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

Lead and manage IT-focused contract delivery under the PWS: plan, execute, staff, track schedules, mitigate risks, produce program reporting, maintain PMP/QMP/SOPs, direct transitions, ensure contract compliance, and mentor program staff while serving as primary government interface.

Lead enterprise AI strategy, architecture, and delivery to move models from prototype to production. Build and manage AI platform and architecture teams, set roadmaps and standards, ensure integrations with enterprise systems, enforce AI governance and compliance, and optimize model performance and cost.

Define and drive Coursera's multi-quarter mobile strategy and vision. Lead end-to-end product lifecycle for native iOS/Android apps, partner with engineering, design, data science, and marketing, use experimentation and research to prioritize work, influence cross-org investment decisions, and raise product craft to improve discovery, engagement, retention, and measurable business outcomes for millions of learners.

Deliver instructor-led training (onsite and virtual) and lab-based workshops for threat analysts and administrators. Develop training content, learning paths, and certification programs. Inform product roadmap with learner feedback, mentor junior staff, maintain delivery standards, and manage logistics to scale Filigran's training function.

Manage onboarding, launch, and ongoing support for internal podcast programs. Advise clients on adoption and communication strategy, create support resources (FAQs, guides, templates), and build trusted client relationships to scale private audio for employee communications.

Lead delivery of Data Management and Analytics projects, manage project health across scope, schedule, budget and risks, act as primary client contact, drive customer satisfaction, position additional work, and direct globally distributed teams using Agile and Waterfall methodologies.

Provide technical, customer-facing implementation and support for Watershed. Build and maintain data pipelines and API integrations, create reports and dashboards, consult on best practices, automate deployment workflows (CI/CD), troubleshoot issues, train clients, and occasionally contribute to core product updates to help clients act on learning data.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Lead ownership of connected-device systems powering smart cameras: define and deliver multi-month technical roadmaps, improve reliability and observability, drive incident response, reduce tech debt, mentor engineers, and ship large-scale features across device connectivity, video pipelines, and fleet management.