uses AI, and leads two communications professionals.

Design, develop, test, deploy, and maintain software applications and services in an Agile environment. Build cloud infrastructure, distributed streaming systems, containerized deployments, AI-powered solutions, platform automations, APIs, and CI/CD pipelines using Python, Golang, Kafka, Kubernetes, GCP, and Terraform. Troubleshoot issues, participate in code reviews and sprint activities, ensure security and scalability, and evaluate emerging technologies.

Supervise contact center employees by monitoring performance, coaching and conducting evaluations, managing staffing and schedules, hiring team members, resolving customer issues, monitoring service levels, addressing technical problems, supporting process improvements, and completing operational reports. The role requires flexible full-time availability, remote work, U.S. citizenship, and successful completion of a Department of Defense suitability or security clearance process.

Develop and optimize pricing architecture, regional pricing, packaging, bundles, and subscription tiers across Marketplace and Subscription products. Build data-driven business cases, analyze competitive pricing, design pricing experiments, and evaluate customer willingness-to-pay, elasticity, conversion, GMV, and lifetime value. Collaborate with Product, Marketing, Engineering, Analytics, and Finance, while presenting pricing recommendations and experiment findings to senior stakeholders.

Price and evaluate retail life insurance products, monitor underwriting performance and portfolio profitability, analyze emerging experience and risk indicators, and support product design and pricing decisions. The role develops profitability analyses, sensitivity scenarios, dashboards, reports, and quarterly VNB reporting while partnering with Underwriting, Medical, New Business, and Product Management teams. It requires an ASA, substantial actuarial experience, and life insurance expertise, with FSA and Power BI experience preferred.

Drive AI/ML initiatives across storage product development, coordinating engineering, firmware, validation, and data science teams from requirements through deployment. Manage schedules, dependencies, blockers, readiness reviews, portfolio progress, and Go/No-Go decisions. Align priorities with business goals, identify AI/ML opportunities, support adoption of AI-assisted tools, and communicate program status and outcomes to executives and cross-functional stakeholders.

Design, optimize, and verify block-level analog and mixed-signal circuits for DRAM. Propose and implement circuit topologies, improve verification and yield, support post-layout simulation and silicon correlation, mentor junior designers, and collaborate with global teams.

Leads technical integration between HBM customers and internal design, product engineering, process engineering, and manufacturing teams. Translates customer system requirements into internal actions, mentors teams on HBM architecture, signal integrity, thermal solutions, and packaging, and drives design reviews, root-cause analysis, failure resolution, and yield improvement. The role also leads development and deployment of AI-powered engineering capabilities for validation, debugging, characterization, and customer enablement.

Leads the design, development, and operation of highly available, multi-tenant data platform services on Kubernetes, including Postgres, streaming systems, and key-value stores. Defines distributed-systems architecture, failover, disaster recovery, observability, scalability, and SLOs. Builds operators, controllers, automation, and self-service APIs; drives major technical initiatives; partners across engineering; leads reliability efforts; and mentors engineers. The role requires deep hands-on software development and operation of stateful systems at scale.

Lead the design, development, and operation of highly available, multi-tenant data platform services on Kubernetes, including Postgres, messaging, streaming, and key-value systems. Define distributed-systems architecture, failover, disaster recovery, scalability, observability, and SLOs. Build operators, controllers, automation, and self-service APIs; lead major technical initiatives; resolve reliability risks; collaborate across engineering teams; and mentor engineers.

Design, build, deploy, and operate cloud-native data platform components and services. Lead scoped projects from requirements through production, ensuring reliability, scalability, testing, instrumentation, and operational readiness. Develop Kubernetes operators, controllers, automation, and platform services using Go or another systems language. Collaborate with senior engineers, participate in on-call, and mentor junior engineers through reviews, design feedback, and pairing.

Provides strategic technical leadership in industrial hygiene and safety engineering for a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, onsite industrial hygiene sampling, robotics and automation safety reviews, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel across the United States and potentially internationally.

Supports underwriters by gathering and analyzing exposure, loss, coverage, pricing, and proposal information for new and renewal business. Manages workflow from clearance through policy issuance, documentation, billing, endorsements, and post-sale account administration. Provides responsive service to brokers and agents, coordinates internal service requests, resolves policy and billing questions, and assists with renewal communications and mid-term account reviews.

Owns and prioritizes the Home insurance New Quote and Issue product backlog for independent agents. Partners with experience and technology teams to translate product launches into agent-experience updates, define user stories and acceptance criteria, support Agile ceremonies, remove roadblocks, align stakeholders, and improve product KPIs and ease-of-doing-business metrics.