Salesforce Developer

CareerCircle
Saddle Brook, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 199K

Job location

Remote
Saddle Brook, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Application Integration Architecture
Azure
Cloud Computing
Cloud Engineering
Computer Security
Information Systems
Data Governance
Python
Machine Learning
Product Management
Salesforce
SAP Applications
Systems Integration
Workflow Management Systems
Scripting (Bash/Python/Go/Ruby)
Prompt Engineering
IT Architecture
Generative AI
AI Platforms
Information Technology
low-code
REST
Automation Anywhere
ServiceNow

Job description

Cannabis Scripting AI Agents Operations Automation Governance Salesforce ServiceNow Scalability Prototyping RESTful API AWS Bedrock AI Adoption Azure OpenAI Communication Cyber Security Prioritization Responsible AI Data Governance Solution Design Business Process Computer Science SAP Applications Machine Learning Behavioral Health Value Realization Product Management Business Valuation Financial Services Prompt Engineering Workflow Management Business Objectives Business Operations Strategic Alignment Portfolio Management Regulatory Compliance Business Architecture Technology Strategies Cloud-Native Computing Stakeholder Management Digital Transformation Intelligent Automation Artificial Intelligence Organizational Strategy Enterprise Architecture Executive Presentations Permanent Resident Cards Agile Product Management Cybersecurity Compliance Python (Programming Language) Healthcare Industry Knowledge Cybersecurity Risk Management Retrieval Augmented Generation Artificial Intelligence Strategy Key Performance Indicators (KPIs) Generative Artificial Intelligence Proof Of Concept (POC) Development Artificial Intelligence Development Artificial Intelligence Infrastructure Application Programming Interface (API) Applications Of Artificial Intelligence, The AI Business Product Manager (Technical) is responsible for identifying, shaping, prioritizing, prototyping, and driving AI-enabled business capabilities that deliver measurable enterprise value.

This role combines business architecture, product management, AI technology evaluation, and hands-on technical experimentation responsibilities to bridge business operations, enterprise architecture, and AI delivery teams. The position plays a key role in translating enterprise priorities and operational challenges into scalable AI opportunities aligned with organizational strategy, governance standards, and technology capabilities.

This role partners closely with business units, Enterprise Architecture, IT delivery teams, cybersecurity, data governance, and the AI Center of Excellence (AI CoE) to support responsible and value-driven AI adoption across the enterprise.

This role is technically hands-on, supporting rapid experimentation, proof-of-concept (POC) development, platform evaluation, and technical feasibility assessments across emerging AI technologies and enterprise platforms., * Enterprise AI Opportunity Discovery & Strategy: Partner with business leaders to identify and evaluate AI opportunities across operational, customer, and corporate domains. Analyze business capabilities, workflows, pain points, and value streams to identify AI enablement opportunities. Translate business challenges into well-defined AI use cases and product opportunities. Support development and execution of the enterprise AI roadmap and portfolio strategy. Conduct discovery workshops and facilitate AI ideation sessions with business stakeholders.

  • AI Prototyping, Technical Evaluation & Solution Design: Develop lightweight prototypes and proof-of-concept (POC) solutions to validate AI use cases, business value, and technical feasibility. Perform hands-on experimentation with AI agents, copilots, Generative AI workflows, automation capabilities, and emerging AI technologies. Evaluate and compare enterprise AI technologies and platforms including Azure OpenAI, AWS Bedrock, SAP, ServiceNow, Salesforce, and other AI-enabled enterprise platforms. Participate in architectural discussions related to AI solution design, integration approaches, scalability, security, and operational readiness. Assess multiple technical approaches to determine best-fit solutions based on business value, feasibility, governance, scalability, and operational considerations. Collaborate with AI engineering and platform teams to transition validated prototypes into scalable enterprise solutions.
  • Business Architecture & Capability Alignment: Evaluate business processes and target-state operating models to identify opportunities for AI-driven transformation. Assess alignment between business objectives, enterprise architecture standards, and AI technology capabilities. Collaborate with Enterprise Architecture and platform teams to align AI initiatives with enterprise technology strategy. Identify opportunities to leverage native AI capabilities within enterprise platforms and third-party applications.
  • AI Product & Portfolio Management: Manage AI use cases from ideation through implementation and value realization. Develop business cases, value hypotheses, success metrics, and KPI frameworks for AI initiatives. Support AI intake, prioritization, and portfolio management processes. Evaluate AI opportunities based on business value, technical feasibility, risk, operational impact, and strategic alignment. Maintain and manage AI initiative backlog and prioritization artifacts. Track adoption, business outcomes, operational improvements, and ROI metrics.
  • Cross-Functional Collaboration & Delivery Support: Partner with AI engineering, platform, and IT delivery teams to define solution requirements and implementation approaches. Collaborate with cybersecurity, legal, compliance, and governance stakeholders throughout AI intake and approval workflows. Coordinate with enterprise platform owners to evaluate native AI capabilities and AI feature enablement opportunities.
  • Responsible AI & Governance Alignment: Ensure AI initiatives align with enterprise AI governance, cybersecurity, compliance, privacy, and responsible AI standards., As an employee of PSEG, you should be aware that during emergency restoration efforts, you may be required to perform functions outside of your routine duties and on a schedule that may be different from normal operations. For all roles, PSEG's drug and alcohol testing program includes pre-employment testing, testing for cause, and post-incident/accident testing. Employees who are hired or transfer into a federally regulated role (including positions covered by USDOT, PHMSA, or NRC regulations) are subject to random drug and alcohol testing, inclusive of marijuana. Although numerous states throughout the country have legalized marijuana/cannabis products recreationally and medically, the use of these products are prohibited for employees in federally regulated roles. Please note that the use of CBD products may result in a positive drug test for THC/Marijuana and such use is not a legitimate medical explanation for a positive result.

If you are a current PSEG Long Island (PSEGLI) employee and offered an opportunity with PSEG or any of its subsidiaries other than PSEGLI, you will be treated as a new hire. Please note that as a new hire to PSEG, your benefits will change and generally will be consistent with other similarly situated PSEG new hires. Similarly, for PSEG employees who accept job opportunities with PSEGLI, your benefits will change and generally be consistent with other similarly situated new hires of PSEGLI., Know your Rights: Workplace Discrimination is Illegal Related Jobs SB Supply Chain Product Manager- Mechanical Turner Construction Co. Saddle Brook, NJ*On-Site Sales Scheduling Leadership Governance Purchasing Accounting Supervision Negotiation Procurement Coordinating Cost Control Supply Chain Communication Bid Management Decision Making Market Dynamics Vendor Contracts Talent Management Product Knowledge Critical Thinking Delegation Skills Capacity Planning Performance Review Project Stakeholders Performance Appraisal Relationship Building Supply Chain Management Environmental Sustainability Vendor Relationship Management Key Performance Indicators (KPIs) Environmental Social And Corporate Governance (ESG) +0

Google Project Management 12086 AI Business Product Mgr PSEG Newark, NJ*Remote Ideation Cannabis Scripting AI Agents Operations Automation Governance Salesforce ServiceNow Scalability Prototyping RESTful API AWS Bedrock AI Adoption Azure OpenAI Communication Cyber Security Prioritization Responsible AI Data Governance Solution Design Business Process Computer Science SAP Applications Machine Learning Behavioral Health Value Realization Product Management Business Valuation Financial Services Prompt Engineering Workflow Management Business Objectives Business Operations Strategic Alignment Portfolio Management Regulatory Compliance Business Architecture Technology Strategies Cloud-Native Computing Stakeholder Management Digital Transformation Intelligent Automation Artificial Intelligence Organizational Strategy Enterprise Architecture Executive Presentations Permanent Resident Cards Agile Product Management Cybersecurity Compliance Python (Programming Language) Healthcare Industry Knowledge Cybersecurity Risk Management Retrieval Augmented Generation Artificial Intelligence Strategy Key Performance Indicators (KPIs) Generative Artificial Intelligence Proof Of Concept (POC) Development Artificial Intelligence Development Artificial Intelligence Infrastructure Application Programming Interface (API) Applications Of Artificial Intelligence

Requirements

  • Bachelor's degree in Business, Information Systems, Engineering, Computer Science, or related field
  • 8+ years of experience in product management, business architecture, digital transformation, technology delivery, or AI-related initiatives
  • Experience with Artificial Intelligence (AI), Generative AI, Machine Learning, analytics, intelligent automation, or cloud AI platforms
  • Experience working cross-functionally with business and technology organizations
  • Strong understanding of enterprise business processes, operational transformation, and technology enablement
  • Experience developing business cases, roadmaps, prioritization frameworks, and value realization metrics Hands-on experience prototyping AI solutions, AI workflows, copilots, automation solutions, or low-code/no-code AI applications
  • Exposure to prompt engineering, AI agents, Retrieval-Augmented Generation (RAG), APIs, workflow orchestration, or AI integration concepts
  • Strong communication, facilitation, stakeholder management, and executive presentation skills
  • Ability to participate in technical discussions related to AI architecture, integrations, cloud platforms, APIs, and enterprise solution design

Desired

  • MBA
  • Familiarity with Azure OpenAI, AWS Bedrock, ServiceNow AI, SAP AI, Salesforce AI, or similar enterprise AI platforms
  • Familiarity with Python, scripting, REST APIs, or cloud-native AI development concepts
  • Experience within regulated industries such as utilities, energy, financial services, or healthcare
  • Experience with Agile product management and iterative delivery methodologies
  • Understanding of AI governance, cybersecurity, risk management, and regulatory considerations

Some positions at PSEG require access to information covered by the Department of Energy's regulation 10 CFR 810 (Part 810). If applicable, the successful applicant must prove they are: (1) a citizen or national of the USA; OR (2) a lawful permanent resident of the United States (Non-Conditional Permanent I-551 / Green Card / Permanent Resident Card holder); OR (3) a citizen, national, or permanent resident of a "Generally Authorized" destination on the attached list not also a citizen, national, permanent resident of any country not listed; OR (4) a "Protected Individual" under the Immigration and Naturalization Act (8 U.S.C 1324b(a)(3)).

Benefits & conditions

Here, you'll have the stability and exciting opportunities that come with being a Fortune 500 company - along with a supportive, friendly work environment where your contributions are valued.

We know life isn't one-size-fits-all, and neither is work. That's why we offer flexible work options depending on the role. In support of this model, roles have been categorized into one of three work location categories:

  1. Onsite - roles where employees are expected to be onsite daily.
  2. Hybrid fixed - roles that are a mix of remote work and onsite work fixed days each week
  3. Hybrid flexible - roles that are a mix of remote work and onsite work, but the onsite requirements have greater flexibility. (i.e. 5-8 days a month vs. set days each week).

As an employee, if you are regularly scheduled to work 20 or more hours per week, you will have access to a wide range of comprehensive benefits from day one, designed to support your total well-being: medical, dental, vision, parental leave and family leave programs, behavioral health programs, 401(k) with company match, life insurance, tuition reimbursement, and generous paid time off.

About the company

We're one of the country's largest energy companies, with a vision of powering a future where people use energy more efficiently and it's safer and delivered more reliably than ever. We're also deeply connected to the communities we serve, with more than 13,000 employees working together to support our customers and make a difference every day., More than 13,000 people already call PSEG their work home, taking pride in providing safe, reliable service to millions of customers. If you're looking for a place where you can build a meaningful career and help power and support our communities, we'd love to welcome you to the team.

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