Role Description The AI Marketing Engineer builds and operationalizes AI-powered systems, agents, and workflows that make marketing faster, smarter, and more scalable across the full marketing lifecycle—from lead qualification and marketing automation to web updates, MAPSS, and digital analytics/insights. This role sits inside Marketing (starting with Digital) and partners with Commercial Technology and IT to integrate tools and deploy production-ready agents. The AI Marketing Engineer combines marketing judgment (what’s worth automating and how it impacts customers) with engineering-minded execution (how to architect, connect, and operate systems end-to-end). In this role, you will have the opportunity to: - Build AI Agents & Workflows Across Marketing - AI Tool Ownership & Recommendations - Integration, Deployment & Reliability - Enablement & Change Management - Innovation of New Marketing Capabilities Qualifications - 5+ years in digital marketing, marketing operations, growth, analytics, or marketing technology roles - Demonstrated system-thinking and automation mindset - Hands-on experience building AI workflows/agents using LLMs for prompt design, structured outputs, evaluation/iteration - Working knowledge of APIs, webhooks, and integrations across common marketing systems (CRM, MAP, CMS, analytics) - Strong understanding of marketing funnels, customer journeys, and how marketing activity ties to measurable outcomes - Ability to translate ambiguous problems into deployable workflows; strong stakeholder management across Marketing, Commercial Tech, and IT Requirements - Experience with experimentation frameworks (A/B testing, journey optimization, performance diagnostics) - Familiarity with data pipelines/semantic layers, tagging/measurement governance, and dashboarding - Experience with prompt libraries, agent orchestration tools, retrieval (RAG), and content governance at scale - Comfort operating in regulated environments with privacy/security constraints Benefits - Comprehensive package of benefits including paid time off - Medical/dental/vision insurance - 401(k) to eligible employees - Remote work arrangement for eligible roles - Bonus/incentive pay eligibility

• Own the product strategy and roadmap for how APFM's owned properties perform across the traditional, AI-mediated, voice, and agentic search landscape • Translate SEO signals, algorithm shifts, and discovery changes into product decisions and roadmap prioritization; partner with specialist practitioners who own day-to-day execution • Define and evolve how A Place for Mom shows up across the full AI-mediated discovery landscape, including AI search citations, conversational query coverage, structured data for AI grounding, MCP integrations, voice interfaces, and agentic endpoints • Monitor and interpret shifts in AI platform behavior, search landscape changes, and evolving distribution surfaces, and translate them into internal product guidance, guardrails, and prioritization • Evolve existing AI discovery measurement framework and tooling as the ecosystem develops and new channels come online that require new measurement approaches • Build acquisition loops into the product surface: Sharing, comparison tools, decision aids, community-driven content surfaces • Partner with Product peers to embed PLG mechanics in core flows that compound organic acquisition without paid spend • Define metrics, baselines, and targets for organic and AI discovery; size opportunities, set hypotheses, and lead learning agendas • Translate ambiguous, evolving discovery signals into actionable product bets and clear investment recommendations • Embed authority, expertise, and trust signals into product surfaces and content systems • Ensure the signals AI systems use to evaluate credibility, including review integrity, content quality, and decision support depth, are reflected accurately in what we build • Develop and maintain a point of view on AI disintermediation risk and ensure the product roadmap accounts for it

Role Description Guidehouse Technology is seeking a motivated AI Software Engineer to join our growing team supporting federal clients. This role is ideal for an early- to mid-career technologist who is passionate about building secure, scalable, user-centric AI-enabled solutions that address complex government mission challenges. - Contribute to the design, development, testing, and deployment of AI-enabled full-stack web applications deployed on AWS. - Develop and maintain application components spanning frontend interfaces, backend services, APIs, workflow orchestration, and relational database layers. - Build and enhance accessible, user-friendly web interfaces using ReactJS and related frontend technologies, supporting Section 508 and usability standards. - Develop backend services using Java or Python, including RESTful APIs, business logic, integrations, unit tests, and support for microservices-based architectures. - Support the design and maintenance of RDBMS-based data models and SQL queries using technologies such as PostgreSQL, MySQL, or Amazon Aurora. - Implement workflow and process automation capabilities to support business and mission operations. - Develop data visualization and analytics features, including dashboards, charts, reports, and interactive UI components that support decision-making. - Support implementation of AI-enabled features such as intelligent search, chatbots, document processing, summarization, semantic search, or agent-assisted workflows. - Use Generative AI–assisted development tools, such as GitHub Copilot, Cursor, or Claude Code, for code generation, debugging, testing, refactoring, and documentation while following code quality and security practices. - Participate in a SAFe (Scaled Agile Framework) or Agile delivery environment, contributing to sprint planning, backlog refinement, demos, retrospectives, and cross-team coordination. - Support DevSecOps practices by using application security tools and processes, including SAST, DAST, SCA, dependency scanning, container scanning, and vulnerability remediation. - Contribute to CI/CD pipeline activities, including automated testing, security scanning, deployment automation, and compliance checks. - Participate in code reviews, technical design discussions, troubleshooting, documentation, and peer collaboration to improve software quality and maintainability. - Collaborate with cross-functional teams to prototype, iterate, and deliver scalable, secure, and maintainable solutions aligned to mission requirements. Qualifications - Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. - Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, OR Additional FOUR (4) years experience in lieu of Degree. - Minimum of TWO (2) years of professional software engineering experience, or a combination of professional experience, internships, academic projects, bootcamp experience, or equivalent hands-on development experience. - Working proficiency in Java or Python for backend development, including object-oriented programming, debugging, automated testing, and API development. - Hands-on experience with ReactJS, JavaScript, HTML, and CSS for modern frontend application development. - Experience or strong familiarity with building and deploying applications in cloud environments, preferably AWS. - Experience with RESTful APIs, version control using Git, collaborative development workflows, and basic microservices or distributed application concepts. - Experience with relational databases and SQL, such as PostgreSQL, MySQL, or Amazon Aurora. - Familiarity with accessibility principles and web interface development aligned with Section 508 and usability standards. - Interest in and practical exposure to AI-enabled software capabilities such as intelligent search, chatbots, document processing, analytics, summarization, or workflow automation. - Hands-on experience using or willingness to use Generative AI–assisted coding tools to support development, testing, refactoring, and documentation. - Basic understanding of secure coding, automated testing, CI/CD, DevSecOps, and application security concepts. - Ability to work effectively in an Agile or SAFe team environment and contribute to sprint-based delivery activities. - Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work independently on assigned tasks and seek guidance when needed. Requirements - Experience developing AI/ML-enabled applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, summarization, document processing, or agentic workflows. - Familiarity with AI frameworks or libraries such as LangChain, Haystack, Semantic Kernel, OpenAI-compatible APIs, or similar tools. - Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, Glue, CloudWatch, IAM, or Amazon Bedrock. - Exposure to modern data architectures, including data lakes, lakehouse patterns, federated query engines, or analytics platforms. - Experience with data visualization tools and libraries, such as D3.js, Plotly, Tableau, Amazon QuickSight, or similar. - Familiarity with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation. - Awareness of federal security and compliance standards, including FISMA, FedRAMP, NIST 800-53, or secure software development practices. - Exposure to application security and DevSecOps tools, including SAST, DAST, software composition analysis, dependency scanning, or container scanning. - SAFe, Agile, AWS, security, or AI-related training or certifications. - Demonstrated curiosity, adaptability, and commitment to continuous learning in AI-enabled, cloud-native software development. Benefits - Medical, Rx, Dental & Vision Insurance - Personal and Family Sick Time & Company Paid Holidays - Parental Leave - 401(k) Retirement Plan - Group Term Life and Travel Assistance - Voluntary Life and AD&D Insurance - Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts - Transit and Parking Commuter Benefits - Short-Term & Long-Term Disability - Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities - Employee Referral Program - Corporate Sponsored Events & Community Outreach - Care.com annual membership - Employee Assistance Program - Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) - Position may be eligible for a discretionary variable incentive bonus

• Build AI-powered workflows, assistants, agents and automation systems. • Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools. • Work with product and engineering teams to turn manual processes into scalable AI-native systems. • Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems. • Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable. • Prototype quickly, test with users or operators, then productionize what works.