• 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.

Role Description BoostDraft is seeking a leader whose role extends beyond overseeing internal legal affairs to driving product development and business growth. Leveraging your expertise gained in law firms or corporate legal departments, you will lead the enhancement of our product to solve customer challenges, support enterprise deployments, and drive the overall digitization of the legal sector. Many legal professionals spend a significant portion of their time on tasks like document formatting, correcting inconsistencies, and verifying cross-references, rather than engaging in core legal strategy. BoostDraft addresses these operational inefficiencies through technology, providing an environment where experts can focus on their primary responsibilities. Responsibilities - Product Development Contribution: - Logically deconstruct complex legal workflows and collaborate with the development team to define functional requirements. - Bring deep legal expertise to achieve technical excellence through rapid iteration, experimentation, and actionable feedback. - Enterprise Customer Success and Value Maximization: - Lead the strategic rollout and adoption of BoostDraft at top-tier law firms and global enterprises. - Lead product adoption and be accountable among BD leadership for continually growing customer satisfaction quantitatively and qualitatively. - Drive account growth by identifying and executing upselling and cross-selling opportunities to increase overall business revenue. - Public Relations and Brand Awareness: - Evangelize BoostDraft and the evolving role of Legal Engineering by sharing insights at major industry conferences. - Articulate our company's vision and the latest trends in legal sector digitization. - Organization Building and Talent Development: - Recruit and train team members with legal expertise (Legal Experts). - Build an organizational structure capable of consistently and autonomously generating high results. - Corporate Legal and Governance Oversight: - Contribute to the update of the due diligence process with respect to global expansion. Qualifications - Active license to practice law (in Japan or another major jurisdiction). - Business-level fluency in both Japanese and English. - 3+ years of practical experience in a law firm or corporate legal department. Experience managing legal operations is a strong plus. - A strong commitment to solving challenges in the legal sector through the application of technology. Requirements - Fully remote working arrangement. - Flexible working time: 6:00 am - 11:30 am / 3:00 pm - 10:00 pm. - Core time: 11:30 am - 3:00 pm. - Possibility of commuting to a location designated by the company due to business reasons. - 5-day workweek (Saturday, Sunday, Public Holidays / End of Year and New Year holidays set by company). - Full-time employment (Fixed overtime pay included). - 6 months probation period. - Prevention of passive smoking. Benefits - Relocation assistance for those wishing to move to Japan. - Virtual office environment for engaging with colleagues.