Top Tech Jobs & Startup Jobs

Owns and prioritizes product backlogs, translates customer and business needs into technical requirements, facilitates Agile ceremonies, coordinates solutioning and dependencies, defines acceptance criteria, supports sprint planning, and partners with engineering, QA, architecture, and product management. The role also gathers feedback, evaluates delivery performance and adoption KPIs, drives demos and retrospectives, and adjusts future roadmap increments. Requires 5–7 years of product ownership experience in cloud or SaaS environments.

Leads Consumer and Commercial Data Contributor Services across the United States and Costa Rica. Oversees data ingestion, exchange implementations, data quality, regulatory compliance, contributor onboarding, incident response, process modernization, automation, and operational performance. Manages individual contributors and people leaders while partnering with technology, business stakeholders, and external data furnishers to improve accuracy, efficiency, communication, and execution in a regulated environment.

Provides strategic administrative and operational support to an SVP of Human Resources. Responsibilities include executive calendar and travel management, action-item tracking, financial and business review preparation, confidential communications, expense processing, leadership event logistics, stakeholder coordination, and workflow optimization using enterprise productivity and AI tools.

Drives direct sales and market expansion for employment tax services across the Central U.S. Develops enterprise accounts, builds C-suite relationships, executes consultative sales strategies, manages opportunities through contract execution, maintains CRM data, and represents the company at trade shows and prospect events. The role focuses on unemployment tax planning, cost management, compliance advisory, and M&A-related client needs.

Supports and improves cybersecurity operations across cyber threat intelligence, SOC operations, network security, and proactive security. Enhances workflows, tooling, automation, and intelligence processes; investigates incidents and anomalous activity; supports network reviews, red team engagements, application security testing, and vulnerability management. Pilots AI-powered tools and briefs security leadership. Requires strong SIEM, EDR, network monitoring, MITRE ATT&CK, vulnerability management, and LLM experience.

Designs, develops, tests, deploys, and operates high-scale applications using Java, Spring Boot, cloud platforms, microservices, Kubernetes, and CI/CD. Builds data pipelines and models, implements data quality checks, troubleshoots distributed systems, integrates internal platforms, and contributes to architecture and technology roadmaps. The role also applies security best practices and may develop big data processing solutions using GCP services, Apache Beam, Spark, Airflow, and AI/ML technologies.

Design, develop, test, deploy, and operate high-scale applications using Java, microservices, cloud platforms, and big data technologies. Build data pipelines and models, implement CI/CD and infrastructure-as-code, integrate internal systems, improve data quality, and troubleshoot distributed systems. Participate in architecture and technology roadmap discussions while applying security best practices across infrastructure and pipelines.

Leads a team of identity engineers responsible for a highly available PingFederate environment. Owns the SSO roadmap, zero-downtime upgrades, incident response, passwordless authentication modernization, OAuth/OIDC policies, and infrastructure-as-code deployments. Designs agentic AI workflows for anomaly detection and automated self-healing, while enforcing Terraform and GitOps standards across environments.

Leads enterprise strategy development, growth opportunity assessment, market and competitive analysis, strategic planning, M&A evaluation, and executive recommendations. Partners with business units and centers of excellence to align strategic initiatives, facilitate executive working sessions, stress-test financial models, and prepare materials for the CEO and Board. Advises senior leadership on market dynamics, business models, partnerships, acquisitions, and enterprise-level growth priorities.

Develop predictive models and analytical solutions for entity resolution using large, diverse datasets. Prepare training data, build and test algorithms, conduct A/B testing, visualize findings, and support deployable solutions. Apply machine learning, data modeling, cloud technologies, and GCP tools to improve analytics workflows and automation. Collaborate with global stakeholders and data science teams while evaluating peer work and communicating insights to management.