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

The Content Marketing Manager will lead content planning and production across blogs, email, SEO, AI-driven search, and organic social channels. Responsibilities include managing editorial calendars, creating data-rich and customer-focused content, owning the Inventory Insider newsletter, optimizing channel performance, developing AI-assisted workflows, and managing agencies and freelancers. The role collaborates with data, demand generation, and product marketing teams on research, campaigns, and product initiatives.

Owns the full-cycle sales process for acquiring net-new clients, from prospecting and pipeline generation through discovery, proposal development, negotiation, and close. The role carries individual revenue targets, manages forecasts and CRM records, consults with prospects on data, research, audience intelligence, digital media, and measurement solutions, and coordinates subject-matter experts as needed. Ongoing account management and delivery are not core responsibilities.

Own the full sales cycle in the Chicago territory, from prospecting and pipeline development through contract negotiation and closing. Build relationships with small businesses, conduct market research, execute cold outreach, communicate product value, meet sales quotas, advocate for customer and product needs, and represent Justworks at networking events and trade shows. The role requires 25% travel within the Chicago and Greater Chicago area.

Leads ChowNow’s GTM Revenue Operations function across Sales, Onboarding, Customer Success, Marketing, and Business Systems. Owns GTM process improvement, systems architecture, technical-debt reduction, workflow design, forecasting, territory and compensation infrastructure, and cross-functional alignment. Manages a team of 5–7 direct reports while advising the CEO on systems risks, priorities, and strategic opportunities.

Own Acquia’s technology alliance strategy across ISV, OEM, platform, DAM, and content-creation partners. Manage strategic relationships including AWS, develop co-sell and marketplace motions, recruit and launch integrations, build OEM revenue models, and execute joint go-to-market programs. Lead cross-functional collaboration with Product, Marketing, and Sales while managing, coaching, and growing a team of technology alliance managers.

Leads an eLearning team developing, maintaining, and optimizing self-paced digital learning content for a clinical data platform. Owns content strategy, roadmaps, production workflows, quality standards, analytics, accessibility, and learning outcomes. Collaborates with subject matter experts, product teams, stakeholders, and external partners to translate complex concepts into effective training. Uses AI and emerging technologies to improve development and personalization, while mentoring team members and incorporating learner feedback.

Reviews and analyzes commercial insurance submissions, quote revisions, bind reviews, endorsements, and policy updates within delegated authority. Communicates with underwriters, agency partners, and internal teams; verifies business information; identifies risk concerns; requests additional details; and supports accurate, timely policy processing. Maintains knowledge of workers’ compensation and commercial auto coverage, forms, ratings, and manuals while managing high-volume work across multiple states.

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.