<p>Full Stack Engineer</p><p>Location: Encino, CA (Primarily Onsite)</p><p>Compensation: $140,000–$160,000 Base Salary (DOE) + Bonus Incentives</p><p>Benefits:</p><ul><li>100% employer-paid Medical, Dental, and Vision coverage</li><li>Unlimited PTO</li><li>Flexible work hours (7–4, 8–5, 9–6, or 10–7)</li><li>Strong candidates may be considered for a hybrid schedule of 3 days onsite</li></ul><p>A growing digital media and technology organization is seeking a highly skilled Full Stack Engineer to join its engineering team. This role offers the opportunity to work on both new product development and ongoing enhancements to a large-scale digital platform, including premium subscription offerings and user-facing features.</p><p><br></p><p>Following a recent modernization of its web platform, the organization is continuing to expand its in-house engineering capabilities. The ideal candidate will thrive in a collaborative environment, take ownership of projects, and contribute to both front-end and back-end development efforts.</p><p>Responsibilities</p><ul><li>Lead the full software development lifecycle from concept through deployment</li><li>Design, build, test, and deploy scalable web applications and services</li><li>Own feature development from architecture through implementation</li><li>Maintain, optimize, and enhance existing production systems</li><li>Develop and maintain APIs and backend services</li><li>Architect intuitive and responsive front-end experiences</li><li>Collaborate closely with product, design, and engineering teams</li><li>Participate in code reviews and contribute to engineering best practices</li><li>Improve automated testing and deployment processes</li><li>Ensure applications are optimized for performance and scalability</li><li>Support cross-functional initiatives and contribute wherever needed</li></ul><p>What We're Looking For</p><p><br></p><p>The ideal candidate is a hands-on engineer who enjoys solving complex technical challenges, collaborating across teams, and building high-quality products that deliver meaningful impact. This role is well-suited for someone who combines strong technical expertise with a practical, team-first approach and a desire to contribute beyond their immediate responsibilities.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
We are looking for an experienced operations leader to support the growth and effectiveness of practice management programs for financial professionals in Carpinteria, California. This role focuses on designing and delivering high-impact learning experiences, consulting with business owners on operational improvement opportunities, and partnering across teams to strengthen performance and consistency. The ideal candidate brings strong financial services knowledge, a practical understanding of business operations, and the ability to translate complex needs into clear, actionable programs.<br><br>Responsibilities:<br>• Design, update, and manage a comprehensive practice management curriculum for new and established financial professionals and Financial Center owners.<br>• Partner with sales, recruiting, marketing, and other internal stakeholders to identify operational skill gaps and create learning solutions that address business needs.<br>• Produce instructional content in multiple formats, including guides, presentations, digital courses, videos, and reference materials, to support varied learning preferences.<br>• Lead virtual and in-person training sessions, workshops, and orientation programs that help participants improve productivity, consistency, and long-term business performance.<br>• Evaluate the needs of Financial Centers and advisors, then develop tailored annual practice management plans supported by coaching, resources, and follow-up documentation.<br>• Advise business owners on growth strategies, service expansion opportunities, and practice development initiatives that can increase revenue and enterprise value.<br>• Maintain high standards for instructional design, program quality, and learner engagement across all training materials and facilitation methods.
<p><strong>Job Title</strong></p><p>Manager, Data & Machine Learning Platform Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans.</p><p><br></p><p><strong>Role Summary</strong></p><p>This Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>