LPL Financial

Digital Marketing

• Report to the marketing manager.
• Work closely with multiple senior marketing consultants.
• Execute a digital marketing strategy for several LPL advisors.
• Schedule content to be distributed by social media, email, and blog.
• Make updates to an advisor’s website.
• Source promotional items and coordinate with vendors.
• Manage stationary reorders and ensure brand consistency in printed materials.
• Support the creation of demand generation forms, invitations, RSVP forms, and advisor outreach initiatives.
• Collaborate with compliance to ensure content, brand, and messaging are approved.
• Implement lead generation and niche prospecting process and workflow for implementation in the advisor’s practice to drive business growth for advisors and LPL Financial.
• Collaborate with the advisor’s office staff to ensure cohesive messaging and communications.
• Exhibit strategic agility when adopting and implementing LPL’s current tools and technology.
• Provide feedback and enhancements from the advisors.
• Actively participate in LPL’s culture and drive our mission and values.

Digital Marketing Associate

Communications

• Review and approve marketing materials and public communications
• Review Outside Business Activity and Private Securities Transaction requests
• Serve as a Subject Matter Expert (SME)
• Evaluate marketing materials and provide guidance on changes for approval
• Review outside business activities for compliance
• Consult with advisors on marketing initiatives and transactions
• Assist with regulatory inquiries

Senior Advisor, Communications – OBA Supervisory Principal

Product Manager

• Define product strategy and roadmap for advisor‑facing AI across prospecting, financial planning, investment management, client servicing, and practice operations.
• Own build, buy, or rent decisions for AI capabilities.
• Lead third‑party AI evaluation and sanctioned access.
• Define secure integration models for advisor‑built AI.
• Design and execute pilots.
• Own priority advisor journeys.
• Partner closely with Technology.
• Ensure governance and compliance readiness.
• Drive adoption and value realization.

VP II, Advisor AI Solutions – Product Management

Solutions Engineer

• Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
• Design and develop agentic AI solutions for: Data governance tracking and compliance monitoring.
• Exception detection and resolution across multiple data domains.
• Reconciliation frameworks using rule-based and AI-driven logic.
• Lifecycle management workflows for investor and operational domains.
• Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
• Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
• Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
• Implement event-driven architectures using AWS EventBridge, Lambda, and Step Functions for real-time orchestration.
• Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack.
• Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch).
• Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence).
• Ensure observability and reliability using AWS CloudWatch, X-Ray, and Dynatrace.
• Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
• Build automation frameworks using UiPath or RPA tools to complement AI-driven workflows.
• Optimize for performance, scalability, and cost efficiency in AWS deployments.
• Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud-native patterns.

AVP, AI Solutions Engineer

Security Engineer

• Establish and maintain AI security platform readiness across enterprise AI technologies
• Validate functionality, configuration, and deployment readiness of AI security platforms and controls
• Drive continuous optimization of AI security tooling, integrations, and engineering practices
• Define AI security engineering requirements to support SOC monitoring, detection, and response capabilities
• Develop and operationalize AI-specific detection use cases, alerting logic, and prevention workflows
• Enable integration of AI telemetry into SOC workflows and enterprise security operations
• Build and mature AI incident response processes and escalation procedures
• Partner with SOC teams to enhance detection engineering and overall operational effectiveness
• Integrate AI security technologies with enterprise platforms including SIEM, SOAR, EDR, CSPM, CNAPP, and logging systems
• Ensure interoperability between AI security controls and broader enterprise security tooling
• Operationalize telemetry pipelines and observability standards for AI systems
• Improve visibility into AI applications, model usage, prompt activity, and agent behavior
• Partner with cloud and endpoint security teams to optimize cross-platform integrations
• Establish governance frameworks and enforce security controls for AI systems operating in regulated environments
• Ensure alignment with compliance, regulatory, and enterprise security requirements
• Support audit readiness and validation of AI security controls
• Define policies for AI usage, access, monitoring, and automation
• Support risk assessments for AI platforms, integrations, and workflows
• Identify opportunities to automate security engineering and SOC processes
• Design and implement AI-assisted workflows using tools such as Claude, Cursor, and enterprise automation platforms
• Develop scalable automation playbooks and orchestration processes to improve efficiency and consistency
• Drive training and enablement across engineering teams for AI-assisted development and automation practices
• Develop and promote best practices for secure AI engineering workflows
• Create enablement materials, workshops, and repeatable standards for AI security adoption
• Communicate AI security capabilities, risks, and priorities to technical and executive stakeholders
• Support security leadership with AI security strategy and planning
• Drive cross-functional alignment across Security, Engineering, Risk, and Architecture teams

AI Security Engineer

Full-stack Engineer

• Work on a team responsible for building the LDX Data Experience platform.
• Develop scalable enterprise applications on AWS Cloud using containerized and serverless architectures.
• Build full-stack solutions for LDX: UI Development: Develop responsive, modular interfaces using Angular.
• API Development: Implement robust APIs using Python and .NET Core.
• Integrate AI-first and ML engineering principles into SDLC, embedding intelligent automation and predictive capabilities from design through deployment.
• Explore and implement AI-enabled techniques for intelligent data mapping, reconciliation frameworks, and automation.
• Champion API-first development for modular, reusable services aligned with LDX’s modernization goals.
• Implement performance optimization techniques for scalability, cost efficiency, and high availability.
• Collaborate with domain teams to deliver cohesive UI suites and integrate governance, lineage, and reconciliation workflows.
• Ensure observability and reliability by integrating monitoring tools like AWS CloudWatch and Dynatrace.
• Collaborate with other development teams, architecture, and support teams to design and maintain platform integrations.
• Provide technical troubleshooting and advanced debugging support.
• Stay current with emerging technologies and continuously improve development practices.

Senior Developer – Software Engineering

Engineering Manager

• Overseeing a team of software engineers
• Designing and developing high quality products with state of the art user interfaces
• Lead cross-functional collaboration sessions with business partners and architects
• Communicate technical concepts clearly to both technical and business audiences
• Mentor and develop team members through effective communication, coaching, and technical guidance
• Evaluate new design proposals and investigate process improvements

VP, Software Development Manager

Manager

• Handle Financial Advisor immediate escalations needing management contact and advanced support issues
• Monitor, coach, set performance goals, and motivate staff
• Help frontline agents with questions from advisors and office staff
• Assist in the training process of support staff
• Track their training progress and decide when they have reached milestones to move them on the next level of training
• Administrative management duties: timecard approvals, interviews, review time off requests, track attendance etc
• Provide superior customer service to a large base of financial advisors by handling incoming phone calls when needed including escalations
• Advise AVP/VP when there is a need for progressive counseling of a Service Professional
• Assist in writing and presenting the action plan and guidance to improve the Service Professional’s performance
• Monitor Frontline ACD performance reports looking for trends and areas of improvement
• Interview and make staffing decisions for hiring Service Professionals

Service Center Manager

Director

• Develop sales and recruiting strategies; research, source, and engage with prospects
• Identify new prospective advisors within the target segment by making initial sales calls, as well as respond to inquiries
• Individually own certain advisor segments of the pipeline from initial contact to the advisor joining LPL working in close partnership with Regional Directors and Division Managers
• Meet with prospective advisors to effectively demonstrate LPL’s unique value proposition and address any questions or concerns
• Expertly navigate long sales cycles, often with multiple buying influences
• Utilize discretion and independent judgment in evaluating potential advisors to determine whether the advisor and their book of business is an appropriate candidate for LPL
• Train and educate internal staff on the nuances of recruiting premium segment wirehouse and bank advisors, as well as coaching the team on the competitive landscape and what hurdles we need to overcome in order to win the business
• Continually improve and evaluate recruitment practices, ideas, opportunities, and affinity partnerships to increase ability to source women advisors
• Understand and articulate LPL’s business model, LPL’s policies, the financial services industry, and the benefits of joining one of LPL’s affiliation options
• Partner with the BD leadership team on the continued evolution of LPL’s offering and capabilities to establish ourselves as the leading solution in the market
• Identify external organizations, local events, and conferences that create new sourcing channels, and attend events on behalf of LPL and the Business Development group
• Serve as a subject matter expert who can empower LPL’s business development team through consultation and partnership, and by providing them with resources to attract premium segment candidates in their territories
• Design, experiment, and test new approaches to attract diverse candidates
• Effectively leverage data to track key program performance indicators, identify trends, and ensure projects and programs align to company priorities

Regional Director

Analyst

• Perform and support financial analysis, synergies forecast, and valuation and due diligence of potential acquisitions
• Collaborate with functional due diligence teams, including legal, finance & accounting, tax, human resources, operations, IT, sales, and strategy
• Develop, in partnership with Business Unit leaders, financial projections for acquisition targets and integration plans
• Prepare presentations and report to senior management on potential M&A transactions, capital structure, and strategic growth initiatives
• Develop deep knowledge of the wealth management industry
• Perform research, reporting and analysis on M&A activity and strategic partnerships in the industry
• Monitor past acquisition metrics
• Ad-hoc analysis, research, financial modeling, and additional responsibilities as required

Senior Analyst, Corporate Development

Vice President

• Manage services help content
• Optimize the customer self-help knowledge base
• Transform the customer service experience
• Deliver knowledge-related activities, including project-related initiatives and migrations across platforms
• Lead new AI transformative initiatives and guide the knowledge management team
• Coach team members in new technologies

AVP, Knowledge Management

Artificial Intelligence

• Collaborating internally with our Product and Technology teams so they can get the most value out of Kong Platform
• Developing internal solutions & tools for the organization to help us push our technical boundaries and improve our ability to deliver AI integration to the organization
• Writing or editing technical documentation and knowledge base articles for the solutions you develop
• Maintain and upkeep Kong platform
• Configure and develop Kong plugins for authentication, rate limiting (including token-based throttling), logging, and transformation

Kong AI Gateway Engineer

Business Development Rep

• Responsible for recruiting high quality financial advisors to the LPL Financial Platform
• Establish and maintain a network of centers of influence (COI)
• Create and manage a recruiting pipeline to transition candidates (Financial Advisors) to LPL
• Evaluate advisor practices to ensure transferability of assets and adherence to corporate compliance and affiliation standards.
• Strong negotiation skills and the ability to compile and present competitive offerings in partnership
• Build and maintain strong internal and external relationships critical to success in the role.
• Maintain up-to-date status of your recruiting pipeline within Salesforce
• Develop and implement a strategy for engaging with existing recruits and for feeding / building the pipeline
• Meet monthly KPI’s required for the role – calls / meetings

AVP, Business Development

• Define product vision and roadmap for key advisor-facing AI capabilities.
• Translate advisor workflow friction into AI-powered solutions.
• Deliver production-grade AI capabilities with defined success metrics and adoption plans.
• Lead disciplined experimentation from hypothesis through pilot validation.
• Develop commercialization plans for successful pilots and manage phased rollout to enterprise adoption.
• Apply documented build-vs-buy-vs-rent frameworks.
• Conduct market, competitive, and capability assessments of potential vendor partners.
• Partner with Technology and Risk to integrate third-party AI solutions under enterprise guardrails.
• Ensure all AI products meet compliance, legal, risk and regulatory requirements before deployment.
• Own rollout strategy, training integration, and advisor enablement materials.

AVP, AI Product Manager

• Develop and maintain software products used by advisors and investors to support investment planning and client engagement.
• Perform peer-to-peer and team code reviews, promoting engineering best practices and sharing knowledge on emerging technologies.
• Collaborate with both technical and non-technical partners to support product delivery, system operations, and continuous improvement.
• Translate business requirements into technical solutions and actively contribute to sprint planning, backlog refinement, and demonstrations.
• Support Agile product development teams building cloud‑based, modern technology solutions.
• Work closely with Development, Architecture, QA, Release Management, and Support teams to design, develop, test, deploy, and maintain integrated platforms.
• Participate in Agile ceremonies and follow SAFe methodology, including daily scrums, sprint planning, and PI planning.