Top Tech Jobs & Startup Jobs in Nashville, TN

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Sales Representatives assess clients' financial situations and provide tailored debt consolidation options while ensuring compliance and building trust with clients. No cold calling is involved.

Build and operate security log pipelines, SIEM detections, endpoint controls, security automation, and internal tooling across AWS, macOS, Windows, CI/CD, and infrastructure repositories. Develop primarily in Python, implement Terraform-based infrastructure and policy-as-code safeguards, integrate security tools through APIs, and embed scanning and secrets detection into developer workflows. Own the reliability and coverage of security platforms while independently driving projects and implementing fixes directly in systems managed by other teams.

Sales Representatives guide clients towards financial freedom by assessing their financial situations and providing tailored debt consolidation options without cold calling. They build rapport, ensure compliance, and can earn a competitive commission based on performance.

Lead cross-functional operations enablement programs that improve servicing scalability, compliance, efficiency, and customer outcomes. Define strategy, roadmaps, execution plans, and performance metrics; oversee knowledge management, training, technical documentation, change management, and operational readiness. Partner with Product, Engineering, Compliance, Operations, executives, and vendors across global teams. Use data and continuous improvement methods to scale processes, support launches and regulatory changes, and coach contributors.

Lead architecture, design, and delivery of Salesforce solutions for Revenue: build custom development, integrations, CPQ and CLM architecture, mentor engineers, govern platform, and partner cross-functionally to optimize Revenue systems and workflows.

Provide technical leadership for partner integrations (e.g., Shopify, Stripe), design solutions, manage project plans and timelines, support external partner technical questions, produce integration documentation, serve as SME/escalation point, recommend platform and tooling improvements, and collaborate with engineering and commercial teams to execute long-term partnership initiatives.

Lead development and delivery of training and enablement programs focused on medical economics and value-based care. Provide subject-matter expertise on risk adjustment, cost management, network optimization, and contract forecasting. Collaborate cross-functionally with product, engineering, analytics, and customer teams to embed customer workflows into content, improve adoption, and measure training impact.

Partner with Customer Success and CS Ops to build post-sales analytics: customer health scoring, renewal and renewal pipeline reporting, billing and support signal analysis, and expansion/upsell dashboards. Own dashboard ecosystem, translate stakeholder requests into scalable reporting, collaborate with Finance and Data Engineering, and leverage AI tools to accelerate analytic workflows and maintain data quality for retention and expansion decision-making.

Own and grow enterprise accounts by prospecting, building pipeline, and closing new business. Consult senior executives, develop partnership strategies, exceed revenue targets, and provide market feedback to improve product-market fit.

The Staff Credit Policy Analyst leads the development and governance of credit policies for home loans, ensuring compliance and operational efficiency while collaborating with leadership and cross-functional teams.

Designs and maintains production data pipelines, dbt models, Airflow workflows, and Snowflake datasets integrating Workday and other People systems. Owns data quality, observability, governance, row-level security, and access controls for sensitive People data. Builds semantic models and AI agents, collaborates with analysts and stakeholders, translates requirements into reliable data products, communicates technical trade-offs, and mentors other engineers.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.

Own technical strategy and architectural decisions across multiple engineering squads. Design scalable distributed systems, APIs, data models, and cloud-native platforms while building shared systems that improve delivery. Partner with product and engineering leadership, resolve ambiguous technical challenges, establish AI-assisted development practices, and mentor engineers through design reviews and cross-team collaboration. The role requires full-stack expertise and strong influence, communication, and technical leadership in a high-stakes B2B SaaS environment.

Build and maintain mission-critical ad-serving infrastructure operating at massive scale. Responsibilities include shipping production code frequently, improving engineering quality through testing and code review, developing expertise in Go and open-source technologies, and designing large-scale data stores, distributed systems, and backend architectures. The role offers measurable impact on millions of users and company revenue while working remotely with quarterly in-person gatherings.

Manage purchasing and inventory for a veterinary ecommerce and fulfillment platform: place and proof purchase orders, monitor inventory daily, perform forecasting and data analysis, coordinate with fulfillment partners, implement process improvements, run audits, report performance, and support cross-functional projects to improve purchasing efficiency.