Top Remote Senior Level Jobs in Provo, UT

Drive enterprise sales for PhoenixAI’s Agentic AI Database by creating revenue plans, generating awareness, qualifying opportunities, closing deals, and building executive relationships with AI and data infrastructure leaders. The role also involves collaborating with Marketing on business development events and maintaining accurate CRM records. Candidates need 7+ years of enterprise software or SaaS sales experience, with database, analytics, data infrastructure, or AI sales experience preferred.

Own and evolve UJET’s data platform, including MySQL CDC replication to BigQuery, dbt transformations, Terraform infrastructure, pipelines, data quality, observability, and Looker models. Build reliable, analytics-ready datasets and trusted metrics for internal and customer-facing reporting. Partner with Analytics, Finance, Product, and Engineering to deliver scalable data solutions, improve platform reliability, optimize performance and costs, and establish development standards and guardrails.

Own a territory focused on closing new enterprise accounts with health systems and physician groups. Manage complex SaaS sales cycles, develop customized proposals and ROI analyses, engage C-suite stakeholders, forecast pipeline performance, and collaborate with Provider Success, Marketing, Analytics, and Implementation teams. The role targets organizations with over $100 million in revenue and requires strong healthcare enterprise sales expertise.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Own and grow strategic technology, reseller, and channel partnerships across the United States and Canada. Develop joint business plans, enable partners, build pipeline, manage forecasts, negotiate commercial arrangements, coordinate integrations and go-to-market activities, and drive revenue. Collaborate with Sales, Product, Engineering, Marketing, Legal, and Operations while representing partner needs internally. The role focuses on defense, homeland security, public safety, critical infrastructure, and Counter-UAS markets.

Build BetterUp’s technology and channel partnership function from the ground up. Develop partner strategy, programs, executive relationships, joint business plans, co-sell motions, enablement, and operating cadences across HCM platforms, technology companies, consulting firms, and systems integrators. Align partners with Sales, Marketing, Product, Customer Success, Legal, and Finance, while tracking partner-sourced pipeline, revenue, and engagement metrics.

Own the growth strategy, positioning, partnerships, pricing, packaging, competitive intelligence, and go-to-market strategy for MinIO’s AI and Data Intelligence products. Partner closely with customers, engineering, marketing, sales, and ecosystem partners. Support strategic deals, develop field enablement, influence product direction, and communicate the value of AI infrastructure to technical and executive buyers.

Lead outbound business development for IT services, software development, managed services, and EOR solutions across North America, the UK, and EMEA. Identify and engage prospects through LinkedIn, qualify leads, conduct online meetings, nurture relationships, advance opportunities through the sales pipeline, maintain accurate CRM records, and report performance against activity and opportunity targets.

Design and implement cloud architecture, infrastructure as code, CI/CD and DevSecOps pipelines for AWS and air-gapped environments. Monitor services, manage secrets and configuration, enforce CMMC compliance, and support self-hosted bare-metal deployments. The role requires expertise in Pulumi or Terraform, Docker, Kubernetes, GitHub Actions, cloud services, TypeScript, Go, networking, identity providers, and TS/SCI clearance.

Build and operationalize machine learning models for large-scale advertising optimization. Responsibilities include designing high-volume services, developing data solutions, training and evaluating models, improving calibration and guardrails, creating offline and online evaluation workflows, and monitoring production systems. The role requires collaboration with product and engineering teams, ownership of reliability and performance, participation in on-call rotations, and deploying scalable, cost-effective ML solutions.