Jobs at TechTorch

The Delivery Manager will lead complex Lead-to-Cash transformations, manage client engagements, design AI-driven solutions, and mentor junior staff.

Lead Salesforce solution architecture for Quote-to-Cash and services automation. Design integrations with ERP/HCM/billing, set governance and standards, recommend AppExchange tools, drive AI-native delivery, and mentor delivery teams to implement scalable Salesforce-based professional services solutions.

Lead end-to-end design of seller experiences in a customized Salesforce environment, creating high-fidelity Lightning prototypes, integrating sales and marketing tools, and designing AI-enabled workflows. Provide detailed specs and SLDS-compliant deliverables, collaborate with engineers and stakeholders, and focus on measurable adoption and scalable, low-friction seller workflows.

Design, build, and operate scalable data pipelines and platforms (Snowflake, Databricks, Delta Lake). Implement dbt models, semantic layers, data quality, orchestration (Airflow/Dagster/ADF), and DevOps for data. Build AI-enabled pipelines for RAG, embeddings, vector stores and integrate LLMs into ETL. Ensure reliability, monitoring, and cost-effective cloud architectures across AWS and Azure.

In this role, you'll manage NetSuite day-to-day operations, support users, optimize configurations, and ensure data quality within financial processes.

Drive revenue by selling AI solutions and consulting services to PE portfolio companies and Fortune 1000 accounts while managing complex sales cycles and building relationships with decision-makers.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

The AI Software & Data Engineer will design and build full-stack systems, data platforms, and AI prototypes, integrating AI capabilities for enterprise solutions.

The Business Analyst supports the design and delivery of Lead-to-Cash initiatives, focusing on CPQ, pricing strategy, and AI-driven transformation, while collaborating with stakeholders to define requirements and ensure project success.

The Full Stack Data Engineer will design and build scalable data pipelines, optimize Snowflake architecture, develop dashboards and analytics solutions, and collaborate with cross-functional teams to ensure data reliability and meet business requirements.

The Business Analyst will bridge business and technology by analyzing processes, gathering requirements, creating reports, and supporting AI and CRM initiatives. Responsibilities include team collaboration, documentation, and delivering scalable solutions.

The Senior Data Architect will own end-to-end data and AI solution design across cloud platforms, lead data architecture disciplines, and support AI/ML use cases in a client-focused consulting environment.

As Managing Director, you will drive new business and lead transformation initiatives in the Private Equity sector, leveraging your extensive network and commercial acumen.

As a DevOps Engineer, you will design cloud infrastructure, build CI/CD pipelines, implement security controls, and support multi-cloud operations primarily on AWS.

Design and build modern data pipelines and AI-ready platforms using Snowflake and AWS services, ensuring high-quality, accessible data for analytics and ML applications.

The Azure DevOps Engineer will design and implement a secure Azure environment, focusing on governance, security, networking, and infrastructure using IaC, ensuring readiness for application development.