Top Tech Jobs & Startup Jobs in Provo, UT

Own pipeline generation and enterprise sales for AI data operations services, including data collection, annotation, human-in-the-loop QA, preference data, model evaluation, red-teaming, and conversational or multimodal datasets. Scope deliverable programs with operations and AI engineering, lead proposals and negotiations, close new enterprise logos, and provide buyer insights for roadmap development.

Evaluate and improve AI-generated biomedical engineering content for technical accuracy, logical soundness, completeness, safety, and regulatory awareness. Develop realistic biomedical scenarios and reasoning tasks, review prompts and step-by-step solutions, identify errors and unsupported claims, and provide structured feedback. Assess model performance across medical devices, biomechanics, bioinstrumentation, signals, biomaterials, imaging, verification, validation, and risk management while promoting responsible communication of assumptions, limitations, and patient-safety considerations.

Own the strategy, roadmap, packaging, pricing, and growth path for Supabase Spark projects, a backend project type designed for agent-built software. Define the MVP-to-production journey, partner with engineering, growth, finance, and platform customers, and use instrumentation, experimentation, and data analysis to guide product decisions. The role is fully remote and emphasizes rapid iteration, developer tools, infrastructure, and agent-driven development.

Sources and engages candidates for high-volume and hard-to-fill roles using ATS platforms, job boards, community organizations, and recruitment channels. Reviews resumes, evaluates candidates, builds talent pipelines, and presents qualified applicants to recruiting leadership. Tracks sourcing partner and campaign performance, analyzes recruitment metrics, identifies underperforming channels, and recommends improvements and budget reallocations. Collaborates with recruitment marketing agencies and maintains candidate and partner relationships.

Own a greenfield enterprise territory from prospecting through close and account expansion. Build primarily self-sourced pipeline, navigate complex 9+ month sales cycles, engage executive stakeholders, develop account plans, and position Gong as a strategic revenue platform. Partner with SDR, Sales Engineering, and Customer Success teams while managing land-and-expand relationships. The role is fully remote in the U.S. with up to 20% customer travel.

Manage accounting, financial reporting, regulatory filings, audits, budgets, and compliance for a portfolio of captive insurance companies. Serve as the primary accounting contact for clients, senior management, regulators, auditors, and service providers. Prepare GAAP, SAP, and modified GAAP financial statements; coordinate audits; explain financial results; and support process improvements across accounting systems. The role requires strong insurance accounting knowledge, client management, analytical skills, and the ability to manage multiple deadlines independently.

Designs, develops, maintains, and executes test assets for a DoD SAP S/4HANA implementation. Translates requirements into test scenarios, cases, scripts, procedures, and data; executes functional, integration, regression, UAT, security, Fiori, and end-to-end testing; maintains traceability; documents defects; analyzes failures; supports triage, corrective actions, retesting, and production-readiness assessments.

Leads high-severity incident response for critical healthcare IT systems, coordinating technical teams, vendors, stakeholders, and executives through triage, escalation, resolution, and root cause analysis. Maintains ServiceNow documentation, supports incident, problem, and change management, analyzes trends, improves operational resiliency, mentors staff, and participates in 24/7 on-call coverage. The role is remote, includes irregular hours, and requires travel up to 25%.

Develop and deploy statistical and machine learning models, conduct exploratory analysis, forecasting, segmentation, experimentation, and AI initiatives. Translate business needs into analytical frameworks, KPIs, predictive insights, and recommendations. Collaborate with data engineering, BI, QA, and business teams to ensure data readiness, model integration, quality, governance, and auditability. Support revenue, marketing, financial, and operational decision-making through scalable analytical solutions.

Own end-to-end product programs across Product, Engineering, UX, Content, Finance, and Go-to-Market. Manage roadmaps, OKRs, delivery schedules, dependencies, risks, prioritization, launch readiness, and cross-functional decision-making. Maintain program standards, documentation, Jira data, and reporting while using delivery metrics such as cycle time and throughput to drive decisions. Influence senior leaders without direct authority and lead complex programs from planning through launch.