Top Tech Jobs & Startup Jobs in Nashville, TN

The PPC Specialist develops and executes PPC campaigns on various platforms, analyzes performance, conducts keyword research, manages bids, and collaborates with teams to optimize for ROI while staying current with industry trends.

The Google Business Profile Expert will manage client Google My Business listings, ensuring proper verification and optimization while maintaining excellent communication and adaptability to various software systems.

The PPC Specialist will manage and optimize PPC campaigns across various platforms to drive traffic, generate leads, and maximize ROI. Responsibilities include analyzing campaign performance, conducting keyword research, and collaborating with teams to align campaigns with business objectives.

Own expansion sales for a book of mid-market construction customers: identify, position, and close upsell opportunities; conduct business reviews; manage pipeline in HubSpot; build trusted relationships with finance and operations stakeholders; partner with CRO and Customer Success; represent Finvari in meetings and events; provide customer feedback to Product and Leadership.

The Regional Sales Manager will develop sales strategies, build relationships with healthcare decision-makers, manage the sales cycle, and meet sales targets.

Own end-to-end state launch projects: translate state QAPs into system logic, run scripts, validate scoring with SQL, perform QA, maintain updates, and support customers on scoring and rules.

Run high-quality outbound prospecting to identify and engage affordable housing developers, qualify leads, and book demos. Manage CRM and pipeline, personalize outreach across email/phone/social, collaborate with marketing and sales leadership, and iterate messaging to improve conversion and pipeline velocity.

Lead IT operations, enterprise applications, and infrastructure. Manage Google Workspace, Microsoft 365, HubSpot, Hootsuite, cloud environments (AWS/Azure/GCP), device lifecycle, monitoring, backup and disaster recovery. Oversee IT support, onboarding, incident response, vendor relationships, and IT team development while collaborating with business leaders to ensure reliable, scalable technology and service delivery.

Lead client delivery for AI-driven marketing transformation: run discovery, build scopes and roadmaps, coordinate teams, track timelines/budget/risks, provide status reporting, and ensure measurable outcomes.

Develop and execute targeted sourcing strategies to identify and engage technical talent across multiple engineering domains; build and maintain candidate pipelines; conduct initial screens and assessments; collaborate with recruiters and hiring managers; maintain ATS data integrity and track sourcing metrics to optimize processes.

Lead organizational change for finance transformation initiatives: develop change strategies, stakeholder assessments, communications, training, adoption metrics, readiness dashboards, and playbooks while partnering with Finance, IT, HR, and executives to drive adoption and measurable outcomes.

Lead global finance transformation programs end-to-end: design future operating models, implement ERP/automation/AI initiatives, manage program delivery, drive organizational change, and develop high-performing teams to realize measurable finance improvements.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.

Hands-on platform engineering lead supporting platform modernization, API integrations, Azure migrations, DevOps readiness, data migration (PHI/PII aware), risk identification, and technical documentation while coordinating cross-functional teams.

Lead credit risk analytics for credit card and personal loan portfolios: develop ML-driven credit strategies, monitor portfolio performance, run A/B tests, forecast credit losses and stress tests, ensure regulatory compliance, and partner across Product, Engineering, Legal and Marketing.

Design, build, and evaluate machine learning models and scoring systems to detect fraud and scams across voice and IVR. Analyze fraud patterns, support investigations, productionize research with engineering, improve identity signals, and maintain reproducible research and evaluation pipelines.