Title: Sr Manager, Software Development & Engineering Senior (PL) Location: Westlake United States US-TX-Westlake Requisition ID 2026-121992 Posted Date 4 days ago(5/21/2026 7:35 PM) Category Engineering & Software Development Salary Range USD $209,394.00 - $215,000.00 / Year Job Description: Your Opportunity At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. Job Duties: Lead a team of software engineers to deliver significant business results as well as maintain and incrementally improve software applications used by Schwab's Registered Investment Advisor (RIA) community. Build strong partnerships with internal stakeholders and external vendors to align platform development with broader organizational goals. Advocate for technological advancements that drive business value. Lead day-to-day activities and influence team members to leverage and support agile software development practices. Develop and document resourcing roadmaps, budgets and schedules. Ensure team is properly engaged, aware of career breakthroughs/path, aware of their role on the team and how it relates to others; how their contributions meet the overall vision. Systematically analyze platform operations to identify bottlenecks and inefficiencies. Implement solutions that enhance service delivery and user satisfaction. Lead all recruiting activities across the team (create different avenues when necessary). Identify and document the roles, tasks, and responsibilities of each team member. Assist the 'Run' and 'Support' teams in building durable systems/applications and ensuring a low MTTR (mean time to resolution). Identify gaps/risks early and establish mitigation plans (both technically and with regards to resources). Increase the overall visibility of the team; celebrate/track accomplishments and build relationships with key leaders in other groups. Continually strive for improvements in process, talent acquisition/retention, application time-to-market and quality. Exceptional data analysis skills, including data mapping of systems, vendor integration, and database queries Superior intellectual curiosity and problem-solving skills to explore what problems need to be solved, identify and analyze key insights, and find creative solutions. Number of direct reports may vary. Position supervises other employees. What you have Job Requirements: Requires Bachelor's in Computer Science, Information Technology, or related field and 72 months of progressive, post-baccalaureate experience.. Experience must include some experience in each of the following skills: Full stack application development technologies including C#, .NET, .NET core, React and Angular, Micro Services, Micro Front End frameworks (MFEs); Relational (Oracle) and Document-Based (No SQL or MongoDB) database, Caching - Redis, Aerospike; Cloud Technologies (Pivotal Cloud Foundry, GCP); Container technology such as Docker, version control systems (GitHub, bitbucket), build management; CI/CD tools (Jenkins, Bamboo) and monitoring tools (App Dynamics, Thousand Eyes, Splunk); Vulnerability, Security scan tools, MRAs (Veracode, SonarQube); QA Tools, including IPA, MABL, Promotheus, Cypress, Specflow; and, CRM - Salesforce Service Cloud and contact center, SAP MDG, CRM, Service Cloud. We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).

• Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development. • Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact. • Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems). • Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries. • Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil. • Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers.

Title: Engineering Manager, Data Science Location: United States, Remote Job Description: Fluent is building the next-generation advertising network, Partner Monetize & Advertiser Acquisition. Our vision is to build an ML/AI-first network of advertisers and publishers to achieve a common objective — elevating relevancy in E-commerce for everyday shoppers. As our Engineering Manager, Data Science, you will lead the team responsible for driving business value through machine learning and advanced analytics in the Adtech space. You will own ROAS optimization, audience propensity modeling, and deep learning powered capabilities that differentiate Fluent's advertising products and drive client success. We are seeking expert-level knowledge of sequence modeling (Transformers/Attention) and generative approaches for user behavior, moving beyond legacy logistic regression to implement deep architectures that solve for data sparsity and long-term user value. This role combines hands-on ML expertise with people leadership, requiring you to set technical direction for modeling initiatives while building and developing a high-performing data science team. This role is fully remote What You'll Do Machine Learning & Modeling - Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity, lookalike modeling, and real-time segmentation. - Own Value-Based Bidding (ROAS): Evolve our bidding strategy from simple conversion prediction to sophisticated ROAS-based optimization, developing models that predict user value (LTV) to maximize client returns within dynamic auction environments. - Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency, moving beyond static models to self-correcting systems. - Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelines, including embedding layers, real-time feature stores, and low-latency serving infrastructure such as ONNX, TensorRT etc. - Advance MLOps & Experimentation: Establish rigorous MLOps practices for model versioning and drift detection while shifting further into multi-armed bandit strategies (Exploration vs. Exploitation) that optimize directly for business outcomes (Revenue/GP) rather than just model metrics. Leadership & Collaboration - Lead and grow the Data Science team: hiring, mentoring, performance management, and career development. - Partner with Product and Client Success to translate business requirements into ML solutions and communicate model capabilities. - Coordinate with Data Platform team to ensure reliable data foundations and feature pipelines for modeling. - Translate complex ML concepts into actionable insights for business stakeholders and executives. - Set technical direction and foster a culture of innovation, rigor, and continuous improvement. Requirements - PhD (preferred) or Master’s Degree in Computer Science, Mathematics, or other Quantitative Field. - 8+ years of experience in Data Science or ML Engineering, with at least 2 years managing or leading technical teams. - AdTech Deep Learning Architecture Expertise: Deep hands-on experience with modern ranking and retrieval architectures (e.g., DLRM, DCNv2, Two-Tower), with a focus on multi-objective learning (MMoE) to jointly optimize for clicks, conversions, and revenue. - Strategic Ownership of Agentic AI: Demonstrated passion for and aptitude in defining the roadmap for autonomous agentic systems. You must be ready to learn, champion, and own the evolution from static RAG to production-grade agentic orchestration. - Real-Time Inference & Engineering: Experience deploying complex models into high-throughput, low-latency production environments (familiarity with ONNX, TensorRT, or feature stores). - Commercial & Business Acumen: Ability to translate improved model performance (AUC/LogLoss) into tangible business metrics (GP, RPM) and prioritize R&D efforts based on ROI and unit economics. - Strong Python skills with a focus on Deep Learning frameworks (PyTorch, TensorFlow) as well as traditional ML libraries (XGBoost, scikit-learn). - Proven people management skills: Experience hiring, mentoring, and developing high-performing data science talent. - Excellent communication skills for translating technical concepts to business stakeholders and executives. Nice-to-Haves - Hands-on Agentic Framework Experience: Familiarity with graph-based orchestration such as LangGraph, multi-agent systems (CrewAI), or emerging standards like Model Context Protocol (MCP). - ROAS optimization and campaign performance modeling. - Databricks and MLflow experience. - Experience with audience/customer modeling: propensity, lookalike, segmentation, or recommender systems. About Us Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging diverse ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance marketing to drive monetization and increase engagement at key touchpoints across the customer journey. For more insights visit: Benefits At Fluent, we like what we do, and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition, we offer a fully stocked kitchen, catered lunch, and our office manager keeps the calendar stocked with activity filled events. When we’re not eating, working out, or planning parties, Fluent folks can be found participating in networking events, and bonding across teams during quarterly outings to baseball games, fancy dinners, and a variety of activities. And we have all the practical benefits, too… - Competitive compensation - Ample career and professional growth opportunities - New Headquarters with an open floor plan to drive collaboration - Health, dental, and vision insurance - Pre-tax savings plans and transit/parking programs - 401K with competitive employer match - Volunteer and philanthropic activities throughout the year - Educational and social events - The amazing opportunity to work for a high-flying performance marketing company! Salary Range: $180,000 to $225,000 base, + competitive bonus. The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance.

- **Product & Technical Leadership** – Define and track OKRs in collaboration with Product and Design, ensuring alignment with strategic goals. Balance feature development with addressing technical debt and improving system health in a well structured Agile process. Guide thoughtful adoption of AI tooling to efficiently deliver secure, high quality engineering work at scale. - **Technical Oversight** – Guide technical discovery, review designs and architecture decisions, and contribute to development when necessary to support the team’s success. - **Team Development** – Mentor and grow engineers of varying seniority through regular 1:1s, career development plans, and structured feedback. Foster a culture of engagement, ownership, and technical excellence. - **Cross-functional Collaboration** – Work closely with Product and Design to ensure technical feasibility, maintain high-quality standards, and deliver impactful solutions. - **Engineering Standards & Best Practices** – Help define and implement engineering standards across teams, ensuring consistency in quality, performance, and reliability. - **Operational Excellence** – Monitor and maintain engineering health metrics (SLOs, error rates, cycle time, operational costs) to drive improvements in processes, system performance and reliability. - **Incident Management & On-call Processes** – Oversee incident response, and post-mortems, ensuring effective resolution and long-term fixes for recurring issues. - **Continuous Improvement** – Drive enhancements in development workflows, testing practices, CI/CD pipelines, and overall engineering efficiency.