C-4 Analytics

Lead full-stack development and mentor team members while driving AI-integrated workflows and Agile practices. | Requires expertise in MongoDB, serverless architectures, Angular, AI code assistants, and strong communication skills. | Senior Fullstack Engineer (Team Builder & Full-Stack Specialist) Stack: JavaScript (Node/Lambdas), MongoDB, Angular, AI-Integrated Workflow If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process. The Mission We are looking for a Senior Software Engineer who acts as a force multiplier. In this role, you will be a key pillar of a transforming engineering organization, working directly with engineering leadership to build a world-class engineering culture. You aren't just an individual contributor; you are a team builder and a mentor who thrives on elevating the collective skills of those around you. The Role As a Senior Engineer, you are expected to be a master of the craft. You will be a self-starter who navigates our JavaScript API layer, AWS Lambdas, and Angular frontend with precision. You understand that "done" means the code is clean, tested, documented, and delivered through a disciplined SDLC. You’ll work across application and data-integrated systems, contributing to features that rely on both real-time application logic and underlying data platforms. Key Responsibilities: Full-Stack Execution: Ship high-quality features across the entire stack including systems that integrate with APIs and underlying data platforms, using Node.js, AWS Lambdas, and Angular. You lead by example in writing S.O.L.I.D., maintainable code. AI-Driven Productivity: Core Requirement. You are fully proficient in using AI code assistants (GitHub Copilot, Cursor, etc.) to accelerate development, refactor legacy code, and maintain high standards of quality. Mentorship & Nurturing: Actively mentor less experienced engineers (including our contractor partners). You take pride in helping others understand complex architectural patterns and better development habits. Agile Excellence: Be an active participant and leader in our Agile ceremonies. You help the team self-organize, identify process improvements, and maintain a high velocity without sacrificing quality. Team Building: Collaborate with the EM to foster a "fail fast" culture. You help create an environment where the team feels safe to experiment, learn, and grow together. Who You Are A Continuous Learner: The tech landscape changes fast, and you stay ahead of it. You are a self-starter who doesn't wait for instructions to explore new ways to improve the system. Expert Practitioner: You have deep, hands-on experience with MongoDB, Serverless architectures (AWS), and modern Angular (familiarity with data platforms such as Snowflake is a plus). You understand the nuances of building for scale. Empathetic Collaborator: You understand that engineering is a team sport. You are a great communicator who can bridge the gap between complex technical requirements and team growth. SDLC Advocate: You are proficient in the modern software development lifecycle, from local development and CI/CD to production monitoring. Our Tech Stack Layer Technology Backend Node.js, AWS Lambdas (Serverless) Frontend Angular (Latest), TypeScript Database MongoDB (Atlas) AI Tools GitHub Copilot, Cursor, LLM-integrated workflows Compensation We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Flexibility The Senior Fullstack Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community. Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Design and maintain scalable AI infrastructure and data pipelines to transform raw data into organizational intelligence. | Over 5 years experience in AI and machine learning with proficiency in Python, SQL, Snowflake, and cloud infrastructure. | Senior Data Engineer Stack: JavaScript (Node/Lambdas), Python, SQL, Snowflake, Cursor If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process. The Mission We’re looking for a Senior Data Engineer to serve as the foundational architect of our AI infrastructure. In this role, you will be a key pillar of the AI team, responsible for transforming raw, disparate data into scalable organizational intelligence. You aren’t just building pipelines; you are designing the enterprise-grade framework that powers C-4 Analytics' digital marketing platforms, ensuring our data architecture is as innovative as the solutions it supports. The Role As a Senior Data Engineer, you are expected to be a master of data orchestration. You are a self-starter who navigates the complexities of Snowflake, AI pipelines, and unstructured data environments with precision. You understand that your job is to connect the dots between raw sources and production-ready solutions, implementing best practices in sharding, indexing, and normalization to optimize retrieval at scale. You’ll work across cross-functional teams to align data architecture with business objectives, ensuring every system you design is elegant, documented, and mission-critical. Key Responsibilities: Data Architecture & Strategy: Lead by example in designing and maintaining high-performance data systems. You aren’t just moving data; you are implementing best practices in sharding, replication, and indexing to ensure our database architecture is scalable, cost-effective, and optimized for complex access patterns. Enterprise Orchestration: Build and manage production-ready AI pipelines that turn disparate, unstructured data into clean, normalized organizational intelligence. You bridge the gap between batch and streaming processes, connecting various sources to Snowflake with precision and reliability. AI-Driven Innovation: Core Requirement. You are a pioneer in the AI space, fully proficient in using AI development assistants to accelerate the transition from cutting-edge proof-of-concepts to robust, production-ready solutions. You leverage these tools to refactor data flows and maintain an elite standard of quality. Enablement & Collaboration: Craft intuitive tools and frameworks that empower our data scientists and analysts to do their best work. You act as a strategic partner to cross-functional teams, ensuring our data storage and retrieval systems are perfectly aligned with broader business objectives. Documentation & Leadership: Act as the visionary for our information architecture. You design elegant, scalable solutions and document them with such clarity that others can easily follow your lead. You provide the technical guidance and architectural "blueprints" necessary for the team to grow and succeed. Who You Are The Strategic Architect: You are fluent in Python and SQL, possessing the rare ability to express complex logic with elegant simplicity. You aren't just a coder; you are a Database Strategist who knows exactly when to deploy relational, vector, graph, or document data models, backed by a deep understanding of sharding, replication, and indexing. Cloud & Data Expert: You are a confident Cloud Navigator within the AWS ecosystem and a master of Snowflake. With over 5 years of professional experience in AI and machine learning, you have a proven track record of integrating LLMs and NLP tasks with enterprise data platforms. You understand the nuances of building for scale and the importance of high-fidelity data wrangling. Infrastructure Poet: You treat infrastructure as clear, reproducible code. You are an advocate for information architecture best practices, data modeling, and rigorous data governance. You are proficient in the modern SDLC for AI projects, ensuring that every pipeline you design is robust, secure, and production-ready. Dynamic Collaborator & Question Seeker: You understand that engineering is a team sport. You are an empathetic communicator who can work independently with minimal supervision while fostering teamwork across departments. You are the person who finds the right questions that others haven't thought to ask, identifying and resolving problems with a sense of urgency and resourcefulness. Our Tech Stack Layer Technology Backend Node.js, AWS Lambdas (Serverless), Python, AWS Fargate Frontend Angular (Latest), TypeScript Database MongoDB (Atlas), Snowflake AI Tools Cursor Compensation We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Flexibility The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community. Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Lead engineering team to establish architectural standards and promote disciplined software development with AI-assisted tools integration. | Requires deep expertise in JavaScript, Node.js, MongoDB, Angular, strong S.O.L.I.D. principles knowledge, and technical leadership skills. | Lead Software Engineer (Transformation & Technical Excellence) Stack: JavaScript (Node/Lambdas), MongoDB, Angular The Mission We are seeking a Lead Engineer who doesn't just write code, but builds the ecosystem where great code thrives. Currently, our engineering organization is at a pivotal junction. We are looking for a true technical leader who will act as the "North Star" for engineering discipline, quality, and architectural integrity. You are the transformative force that will instill a culture of collaborative architectural rigor. You will lead by example, proving that high-quality software is built through a highly communicative and disciplined team. The Role As the Lead Software Engineer, you own the technical integrity of our stack. Your success is measured by the stability of the system and the efficiency of the contributors within it. We operate using a spec-driven approach, where clear, testable specifications guide development and serve as the source of truth across teams. We work in an AI-forward development environment, leveraging tools (e.g., AI-assisted coding) to accelerate delivery while maintaining strong engineering judgment and code quality. Key Responsibilities: Architectural Stewardship: Design systems using S.O.L.I.D. principles to ensure our architecture is extensible and maintainable for long-term in-house ownership. AI-Augmented Development: Essential Requirement. You must be an expert in utilizing AI-assisted development tools (Copilots, LLMs, automated refactoring) to transform how the team builds, tests, and deploys. You will lead the team in integrating AI into the daily workflow to maximize efficiency and code quality. SDLC Transformation: Audit and overhaul our development processes. You define "Quality"—from automated testing to rigorous code review standards. Leadership & Discipline: Act as the technical anchor for the team. You ensure that "moving fast" never comes at the expense of "moving correctly." Technical Priority: Partner with the Engineering Manager to prioritize the roadmap, acting as the primary advocate for remediating technical debt and protecting the codebase's health. Who You Are A Leader First: You understand that leadership is about setting the standard. You are comfortable challenging the status quo to protect the health of the codebase. A Master Craftsman: Deep expertise in JavaScript (Node.js), NoSQL (MongoDB), and Angular. You know the difference between a solution that works and a solution that lasts. Modern Methodology: You believe in "Fail Fast" and iterative development. You understand how to apply S.O.L.I.D. principles in a modern, fast-paced environment. Prioritize building reusable, scalable systems over one-off implementations, with a focus on long-term maintainability. Experience working with modern data platforms (e.g., Snowflake) or understanding how application design impacts downstream analytics is a plus. Our Tech Stack Layer Technology Backend Node.js, AWS Lambdas, Serverless Architecture Frontend Angular (Latest versions), TypeScript Database MongoDB (Atlas) Infrastructure AWS, CI/CD Pipelines Compensation We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $160,000 - $190,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Flexibility The Lead Software Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community. Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Define and safeguard SDLC while fostering self-organizing engineering teams and balancing feature delivery with technical stability. | Strong leadership, systems thinking, Agile expertise, team management, stakeholder influence, and AI leverage for engineering throughput. | Engineering Manager (Systems & Process Transformation) Focus: SDLC Excellence, Team Empowerment, and Operational Throughput The Mission We are seeking a high-caliber Engineering Manager to serve as the operational heartbeat of our engineering teams. This is a unique leadership challenge: you will work with an incumbent team to transition our culture toward in-house excellence, discipline, and high-velocity delivery. You are not a "task master"; you are a process architect. Your goal is to build a self-organizing ecosystem where developers identify their own bottlenecks, experiment with solutions ("fail fast"), and take collective ownership of a high-quality product grounded in clear, well-defined specifications and shared understanding of requirements. The Role As the Engineering Manager, you will be the bridge between technical execution and business strategy. You will partner closely with our Lead Software Engineer to balance aggressive product roadmaps with the necessary technical rigor required to stabilize and scale a fragile codebase. Key Responsibilities: SDLC Orchestration: Define, implement, and safeguard a modern Software Development Lifecycle. You ensure that the "how" of building software is efficient, repeatable, and transparent. Fostering Self-Organization: Lead the team to a state of maturity where they proactively identify areas for improvement and execute on action items to level up the collective. Strategic Liaison: Translate the needs of the Product team and executive leadership into actionable engineering priorities, negotiating with the Lead Engineer to ensure technical debt and feature work are balanced. Coordinate effectively across distributed and external engineering teams, ensuring alignment, accountability, and consistent execution standards. Spec-Driven: Ensure work is grounded in clear, well-defined specifications, reducing ambiguity and improving delivery consistency across teams. AI-Forward, People First Leadership: Leverage AI as a "first-class citizen" in your daily workflow—from predictive sprint planning and automated reporting to identifying team throughput bottlenecks. Who You Are A Systems Thinker: You look at teams and processes as a system that can be optimized. You value throughput and efficiency but understand they are products of a healthy culture. You understand how engineering systems interact with underlying data platforms and dependencies An Agile Purist: You understand that Agile is about iterative value and failing fast to learn faster, not just standing in a circle once a day. A Master of Influence: You can lead a team you didn't "hire" (yet), earning the respect of veteran contractors through clear communication and a commitment to removing their blockers. Strategically Minded: You are comfortable managing "up" to leadership and "across" to product, ensuring engineering is seen as a value-driver, not a cost center. Compensation We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $170,000 - $200,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Flexibility The Engineering Manager may benefit from the flexibility to work in a way that suits them best. We offer the following working options: Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community. Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Lead full-stack development, mentor engineers, and contribute to engineering culture and agile processes. | Senior-level experience with JavaScript, Node.js, AWS Lambdas, Angular, mentorship, and modern SDLC practices. | Senior Fullstack Engineer (Team Builder & Full-Stack Specialist) Stack: JavaScript (Node/Lambdas), MongoDB, Angular, AI-Integrated Workflow If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process. The Mission We are looking for a Senior Software Engineer who acts as a force multiplier. In this role, you will be a key pillar of a transforming engineering organization, working directly with engineering leadership to build a world-class engineering culture. You aren't just an individual contributor; you are a team builder and a mentor who thrives on elevating the collective skills of those around you. The Role As a Senior Engineer, you are expected to be a master of the craft. You will be a self-starter who navigates our JavaScript API layer, AWS Lambdas, and Angular frontend with precision. You understand that "done" means the code is clean, tested, documented, and delivered through a disciplined SDLC. You'll work across application and data-integrated systems, contributing to features that rely on both real-time application logic and underlying data platforms. Key Responsibilities: • Full-Stack Execution: Ship high-quality features across the entire stack including systems that integrate with APIs and underlying data platforms, using Node.js, AWS Lambdas, and Angular. You lead by example in writing S.O.L.I.D., maintainable code. • AI-Driven Productivity: Core Requirement. You are fully proficient in using AI code assistants (GitHub Copilot, Cursor, etc.) to accelerate development, refactor legacy code, and maintain high standards of quality. • Mentorship & Nurturing: Actively mentor less experienced engineers (including our contractor partners). You take pride in helping others understand complex architectural patterns and better development habits. • Agile Excellence: Be an active participant and leader in our Agile ceremonies. You help the team self-organize, identify process improvements, and maintain a high velocity without sacrificing quality. • Team Building: Collaborate with the EM to foster a "fail fast" culture. You help create an environment where the team feels safe to experiment, learn, and grow together. Who You Are • A Continuous Learner: The tech landscape changes fast, and you stay ahead of it. You are a self-starter who doesn't wait for instructions to explore new ways to improve the system. • Expert Practitioner: You have deep, hands-on experience with MongoDB, Serverless architectures (AWS), and modern Angular (familiarity with data platforms such as Snowflake is a plus). You understand the nuances of building for scale. • Empathetic Collaborator: You understand that engineering is a team sport. You are a great communicator who can bridge the gap between complex technical requirements and team growth. • SDLC Advocate: You are proficient in the modern software development lifecycle, from local development and CI/CD to production monitoring. Our Tech Stack Layer Technology Backend Node.js, AWS Lambdas (Serverless) Frontend Angular (Latest), TypeScript Database MongoDB (Atlas) AI Tools GitHub Copilot, Cursor, LLM-integrated workflows Compensation We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $130,000 - $160,000. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Flexibility The Senior Fullstack Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options: • Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community. • Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.

Design and implement AI-powered cross-functional business systems to improve organizational workflows. | 4+ years building cross-functional business systems with strong AI model familiarity and automation experience. | AI Business Systems Engineer - REMOTE – C-4 Analytics C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for an AI Business Systems Engineer, REMOTE to serve as a cross-functional builder and thought partner for applying AI across the company. This is a business-first role for someone who deeply understands how organizations operate, can identify high-leverage opportunities for automation and intelligence, and has the technical fluency to design and implement solutions end-to-end. The ideal candidate combines strong business judgment, an engineering mindset, and an expert-level understanding of modern AI capabilities. If you are unable to complete the application due to a disability, contact us to ask for accommodation or an alternative application process. The Gig: Your Mission • The AI Visionary: Be the go-to expert applying AI across Sales, Marketing, Ops, Finance, and beyond. • The Workflow Wizard: Map processes, spot bottlenecks, and eliminate manual effort with brilliant AI solutions. • The Systems Architect: Proactively propose and translate ambiguous business needs into structured, end-to-end system designs. • The Hands-On Builder: Design and execute game-changing, AI-powered workflows using modern automation tools and APIs. A Day in the Life: • Build smarter solutions: Apply AI for decision support, content generation, classification, and data enrichment. • Integrate systems: Ensure internal systems (CRM, data platforms, cloud tools) are seamlessly connected. • Own the solution: Take projects from lightbulb moment to production, ensuring reliability and business relevance. • Stay current: Serve as the internal expert on the latest AI models and tooling. What You Need to Succeed: The Rare Trifecta This role requires a combination of all three: • Business Process Strength: Strong intuition for how a fast-paced organization operates, comfort with senior leaders, and clear communication on goals and tradeoffs. • Engineering Mindset: Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data structures, and drives relentlessly for reliability and scalability. • AI Expertise: Deep, hands-on understanding of modern AI models, knowing exactly where AI adds maximum leverage, and experience shipping AI into production workflows. Core Background We are looking for hands-on experience in real, imperfect operating environments. • Experience: Typically 4+ years of professional experience owning systems end-to-end. Demonstrated history of shipping solutions that other teams rely on daily. • We Value: Consulting roles with implementation responsibility, internal tools/business systems teams, and experience in startup/scale-up environments. • We Are Not Seeking: Pure ML research profiles, AI "evangelists" without execution depth, or product managers who do not build/implement. Hard Qualifiers (Non-Negotiable) • Experience building cross-functional business systems, not isolated tools. • Ability to go from whiteboard concept to live, production workflow. • Focus on business impact and ROI, not novelty for its own sake. • Comfort pushing back on weak ideas, even with senior stakeholders. Soft Qualifiers (Equally Important) • Low ego and high ownership. • Impatience with unnecessary process and wasted effort. • Calm, structured thinking in ambiguous situations. • Practical decision-making over "perfect" architecture. Specific Skills & Expertise • Must-Have: Proven track record in building cross-functional systems, strong familiarity with AI models, experience with automation platforms and APIs, and excellent communication. • Nice-to-Have: Background in operations/consulting, experience with CRMs/data platforms, light scripting (Python/JavaScript). What This Role Is NOT: • Not a research or theory role—this is about building. • Not a departmental analyst—this is cross-functional. • Not a pure software engineering role—this is business-driven systems building. Salary: $100,000 to $130,000 USD per year (competitive and negotiable). Benefits: Health insurance, retirement plans, professional development, and unlimited paid time off! Check out our careers and culture page for more details. Note: Understanding the Different Between AI Automation Specialist and AI Business Systems AI Automation Specialist = Execution-focused operator Builds, maintains, and scales AI-driven automations that make teams faster and processes cheaper today. AI Business Systems Engineer = Systems architect & integrator Designs durable, governed AI systems that become part of C-4’s core business infrastructure. “The Automation Specialist makes us faster this quarter. The Business Systems Engineer makes sure we don’t regret it next year.” AI Automation Specialist AI Business Systems Engineer Owns workflow-level execution Owns system-level design Delivers fast, reliable automations Optimizes services over time Heavy on shipping & iteration Heavy on mapping & judgment Thinks in concrete task chains Thinks in org-wide flows The Vibe at C-4 Analytics: C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics Powered by JazzHR Remote About the Company: C-4 Analytics