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

Own Linktree’s AI operations platform, including pipelines, model and prompt versioning, evaluations, monitoring, rollback, cost, latency, and reliability. Drive internal AI adoption across Product, Engineering, Marketing, and Support through tooling and agent workflows. Establish practical governance for data handling and vendor risk, make build-versus-buy decisions, align AI investment with business priorities, and mentor engineers and analysts.

Own Everbright’s outbound sales motion, initial discovery meetings, prospect follow-up, and mid-pipeline progression for behavioral health practices. Manage the CRM, sales technology stack, pipeline reporting, sales collateral, and signature-to-launch handoffs. Build and prioritize target lists, analyze outbound performance, support account-based marketing, gather market intelligence, and represent the company at conferences. The role is remote-first with 10–20% travel and offers a path toward an independent closing quota.

Full‑stack staff engineer to ship web products end-to-end, iterate on and expand a suite of sales/CRM-focused tools, define engineering culture and best practices, and hire/mentor future engineers. Must move fast in a small team, engage with users, and solve new problems creatively.

Produces publishable maps, graphs, and visualizations of conflict patterns and analysis outputs. Transforms complex datasets into compelling visual stories, develops visualization guidelines, researches new methods and software, and supports visual brand development. Collaborates with regional experts, media, partners, and external stakeholders, responds to journalist inquiries, ensures data accuracy, and contributes to outreach, reporting, coordination, and communications activities.

Own and scale Utila’s enterprise sales across the United States by acquiring new logos, expanding strategic accounts, managing complex multi-stakeholder sales cycles, and closing high-value deals. Develop regional go-to-market strategy, build executive customer and partner relationships, collaborate with Marketing and Product, provide market feedback, and manage forecasting, revenue targets, qualification, CRM hygiene, and reporting.

Lead the technical side of enterprise sales for autonomous systems and physical AI customers. Own discovery, architecture reviews, demonstrations, proofs of concept, evaluations, deployments, and expansions. Translate customer workflows into solutions, address technical objections, and collaborate with Product and Engineering. Build scalable sales engineering processes, technical content, evaluation frameworks, and operating models while supporting strategic automotive OEM and enterprise opportunities.

Provides administrative support to the Development Team by managing complex calendars, scheduling meetings, coordinating travel and expenses, drafting communications, maintaining donor and project data, supporting committee meetings, and tracking follow-up tasks. The role requires proactive prioritization, excellent writing and communication, discretion with sensitive information, and the ability to manage shifting priorities remotely across a distributed organization.

Drive Microsoft 365 Copilot trial adoption across ASEAN by enabling CSP partners and resellers, supporting customer qualification and activation, resolving adoption blockers, managing pipelines, tracking KPIs, and supporting trial-to-paid conversion. The role also coordinates with Microsoft teams and distributors, maintains CRM accuracy, delivers performance insights, and supports continuous process improvement.

Provide technical support for enterprise SaaS customers across chat, email, and direct channels. Investigate complex issues involving pixels, integrations, reporting, attribution, AI workflows, and data warehouses; determine education, configuration, bug filing, or engineering escalation needs. Coach customers and agencies, partner with Customer Success and technical teams, identify recurring issues, and improve knowledge bases, runbooks, and AI support capabilities.

Reviews and evaluates AI-generated text, translations, audio, images, video, and other data; identifies errors and quality issues; annotates and labels content; provides written feedback; follows detailed project guidelines; and completes independent assignments within deadlines.