Software Engineering Manager

Drive the strategy and design of scalable data platforms.

Provide technical leadership in architecture and design reviews.

Lead the design and delivery of scalable data platforms.

Provide technical leadership and oversee project completion.

Drive strategy and delivery of scalable data platforms.

Provide technical leadership through architecture and design reviews.

Develop scalable ML infrastructure.

Collaborate with data scientists.

Develop generative AI models for natural language processing.

Create and manage data pipelines for business applications.

Implement scalable ELT architecture.

Engage in data modeling.

Migrate from transactional databases to analytical data warehouses.

Create real-time data ingestion systems.

Optimize and scale data delivery pipelines.

Architect and maintain high-throughput data infrastructure.

Optimize and scale data delivery pipelines.

Architect and maintain high-throughput data infrastructure.

Lead optimization of data delivery pipelines.

Architect and maintain data pipelines and infrastructure.

Lead API design and development.

Optimize API payloads and reduce redundancy.

Develop and maintain data analytics and MLOps solutions.

Collaborate with a distributed team on software engineering projects.

Define direction and initiatives for the engineering team.

Build and maintain automated delivery pipelines.

Lead the design and development of cloud services.

Optimize infrastructure for scalability and elasticity.

Develop CI/CD pipelines for applications.

Optimize AWS application performance.

Design and build reference architectures.

Productionalize customer use cases.

Own and manage a named FS account list.

Drive net new ARR and expansion revenue.

Nurture prospects and support customers.

Conduct technical discovery and qualification workshops.

Prototype innovative ideas in observability.

Define technical direction for new product areas.

Lead and scale the Solutions Engineering team.

Develop strategies for customer acquisition and retention.

Define the vision and roadmap for the segmentation platform.

Build and operate a high-quality segmentation data product.

Lead the team for Spark Connect.

Ensure platform reliability and scalability.

Lead elite sales teams in complex opportunities.

Drive internal sales leadership and processes.

Own the roadmap for data products.

Collaborate with teams to scale data assets.

Define and manage data platform requirements.

Elicit and align stakeholder requirements.

Develop analytics capabilities across business units.

Improve development patterns and foundational datasets.

Define and execute data science strategy.

Lead AI/ML initiatives in healthcare/insurance.

Design and maintain marketing analytics data models.

Collaborate with cross-functional teams to define data needs.

Lead the centralized analytics function.

Develop and execute analytics vision and strategy.

Lead the company's analytics function.

Oversee data use cases and analytics platforms.

Define a research roadmap for strategic questions.

Lead quantitative research on user behavior.

Lead a team of product analysts.

Define and drive the analytical vision.

Lead and develop multiple data sub-teams.

Manage Data Lakehouse architecture and tooling decisions.

Design systems for product telemetry and analytics.

Ensure data reliability and scalability.

Lead the analytics engineering team to scale the data warehouse.

Mentor and provide feedback to junior engineers.

Design and maintain scalable data models.

Apply software engineering practices to analytics code.

Own end-to-end data architecture.

Build and manage batch data pipelines.

Lead and develop data teams.

Own and manage Data Lakehouse architecture.

Design and maintain data pipelines.

Optimize SQL queries and data models.

Provide data-driven insights for marketing strategy.

Measure impact of community and advocacy programs.

Lead and develop data teams.

Manage Data Lakehouse architecture.

Provide data-driven insights for marketing strategy.

Measure impact of community and advocacy programs.

Partner with teams for data-driven insights.

Develop scoring models for lead prioritization.

Collaborate with healthcare clients.

Translate data challenges into insights.

Provide data-driven insights for marketing strategy.

Measure community program impacts on adoption and pipeline.

Design and maintain data models.

Collaborate with teams for metric translation.

Build a self-service analytics system for the GTM team.

Integrate CRM, product usage, and marketing signals into a reporting model.

Provide data-driven insights for marketing strategies.

Measure impact of community and advocacy programs.

Lead and develop data engineering and analytics teams.

Manage the Data Lakehouse architecture and tooling decisions.

Transform questions into analytics recommendations.

Build models and conduct analyses for roadmap items.