Metadata Library Jobs in Middletown, NJ (NOW HIRING)

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Most enterprise AI projects don't fail because the model isn't powerful enough. They stall because the model is missing the context that makes it useful inside a business - the contracts, records, policies, procedures, metadata, permissions, and workflows where an organization keeps what it actually knows.

Closing that gap is the real work of enterprise AI, and it's the work a Box Forward Deployed Engineer (FDE) does.

Box AI is model-agnostic, letting customers choose the best model for each business need. An FDE works the same way - helping customers build content-centric AI workflows around whichever models best fit their needs, with Box at the center of their intelligent content strategy.

As AI models evolve and agentic systems grow more sophisticated, the advantage goes to organizations working with their vendor partners to design, build, and deploy solutions, and then adapting them as models and approaches change. Box FDEs are that partner - turning your content into the context that makes AI and agents useful.

WHAT YOU'LL DO

Your work spans three core areas across each customer engagement:

Prepare enterprise content for AI

      Assess and structure customers' content environments - information architecture, metadata, permissions, and governance - so models and agents can retrieve the most relevant, secure, and current content

      Design relationship hierarchies, metadata libraries with associated templates, Hubs, integrations and permissions for agentic use cases

      Run AI readiness assessments and deliver actionable roadmaps for customers preparing for Box AI-driven workflows

Design and build AI workflows and agents

      Partner with customer AI leadership to define holistic AI strategy, set priorities, and deliver prescriptive roadmaps - reporting progress to executives on an ongoing basis

      Lead requirements workshops to formalize scope into achievable, tracked deliverables

      Build production-quality code - scripts, apps, API integrations - that scales correctly and handles failures gracefully

      Design and build end-to-end agentic workflows directly in our customer's environments: context pipelines, prompts, generative steps, agents, and downstream integrations, including Box MCP server and customer-chosen orchestrators

      Run programmatic model testing across approved models to find best fit per use case; build dashboards tracking reliability, speed, accuracy, and cost

      Design every solution with AI unit and token efficiency at the center - forecasting spend and supporting ROI calculations

Post Deployment Optimization

      Own post-deployment reliability: monitoring, alerting, fallback paths, drift detection, and change-control so solutions stay accurate and trusted over time

      Tune workflows as prompts drift, agents multiply, and models change - refining for cost and output quality

      Drive end-user adoption through enablement, roadshows, and LOB-specific configuration

      Document product gaps and work with Box Product & Engineering to influence roadmap priorities

      Track KPI attainment and adoption signals post-launch; package learnings into repeatable patterns that scale across customers

      Evolve deployment strategy with Customer as AI approaches and models advance

WHO YOU ARE

You are part engineer, part solution architect, and part customer-facing operator. You can build the workflow, make the right AI and architecture choices, and understand which business processes are worth transforming in the first place.

      You are energized by the pace of AI - you follow model releases, emerging agentic patterns, and evolving best practices because you're genuinely curious, not because it's required

      You think in systems and outcomes, not just features - you care whether AI makes a real difference to a business process, not just whether a model can generate an answer

      You are comfortable translating complex technical concepts for executives and business stakeholders, and equally at home in a code editor or a whiteboard session

      You bring consulting discipline to technical work - you formalize requirements, track deliverables, and hold yourself accountable to measurable customer value

      You thrive in ambiguity and fast-moving environments - Box FDEs are often working at the frontier of what's possible, and the best ones lean into that

      You are a trusted partner to customers, not a just a vendor - you understand their business deeply and advocate for their outcomes inside Box

      You love working in a dynamic environment where ambiguity is common...and can effectively speak to both technical and non-technical parties.

FINE PRINT

       7+ years of development, consulting, professional services, or sales engineering experience.

• Expertise in architecture / system design for cloud solutions (i.e. APIs, DevOps, Infrastructure, middleware, scale limits, rate limits, etc.).

       Expertise in Enterprise Content Management systems and cloud migrations.

       Deep understanding of prompt engineering, prompt governance, evaluation and testing frameworks, model selection, benchmarking, and security/compliance scoping for AI.

      Proven experience designing and building production AI workflows or agentic systems - not just proof-of-concept

      Hands-on proficiency with AI APIs and at least one major model ecosystem (OpenAI, Anthropic, Google, or equivalent); able to evaluate, confidence score, and select models by capability, cost, and task fit

      Strong programming skills - Python and/or JavaScript - with experience building scripts, API integrations, and automation pipelines that move through a customer SDLC

      Experience in post-sale professional services or consulting environments; comfortable owning customer relationships and driving outcomes over multi-month engagements

      Experience with agentic frameworks and orchestration (LangChain, LlamaIndex, AutoGen, or similar)

      Familiarity with retrieval-augmented generation (RAG), context pipeline design, and prompt engineering at production scale

      Understanding of enterprise content governance, information architecture, and data security considerations in AI deployments

      Experience with LLM evaluation methodologies - building evals, confidence scoring, human-in-the-loop review workflows

      Experience working alongside model providers' forward-deployed teams in a complementary, context-layer capacity

      You are a collaborative partner who is able and excited to work alongside our customer and their preferred partners to deliver best-in-class solutions

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.