Jobs at C-4 Analytics

Serve as daily client contact for a portfolio, manage and project-manage digital campaigns end-to-end, liaise with solutions teams, present results, and optimize marketing performance for automotive clients.

Perform high-volume cold calling, email and social outreach to identify and qualify leads for automotive dealership clients. Use existing data and research to find prospects, develop relationships, generate qualified opportunities, set appointments for sales colleagues, and maintain CRM. Daily in-person attendance in Wakefield, MA.

Serve as primary client advocate for a portfolio of dealership accounts, owning strategy and execution across paid search, social, and web. Coordinate cross-functional teams and vendors, analyze performance with Google Analytics/Ads, deliver monthly reports and presentations, ensure brand/regulatory compliance, manage campaign lifecycle and project tracking, and handle ad-hoc duties including occasional travel to support clients.

Build and deploy AI-powered automations across sales, marketing, operations, and finance. Map processes, identify bottlenecks, design end-to-end solutions, integrate systems (CRMs, data platforms, cloud tools) via APIs and automation/no-code platforms, and own production reliability and business impact. Serve as internal expert on AI models and tooling while collaborating cross-functionally and driving measurable ROI.

Design and lead enterprise-grade data architecture and AI pipelines. Transform disparate and unstructured data into production-ready, scalable systems using Snowflake and AWS, enable data scientists, document solutions, and enforce best practices in sharding, indexing, replication, and data governance.

Lead and architect a Terraform-driven, multi-cloud infrastructure platform (AWS/GCP) enabling secure, self-service deployments. Standardize IaC, implement fine-grained IAM/OAuth access controls, integrate ECS/Lambda and Snowflake, and enable CI/CD best practices to support engineering and non-engineering teams at scale.

Own and evolve core platform systems: set roadmap, improve performance/usability/reliability, embed practical AI/automation, translate business problems into shipped solutions, define KPIs, and partner cross-functionally to reduce operational friction and drive measurable outcomes.

Lead ideation, prototyping, and validation of AI-enabled 0→1 products across marketing, data, and operations. Build demos, run experiments, partner with engineering, and translate AI/automation opportunities into production-ready solutions tied to business value.

Client-facing Account Manager owning strategy and execution for a portfolio of dealership clients. Manage full campaign lifecycle across Paid Search, Social and Web, coordinate internal teams and vendors, analyze performance with Google Analytics/Ads, deliver monthly reports, lead client meetings, ensure brand and regulatory compliance, and support operational tasks and occasional travel.

Lead engineering teams to define and enforce a modern SDLC, foster self-organization, translate product strategy into engineering priorities, coordinate across distributed teams, enforce spec-driven development, and embed AI-enabled tooling to improve sprint planning, reporting, and throughput.

Lead the technical integrity and architecture of a Node/Angular/MongoDB stack, drive SDLC and quality transformation, integrate AI-assisted tooling into developer workflows, prioritize remediation of technical debt, and mentor engineering discipline and best practices.

Design and build end-to-end AI-powered business systems across Sales, Marketing, Ops, and Finance. Map processes, identify automation opportunities, integrate CRMs and data platforms, implement production workflows using APIs and automation tools, and serve as the internal expert on modern AI models and tooling to ensure reliable, business-focused solutions.