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

Transfers new medical device products into manufacturing by setting up lines, qualifying equipment, validating processes, improving production methods, resolving compliance issues, preparing documentation, and coordinating technician activities. The role develops experiments, analyzes validation results, creates project plans and training materials, and supports production stabilization while maintaining FDA, quality, and environmental health and safety requirements.

The Director of Accounting, AI Operations will manage accounting functions across 13 brands, enhance automation through AI, ensuring a faster financial close. Responsibilities include overseeing reconciliations, improving financial reporting, and optimizing accounting operations.

Develop and execute business development strategies for litigation practices, build client and industry relationships, manage opportunity pipelines, support pitches and proposals, coordinate events and sponsorships, oversee budgets, coach attorneys, and lead thought leadership and profile-raising initiatives. The role requires strong communication, editing, analytical, project management, stakeholder collaboration, business acumen, and professional services marketing experience.

Manage existing customer accounts through proactive inside sales, order entry, upselling, quoting, opportunity qualification, and follow-up. Coordinate with outside sales and fulfillment teams, monitor backorders and delivery risks, resolve customer issues, maintain order reports, and communicate market trends, pricing, and customer feedback to management.

Lead technical success for partnership clients and escalated enterprise accounts. Serve as the primary technical contact, design complex platform solutions, manage short-term rescue projects, troubleshoot integrations, document architectures, identify expansion opportunities, advocate for partner needs with Product and Engineering, and mentor the Success team. The role requires onsite collaboration during training, followed by a hybrid schedule.

Build and execute rePete’s channel sales strategy, focusing initially on Shopify agencies. Identify, recruit, negotiate with, and close channel partners; manage partner pipelines and revenue targets; co-sell merchant opportunities; launch joint go-to-market initiatives; support partner enablement; and collaborate with Product, Marketing, Sales, and Customer Success to grow partner-sourced revenue.

Provides proactive executive support to the Chief People Officer, including calendar and email management, travel coordination, prioritization, communications, and follow-up. Coordinates People Division projects, HR initiatives, leadership activities, and global employee events, managing plans, timelines, vendors, logistics, budgets, and stakeholders. Handles confidential information, supports cross-functional communication, improves processes, maintains documentation, and serves as a trusted partner to executives, employees, and internal teams.

Supports CRM, ERP, financial, property operations, scheduling, vendor, and inventory management systems. Responsibilities include application monitoring, troubleshooting outages and escalated issues, maintaining support queues and SLAs, generating audit reports, executing change management and testing, creating implementation and rollback plans, and maintaining system documentation, procedures, and policies.

Provides administrative and clerical support to legal and tax professionals by managing calendars, scheduling client consultations, coordinating documents and workloads, communicating with clients, maintaining records, and completing tasks accurately and on time. The role requires strong organization, professionalism, confidentiality, communication, typing, and proficiency with office productivity and scheduling software.

Design and deploy scalable, low-latency machine learning systems, including training, inference, and production infrastructure. Integrate LLMs and traditional or specialized models for NLP, speech, forecasting, and recommendations. Optimize real-time ML pipelines, implement MLOps and reinforcement-learning systems, and collaborate with engineering, product, infrastructure, data science, customers, and partners. The role requires strong Python development, cloud, microservices, messaging, serverless, database, testing, and deployment expertise.