Jobs at ShyftLabs

The Account Manager will oversee client relationships, ensuring account success, managing multiple workstreams, and identifying opportunities for growth and improvement.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

Seeking a motivated Software Developer to design and develop software applications, collaborate on architectural standards, and engage in agile practices.

Own strategy, roadmap, and delivery of analytical data products. Lead client discovery, prioritize backlogs, run Agile ceremonies, and ensure launches. Collaborate with engineering and data teams on data quality, governance, architecture (Snowflake, BigQuery, ClickHouse, Databricks, Redshift), perform SQL validation, and drive product adoption and continuous improvement.

The Account Executive will manage strategic accounts in commerce media, driving revenue retention, new business opportunities, and leading account growth while collaborating cross-functionally and maintaining pipeline hygiene.

The Account Manager will manage client relationships, coordinate internal teams, monitor account health, and drive account growth strategies for strategic clients.

The role involves managing key client accounts, driving new business, guiding commerce media strategies, and collaborating cross-functionally to enhance client outcomes.

The Senior Backend Developer will design scalable backend systems, develop APIs, and ensure system performance while collaborating with teams.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.

Design and build scalable batch and streaming data pipelines, optimize ETL/ELT workflows and SQL workloads, manage ClickHouse clusters and large analytical databases, build ingestion from MongoDB/Postgres/Kafka/APIs, and implement monitoring and anomaly detection while partnering with Product, Analytics, and Backend teams.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Responsible for managing HR initiatives, ensuring compliance, overseeing talent acquisition, and developing employee performance systems while fostering a positive work culture.

Lead end-to-end delivery of large enterprise cybersecurity programs, manage timelines, risks, dependencies, and stakeholders; drive Agile delivery as Scrum Master; partner with engineering, security, compliance teams; report program health and resolve cross-team roadblocks.

Design, develop, and maintain Java microservices for order processing and inventory updates; build RESTful and message-driven integrations (Kafka/ActiveMQ/JMS); ensure HA, scalability, and security; support CI/CD and containerized deployments (Docker/Kubernetes); troubleshoot production issues and collaborate with product, architecture, and operations teams.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

Design, build, and maintain scalable batch and real-time ETL/ELT pipelines on GCP, manage BigQuery data warehouse, implement data models and transformations in SQL/Python, enforce data quality and governance, optimize infrastructure for performance and cost, and collaborate with analysts and data scientists to enable BI consumption.

The Senior Manager, Business Operations will lead contract management, support financial operations, ensure compliance, and optimize internal processes while enhancing client relations and business strategy execution.

Lead a team of engineers to develop AI applications, drive architectural decisions, mentor staff, and implement agile practices for innovative AI products.