Techtorch

Role Description We're looking for a Full Stack AI + Data Engineer who owns the complete product lifecycle — from discovery and ideation through to production deployment. Not a specialist who stops at the API boundary. Someone who can sit in a client session, shape the solution architecture, build the stack, and ship it. The role sits at the center of client delivery and internal accelerator development — someone who can own the full arc of a project and be the person who makes things real. What You'll Do - Own the full product lifecycle — from discovery and ideation through system design, build, and production deployment - Design and build RAG pipelines, agentic workflows, and multi-agent systems using LangGraph and the broader AI agent ecosystem - Build and compose AI capabilities using MCP servers, Skills, and Plugins — and stay sharp on how these primitives are evolving - Develop Next.js frontends that make complex AI workflows feel intuitive to end users - Build Python-based APIs and backend services using FastAPI, with PostgreSQL as the primary data store - Design and implement automation workflows using Celery, Temporal, or equivalent orchestration tools - Architect and maintain data pipelines (ETL/ELT), data models, and dbt-based analytics engineering layers - Set up and own CI/CD pipelines and cloud deployments on AWS and Azure - Leverage AI-paired programming tools (Claude Code or similar) as a daily accelerator — not as a crutch, but as a force multiplier - Translate ambiguous client requirements into clear system designs, and communicate trade-offs across both technical and business audiences - Contribute to reusable internal accelerators and technical assets within the Data Practice Qualifications - Production-grade experience across AI engineering, full-stack development, and data — with genuine depth, not just surface familiarity. - AI & GenAI Engineering - RAG pipeline design — retrieval strategies, vector stores, chunking, re-ranking, and evaluation - Agentic AI systems using LangGraph — multi-agent coordination, tool use, memory, and state management - Building and composing AI capabilities via MCP servers, Skills, and Plugins - AI-paired accelerated programming — proficient at using Claude Code or a comparable agentic coding tool as a daily productivity layer - Full Stack Development - Python — primary language, used for services, automation, and data work - FastAPI — async REST API design, dependency injection, testing - Next.js — component architecture, server-side rendering, state management, and UX sensibility - PostgreSQL — schema design, query optimization, indexing - System Design — can architect a system from a blank page: services, boundaries, trade-offs, and scale - Automation & Workflow Orchestration - Building automation workflows using Celery or Temporal — task queuing, retries, distributed scheduling - Event-driven patterns and async processing at the application layer - Data Engineering - ETL/ELT pipeline design — batch, incremental, and event-driven ingestion patterns - Data pipelining and modeling — dimensional modeling, EDW design, schema governance - dbt — transformation logic, testing, documentation, and analytics engineering best practices - DevOps & Cloud - CI/CD and deployment — GitHub Actions or equivalent, containerized delivery, environment management - Exposure to common cloud services on AWS and Azure — compute, storage, managed databases, serverless Requirements - You've shipped full-stack AI applications in production — not just demos or PoCs - You're comfortable switching between designing a data model in the morning and debugging an agentic pipeline in the afternoon - You get restless when handing things off — you'd rather own it end to end - You can explain a RAG pipeline to a business stakeholder and architecture trade-offs to an engineering team in the same day - You're opinionated about system design and can back it up Nice to have - Experience in a consulting or client-delivery environment - Contributions to open-source AI or data tooling - Exposure to multi-cloud or hybrid cloud architectures - Knowledge of MLflow, Weights & Biases, or similar experiment tracking tools - Familiarity with streaming data patterns (Kafka, Spark Streaming) Benefits - Fully remote position — work from anywhere, globally - High-autonomy, high-ownership work — you drive the technical direction - Exposure to cutting-edge AI engineering across multiple industries and use cases - Opportunity to shape the Practice's internal accelerators and reusable assets - A team of sharp engineers who take craft seriously and skip the bureaucracy

• Lead the setup of Azure foundations, including tenant review, subscription structure, management groups, and resource organization • Design and implement identity and access models in Microsoft Entra ID, including RBAC, admin groups, privileged access, MFA, break-glass accounts, and enterprise integrations • Establish a secure and pragmatic Azure baseline covering governance, policies, tagging, Key Vault, Defender for Cloud, logging, monitoring, and cost controls • Define core networking and platform patterns, including VNets, private access strategy, connectivity decisions, and deployment readiness • Implement infrastructure using Infrastructure as Code (Terraform, Bicep, or equivalent) to ensure repeatability and scalability • Deliver a documented, production-sensible environment with clear architecture decisions and configuration standards • Hand over the platform with clear operating guidance for internal owners and delivery teams • Ensure the environment is ready for downstream workloads without rework or architectural gaps

• Lead the design and implementation of Salesforce CPQ (Steelbrick) solutions that align with client business goals • Gather and analyze complex business requirements and translate them into scalable, high-performing CPQ configurations • Configure Salesforce CPQ features, including Product Rules, Price Rules, QCP, and Flows to streamline sales operations • Ensure architectural alignment with Salesforce best practices for performance, maintainability, and security • Act as a trusted advisor to clients throughout the implementation lifecycle, including post-deployment support • Drive internal and client training initiatives to maximize adoption of CPQ features • Maintain clear, concise documentation for architecture, configuration, and process flows • Stay current with Salesforce CPQ releases and related tools (e.g., DocuSign, Conga) to drive continuous innovation

Role Description As a NetSuite Administrator, you will be responsible for the day-to-day configuration, support, and optimization of NetSuite environments. You will work closely with finance users, consultants, and technical teams to ensure NetSuite operates reliably, supports business processes, and maintains high data quality. This is a hands-on role focused on system administration, user support, configuration, testing, and continuous improvement rather than solution architecture or team leadership. What You’ll Do - NetSuite Administration & Configuration - Administer and configure NetSuite modules including Financials, Order-to-Cash, Procure-to-Pay, and Record-to-Report - Manage users, roles, permissions, and access controls - Configure workflows, forms, fields, saved searches, reports, and dashboards to support finance and operations teams - Support minor enhancements and change requests following best practices - System Support & Operations - Provide day-to-day NetSuite support to business users, troubleshooting issues and resolving defects - Assist with system testing, UAT coordination, and post-release validation - Maintain system documentation, configuration logs, and user guides - Support data imports, exports, and basic data cleanup activities - Process & Data Support - Support finance and accounting processes including GL, AP, AR, Fixed Assets, and revenue workflows - Help maintain data accuracy and consistency across subsidiaries and entities - Assist with period close activities and reporting support - Collaboration & Delivery Support - Work with NetSuite consultants and architects on larger enhancements or projects - Participate in requirement clarification sessions and provide admin-level input - Escalate complex issues appropriately while ensuring operational continuity Qualifications - 3–6 years of experience administering NetSuite in enterprise or consulting environments - Solid understanding of finance and accounting processes (GL, AP, AR, reporting) - Hands-on experience with NetSuite configuration, saved searches, workflows, and user management - Comfortable supporting business users and translating requirements into system configurations - Experience working in multi-subsidiary and multi-currency NetSuite environments is a plus - Strong attention to detail and structured approach to system administration Requirements - NetSuite Administrator certification (preferred) or equivalent hands-on experience - Exposure to integrations or middleware tools (e.g., Celigo, Workato) is a plus - Prior experience in a consulting or professional services environment is advantageous Benefits - Hands-on role supporting critical NetSuite environments - Exposure to private equity-backed enterprise operations - Opportunity to grow into senior admin or consultant roles over time - Global, collaborative team with strong delivery culture - Flexible, remote-first working environment

• Engage with client stakeholders across business functions to identify data needs, KPI definitions, and reporting objectives. • Translate business problems into structured data use cases, defining the questions that analytics and BI deliverables must answer. • Perform data profiling and validation to assess data quality and flag issues for data engineering and architecture teams. • Develop dashboards, reports, and data visualizations (Tableau, Power BI) that communicate findings to executive and operational stakeholders. • Act as a liaison between client business units, TechTorch delivery managers, and technical data teams. • Collaborate with data engineers and architects on source-to-target mappings and conceptual data model reviews.

• Personally originate, develop, and close new business across: - Private Equity firms - Portfolio companies (primary buyers) - Direct enterprise opportunities - Channel and partner pathways (as applicable) • Leverage your existing Private Equity and executive network to access decision-makers, while also building new relationships across North America and Europe • Drive a disciplined, consultative sales process from initial client outreach through close, including: - Diagnosing revenue and margin growth challenges - Positioning TechTorch’s AI-powered solutions in a business-impact context - Navigating multi-stakeholder buying environments • Generate new opportunities through both existing relationships and proactive outbound efforts beyond your current network • Partner with delivery leadership to ensure a seamless client experience from sale through engagement • Engage credibly with C-suite, commercial leaders, and operating partners • Demonstrate fluency in front-office and commercial effectiveness topics, including: - AI-enabled commercial optimization and decision support - Commercial strategy and revenue growth execution - Pipeline performance and conversion improvement - Sales productivity and performance optimization - Pricing strategy and commercial decisioning • Translate client challenges into high-value consulting engagements with clear ROI • Partner closely with founders and delivery leadership on deal strategy and complex pursuits • Help shape proposals and commercial structures that accelerate deal closure • Own and manage your pipeline end-to-end, with clear visibility into deal progression and close timing • Ensure continuity from sale to delivery, maintaining credibility with clients

• Configure and implement Salesforce Marketing Cloud using out-of-the-box capabilities, with a strong focus on Marketing Cloud Next • Design and build customer journeys, automations, and segmentation using Journey Builder and related tools • Configure data models, data extensions, and integrations with Salesforce CRM and other data sources • Support email, SMS, and multi-channel campaign execution using standard Marketing Cloud features • Collaborate with business stakeholders to translate marketing requirements into scalable platform configurations • Ensure solutions follow Salesforce best practices for performance, data management, and maintainability • Support testing, deployment, and user enablement for Marketing Cloud solutions • Troubleshoot configuration issues and optimize existing Marketing Cloud setups

• Conduct deep-dive audits of client Salesforce data to identify duplicates, inconsistencies, and structural gaps. • Lead the hands-on configuration of data management tools such as DataGroomr, Cloudingo, or DemandTools. • Design and execute complex deduplication logic, ensuring that merging records does not break critical relationships with Subscriptions, Opportunities, or Account Products. • Establish Master Data Management governance models to ensure data remains "clean" post-migration. • Ensure data is structured correctly for seamless synchronization with downstream systems like NetSuite or other ERPs. • Manage how data cleaning operations interact with existing Salesforce Flows, Triggers, and validation rules to avoid system conflicts. • Implement automated processes for data normalization (address validation, phone formatting, industry mapping). • Build Data Health Dashboards to provide real-time visibility into data accuracy and the progress of cleanup initiatives.

• Configure and implement Salesforce Marketing Cloud using out-of-the-box capabilities, with a strong focus on Marketing Cloud Next • Design and build customer journeys, automations, and segmentation using Journey Builder and related tools • Configure data models, data extensions, and integrations with Salesforce CRM and other data sources • Support email, SMS, and multi-channel campaign execution using standard Marketing Cloud features • Collaborate with business stakeholders to translate marketing requirements into scalable platform configurations • Ensure solutions follow Salesforce best practices for performance, data management, and maintainability • Support testing, deployment, and user enablement for Marketing Cloud solutions • Troubleshoot configuration issues and optimize existing Marketing Cloud setups

• Lead new business development within the Private Equity ecosystem, leveraging your network of Operating Partners, PE firms, and portfolio executives. • Proactively originate new commercial opportunities by identifying portfolio companies undergoing transformation across AI, data, CRM, and enterprise systems. • Build and maintain trusted relationships with Operating Partners and C-level leaders within portfolio companies. • Drive lead generation and commercial expansion across both new clients and existing accounts. • Convert originated leads into qualified opportunities by shaping client needs, defining value propositions, and structuring transformation initiatives. • Own the full sales lifecycle for originated opportunities - from initial engagement and discovery through proposal development, commercial structuring, and deal closure. • Lead proposal development and shape RFP responses, Statements of Work, and commercial models aligned to client outcomes. • Partner with TechTorch leadership to define account strategies and identify transformation opportunities across PE portfolios. • Oversee delivery across multiple transformation engagements, ensuring outcomes, timelines, and quality standards are met. • Lead and mentor Delivery Managers, ensuring strong execution across programs. • Serve as an executive advisor to clients, helping them identify operational improvements, technology modernization opportunities, and AI-driven efficiencies. • Represent TechTorch in the market through industry presence, thought leadership, and relationship building within the PE ecosystem.