Top Tech Jobs & Startup Jobs in Salt Lake City, UT

Provide email and phone support to restaurant guests and merchant partners through Zendesk. Resolve high volumes of customer issues, communicate technical problems to development teams, escalate complex cases, maintain follow-through, and identify recurring issues and process improvements. The role requires strong communication, organization, problem-solving, and autonomy in a remote environment.

Leads architecture and development of scalable, high-availability software systems supporting millions of endpoints. Owns complex multi-team initiatives, makes technical decisions, mentors engineers, establishes engineering standards, and improves software quality. Requires deep Java development, distributed systems, API design, database engineering, system scalability, testing, and AI-assisted development experience.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.

Leads end-to-end pharmacy claims and physician-level data integrations for pharmaceutical and media partners. Translates business needs into technical requirements, coordinates Product, Engineering, Analytics, Legal, Privacy, Sales, and Client Success teams, manages timelines and risks, resolves data issues, oversees contractual data-sharing workflows, and drives testing, launch, handoff, documentation, and process improvements.

Plans and executes paid media across search, LinkedIn, and programmatic channels; owns digital and content performance reporting; analyzes the full marketing funnel; identifies acquisition and conversion opportunities; supports ABM and customer marketing; partners with web and CRO teams; manages agency execution; and translates performance data into actionable insights for marketing leaders and executives.

Lead Runpod’s security organization and own the security posture of its cloud platform, infrastructure, and corporate environments. Responsibilities include security strategy, cloud and application security, SecOps, GRC, compliance certifications, secure software development, threat modeling, vulnerability management, incident response, vendor risk, security automation, and infrastructure security. Build and mentor a distributed security team while partnering with Engineering, Infrastructure, Product, GTM, and Legal to protect customer AI workloads and support scalable growth.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Develop and maintain pricing models, analyze profitability and deal structures, support budgeting and forecasting, and provide scenario modeling and financial insights to Commercial and Finance leaders. The role partners cross-functionally, uses Workday Adaptive Planning for planning and reporting, monitors performance metrics, and applies AI-assisted analytics to improve financial outputs.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.