Information Technology For Development Jobs in Nutley, NJ

Who We Are:

Capelli Sport is a global multi-sports brand based in New York City and New Jersey, specializing in team sports. With a strong club community reaching all corners of the world, we empower and unite people from amateur, to youth and pro clubs. Our goal is to build equal and diverse playing fields where everyone can be themselves, live up to their full potential, and enjoy safe experiences. Our passion for creating products from lifestyle apparel to footwear and performance match kits enables athletes and teams to maximize their success on the field and beyond. Capelli Sport supports all athletes through a unique global sports ecosystem with a focus on service excellence. With years of knowhow on our side, we always deliver an exceptional customer experience. By players, for players, Capelli Sport is deeply rooted in sports culture.

What We Are Looking For:

We are currently seeking a Product Development Assistant for Capelli Sport. The overall aim of this role is to assist the product manager in developing new products and designs to meet our product line and customer needs. The ideal candidate will be serious about having a career, not just a job. This role is within Various Sports Goods categories, experience, knowledge and interest in that sports and fitness industry is a requirement.

Responsibilities:

· Driving product development by researching and improving existing products

· Managing communication with overseas teams and handle market research

· PLM monitoring and processing

· Creating tech packs

· Processing photo requests for internal systems, retailers, and licensors

· Overseeing sample management, including receiving, tracking, reviewing, and approving samples while resolving technical issues

· Maintaining and organizing showrooms

· Supporting the Product Development Manager in launching new product lines and preparing necessary documentation

· Creating and managing reports in Excel to facilitate cross-functional collaboration and communication

Requirements:

· Proficient in systems such as Outlook, Word, Excel, PLM

· Strong communication and writing skills

· Strong attention to detail and ability to prioritize

· Self-motivated and self-directed with continuous desire to learn and grow

· Flexible and agile learner able to adapt to the changing needs of the business

· Exceptional time management and organizational skills with ability to multi task in a fast-paced environment

· Proactive problem solver able to trouble shoot and/or escalate issues effectively

· Knowledge in Adobe Illustrator is a plus

· Interest in Fitness and Sports is a huge plus

Capelli Sport LLC is an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, ancestry, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, religion, retaliation, parental status, military service, or other non-merit factor.

Job Type: Full-time

Salary Range: $45,000-$65,000.

• 
  
• Design, develop, test, and deploy full-stack applications
  
• Build efficient and reusable front-end and back-end systems.
  
• Collaborate with product managers, designers, and other engineers to define and deliver new features.
  
• Develop APIs and microservices using modern frameworks and tools.
  
• Ensure application performance, security, and scalability.
  
• Maintain clear documentation and follow best practices in coding and design.
  
• Participate in code reviews, troubleshooting, and continuous improvement initiatives.
  

• 
  
• Programming Languages: Java, JavaScript, Python
  
• Frameworks & Tools: React, Angular, Node.js, Spring Boot, Spring Batch
  
• Databases: DynamoDB, DB2, Oracle, PostgreSQL
  
• Other Skills: RESTful API development, version control (Git), CI/CD,
  
• Cloud experience: AWS
  

• 
  
• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
  
• Proven experience in full-stack development (front-end and back-end).
  
• Strong understanding of software development life cycle (SDLC) and Agile methodologies.
  
• Excellent communication and teamwork skills.
  

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Company: QuickWash Technologies, Inc

Location: Remote

Employment Type: Full-Time

QuickWash is a technology platform that connects businesses and their employees with convenient on-site car washing and detailing services. Our mission is to simplify vehicle care by bringing professional detailing directly to workplaces and residential communities.

We are currently expanding and looking for a driven Corporate Account Executive to help grow our corporate partnerships and bring QuickWash services to new companies.

The Corporate Account Executive will be responsible for developing new corporate relationships and introducing businesses to QuickWash as an employee perk and workplace amenity. This role focuses on setting up pilot service days and converting those pilots into long-term corporate contracts.

This role is ideal for someone who is ambitious, competitive, and looking to grow into a strong sales and business development career. No prior experience is required for the right candidate.

• $30,000 Base Salary
• 6% of gross revenue generated from contracts you close
• 3% recurring commission on revenue after the first 12 months upon renewal
• Once $2,000,000 ACR (Annual Contract Revenue) is hit, Base Salary Goes to $60,000

• Or

• No Base Salary
• 10% of gross revenue generated from contracts you close
• 5% recurring commission on revenue after the first 12 months upon renewal
• Once $2,000,000 ACR (Annual Contract Revenue) is hit, splits increase to 12% & 8%

• Prospect and reach out to businesses to introduce QuickWash services
• Schedule and coordinate pilot service days for prospective corporate partners
• Convert pilot days into long-term corporate contracts
• Build relationships with office managers, HR teams, and decision-makers
• Track outreach, pilots, and conversions through the company CRM
• Work closely with the QuickWash operations team to ensure successful service days

• Set up 20 pilot service days per month
• Convert 10 pilot locations into long-term corporate contracts per month
• Each corporate contract is estimated to generate approximately $1,000 per month in recurring revenue

While no experience is required, the following experience is helpful:

• Sales or business development
• Cold calling or outbound outreach
• Account management or client relationship management
• Startup or fast-growing company environments

• Highly motivated and competitive
• Strong communication skills
• Comfortable speaking with business decision-makers
• Organized and able to manage multiple prospects simultaneously
• Entrepreneurial mindset with a desire to grow with the company

• Opportunity to grow with a fast-growing tech platform
• Unlimited commission potential
• Flexible remote work environment
• Ability to play a key role in the company’s expansion
• Path to earning six figures within 3 years for top performers

• 
  
• Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
  
• Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
  
• Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
  
• Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
  
• Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
  
• Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
  
• Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
  
• Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
  
• Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
  
• Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
  

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• 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
  
• Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
  
• Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
  
• Excellent communication and presentation skills, with experience translating technical concepts for business partners.
  
• Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
  
• Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
  
• Strong collaboration and stakeholder management skills across engineering, product, and business teams.
  
• Comfortable working in fast?moving environments and driving clarity through ambiguity.
  

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• Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
  
• Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
  
• Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
  
• Background in solution architecture, customer engineering, or sales engineering.
  
• Experience developing demo environments, sample apps, or repeatable platform enablement assets.
  
• Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
  

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• Oversees a team of personnel focused on technical issues, including software development, testing, and engineering tasks
  
• Coordinate with the scrum master and other stakeholders to delegate work assignments
  
• Analyze requirements, conduct story refinement, and develop technical solutions
  
• Provide expert knowledge in front-end technologies such as React and Angular
  
• Construct complex back-end logic in .NET and SQL
  
• Conduct code reviews and guide the team as needed
  
• Strong knowledge of Agile-Scrum principles
  
• Ability to use AI tools such as Claude Code
  

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• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

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• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.