Jobs at AHEAD

The Specialty Solutions Engineer will design and architect technical solutions in observability, partner with sales, and support customer engagements. Responsibilities include advising on solutions, developing relationships, and participating in pre-sales documentation.

Lead presales discovery, scoping, and design of outcomes-based managed services across cloud, infrastructure, Microsoft, networking, security, and observability. Develop service scope, proposals, pricing, tooling and operational handoffs; collaborate with delivery and account teams; present solutions and SLAs to clients; and identify expansion opportunities through renewals and cross-sell.

Lead and develop a procurement team while performing hands-on procurement (~70% of time). Validate orders in Salesforce, place equipment orders via vendor portals and APIs, troubleshoot order issues, manage confirmations, support end-of-period activities, improve processes, participate in hiring/onboarding, and ensure operational governance and customer satisfaction.

Lead pre-sales technical architecture and presentations, design cloud and data center solutions, drive technical sales campaigns, mentor team members, qualify opportunities, and ensure smooth handoff to services while promoting AHEAD's Enterprise Cloud Framework.

Deploy and integrate AI-enabled SOC solutions across customer environments: design cloud-native ingestion pipelines, integrate SIEM/XDR/SOAR and tooling, implement automation and AI workflows, improve analyst experience, troubleshoot production issues, and provide technical leadership and field-facing delivery.

Lead and build an Operations Excellence function to centralize operational quality, own issue management across quote-to-cash, drive root cause analysis and corrective actions, define SOPs and automation opportunities, maintain executive reporting and scorecards, and embed continuous improvement and governance across cross-functional teams.

Lead complex data, analytics, AI, and cloud transformation engagements as a trusted advisor: manage delivery, scope, budget, stakeholders, and teams; design scalable data platform solutions; drive business development, mentoring, and practice improvements.

Hands-on technical leader designing, building, and scaling AI-powered operational capabilities for Managed Services. Deliver agentic AI workflows (triage, remediation, RAG knowledge, orchestration), integrate with ITSM, observability, and automation tools, establish guardrails, and drive adoption and measurable operational outcomes like incident deflection and MTTR reduction.

The Senior Technical Consultant leads the design and implementation of enterprise-grade technical solutions, mentors team members, and collaborates on innovations for client projects.

Support assigned Client Directors to protect and increase gross profit margin and customer satisfaction. Manage quote-to-cash transaction lifecycle, prepare pricing/proposals, maintain pipeline/forecast in Salesforce, resolve customer issues, coordinate internal teams, manage vendor and AR interactions, and maintain client records and value-add deliverables.

Lead architecture, design, development and deployment of ServiceNow solutions (ITOM preferred). Mentor teams, drive integrations, lead client workshops/demos, contribute to presales, maintain certifications, and own project delivery with at least 25% travel.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.

Lead build-and-run of an enterprise Data Platform: design and operate Snowflake architecture, data governance, access/authorization, FinOps, ingestion (batch/CDC/streaming), medallion pipelines, data product publishing, and event streaming/messaging. Recruit and lead a cross-functional team, define operating model and standards, ensure secure governed connections for analytical and operational use cases, and align platform decisions with business priorities.

Serve as a hands-on principal consultant embedded with business units to discover AI opportunities, facilitate design-thinking workshops, scope MVPs, guide platform fit, bridge business and engineering, drive adoption/change readiness, engage executives, and measure business impact through defined success metrics and reporting.

Build and operate production AI applications on enterprise GPT platforms: design agents and workflows, integrate enterprise data sources, implement APIs/webhooks, ensure security/observability, prototype and scale RAG and agentic solutions, measure model quality and cost, and partner with business stakeholders to deliver and support AI-enabled outcomes.

Lead a multinational order management team to ensure logistics data integrity, analyze performance metrics, collaborate with sales, procurement, IT and external partners, prioritize vendor data feeds, monitor shipments, and resolve customer shipment issues to improve timeliness and accuracy.

Lead architecture, design, development, and deployment of ServiceNow solutions (ITOM preferred). Mentor project teams, run client workshops/demos, design integrations, participate in presales, maintain certifications, and deliver high-quality written deliverables. Travel ~25%.

Lead and deliver ServiceNow technical projects using Agile and Waterfall. Coach teams on Scrum, remove impediments, manage scope/schedule/budget, coordinate vendors, interface with clients, analyze resource utilization, drive services revenue, and close projects with post-implementation reviews.

Gather and translate stakeholder requirements into ServiceNow technical specifications, support client demos and workshops, maintain documentation and knowledge articles, and contribute to platform solution delivery and integrations.

Lead design and delivery of ServiceNow-based enterprise solutions, run workshops and demos, architect integrations, produce deliverables, mentor teams, drive scoping and thought leadership, and travel ~25% for client engagements.