Jobs at Shyftlabs

• Conduct advanced data analysis, exploratory data analysis, statistical modeling, and hypothesis testing to identify trends, performance drivers, and actionable business insights.
• Analyze Retail Media Network (RMN) campaign performance, attribution, return on ad spend (ROAS), and incrementality to evaluate advertising effectiveness and identify optimization opportunities.

• Partner with the SVP and Strategy team on internal business initiatives, strategic narratives, and sales prospecting strategy.
• Build clear, concise, and visually compelling sales decks, use case presentations, and collateral.

• Create graphics, visuals, and short-form content for social media, pitch decks, and marketing materials.
• Help keep branding consistent across decks, social posts, and customer-facing assets.

• Define and maintain enterprise security standards, reference architectures, and configuration baselines for next-generation firewalls, intrusion prevention and detection systems, web filtering, TLS inspection, and secure web gateways. Review client network designs and implementations to ensure alignment with security requirements and industry best practices.

• Serve as a key product management partner to the client's Data & Analytics team, acting as the bridge between Quality business stakeholders, IT, data teams, and external implementation vendors.
• Facilitate stakeholder discussions and requirements-gathering sessions to understand business needs, define priorities, and translate requirements into actionable product deliverables.

• Lead Client-Facing Architecture Discussions: Work directly with client stakeholders to understand business objectives, technical requirements, existing data environments, and architectural challenges. Translate these needs into practical, scalable data architecture solutions.
• Define Enterprise Data Architecture: Design and recommend modern data platform architectures u...

• Partner directly with enterprise clients to understand business objectives, identify AI opportunities, and translate requirements into scalable GenAI and agentic AI solutions.
• Lead technical discovery sessions, architecture workshops, and solution design discussions with client stakeholders and cross-functional teams.

• Own the end-to-end product strategy, vision, roadmap, and execution for one or more technical product lines.
• Lead products through the full lifecycle, from discovery and problem definition through development, launch, adoption, and continuous improvement.

• Own the roadmap for one or more data and AI product lines — you set priorities, you defend the trade-offs, and you're accountable for the results.
• Run discovery directly with enterprise clients and internal stakeholders to identify high-value problems worth solving, and separate them from the noise.

• Lead the architecture, design, and implementation of enterprise-scale data platforms from project inception through production deployment.
• Own technical delivery across multiple client engagements while ensuring high-quality engineering standards.

• Personally design, build, and operate the cloud infrastructure, CI/CD pipelines, and underlying platform that our production, QA, and development environments run on.
• Write the automation, IaC, and tooling yourself, including Terraform modules, deployment scripts, and glue code that removes manual work for the whole team.

• Build and improve agent orchestration and multi-agent workflows.
• Develop agentic applications for enterprise use cases using Continuum.

• Own the end-to-end lifecycle of analytical data products, from discovery and roadmap planning through delivery, adoption, and continuous improvement.
• Define product vision and priorities aligned with client business objectives and organizational strategy.

• Responsible for the development, optimization and delivery of cloud computing solutions, hosted services and underlying software infrastructure to optimize service delivery across production, QA and development environments through the development lifecycle
• Supports and troubleshoots scalability, high availability, performance, monitoring, backup and ...

Position Overview:

We at ShyftLabs are seeking a highly motivated and curious Software Developer to join our growing engineering team. This role is ideal for students who are excited to learn, eager to build, and passionate about working on real-world challenges in a fast-paced, agile environment.

• Assist in building and integrating AI-powered features into backend applications and workflows
• Work with LLM APIs, machine learning models, and automation pipelines to support intelligent product experiences

• Architect and implement AI-powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration
• Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable, production-grade backend systems

• Design and development of scalable, service-based architectures (front-end and back-end), while remaining hands-on in coding and delivery
• Architect and implement system integrations across internal services and third-party platforms (REST, GraphQL, event streams, webhooks, ETL pipelines)

• Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
• Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.