Top Hybrid Jobs

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

Develop and advance the enterprise data platform by gathering business requirements, designing data models and warehouses, and building data visualization solutions. Administer reporting, analytics, and visualization platforms while promoting best practices. Collaborate cross-functionally, apply business and process knowledge, manage multiple projects, communicate strategically, and provide technical leadership in data engineering and business intelligence.

Leads comprehensive brand strategy and activation, including brand architecture, identity systems, guidelines, campaigns, content, messaging, governance, and cross-functional alignment. Partners with creative, digital, communications, product, sales, talent, and customer experience teams to ensure consistent brand execution. Uses market research, consumer insights, KPIs, and performance analysis to improve brand initiatives and support business growth.

Generate new business through outbound prospecting, including cold calls, email campaigns, and social outreach. Build and maintain accurate prospect follow-up lists, overcome objections, develop sales pipelines, and serve as the initial contact for prospective clients. Success requires strong communication, organization, persistence, resilience, self-motivation, and relationship-building skills.

Supports client experience managers and named accounts by gathering campaign requirements, preparing reports and presentations, managing meetings, troubleshooting and QAing campaign setups, maintaining Salesforce contacts, documenting projects, and creating Photoshop email mockups. The role develops expertise in the Movable Ink platform and email ecosystem, with the opportunity to manage a client book of business independently in the future.

Supports customer success and operations for oncology accounts. Serves as a primary customer contact, coordinates integrations and renewals, supports cross-functional projects, maintains account dashboards and KPIs, updates playbooks, and provides administrative support to leadership. The role requires strong organization, communication, analytical ability, spreadsheet proficiency, and interest in healthcare technology.

Drive new-logo acquisition and account expansion across an enterprise territory with approximately $1.5M ARR quota. Manage full-cycle, multi-stakeholder sales involving prospecting, partner co-selling, solution alignment, negotiation, forecasting, and expansion. Sell cloud infrastructure and data storage solutions to enterprise customers, collaborating with AWS, Microsoft, VAR, Sales Engineering, Marketing, Channel, and Customer Success teams.

Own federal and state tax software updates from research through launch. Translate tax law changes into product requirements, calculations, UI, documentation, PDFs, e-file/XML, and test scenarios. Review targeted code changes, collaborate with engineering and quality teams, conduct regression and launch testing, and resolve filing defects and rejections with tax agencies and internal partners.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

Develop and optimize advanced SQL transformations, stored procedures, ETL workflows, and data-quality processes for large Medicaid claims and health-related social needs datasets. Build reproducible, documented data pipelines; calculate healthcare quality, equity, and disparity metrics; conduct code reviews; and collaborate with stakeholders to turn complex data into visualizations and policy insights.