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

Partners with product owners, business users, developers, and QA teams to define requirements for digital modernization initiatives. Creates user stories, workflow diagrams, acceptance criteria, and backlog documentation; analyzes APIs and SQL; researches existing functionality; supports testing and UAT; and improves documentation and delivery practices. The role also promotes AI adoption, mentors colleagues, and applies regulated-environment experience to ensure traceability and quality.

Lead the organization’s AI strategy, architecture, and adoption across a customer-facing insurance platform. Design scalable production AI, LLM, and agentic systems; establish LLMOps, evaluation, observability, governance, and security standards; guide build-versus-buy decisions; and champion AI-assisted development. Partner with engineering, product, and business leaders to redesign enterprise processes around AI while maintaining deterministic, auditable controls for policy, financial, and compliance workflows.

Lead strategic SaaS and SmartLife sales across regional communication service provider accounts. Manage complex, end-to-end sales cycles; engage executives; conduct discovery, demonstrations, and account planning; identify strategic opportunities; develop territory plans; and collaborate with solution specialists, engineering, customer success, and account teams. Provide market feedback on product development and pricing while supporting sales enablement and field training initiatives.

Drive CTV advertising revenue across healthcare and pharmaceutical sectors by developing strategic sales plans, managing agency and brand relationships, leading prospecting through contract execution, and negotiating upfront and scatter-market deals. Collaborate with internal teams on compliant advertising solutions, stay current on CTV and programmatic trends, and consistently exceed revenue targets.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Lead net-new sales for Workday professional services across the South region. Responsibilities include building pipeline, partnering with Workday’s sales organization, managing sales cycles and forecasts, negotiating statements of work, developing service estimates, achieving quota, supporting marketing activities, and managing customer and internal relationships. Travel up to 50% is required.

Build and lead a new product operations and internal product marketing function. The role establishes release documentation, training, communication, planning, measurement, feedback, and adoption processes across product, service, sales, and partnerships. It coordinates release calendars, supports beta launches, instruments team performance, improves workflows with AI-assisted tooling, and retires ineffective practices. This individual contributor role requires building scalable systems, driving adoption without direct authority, and enabling internal teams to become confident product experts.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Build and deploy scalable healthcare actuarial models within production software and AI systems. The role involves actuarial governance, model validation, data pipeline integration, AI evaluation, rapid prototyping, and technical collaboration with Product, Engineering, and Delivery teams. Candidates must translate complex healthcare risk and claims data problems into reproducible software solutions using Python, R, and SQL.