Top Tech Jobs & Startup Jobs in New Orleans, LA

Analyze portfolio-level organic search performance to identify trends and opportunities, build dashboards and benchmarks, define KPIs, evaluate strategy and product impacts, partner with Product/Data/Engineering, and translate insights into clear recommendations for technical and non-technical stakeholders.

Lead and grow an account management team focused on renewals, upsells, and expansion. Own team metrics, forecasting, hiring, client relationships, and collaboration with marketing and product to drive net dollar retention and pipeline growth.

Lead end-to-end legal ownership of bank–fintech strategic partnerships: structure, draft, and negotiate complex agreements; advise on product, regulatory architecture, compliance (payments, cards, lending); partner with cross-functional teams from ideation through launch; scale legal operations using AI and automation tools.

The VP of Projects will oversee data center development, lead project teams, manage stakeholder relationships, and drive business growth in renewable energy.

Own and optimize the MarTech stack (primarily HubSpot), manage HubSpot-Salesforce integration and lead lifecycle, run campaign operations and email execution, ensure data hygiene and attribution, build reporting dashboards, and enable cross-functional teams with scalable processes and documentation.

Own the end-to-end order lifecycle for APAC sales: forecasting, CRM/ERP management, product configuration, order-to-deployment coordination, production scheduling, and cross-functional readiness to ensure accurate execution, on-time delivery, and revenue realization.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Lead architecture and execution of Faire's data platform and analytics capabilities. Build and operate scalable, secure ETL/ELT, streaming, storage, compute, orchestration, and data warehousing at petabyte scale. Drive performance, cost, monitoring, governance, and self-serve analytics; influence cross-functional teams and mentor engineers.

Lead and develop the Customer Success team, own gross dollar retention and account health, partner with Sales on renewals and expansion, translate customer feedback to Product and Data Science, modernize CS tooling and incorporate AI into the retention and expansion motion.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.