TechTorch

Business Analyst

• The Business Analyst supports the design and delivery of engagements across L2C, including Lead-to-Order, Configure Price Quote (CPQ), broader deal management, and post-sale support.
• Beyond hands-on functional knowledge across CPQ, Sales, Pricing, Product, and Revenue Operations, you will support identifying business and technology gaps for clients, co-creating solutions with client middle-management and senior TechTorch leaders, and contributing to the successful delivery of complex, large-scale strategy and consulting projects.
• Support functional workstreams within broader Lead-to-Cash client initiatives, with a focus on CPQ, pricing strategy, quote generation, and deal lifecycle management.
• Co-create future-state L2C processes that support business models, including complex product configurations, services, and bundled offerings.
• Take on Product Owner responsibilities for custom AI-agents to ensure they are fit for purpose and effective in solving our clients’ business problems.
• Support the design and delivery of AI-driven L2C transformation initiatives, partnering with business and technology stakeholders to embed AI-agents and automation across CPQ, pricing, and revenue operations processes.
• Partner with client stakeholders to collect business requirements and translate them into functional specifications, user stories, and system configuration documentation to support solution implementation.
• Support the planning and facilitation of working sessions and workshops focused on product configuration models, pricing structures, deal workflows, and approval frameworks.
• Drive daily project delivery activities to ensure quality and on-time delivery, coordinating with onshore and offshore teams.

Business Analyst, L2C

Data Engineer

• As an AI Software & Data Engineer, you will design and build full-stack software systems, data platforms, and AI-powered MVPs for TechTorch clients.
• Work end-to-end — from React/Next.js frontends, through backend development in Python and data pipelines, to AI model integration and deployment — owning solutions from concept through production.
• Design and build full-stack applications, including frontend interfaces using React and Next.js, backend services and APIs using Python and cloud-native patterns.
• Develop secure, scalable application logic that integrates with data platforms and enterprise systems. Implement CI/CD pipelines, testing, and production-readiness standards.
• Collaborate closely with product, data, and AI teams to deliver cohesive user experiences.
• Design, build, and maintain scalable data pipelines and ELT workflows. Model and manage data in modern data platforms (e.g., Snowflake, Redshift, BigQuery, lakehouse architectures).
• Ensure data quality, performance, and lineage across structured and semi-structured data. Enable analytics, reporting, and downstream AI use cases through well-designed data foundations.
• Build AI prototypes and MVPs end-to-end for clients — from data ingestion to user-facing experience. Integrate AI/ML capabilities into software and data workflows (e.g., NLP, document intelligence, classification, anomaly detection).
• Leverage modern AI platforms and services such as AWS Bedrock, SageMaker, Snowflake Cortex, OpenAI. Support feature engineering, inference pipelines, and AI-enabled automation.
• Ensure AI solutions are observable, explainable, and suitable for enterprise and regulated environments.

AI Software Data Engineer

Sales

• Solution Architecture: Design scalable, high-performance Salesforce solutions with emphasis on PSA and services automation.
• Platform Strategy: Provide thought leadership on integrating Salesforce core clouds (Sales, Service, Experience, and Revenue) with PSA solutions.
• Implementation Leadership: Partner with business stakeholders, technical teams, and delivery partners to transform business requirements into effective technical solutions.
• Integration Design: Architect and oversee integrations between PSA solutions, ERP systems, financial platforms, and other business applications.
• Governance & Standards: Develop best practices, development standards, and architectural guidelines for Salesforce implementations.
• Innovation: Assess and recommend new Salesforce features, AppExchange apps, and third-party tools that enhance services automation and operational excellence.
• Mentorship: Serve as a trusted advisor to stakeholders while mentoring development teams in Salesforce architecture and delivery best practices.

Salesforce CPQ Architect

Manager

• Responsible for designing and delivering engagements across L2C.
• Lead functional workstreams within broader Lead-to-Cash client initiatives.
• Define and design future-state L2C processes that support business models.
• Oversee the design and delivery of AI-driven L2C transformation initiatives.
• Convert business requirements into functional specifications, user stories, and system configuration documentation.
• Implement capabilities within Lead-to-Cash platforms.
• Partner with client stakeholders across Sales, Pricing, Product Management, Revenue Operations, and IT.
• Coach and mentor junior team members.

Delivery Manager, L2C

Solutions Engineer

• Design and implement enterprise data architectures spanning Source of Origin (SOO), System of Record (SOR), and Common Data Model (CDM/Curated) layers
• Lead core data architecture activities including data modeling (conceptual, logical, physical), master data management, reference data, metadata, lineage, and governance frameworks
• Build scalable batch and real-time data pipelines and data products leveraging lakehouse and warehouse patterns
• Architect and support end-to-end deployment of AI/ML solutions on data platforms, including feature engineering, model integration, orchestration, and monitoring
• Work hands-on with engineering teams to deliver production-grade solutions with proper CI/CD, security, performance optimization, and observability
• Partner with business stakeholders and technical teams to translate requirements into clean, scalable technical designs that align with PE value creation objectives

Senior Data Architect, AI, Data Architecture

• Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
• Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
• Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
• Integrate and operationalize AI workflows using AWS Bedrock and related AWS services (e.g., Lambda, Step Functions)
• Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
• Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams
• Ensure data quality, observability, and governance across pipelines and AI workloads
• Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
• Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability

Business Analyst, L2C

AI Software Data Engineer

Salesforce CPQ Architect

Delivery Manager, L2C

Senior Data Architect, AI, Data Architecture

AI Data Engineer