Bounteous

QA Engineer

• Quality Assurance Execution: Execute comprehensive test cases, identify data discrepancies, and document defects to ensure the integrity and accuracy of our data pipelines and reporting structures.
• Data Validation & Verification: Query and analyze complex data sets to verify that information processing through our systems aligns perfectly with established business logic and specifications. A strength here is a must.
• Process Optimization: Contribute to maintaining and continuously improving QA documentation, standard operating procedures, and testing frameworks to ensure repeatable, scalable processes.

QA Analyst

Consultant

• Serve as the day-to-day platform consultant for clients, providing strategic guidance on Customer Data Platform (CDP) capabilities, use cases, and activation strategies.
• Develop a deep understanding of each client’s business objectives, marketing strategy, and available customer data to ensure CDP initiatives support measurable marketing outcomes.
• Lead discovery sessions, stakeholder interviews, and requirements gathering to identify opportunities for CDP-driven marketing use cases.
• Translate marketing and business requirements into clear CDP business and technical requirements for identity resolution, data governance, data modeling, data ingestion, segmentation, channel activation, and audience reporting in partnership with Solution Architects and engineering teams.
• Support product and strategy teams to prioritize activation-focused CDP use cases that support segmentation, personalization, and cross-channel customer engagement.
• Define activation strategies that leverage downstream orchestration channels such as paid media, email, SMS, web personalization, and other channels commonly found in marketing automation platforms.
• Partner with other platform consultants to create and maintain solution documentation for CDP and orchestration platforms.
• Serve as the platform subject matter expert for each client’s CDP implementation, advising on platform capabilities, limitations, and best practices.
• Manage incoming platform-related requests and collaborate with internal teams to prioritize and deliver CDP enhancements and activation initiatives.
• Work closely with the Project Management team to coordinate delivery timelines and manage multiple concurrent initiatives.
• Provide hands-on guidance and enablement to client teams, helping them operationalize CDP capabilities and maximize value from their marketing technology investments.

Adobe RTCDP Consultant – Contract

Manager

• Mature and expand the adoption of testing and personalization projects at Bounteous along with the supporting technology
• Demonstrate a proven track record in developing testing and personalization strategies aligned with client business objectives
• Evaluate campaign effectiveness through report generation, insights provision, next-step delineation, and iterative testing plan refinement.
• Maintain thorough documentation of testing and personalization processes, continually seeking areas for optimization.
• Oversee the configuration, administration and operation of CRO platforms to support multi-channel campaigns
• Audit Adobe Target and Adobe Experience Platform (AEP) audiences to identify overlap, collision risk, audience refresh cadence, and cross-activity conflicts impacting personalization experiences.
• Analyze audience qualification and activation strategies across Adobe Target activities, including quantifying overlap rates, identifying conflicting messaging/experiences, and documenting current prioritization approaches.
• Develop scalable governance recommendations for audience creation, sharing, lifecycle management, and experience prioritization across AEP and Adobe Target.
• Define best practices for audience strategy, including audience granularity, recency windows, trait usage, overlap mitigation, and Target activity structuring, with clear “good vs. bad” implementation examples.
• Partner with stakeholders to align on intended audience experiences, platform limitations within AEP, and recommended frameworks to improve personalization consistency and reduce experience conflicts.

Personalization Manager

ServiceNow

• Design, build, and configure ServiceNow applications and modules across ITSM, HRSD, and SPM, including workflows, service catalog items, business rules, client scripts, UI policies, and script includes .
• Develop and maintain Flow Designer automations, IntegrationHub spokes, and custom REST/SOAP integrations with third-party enterprise systems.
• Build and optimize Service Portal pages, widgets, and UI components to deliver intuitive self-service experiences.
• Implement and maintain Virtual Agent (VA) conversations and Natural Language Understanding (NLU) models for automated service delivery.
• Write clean, efficient, and well-documented server-side and client-side JavaScript following platform scripting best practices.
• Manage update sets, scoped application development, and deployment across development, test, and production ServiceNow instances.
• Perform code reviews and enforce development standards, ensuring adherence to ServiceNow best practices and client governance frameworks.
• Design and execute unit, integration, and regression test plans; resolve defects and performance bottlenecks identified during testing cycles.
• Monitor platform health, identify technical debt, and proactively recommend improvements to workflows, configurations, and integrations.
• Support ATF (Automated Test Framework) setup and maintenance to ensure continuous quality across releases.
• Develop and maintain integrations between ServiceNow and HR systems (Workday, SAP SuccessFactors), ITSM tooling, LDAP/AD, and enterprise middleware.
• Build and maintain import sets, transform maps, and data source configurations for bulk data migrations and ongoing data synchronization.
• Configure and manage CMDB population strategies, including Service Graph Connectors and Discovery integrations.
• Implement data validation, error handling, and logging frameworks within integration pipelines to ensure reliability and traceability.
• Work closely with the ServiceNow Architect to translate solution designs and technical specifications into production-ready implementations.
• Participate in Agile ceremonies&mdash;sprint planning, stand-ups, retrospectives&mdash;and contribute to accurate effort estimation and sprint commitments.
• Mentor junior and mid-level developers through code reviews, pair programming, and knowledge-sharing sessions.
• Liaise with client technical teams and business stakeholders to clarify requirements, demonstrate functionality, and gather feedback during UAT.
• Contribute to technical documentation including design specs, integration runbooks, and developer onboarding guides.

ServiceNow Architect

• Development & Configuration
• Design, build, and configure ServiceNow applications and modules across ITSM, HRSD, and SPM, including workflows, service catalog items, business rules, client scripts, UI policies, and script includes.
• Develop and maintain Flow Designer automations, IntegrationHub spokes, and custom REST/SOAP integrations with third-party enterprise systems.
• Build and optimize Service Portal pages, widgets, and UI components to deliver intuitive self-service experiences.
• Implement and maintain Virtual Agent (VA) conversations and Natural Language Understanding (NLU) models for automated service delivery.
• Write clean, efficient, and well-documented server-side and client-side JavaScript following platform scripting best practices.
• Platform Engineering & Quality
• Manage update sets, scoped application development, and deployment across development, test, and production ServiceNow instances.
• Perform code reviews and enforce development standards, ensuring adherence to ServiceNow best practices and client governance frameworks.
• Design and execute unit, integration, and regression test plans; resolve defects and performance bottlenecks identified during testing cycles.
• Monitor platform health, identify technical debt, and proactively recommend improvements to workflows, configurations, and integrations.
• Support ATF (Automated Test Framework) setup and maintenance to ensure continuous quality across releases.
• Integration & Data Management
• Develop and maintain integrations between ServiceNow and HR systems (Workday, SAP SuccessFactors), ITSM tooling, LDAP/AD, and enterprise middleware.
• Build and maintain import sets, transform maps, and data source configurations for bulk data migrations and ongoing data synchronization.
• Configure and manage CMDB population strategies, including Service Graph Connectors and Discovery integrations.
• Implement data validation, error handling, and logging frameworks within integration pipelines to ensure reliability and traceability.
• Collaboration & Delivery
• Work closely with the ServiceNow Architect to translate solution designs and technical specifications into production-ready implementations.
• Participate in Agile ceremonies—sprint planning, stand-ups, retrospectives—and contribute to accurate effort estimation and sprint commitments.
• Mentor junior and mid-level developers through code reviews, pair programming, and knowledge-sharing sessions.
• Liaise with client technical teams and business stakeholders to clarify requirements, demonstrate functionality, and gather feedback during UAT.
• Contribute to technical documentation including design specs, integration runbooks, and developer onboarding guides.

Senior ServiceNow Developer

AI Engineer

• Work as senior technical role on a delivery pod
• Review what the AI produces
• Decide what to build

• Implement proof of concept through production-ready capabilities that directly improve clinical trial processes for a large system supporting cancer clinical trials.
• Design, build, and deploy autonomous AI agents capable of understanding high-level goals, planning actions, and executing tasks with minimal human intervention.
• Utilize frameworks like LangChain, LangGraph or CrewAI to build LLM-powered workflows.
• Build robust backend services (Python/REST API/Node.js) and Spring boot RESTful APIs to support agent orchestration and user interfaces.
• Create intuitive interfaces (React, Next.js, TypeScript) for users to monitor, configure, and intervene in AI agent workflows with human-in-the-loop.
• Develop custom tools, plugins, and Model Context Protocol (MCP) servers to securely expose internal services, APIs, and databases to LLMs.
• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Deploy AI applications on cloud platforms (AWS, Azure, or GCP) using Docker, Kubernetes, and CI/CD pipelines.
• Implement observability, logging, tracing (e.g., LangSmith, Langfuse), and guardrails to monitor AI performance, cost, and safety.

Full Stack AI Developer

Salesforce Developer

• Lead Salesforce development teams across multiple projects and initiatives
• Provide technical direction, architecture guidance, and code review oversight
• Drive best practices for Salesforce development, deployment, and governance
• Mentor and coach junior and mid-level developers
• Collaborate with Solution Architects and business stakeholders to define scalable technical solutions
• Design, develop, and implement enterprise Salesforce solutions using Apex, Lightning Web Components (LWC), Salesforce Flow, Visualforce, SOQL/SOSL, REST/SOAP APIs
• Analyze existing Salesforce orgs and identify opportunities for optimization and refactoring
• Lead integration efforts between Salesforce and third-party enterprise applications
• Support lead-to-cash, quote-to-order, case management, and customer support processes

Salesforce Technical Lead – Contract

Product Manager

• Define product vision, roadmap, and execution strategy for AI-driven products and platforms.
• Partner with engineering, AI, data, and infrastructure teams to deliver scalable AI solutions.
• Drive product discovery, requirements definition, prioritization, and go-to-market planning.
• Collaborate on capabilities including model serving, orchestration, data pipelines, and evaluation.
• Collaborate to define scalable architectures for AI apps~ RAG, Data integrations, and AI guardrails.
• Translate customer and business needs into features and measurable outcomes.
• Monitor product performance, adoption, reliability, and operational metrics.
• Drive stakeholder alignment across business, engineering, security, compliance, and operations.

Technical AI Product Manager

Engineer

• Design, build, and scale our cloud-based lakehouse platform.
• Own the end-to-end architecture of our data ecosystem on Databricks.
• Partner with data science and analytics teams to productionize ML and analytical workloads.
• Set the technical direction for ingestion, transformation, governance, and performance optimization across petabyte-scale datasets.
• Write production code and mentor engineers.
• Shape standards that the broader data organization will adopt.

Lead Databricks Engineer

Customer Success Manager

• Own and drive strategic outcomes across complex client engagements
• Operate as a trusted advisor and day-to-day strategic lead guiding clients through the full engagement lifecycle, from discovery and workshop facilitation through ongoing program optimization and measurement
• Bring a sharp analytical mindset and the ability to translate data and consumer insights into loyalty and CRM strategies that deliver measurable results
• Report to the VP, Loyalty Strategy and work in close collaboration with Product, Creative, Technology, and Analytics & Insights teams to bridge strategic vision with flawless execution across the full client engagement lifecycle

Lead Strategist, CRM & Loyalty

• Own and drive strategic outcomes across complex client engagements.
• Operate as a trusted advisor and day-to-day strategic lead guiding clients through the full engagement lifecycle.
• Facilitate client strategic workshops, guiding stakeholders to a shared vision, objectives and action plan.
• Develop and manage engagement roadmaps aligned to client goals, proactively identifying risks and trade-offs.
• Design and refine loyalty strategies from initial concept through deployment and ongoing optimization.
• Define and own CRM and Loyalty KPIs, building measurement frameworks and benchmarking performance.

Data Scientist

• Contribute to development and maintenance of Machine Learning models for business problems.
• Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
• Contribute towards prompt engineering for data analysis and discovery.
• Conduct regular testing and performance analysis.
• Conduct necessary bench-marking experiments.

General Counsel

• Own the end-to-end drafting, review, and negotiation of MSAs, SOWs, NDAs, and vendor agreements across digital transformation, cloud, data, and AI engagements, managing a high volume of contracts while driving deals to efficient close
• Partner closely with Commercial Finance and business stakeholders to analyze contract terms, identify risk, and deliver pragmatic, revenue-aligned solutions
• Build and scale the operational infrastructure of the legal function, including development of playbooks, templates, clause libraries, and negotiation frameworks
• Design and continuously improve legal workflows, intake processes, and reporting to support a high-throughput, global contracting environment
• Support the implementation and optimization of CLM systems and AI-enabled legal tools, including smart redlining, document analytics, obligation management, and Salesforce integration, leveraging technology to improve speed, accuracy, and consistency
• Identify and execute opportunities to automate manual work and increase efficiency across contracting and legal operations
• Work directly with the General Counsel on day-to-day legal matters, operating with high ownership in a lean, fast-paced environment
• Coordinate with a distributed global legal team to ensure alignment on standards, workflows, and delivery
• Provide broader commercial legal support across IP, privacy, employment, and vendor-related matters, using sound judgment and external counsel where appropriate. Support management of active litigation matters, contribute to the company’s privacy program, and collaborate with the compliance function on U.S. regulatory matters.

Senior Legal Counsel

• Lead analytics projects; collaborate effectively with team members
• Translate ambiguous client needs into structured analytics solutions using Adobe Analytics and Customer Journey Analytics
• Uncover insightful analysis, create dashboards and reporting in Adobe Analytics and CJA Workspace
• Report on Adobe Target experimentation and testing in Adobe Analytics and CJA, analyze user behavior to inform testing and optimization opportunities
• Provide and evangelize best-in-class documentation and enablement
• Conduct highly customized, hands-on training sessions
• Demonstrate a grasp of the fundamental importance of clean data to empower successful digital marketing initiatives, in support of larger business objectives
• Ensure client expectations are met and results are delivered
• Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
• Exemplify good consulting skills, diplomacy, and effective messaging, and mentor team members in the same vein; share expertise freely
• Adapt to a fast-paced work environment and have the ability to overcome technical and business challenges
• Demonstrate high intellectual bandwidth, as well an ability to prioritize and work on the right things at the right time
• Volunteer suggestions for team improvement and take the time to help push initiatives forward
• Actively contribute to the greater community by participating in meet-ups, conferences, blogs, open forums, or open-source initiatives

QA Analyst

Adobe RTCDP Consultant – Contract

Personalization Manager

ServiceNow Architect

Senior ServiceNow Developer

AI Engineer

Full Stack AI Developer

Salesforce Technical Lead – Contract

Technical AI Product Manager

Lead Databricks Engineer

Lead Strategist, CRM & Loyalty

Lead Strategist, CRM & Loyalty

Data Scientist

Senior Legal Counsel

Lead Analytics Consultant, Contract