Jobs at Bounteous

Lead execution and optimization of multi-channel ABM programs (1:1, 1:few, 1:many), align campaigns with sales and field marketing, manage paid media, maintain account segmentation and intent data, monitor account-level engagement and pipeline influence, and continuously test and optimize using AI tools. Mentor one team member and coordinate creative, analytics, and execution across internal teams and partners.

Plan, execute, and track marketing campaigns (email, events, webinars, social, content) to generate leads. Create content, manage post-event outreach, coordinate collateral and partner activities, report performance, optimize programs using AI tools, and ensure information security and data privacy compliance.

Lead design, troubleshooting, and support for enterprise SAP Commerce (Hybris) eCommerce platforms. Own RCA for critical incidents, implement hotfixes/enhancements, enforce code quality, mentor developers, collaborate on release planning and governance, ensure PCI/ADA/security compliance, and cross-train teams on Hybris, Java, and GraphQL integrations.

Lead design, configuration, and implementation of Adobe Workfront and Fusion solutions. Build dashboards, reports, workflows, automation, and integration configurations. Conduct discovery with stakeholders, produce architecture documentation, provide QA, troubleshoot issues, deliver training, and provide ongoing technical support to ensure successful client adoption.

Lead and manage multiple digital projects and a small team of Project Managers from inception to delivery. Serve as Scrum Master, oversee scope, budget, timeline, risks, and stakeholder communication. Coach and mentor staff, enforce information security and data protection practices, partner with client services and business development, and implement process improvements to ensure on-time, on-budget delivery and high client satisfaction.

Senior client-facing leader driving AI-enabled digital transformation and change management across health systems, life sciences, and B2B. Defines operating models, governance, stakeholder engagement, and capability-building to ensure technology adoption, measurable ROI, and sustainable organizational change.

Lead enterprise SEO and AEO strategy across client accounts, optimizing for traditional and AI-driven search (LLMs, AI Overviews, zero-click). Execute technical and content audits, implement structured data and entity strategies, measure AI search visibility, automate reporting, collaborate cross-functionally, and manage deliverables in a contractor capacity.

Promote information security best practices, identify and report security risks, and evaluate how data is stored, processed, and transmitted. Ensure compliance with data privacy standards (GDPR, CCPA) and integrate data protection throughout the information lifecycle.

Design and lead end-to-end Adobe Experience Platform and Real-Time CDP architectures: data ingestion, XDM schema design, identity resolution, integrations with Adobe suite and enterprise systems, data governance, privacy compliance, performance optimization, and mentoring development teams while translating business requirements into scalable solutions.

Serve as a strategic analytics advisor designing and implementing Adobe Analytics and CJA solutions, conducting measurement workshops and audits, building dashboards, translating insights into action, training clients, and ensuring data security and privacy compliance.

Senior marketing technology leader who architects multi-platform MarTech solutions (Adobe and non-Adobe), advises clients, leads presales and delivery, and drives data-driven orchestration, lifecycle marketing, and governance across B2B and B2C programs.

Design and implement customer data solutions using Adobe Experience Platform and RTCDP. Configure XDM schemas, datasets, identities, and real-time profiles. Build ingestion pipelines, audience segmentation, and activation strategies. Ensure data quality, governance, and optimize platform performance while collaborating with marketing and technical teams.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.