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10 positions found

Outside Sales Representative – Residential & Commercial Security Solutions
✦ New
Salary not disclosed
Opelika, AL 1 day ago

Outside Sales Representative – Residential & Commercial Security Solutions


Job Details


Description


Vector Security is seeking an Outside Sales Representative (Residential and Commercial Security Solutions) to grow new and existing customer relationships within an assigned territory. This opportunity offers a combination of base salary and uncapped commission while building relationships with homeowners, business owners, and key decision makers.


At Vector Security We Think Big, Do the Right Thing, and Make a Difference Every Day! If this is how you like to work, we’d like to invite you to join our team!


We offer great benefits, a competitive base salary + uncapped commission, and growth opportunities. We think you’ll find what you want here because what we do matters - to us, our customers, and most of all, our team members.


Location: Auburn, AL


Summary:


Vector Security is seeking an Outside Sales Representative (Residential and Commercial)! In this field-based role, you will generate new opportunities through prospecting, networking, referrals, and in-person meetings with potential customers. Representatives assess customer needs and recommend customized security solutions including alarm systems, video surveillance, access control, fire systems, and smart home technology.

Successful candidates are motivated self-starters who enjoy building relationships in their community, managing their own territory, and developing a strong sales pipeline. By delivering solutions that protect people, property, and operations, representatives play a key role in helping customers feel secure while growing their own income through performance-based earnings.


Why Join Vector Security


  • Established brand with trusted security solutions for both residential and commercial customers
  • Opportunity to build and grow your own territory through relationship-driven sales
  • Diverse product portfolio including intrusion detection, video surveillance, access control, fire systems, and smart home technology
  • Ongoing training and product education to support your success in the field
  • Competitive compensation including base salary, uncapped commission potential, and monthly vehicle allowance


What You'll Do:


  • Sell Vector Security residential and commercial solutions by proactively generating appointments with prospective and existing customers and ensuring offerings align with customer needs and company objectives.
  • Maintains strong product knowledge through ongoing training and certifications; educate customers on security solutions including video surveillance, intrusion detection, access control, and fire alarm systems.
  • Continuously build and manage a sales pipeline by generating commercial proposals and maintaining opportunities equal to at least four times monthly sales quota.
  • Track all proposals and activity within company CRM system to ensure accurate reporting and management visibility.
  • Collaborate with commercial system design teams and branch operations to ensure the proper scope is defined for larger commercial installations.
  • Identify and pursue new market opportunities by developing strategies to introduce Vector's products to new customers and target segments.
  • Monitor competitive activity and market trends including pricing, products, delivery schedules, and merchandising techniques.


What You'll Need:


  • High School Diploma required. Bachelor's Degree preferred.
  • Valid Driver's License
  • Needs to be savvy in using social media to increase sales leads.
  • Prospecting Skills:
  • In order to expand our commercial business, it is important that Commercial sales representatives be able to build new relationships and generate new logos for the company.
  • This can be done via a variety of methods including leveraging LinkedIn, social media, networking, working “Dodge” type reports, etc.
  • Previous Sales Experience - Preferred:
  • Demonstrated success in previous sales positions.
  • Presentation Skills:
  • Ability to present complex integrated solutions that are common in Large Commercial environment.
  • Closing Skills:
  • Must be able to close commercial proposals at a rate deemed acceptable by management, overcome objections, have strong negotiation skills.


We also recognize that great sales professionals come from many different industries. If you bring strong relationship-building skills, a consultative approach, and the drive to succeed, we’d love to hear from you! Candidates from a variety of outside sales environments often excel in this role, including security systems, alarm or access control sales, HVAC or building systems sales, telecom or cable sales, solar, pest control, or furniture sales, and other territory-based consultative sales roles.


Compensation & Earnings Potential:


We offer base salary + uncapped commission along with guaranteed commission for first six pay periods. This role offers a competitive commission structure with uncapped earning potential. High-performing representatives often earn up to $80,000 in their first year, with experienced top performers exceeding six figures.

What You'll Get:


We offer a “Total Rewards” package including:

  • Competitive compensation with incentive eligibility
  • Medical, dental and vision coverage
  • Company paid life and AD&D insurance.
  • Company paid short- and long-term disability.
  • Voluntary benefit products
  • 401k retirement savings plan
  • Flexible Spending Account
  • Paid time off
  • Tuition reimbursement
  • Employee Assistance Program (EAP)


About Us:


We are one of the largest security integrators in the country and have proudly been installing innovative security and smart automation solutions in homes and businesses for more than 50 years. Our purpose is to make our world more secure, connected and empowered, one customer at a time.


Our Values:

  • Win as a team.
  • Do the right thing.
  • Make a difference every day.
  • Get it done.
  • Think big.


If you share these ideas, we’d love to hear from you!


Vector Security is a Drug-Free Workplace


Vector Security is an Equal Opportunity Employer


All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, transgender, national origin, veteran, or disability status.

Not Specified
Data Integration & AI Engineer
✦ New
Salary not disclosed
Edison, NJ 1 day ago

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.


Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.


The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.


Essential Functions

  • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
  • Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
  • Provide input for project plans and timelines to align with business objectives.
  • Monitor project progress, identify risks, and implement mitigation strategies.
  • Work with cross-functional teams and ensure effective communication and collaboration.
  • Provide regular updates to the management team.
  • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
  • Communicates and promotes the code of ethics and business conduct.
  • Ensures completion of required company compliance training programs.
  • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
  • Stays current through personal development and professional and industry organizations.

Responsibilities

  • Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
  • Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
  • Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
  • Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
  • Ensure data solutions and data sources meet quality, security, and compliance standards.
  • Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
  • Provide technical training, documentation, and ongoing support to end users of data automation systems.
  • Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.


Qualifications

  • A bachelor's degree or higher in computer science, information systems, or a related field.
  • Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
  • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
  • Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
  • Experience with workflow orchestration tools such as Cloud Composer or Airflow
  • Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
  • Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
  • Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
  • Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
  • Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
  • Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
  • Hands-on experience with IBM DataStage and Alteryx is a plus.
  • Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
  • Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
  • Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
  • Familiarity with data modeling tools.
  • Familiarity with DevOps practices for data (CI/CD pipelines)
  • Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
  • Familiarity with DevOps practices for data (CI/CD pipelines)
  • Strong knowledge and skills in data management, data quality, and data governance.
  • Strong communication, collaboration, and problem-solving skills.
  • Ability to work on multiple projects and prioritize tasks effectively.
  • Ability to work independently and in a team environment.
  • Ability to learn new technologies and tools quickly.
  • The ability to handle stressful situations.
  • Highly developed business acuity and acumen.
  • Strong critical thinking and decision-making skills.


Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.


Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.


Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Not Specified
Sr AI Application Developer
Salary not disclosed
Milwaukee, WI 2 days ago

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

  • Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
  • Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
  • Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
  • Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
  • Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
  • Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
  • Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
  • Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
  • Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

  • 5+ year of full stack development experience.
  • Strong software engineering background with experience building production-grade applications.
  • Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
  • Practical experience building RAG pipelines using vector databases and embedding models.
  • Experience with prompt engineering, prompt versioning, and evaluation techniques.
  • Solid Python experience for AI development.
  • Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
  • Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
  • Understanding of data formats such as JSON, XML, and document-based data.
  • Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

  • Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
  • Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
  • Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
  • Exposure to video or image models and multimodal AI use cases.
  • Experience working in enterprise environments with security, compliance, and change management considerations.
  • Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

  • Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

  • Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

  • Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Not Specified
Cyber Security Lead
Salary not disclosed
Holstein 1 week ago
Position Description The IT Cybersecurity Analyst is a key player in building and maturing a comprehensive, enterprise-wide cybersecurity program that protects VT’s operations, intellectual property, customer data, and digital assets in an increasingly complex threat landscape.

This role focuses on proactive threat detection, modern security architecture, and alignment of cybersecurity strategies with business objectives—especially as the company adopts AI-driven tools, agentic AI systems, cloud/OT convergence, and Industry 4.0 technologies.

Overall Responsibilities Design, implement, and continuously improve cybersecurity controls and architectures that defend against both current and emerging threats.

Support the integration of security into all technology initiatives, including cloud migrations, AI/agentic workflows, manufacturing OT/IoT environments, and customer-facing portals.

Stay ahead of evolving risks such as agentic AI compromise, AI-orchestrated attacks, supply-chain vulnerabilities, ransomware, and quantum-era threats, translating them into actionable defenses.

Essential Job Functions Proactively monitor networks, endpoints, cloud platforms, OT/IoT systems, and AI/agentic environments using advanced XDR, SIEM, SOAR, and behavioral analytics tools to detect and respond to threats in real time.

Deploy, tune, and maintain next-generation security technologies including Zero Trust architecture, SASE, EDR/XDR, privileged access management, cloud security posture management (CSPM), and container/Kubernetes security.

Lead incident response activities: investigate breaches, coordinate containment and recovery, prepare executive-level reports, and perform root-cause analysis.

Develop, recommend, and enforce updated cybersecurity policies, standards, and procedures that address modern risks (ransomware resilience, supply-chain security via SBOMs and third-party risk management, data loss prevention, and secure AI usage).

Collaborate closely with Systems, Network, Database, DevOps, and OT teams to embed security into the full technology stack, including endpoint, network, data, cloud (AWS/Azure/GCP), manufacturing systems, and customer portals.

Partner with development and application teams to embed security into the SDLC through DevSecOps practices, secure code reviews, and threat modeling for both traditional and AI/agentic applications.

Design and deliver engaging, role-specific cybersecurity awareness training programs that cover current threats (AI-enhanced phishing, deepfakes, business email compromise) and emerging challenges such as secure use of generative AI and autonomous agentic systems.

Own and continuously evolve the incident response and business continuity plans; conduct regular tabletop exercises, red-team simulations, and ransomware-specific drills.

Define, track, and present meaningful cybersecurity metrics and risk dashboards to leadership, highlighting program maturity, threat landscape changes, and business impact.

Research and evaluate up-and-coming security challenges, including: Agentic AI risks (prompt injection, memory poisoning, tool misuse, privilege escalation, and autonomous agent hijacking).

AI-orchestrated cyberattacks and adversarial ML techniques.

Supply-chain and third-party risk amplification.

Quantum computing threats and post-quantum cryptography readiness.

Expanded attack surface from IoT/OT convergence and cloud-native manufacturing systems.

Ensure ongoing compliance with relevant frameworks (NIST CSF 2.0, CIS Controls v8, MITRE ATT&CK, OWASP Top 10 for LLM/Agentic AI, ISO 27001, and applicable industry regulations).

Other duties as assigned.

Position Requirements Professional Characteristics Strong sense of ownership and accountability; consistently delivers high-quality results.

Self-motivated initiator with a proactive, solutions-oriented mindset and tireless work ethic.

Creative, visionary problem-solver who thrives on complexity and continuous improvement.

Rapid learner who quickly masters new technologies, tools, and threat vectors.

Excellent written and verbal communicator capable of translating technical concepts for non-technical stakeholders.

Collaborative team player who builds trust and partnerships across all levels of the organization.

Unwavering integrity, ethical standards, and commitment to confidentiality.

Business-minded professional with a customer-service focus—security enables, rather than hinders, operational excellence.

Qualifications Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (Master’s or relevant certifications strongly preferred).

3+ years of hands-on cybersecurity experience, ideally in a manufacturing or industrial environment.

Solid knowledge of modern operating systems (Windows, Linux), databases (SQL Server, Oracle, cloud-native), networking, and cloud platforms (AWS, Azure, GCP).

Demonstrated experience securing cloud environments, including IAM, CSPM, CASB, and serverless/container security.

Proficiency with current security tooling: EDR/XDR (Microsoft Defender, CrowdStrike, SentinelOne), SIEM/SOAR, PAM, vulnerability management, next-gen firewalls, WAF, and identity solutions (Entra ID, Zero Trust, MFA/conditional access).

Familiarity with Group Policy, Active Directory/Entra ID, and endpoint protection platforms.

Working knowledge of key frameworks: NIST, MITRE ATT&CK, CIS Controls, OWASP (including LLM/Agentic AI variants), and supply-chain security practices.

Understanding of emerging threats and technologies: agentic AI security, AI-driven attacks, ransomware tactics, supply-chain compromise, deepfakes, IoT/OT security, and post-quantum readiness.

Preferred certifications: CompTIA Security+, CISSP, CISM, CCSP, or equivalent.

Proven ability to establish and maintain effective relationships with internal teams, leadership, and external partners.

All team members must uphold VT Industries’ Code of Conduct and Attendance Policy.

Physical Requirements Tolerance for sitting long periods of time.

Possess finger dexterity to write, type, and use a calculator.

Maintain adequate vision to view small print and computer terminal.

Ability to speak and hear, walk throughout facilities with occasional light lifting (25 pounds), stooping, kneeling, crouching, and reaching with hands and arms required.

Ability to travel between multiple facilities as required to perform core job duties.

The physical demands described here are representative of those an employee encounters while performing the essential functions of this job.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Benefits Comprehensive benefit package including, but not limited to, health, dental, and vision insurance 401(k) with company match, employee assistance program, flexible spending and health savings accounts, life insurance, short- and long-term disability insurance, paid time off/vacation, tuition reimbursement, and more!
Not Specified
Director of Cyber Security
🏢 Wakefern Food Corp.
Salary not disclosed
Edison, NJ 1 week ago

Summary

The Director of Cyber Security is a senior leadership role responsible for developing and executing a comprehensive information security strategy that safeguards the organization’s digital assets, systems, and data. This role oversees all aspects of cybersecurity operations, ensuring alignment with business objectives while maintaining regulatory compliance and operational resilience.

The Director leads a multidisciplinary team—including managers, project managers, architects, analysts, engineers, and third-party providers—and collaborates closely with cross-functional stakeholders to embed security into enterprise initiatives, including digital transformation and cloud adoption. Effective communication with both technical and non-technical audiences is essential.


Key challenges include staying ahead of rapidly evolving cyber threats and regulations, balancing security with business agility, managing limited resources, and fostering a culture of security awareness and engagement. The Director is expected to remain current on industry trends, emerging technologies, and best practices through ongoing learning and professional involvement. Success in this role is measured by:

  • Reduction in security incidents and breaches
  • Compliance with relevant regulations and frameworks
  • Employee participation in security awareness programs
  • Improved Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR)
  • Completion rates of third-party risk assessments
  • Positive audit outcomes and timely remediation


Essential Functions

The principal duties and responsibilities include, but are not limited to the following:

  • Strategic Leadership: Demonstrates hands-on leadership by working closely with both team members and cross-functional business units to drive alignment and deliver results. Develop and implement a comprehensive information security strategy aligned with organizational goals and regulatory requirements. Regularly review and refine the security roadmap to address emerging threats and technological advancements.
  • Risk Management: Identify, assess, and mitigate cyber risks across all business units and functions. Conduct security risk assessments, oversee vulnerability management, and ensure compliance with applicable laws, guidelines, and best practices.
  • Policy and Governance: Create, update, and enforce security policies, standards, and procedures. Establish security governance frameworks and ensure organization-wide adoption and awareness.
  • Incident Response: Lead the organization’s response to cyber security incidents and breaches. Develop and maintain incident response plans, coordinate cross-functional teams during incidents, and oversee post-incident analysis and reporting.
  • Security Operations: Supervise daily security operations, including monitoring, threat intelligence, and log analysis. Implement technical controls such as firewalls, encryption, intrusion detection systems, and endpoint protection.
  • Talent Management: Recruit, mentor, and manage a high-performing cyber security team. Foster professional development, provide training opportunities, and determine staffing requirements (both internal and external) to ensure defined objectives are met. Manage performance evaluations and salary administration for direct and indirect reports. Guide the professional and personal development of associates, including certifications and/or degrees as required by the role.
  • Budget and Resource Management: Oversee the cyber security budget, ensuring resources are allocated efficiently to maximize risk reduction. Evaluate investments in technology, services, and personnel. Administer departmental operating and capital budgets.
  • Stakeholder Communication: Serve as the primary liaison between executive leadership and the cyber security function. Deliver clear, concise reports and recommendations to leadership, regulators, and the board of directors.
  • Vendor and Third-Party Security: Evaluate and manage security risks associated with vendors, partners, and supply chain entities. Lead third-party risk assessments and integrate findings into the broader risk management strategy.
  • Vendor and Third Parties: Evaluate and manage vendors, partners, and third-party managed service providers.
  • Awareness and Training: Develop and deliver organization-wide security awareness programs. Promote a culture of security by educating staff at all levels on their role in protecting information assets. Ensure completion of required company compliance training programs. Communicate and promote the code of ethics and business conduct. Direct project presentations for recommendations and updates to staff, management, Committees, and Membership. Include associates, when possible, to provide exposure and encourage them to build relationships with management and membership.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Security, Information Technology, or related field required; Master’s degree preferred.
  • Certifications: CISSP, CISM, CISA, or equivalent industry-recognized certifications.
  • Experience: 10+ years of progressive experience in information security, with at least 3 years in management or leadership role.
  • Technical Expertise: Deep understanding of security architecture, networks, applications, cloud computing, and endpoint security. Familiarity with current threat landscapes, attack vectors, and mitigation strategies. Information/Data Protection & Identity and Access Management
  • Regulatory Knowledge: Experience with data privacy laws and security frameworks such as GDPR, HIPAA, SOX, ISO 27001, NIST, and PCI-DSS.
  • Project Management: Demonstrated success in leading cross-functional projects, managing timelines, budgets, and deliverables.
  • Communication: Exceptional written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences along with strong presentation skills.
  • Leadership: Proven ability to inspire, lead, and develop teams in a fast-paced, evolving environment.
  • Experience managing budgets for acquisition of equipment, maintenance and services.
  • Develops the team and mentors' talent to deliver the technology management and execution capabilities of the organization. Enable a constantly learning environment.
  • Experience with comprehensive technology delivery that is secure and reliable including disaster recovery architecture and operations storage area network and redundant, highly available server and network architectures.
  • Collaborative and Innovative leader comfortable with working in a dynamic environment
  • Strong delivery and customer focus with attention to detail and quality
  • Ability to act decisively and work well while directing multiple projects and operational activities simultaneously
  • Strong interpersonal and organizational skills to effectively liaise with staff in all areas and levels of the organization
  • Proven ability to foster collaboration, value others perspective and gain support and buy-in from stakeholders
  • Proven success in managing growth and leading change in a fast-paced organization
  • Strong organizational, analytical, and critical thinking skills that result in conclusive recommendations and sound decisions

Working Conditions & Physical Demands

  • Availability to work a varied, flexible schedule to meet business demands
  • Ability to monitor computer screens for long periods of time
  • Able to occasionally travel and be available after hours in response to security incidents or critical projects
  • Ability to work a hybrid schedule as established by the division with a minimum of 4 days on-site

Leadership Competencies

  • Think Strategically: Create a compelling vision, develop a strategy and empower others to achieve it
  • Influence Others: The ability to effectively collaborate, inspire, persuade and align others
  • Drive Change: Create the vision and drive the momentum for change
  • Talent Planning: Build organizational and associate capability to achieve business goals
  • Take Accountability: Drive a culture of ownership throughout the organization
  • Inclusive Leadership: Role model inclusive leadership to leverage diversity

Company Perks

  • Vibrant Food Centric Culture
  • Comprehensive medical, dental and vision package
  • Competitive Salary and Paid Time Off
  • Fitness Reimbursement and Well-Being Program
  • Corporate Training and Development University
  • Collaborative team environment
  • Paid Parental Leave
  • 401K
  • Matching Gifts and Community Volunteer Involvement


Compensation and Benefits

The salary range for this position is $180,000-$220,000 annually.

Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

Not Specified
AI Scientist / GenAI Engineer
Salary not disclosed
San Jose, CA 1 week ago

Are you passionate about Generative AI and want to apply it to one of the most impactful domains — cybersecurity?


Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats.

As an Applied AI Scientist, you’ll bridge AI research and real-world cybersecurity use cases — designing, implementing, and optimizing models that extract, reason, and act on complex security data.


You’ll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment.

This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact.


Why Join Us:


  • $25M Seed Funding: Strong capital foundation to innovate and scale fast.
  • Early Success: Trusted by Fortune 500 companies, validating real-world demand.
  • Experienced Leadership: Founders with 25+ years in cybersecurity — previous ventures valued at $3B+.
  • Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies.
  • Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI.
  • Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth.
  • Cybersecurity Knowledge Preferred but Not Required: We’ll teach you the domain — you bring the AI innovation.



Key Responsibilities:


Core Applied AI Research

  • Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection).
  • Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM).
  • Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis.
  • Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks.


System Development & Integration

  • Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval.
  • Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining.
  • Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently.
  • Contribute to synthetic data generation pipelines for fine-tuning and evaluation.


Evaluation & Optimization

  • Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness.
  • Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies.
  • Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools.


Innovation & Leadership

  • Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation.
  • Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI).
  • Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows.




Qualifications:


Required

  • 4+ years in Applied AI / Machine Learning Research / Data Science.
  • Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning.
  • Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain.
  • Experience in prompt engineering, model evaluation, and retrieval-based reasoning.
  • Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain).
  • Strong communication skills and ability to collaborate across research and engineering functions.


Preferred

  • Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks.
  • Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation.
  • Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs).
  • Prior work on synthetic data generation and evaluation frameworks (DeepEval).
  • Experience in a fast-paced startup or applied research environment.


Our Culture & Team

Collaborative and Mission-Driven: Every project directly advances global cybersecurity.

World-Class Mentorship: Work with senior experts from top AI and security companies.

Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks.

Inclusive and Innovative: We value diverse perspectives and open experimentation.


Perks & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Wellness and professional development stipends.
  • Equity options — your impact equals ownership.
  • Access to state-of-the-art GPUs, APIs, and GenAI frameworks.
Not Specified
Technical Cofounder / CTO
Salary not disclosed
New York, NY 1 week ago

Company Description

Closai's open infrastructure connects personal purchase history to the retail ecosystem, enabling a new era of commerce. Our proprietary Closetization™ system understands what consumers already own and uses that intelligence to power personalized shopping, agentic commerce, and next-generation retail infrastructure. We operate at the intersection of AI, data infrastructure, and commerce. Closai is focused on revolutionizing the way individuals and businesses connect and utilize their assets.


Closai is an early-stage start-up with accelerator backing, pilots in development, and a live product. Check out the app here - Description

We’re looking for a full-time Technical Cofounder or Founding CTO to own Closai’s technical architecture end-to-end and help define the standard for order intelligence. This is a hands-on role. You’ll architect, code, and ship alongside the founder, while shaping the long-term technical vision of the company.


Compensation: Meaningful cofounder-level equity and long-term upside.


What You'll Own:

  • Core backend architecture (APIs, data models, security)
  • Purchase history intelligence pipelines (ingestion, normalization, enrichment)
  • Universal infrastructure enabling third-party integrations
  • AI-powered search, recommendations, and agent workflow
  • Scalability, reliability, and data privacy foundations
  • Technical roadmap aligned with enterprise SaaS and platform monetization


Technical Skills:

  • Backend & Infrastructure - Python (preferred) or Node.js - REST and/or GraphQL APIs - PostgreSQL or similar relational databases - Cloud infrastructure (AWS or GCP) - Authentication & authorization (OAuth, JWT, scoped access)
  • Data & AI - ETL and data pipeline design - Experience with embeddings, vector databases, or semantic search - Working with LLMs or ML systems in production - Schema design for messy, real-world data - Enterprise-ready pipelines and APIs
  • Product Engineering - Shipping consumer and enterprise-facing products - Performance, reliability, and security mindset - Strong intuition for user experience (DX) - Enterprise


Other Qualifications

  • Strong Analytical and Research skills to solve complex technical and strategic problems.
  • Excellent Communication skills to collaborate with cross-functional teams and stakeholders.
  • Ability to lead and manage technical projects with attention to detail and deadlines.
  • Strong adaptability and self-motivation in a fast-paced startup environment.
  • Previous experience in a technical or cofounder/leadership role is a plus.
  • Previous experience with commerce or retail is a plus.
Not Specified
Lead Data Architect
Salary not disclosed
Irving, TX 1 week ago

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.


This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.


Responsibilities

Data Architecture Leadership

  • Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
  • Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
  • Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
  • Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

  • RAG pipelines
  • Vector search
  • Metadata-driven orchestration
  • Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

  • Finance, Pricing, and Supply Chain Data Products
  • FIA
  • ContractIQ
  • Specialty Leakage Agents
  • Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
  • Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
  • Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
  • Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

  • Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
  • Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

  • Data models
  • Entity relationship diagrams (ERDs)
  • Data flow diagrams
  • System interface schemas
  • Comprehensive data dictionaries and metadata documentation
  • Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
  • Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.


Minimum Qualifications

  • 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.


Required Skills

  • 7+ years designing enterprise data architecture across large, complex organizations.
  • Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
  • Large-scale integration across heterogeneous systems
  • Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
  • Designing intuitive architectural patterns to simplify complex data landscapes.
  • Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

  • Ownership-driven leader with a track record of guiding engineering teams through delivery.
  • Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

  • Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

  • Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.
Not Specified
Senior Software Engineer- Agentic AI
🏢 Jobot
Salary not disclosed
Durham 2 weeks ago
Seed stage SaaS startup seeking local Swiss army knife engineer to take MVP to market adding agentic AI features This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $120,000
- $150,000 per year A bit about us: Enterprise technology sales cycles are often long and drawn out, with many stakeholders involved, differing incentives and priorities, and communication channels.

This startup thinks the deal should be treated like a project and managed leveraging all the data from all the places to improve efficiency and observability.

Every text, document, profile, call, email, slack message, note, etc.

should be used to improve, update, and adapt the project in harmony and this product aims to cut the fat and automate the fusion.

Why join us? Join the founding team of successful engineer-entrepreneurs significant equity negotiable base salary Job Details Job Details: We are seeking a dedicated and passionate Senior Software Engineer specializing in Agentic AI to join our early stage SaaS startup.

The successful candidate will play a pivotal role in developing and enhancing our innovative AI solutions; leveraging RAG, MCP, vector databases, LLMs, etc.

This is a permanent, full-time position.

You will be part of a collaborative team that is driving the future of technology services, pushing boundaries, and delivering cutting-edge solutions for our diverse clientele.

Currently stack is TypeScript, React, Node, PostgreSQL, AWS, pgvector, Delta Lake, ClickHouse, Terraform.

Looking into Pinecone, Weaviate, Python Responsibilities: Design, develop, and implement AI systems and solutions, focusing on Agentic AI principles.

Utilize Vector Database expertise to manage and optimize data handling processes.

Collaborate with cross-functional teams to understand requirements and develop AI solutions accordingly.

Drive continuous improvement initiatives, enhancing system performance, efficiency, and scalability.

Troubleshoot complex software issues, implementing robust and lasting solutions.

Stay updated with the latest industry trends and advancements in AI and machine learning.

Mentor junior engineers, fostering a collaborative and innovative team environment.

Ensure adherence to best coding practices, maintaining code quality and system security.

Participate in all phases of software development life cycle, including analysis, design, testing, and deployment.

Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field.

A Master's degree is preferred.

Minimum of 5 years of experience in software development, with a focus on AI and machine learning.

Proven experience with Vector Database is essential.

Strong knowledge of AI principles, machine learning algorithms, and data structures.

Proficiency in programming languages such as TypeScript, Python Excellent problem-solving skills, with the ability to troubleshoot complex software issues.

Strong understanding of software development methodologies and life cycles.

Excellent communication skills, with the ability to explain complex concepts to non-technical team members.

Demonstrated ability to work effectively in a team environment, collaborating with diverse teams.

Proven ability to manage multiple projects simultaneously, meeting deadlines and quality standards.

Strong desire to learn, grow, and stay updated with the latest industry trends and advancements.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer.

We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.

It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Sometimes Jobot is required to perform background checks with your authorization.

Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.

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Not Specified
Cybersecurity Analyst III - V
Salary not disclosed
Tucker 2 weeks ago
POSITION SUMMARY: The Cybersecurity Analyst is responsible for safeguarding the Corporation's data, systems, and cybersecurity posture.

This includes managing endpoint security solutions, protecting cloud environments (e.g., Microsoft 365 and Microsoft Azure), and overseeing key security tools and capabilities.

The Analyst develops and maintains cybersecurity policies, architectures, and standards to ensure compliance with industry regulations and best practices.

The role monitors emerging threats, responds to security incidents, and conducts investigations to mitigate vulnerabilities.

Cybersecurity Analysts implement data classification frameworks, enforce secure handling of sensitive information, and manage encryption protocols.

They deploy and optimize cybersecurity tools, manage threat intelligence platforms, and proactively address risks to ensure organizational resilience.

This position requires strong analytical skills, technical expertise, and the ability to collaborate across teams to maintain a secure IT environment.

Responsible for compliance with all applicable laws, regulations, industry standards, corporate policies, guidelines and procedures, including but not limited to, RUS, OSHA, SOX, NERC, FERC and ITS requirements.

Promotes an environment of compliance and continuous improvement to meet the Corporation's goals and objectives.

JOB DUTIES/ESSENTIAL FUNCTIONS Endpoint Security Management:Manage endpoint detection and response (EDR) solutions and ensure optimal configuration and operation across corporate systems.

Monitor and respond to endpoint threats, implement remediation measures, and maintain system integrity.

Cloud Security Management:Design, implement, and maintain cloud security solutions, focusing on platforms such as Microsoft 365 and Microsoft Azure.

Ensure secure configurations, monitor cloud environments for potential threats, manage access controls, and safeguard cloud-based resources.

Data Protection and Classification:Develop and implement data protection strategies, including encryption, secure storage, and access control measures.

Establish and maintain data classification frameworks to ensure sensitive information is securely handled and complies with regulatory requirements.

Threat Intelligence, Incident Response, and Investigation:Monitor emerging threats and maintain situational awareness through threat intelligence platforms.

Respond to security incidents by investigating root causes, analyzing attack vectors, and documenting findings.

Collaborate with teams on mitigation strategies to prevent recurrence and improve overall security posture.

Cybersecurity Tools Management:Deploy, configure, and maintain cybersecurity tools and capabilities, such as intrusion detection systems (IDS), security information and event management (SIEM) systems, vulnerability management platforms, and other security solutions.

Monitor tool efficacy and update configurations as needed.

Policy, Architecture, and Standards Development:Establish, review, and update cybersecurity policies, architectures, and standards to align with industry best practices and regulations.

Collaborate with stakeholders to ensure policies are actionable and effectively implemented across the organization.

REQUIRED QUALIFICATIONS Education: A Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, Engineering, Information Systems, or a related field from an accredited college or university.

Cybersecurity Analyst III Experience: Minimum of 4 years in managing cybersecurity tools, implementing secure cloud configurations, leading data protection strategies, and conducting security investigations.

Equivalent Experience: Minimum of 8 years of relevant experience may also be considered.

Responsibility: Independently manages endpoint and cloud security systems, leads data protection initiatives, investigates security incidents, and contributes to threat intelligence monitoring and policy development.

Cybersecurity Analyst IV Experience: Minimum of 6 years in designing and managing cybersecurity systems, implementing secure cloud strategies, developing data protection measures, and proactively using threat intelligence.

Equivalent Experience: Minimum of 10 years of relevant experience may also be considered.

Responsibility: Leads projects for the implementation of advanced cybersecurity tools and solutions, focusing on cloud security for Microsoft Azure and Microsoft 365.

Investigates complex incidents, analyzes threat intelligence, and develops detailed policies and standards.

Provides technical expertise across the IT function.

Cybersecurity Analyst V Experience: Minimum of 8 years in architecting and managing cybersecurity tools, implementing secure cloud strategies, overseeing enterprise-wide data protection measures, and leading incident response efforts.

Equivalent Experience: Minimum of 12 years of relevant experience may also be considered.

Responsibility: Oversees major projects involving cybersecurity architecture, cloud security tool implementation, and compliance strategies.

Provides leadership in incident response, threat intelligence integration, and enterprise security policy development.

Licenses, Certifications and/or Registrations: Relevant certificationsare a plus: Certified Information Systems Security Professional (CISSP) CompTIA Security+ Microsoft Certified: Azure Security Engineer Associate Microsoft Certified: Cybersecurity Architect Expert GIAC Certified Incident Handler (GCIH) GIAC Security Essentials Certification (GSEC) Certified Ethical Hacker (CEH) ITIL Foundation Specialized Skills (e.g., typing, computers, software, tools and equipment uses, etc.): Technical Expertise: Proficiencyin endpoint security solutions (e.g., EDR, antivirus, DLP).

Strong knowledge of cloud security principles, especially forMicrosoft 365 and Microsoft Azure.

Experience with cybersecurity tools such as SIEM platforms, vulnerability management systems, and IDS/IPS tools.

Familiarity with data encryption, secure storage solutions, and access control mechanisms.

Understanding ofthreat intelligence platforms and proactive risk management strategies.

Security In-depth understanding of cybersecurity frameworks (e.g., NIST CSF, ISO 27001) and regulatory requirements (e.g., NERC CIP, SOX).

Expertise inincident response processes and forensic investigation techniques.

Knowledge of advanced security architectures, policies, and standards.

Soft Skills: Excellent problem-solving/analyticalskills and attention to detail.

Good oral and written communication and interpersonal skills.

Excellent customer service focus and positive attitude.

Ability to work independently and as part of a team.
Not Specified
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