Top Tech Jobs & Startup Jobs in Provo, UT

Leads global AI integration across software engineering platforms and manages distributed engineering leaders across three countries. Drives adoption of AI-assisted development tools, modernizes software delivery workflows, oversees security and compliance, and integrates AI into React, .NET, Java, Salesforce, and MuleSoft platforms. Requires extensive software development and senior engineering leadership experience, plus expertise in cloud, SaaS architecture, privacy, tenant isolation, and enterprise AI transformations.

Develop fraud detection and identity-risk machine learning models from problem definition through production deployment. Responsibilities include investigating fraud patterns, exploratory analysis, feature engineering, model training and evaluation, production-quality Python and PySpark development, monitoring model and feature drift, and presenting analytical recommendations. The role requires collaboration with data scientists and engineers while addressing privacy, explainability, validation, governance, and real-world fraud-modeling challenges such as class imbalance and delayed labels.

Sell Flai’s AI-native sales CRM to automotive dealerships and dealer groups. Responsibilities include prospecting, discovery, tailored demonstrations, pilot design, proposals, negotiation, closing, expansion, pipeline management, forecasting, and customer handoff. The role requires evaluating dealership sales workflows, managing CRM replacement concerns, coordinating data migration and rollout plans, and providing competitive feedback to product and founders. This is a remote position with deal-related travel.

Identifies and develops business opportunities, partnerships, and stakeholder relationships for autonomous and unmanned systems solutions. Responsibilities include researching markets, tailoring mission capabilities, negotiating proposals, closing deals, executing technology-driven strategies, collaborating cross-functionally, and reporting on KPIs. The role serves defense and government customers in a remote environment and requires strong communication, analytical, strategic planning, and business development abilities.

Designs and builds cloud-native maintenance planning software for U.S. Navy and defense customers. Responsibilities include modernizing legacy systems, developing data transformations and APIs, designing microservices, implementing identity and access controls, ensuring data quality and compliance, and leading architecture and technical delivery. The role collaborates with government, vendor, platform, and engineering stakeholders, mentors engineers, documents systems, and supports development through production sustainment in a remote environment.

Supports software engineering teams through coding, debugging, technical documentation, automated testing, and software component development. Translates user stories and requirements into tested implementations while participating in Agile design, planning, testing, and deployment activities. Collaborates with engineers, test engineers, business partners, and leaders in a remote, cross-functional environment.

Design, develop, test, implement, and deliver moderately complex software systems for enterprise business needs. Resolve system problems and incidents, design solutions aligned with business and operational requirements, and participate across the agile development lifecycle. Mentor apprentice and associate software engineers through coaching and training while applying strong application development, programming, communication, and independent judgment skills.

Generate qualified sales opportunities through outbound prospecting, marketing lead follow-up, and targeted messaging. Conduct at least 65 daily outreach activities, use LinkedIn Navigator, ZoomInfo, and Salesforce to source prospects, and collaborate with Account Executives and Territory Managers. Meet weekly opportunity targets in a high-performance SaaS environment while developing sales skills and progressing toward advanced roles.

Strategists apply political research, data, and tools to provide actionable guidance to Democratic campaigns and progressive organizations. They build trusted relationships with candidates and senior staff, address ambiguous needs proactively, operate in fast-changing election environments, present recommendations, and help improve tools for the 2028 election cycle. The role may be full-time, part-time, contract, project-based, or a short-term fellowship.

Analyze modeled outputs and research data to produce automated reporting, visualizations, statistical insights, and actionable guidance for political strategists and clients. Build analytics pipelines, conduct regression-based analysis, monitor research returns, identify data quality issues, and collaborate with engineers, machine learning scientists, statisticians, and political experts.

Leads architecture, development, and operation of Python-based AWS backend and IoT services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, databases, device communication, and infrastructure as code. Provides hands-on technical leadership through coding, design and code reviews, mentoring, cross-functional planning, security practices, testing, CI/CD, monitoring, incident response, and roadmap development.

Develop customized DevOps and DevSecOps solutions for prospective customers in partnership with sales, product, engineering, and customer success teams. Lead discovery sessions, technical presentations, product demonstrations, proofs of value, and responses to RFPs and RFIs in English and Spanish. Translate business objectives into technical architectures, support presales-to-postsales transitions, represent JFrog at industry events, and provide customer feedback to influence the product roadmap.

Leads and grows an engineering team building and operating a scalable Kubernetes-based cloud-native platform. Partners with product and leadership on roadmap execution, drives technical excellence, reliability, security, and operational efficiency, and manages delivery timelines and resources in an Agile environment. The role also mentors engineers, supports career development, fosters inclusion, and oversees hiring and retention while ensuring high availability and strong software development practices.

Design and operate high-volume batch and streaming pipelines for cloud usage metering and billing. Build rating logic, data lakehouse systems, Airflow workflows, and production Python and Spark or Flink jobs. Develop reconciliation and data-quality checks with auditable billing trails, while contributing tested code, code reviews, and engineering standards. The role requires deep SQL, cloud, and large-scale data engineering experience.

Leads enterprise AI transformation initiatives, initially focused on Accounting and Finance. Assesses processes, builds and manages an AI roadmap, develops business cases, oversees cross-functional implementations, manages vendors and budgets, drives adoption, and measures productivity, cost, accuracy, and ROI improvements.