Top Tech Jobs & Startup Jobs in Provo, UT

Designs, administers, and improves highly available PostgreSQL database platforms across AWS and GCP. Responsibilities include database architecture, performance tuning, replication, backups, disaster recovery, production incident response, Kubernetes operations, infrastructure as code with Terraform, and GitOps automation. The role also supports Kafka, ETL, CDC, monitoring, compliance audits, and resilient cloud-native database deployments.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

Owns technical, security, integration, and data architecture for Salesforce Marketing Cloud client engagements. Responsibilities include designing Marketing Cloud and Data 360 solutions, managing integrations, overseeing migrations, enforcing technical standards, reviewing AI-generated work, and owning production deployments. The role also requires client-facing architectural leadership, technical estimating, release management, and clear communication with technical and executive stakeholders.

Leads product discovery, roadmap prioritization, requirements definition, and delivery for clinician-facing digital workflow software. Partners with engineering, design, clinical, regulatory, operations, and commercial teams to launch scalable features, measure adoption and operational impact, and guide post-launch improvements. The role requires healthcare technology experience, strong stakeholder leadership, workflow and systems analysis, analytics proficiency, and familiarity with regulated software, integrations, and product management tools. Remote within the US, with travel up to 20%.

Manages a technical support team providing 24/7 coverage across tickets, chats, calls, live events, and interpreter intake. Owns team development, OKRs, quality assurance, escalations, client relationships, coverage operations, and process improvement. Partners with Engineering, Product, Sales, Onboarding, and Account Management to resolve technical issues, improve workflows, document procedures, and implement AI-assisted automation. Represents Support in strategic client interactions and coordinates with BPO partners.

Creates, schedules, and publishes social media content across Instagram, TikTok, YouTube, Bluesky, and other platforms. Writes accessible copy, develops graphics, monitors and responds to audience engagement, maintains partner relationships, and supports promotional strategies for podcasts, films, and articles. Collaborates across teams, tracks trends and analytics, pitches creative concepts, and occasionally travels to cover live events.

Analyzes business and operational needs, gathers requirements, evaluates data and systems, and recommends technology solutions. Develops advanced SQL queries, reports, system models, and process improvements. Responsibilities include troubleshooting, data architecture integration, software and hardware solution design, database analysis, automation using scheduling or RPA tools, and project leadership. Senior levels guide other analysts and assess technology’s business impact.

Own end-to-end development of production-grade AI-enabled applications across React and TypeScript frontends, Python and Node.js backends, PostgreSQL data models, cloud infrastructure, and CI/CD. Translate complex insurance compliance requirements into intuitive software, maintain platform reliability, optimize performance and accessibility, validate AI-generated code, and collaborate with product, design, and business stakeholders. Mentor engineers and drive technical planning, documentation, testing, deployment, and continuous optimization.

Build and ship production AI features for an insurance compliance platform. Responsibilities include developing LLM pipelines, retrieval and agent integrations, document data extraction, evaluation systems, automated quality checks, and AI-powered assistants. The role uses Python/FastAPI, React/TypeScript, and PostgreSQL while emphasizing security, reliability, maintainability, and rapid prototyping. The engineer will own features end to end, investigate complex customer documents and edge cases, and communicate AI tradeoffs to business and product partners.

Drive customer adoption, retention, and measurable value for an AI-powered SaaS platform. Analyze engagement and performance data, troubleshoot technical issues, optimize AI workflows and integrations, coach customers on process improvements, monitor customer health, and collaborate with Product, Engineering, and Support teams to resolve issues and improve the customer experience.

Provides technical leadership across multiple agile teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading design reviews and sprint delivery, mentoring engineers, collaborating with product managers, and driving technical strategy, quality, security, performance, observability, and operational excellence.

Develop and maintain Workday integrations across HCM, Finance, and Procurement using EIB, Workday Studio, Core Connectors, APIs, and web services. Responsibilities include requirements analysis, solution design, configuration, development, testing, deployment, documentation, data validation, reconciliation, security, stakeholder collaboration, and support. The role also requires monitoring Workday releases and implementing enhancements while maintaining data governance and integration accuracy.

Design and implement enterprise data architectures supporting batch and real-time analytics, ETL/ELT, data warehouses, streaming pipelines, CDC, and cloud data platforms. Build AI-ready data infrastructure for RAG, vector search, and Generative AI applications. The role requires production experience with Treasure Data/CDP, Kafka, Snowflake or Databricks, cloud services, and modern AI data engineering technologies.

Designs enterprise Salesforce architectures and CRM solutions integrating Salesforce Service Cloud with Genesys Cloud CX. Leads architecture reviews, technical governance, documentation, security assessments, and modernization initiatives. Develops scalable Apex, Lightning Web Components, Visualforce, asynchronous processing, flows, and platform integrations. Designs Open CTI, Omni-Channel, IVR, routing, screen pop, call logging, interaction history, and omnichannel customer engagement capabilities. Mentors development teams and manages stakeholder communication.