CrawlJobs Logo

Engineering Manager - AdTech Data Science

fluentco.com Logo

Fluent, Inc

Location Icon

Location:
United States

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

160000.00 - 225000.00 USD / Year
Save Job
Save Icon
Apply Position

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 - AdTech 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.

Job Responsibility:

  • 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
  • Champion Agentic AI & Automation: Spearhead the exploration and adoption of autonomous agentic workflows to enhance decisioning and operational efficiency
  • Build Production Deep Learning Systems: Oversee the end-to-end engineering of high-scale inference pipelines
  • Advance MLOps & Experimentation: Establish rigorous MLOps practices for model versioning and drift detection while shifting further into multi-armed bandit strategies
  • 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
  • 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)
  • Strategic Ownership of Agentic AI: Demonstrated passion for and aptitude in defining the roadmap for autonomous agentic systems
  • 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)
  • 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 have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Fluent, Inc - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Engineering Manager - AdTech Data Science

Senior Manager, Product Management Data and Analytics AdTech

We are seeking a Senior Manager, Product Management (Data & Analytics) to lead o...
Location
Location
United States , Bellevue
Salary
Salary:
151700.00 - 273700.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree Computer Science, Engineering, or Information Technology
  • Master's/Advanced Degree Business Administration or Technology Management
  • 4-7 years experience in product management experience, including at least 3+ years in a leadership or mentorship capacity
  • Strong SQL skills
  • demonstrated experience integrating machine learning or predictive modeling into product strategies
  • Proven success leading small product teams, driving alignment, and encouraging teamwork across cross-functional groups
  • Ability to frame business problems in analytical terms and translate insights into actionable product features
  • Familiarity with ad tech identity solutions (MAIDs, cookies, IDFVs), privacy regulations (GDPR, CCPA), and data governance
  • Capable of articulating sophisticated technical concepts to diverse audiences, including executives, engineers, and clients
  • Track record of delivering products
Job Responsibility
Job Responsibility
  • Platform Data Product Strategy & Vision Define and execute the platform data and analytics roadmap
  • Hands-on Technical Execution Use SQL and other data analysis tools to investigate product performance
  • Team Leadership & Development Lead, mentor, and develop a small team of product managers or analysts
  • Machine Learning Integration Collaborate with data science teams to embed ML models into product offering
  • Cross-Functional Collaboration Work closely with engineering, data science, sales, and marketing to align on product goals
  • Data-Driven Decision-Making Leverage product metrics, user feedback, and analytics to inform decisions
  • Client & Stakeholder Engagement Gather and prioritize feedback from internal and external stakeholders
  • Market & Competitive Analysis Stay informed on emerging industry trends, technologies, and competitor strategies
  • Ownership of Full Product Lifecycle Oversee products from ideation through launch and ongoing optimization
  • Compliance & Privacy Collaborate with legal and compliance teams to design privacy-first product features
What we offer
What we offer
  • medical, dental and vision insurance
  • flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • Fulltime
Read More
Arrow Right

Product Manager

We’re looking for a high-impact Product Manager to join Axon in Beijing. Build t...
Location
Location
China , Beijing
Salary
Salary:
Not provided
applovin.com Logo
AppLovin
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluent in English and Mandarin
  • Degree in a quantitative or technical field preferred (e.g., Computer Science, Engineering, Mathematics, Economics, Finance, Statistics)
  • Some experience (including internships) with software products in technical or product-centric roles
  • Strong analytical and problem-solving skills
  • Highly organized and execution-driven
  • Self-starter who likes figuring things out from 0→1
  • Excellent communicator and teammate
  • Energized by a fast-moving, ever-changing environment
Job Responsibility
Job Responsibility
  • Own product features end-to-end for our ad and mediation products
  • Design powerful tools and workflows with engineering, design, and business teams
  • Use data, experiments, and user feedback to prioritize boldly, validate ideas, and double down on what works
  • Scan the AdTech landscape and turn market and tech trends into concrete product bets
  • Tell the story clearly—write sharp specs, explain trade-offs, and keep everyone aligned
Read More
Arrow Right

Engineering Manager II- AdsTech, Data Insights and Recommendations

As an Engineering Manager, you will play a critical role in driving Uber’s rapid...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 14+ years of overall software engineering experience
  • 3+ years in engineering management leading backend and data-intensive systems
  • Proven track record in designing and scaling data or reporting platforms, preferably in e-commerce, advertising, or On-Demand Delivery (OFD) domains
  • Deep technical expertise in distributed systems, real-time and batch data processing, and analytics (e.g., Spark, Hive, Pinot, Kafka, Flink, Presto)
  • Experience working with recommendation or personalization systems and collaborating with ML/Applied Science teams
  • Strong leadership and communication skills with the ability to drive clarity, alignment, and accountability across global teams
Job Responsibility
Job Responsibility
  • Foster a collaborative, inclusive, and high-performance culture
  • Provide mentorship, clear career paths, and development opportunities
  • Promote a culture of technical excellence — emphasizing strong design principles, code quality, and peer reviews
  • Lead design and delivery of scalable data, reporting, and recommendation platforms
  • Drive the architectural vision for multi-LOB insights generation, personalization, and measurement frameworks
  • Partner with Product Managers, Data Scientists, and cross-functional engineering teams to define the long-term roadmap
  • Collaborate with teams across Mobility, Delivery, and Grocery Ads to integrate performance insights, targeting, and experimentation capabilities
  • Translate advertiser and business requirements into reusable, scalable, and high-impact data solutions
  • Ensure the highest standards of data quality, availability, and trust across Ads reporting and datamarts
  • Implement robust observability, anomaly detection, and automated recovery mechanisms
Read More
Arrow Right
New

Engineering Manager - AdTech Data Science

Fluent is building the next-generation advertising network, Partner Monetize & A...
Location
Location
Canada , Toronto
Salary
Salary:
160000.00 - 225000.00 CAD / Year
fluentco.com Logo
Fluent, Inc
Expiration Date
Until further notice
Flip Icon
Requirements
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.
Job Responsibility
Job Responsibility
  • 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
  • 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.
What we offer
What we offer
  • 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!
  • Fulltime
Read More
Arrow Right
New

Senior Technical Product Manager, Identity

tvScientific is looking for a Senior Product Manager to lead our identity graph ...
Location
Location
United States
Salary
Salary:
165000.00 - 180000.00 USD / Year
tvscientific.com Logo
tvScientific
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in product management, solutions engineering, or technical partnerships focused on data-driven products, audience targeting, or martech
  • Deep experience working with Data Science and Engineering teams to build and launch data infrastructure
  • Expertise in identity resolution, segmentation, onboarding, and activation workflows
  • Proven ability to source, evaluate, and operationalize third-party data partnerships
  • Strong analytics mindset and comfort working with large datasets
  • Technical fluency across APIs, data pipelines, audience graphs, and privacy frameworks
  • Excellent communication skills that translate technical ideas into real business value
  • A solid foundation in AdTech
Job Responsibility
Job Responsibility
  • Own the identity product strategy and lead the vision for tvScientific’s identity graph enabling persistent, multi-device recognition across CTV and digital
  • Partner with Data Engineering and Data Science to architect and optimize graph-based data models representing user identity, household relationships, and device linkages
  • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows
  • Embed privacy-centric solutions like UID 2.0, RampID, and emerging standards into the graph infrastructure to ensure compliance and scalability
  • Source, evaluate, and onboard third-party identity and behavioral data providers to improve graph completeness and targeting precision
  • Lead technical integration and operationalization of identity and graph enrichment partners, managing ingestion, data mapping, and deployment
  • Collaborate with Legal, Security, and Data teams to ensure compliance with CCPA, GDPR, and global privacy regulations
  • Maintain a strategic view of the identity and data ecosystem to recommend build versus partner strategies that maximize value
  • Write detailed product requirements, data specifications, and user stories to guide Engineering and Infrastructure teams on performant graph storage, traversal, and querying
  • Define and monitor key metrics such as match rates, accuracy, persistence, identity coverage, and campaign performance impact
What we offer
What we offer
  • Full health, dental, and vision insurance - up to 95% funded by the company for employees
  • Employee stock option program
  • Company-sponsored retirement plan with a matching contribution program
  • 12 annual paid holidays (including 2 flexible days)
  • Generous PTO policy
  • A remote-first environment that allows employees flexibility to work from most places in the US
  • Fulltime
Read More
Arrow Right

Data Science & Algorithms Team Lead – AdTech

Start.io is a sell-side omnichannel advertising platform powered by real-time mo...
Location
Location
Salary
Salary:
Not provided
start.io Logo
Start.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc in Computer Science, Mathematics, Statistics, or a related field
  • Strong background in Data Science, Reinforcement Learning, and classical ML for tabular data
  • At least 3 years of proven team leadership experience in real-time, production systems
  • Experience leading or mentoring technical teams
  • Strong hands-on skills in Python and common ML libraries (e.g., regression/classification, XGBoost / LightGBM, recommendation systems, etc.)
  • Solid understanding of databases and SQL for data retrieval and analysis
  • Familiarity with monitoring/alerting tools such as Grafana and Kibana
  • Strong analytical mindset and ability to thrive in a dynamic and changing environment
  • Excellent communication skills, with the ability to clearly explain complex technical concepts to management and cross-functional teams
Job Responsibility
Job Responsibility
  • Lead, mentor, and grow a team of data scientists, ML engineers, and analysts
  • Own the end-to-end lifecycle of algorithmic solutions — from translating business needs into a data science problem formulation, researching and proposing solutions, defining required data sources and transformations, and designing the supporting infrastructure, to establishing production-grade testing, monitoring, and value measurement
  • Design and constantly deliver low-latency algorithms and their modifications, in production. Including designing low latency feature store
  • Define and drive monitoring, QA, data drift, and model quality standards, ensuring reliability and continuous improvement
  • Work closely with DevOps/MLOps to ensure the solution runs on scalable and highly reliable infrastructure
  • Coordinate and align efforts across multiple teams — Data, DataOps, MLOps, Analytics, BI, and QA — to ensure smooth delivery and execution
  • Collaborate closely with Product, Engineering, Infrastructure, and Business stakeholders in a fast-paced environment
  • Drive the team’s technical direction, actively participating in idea generation, solution design, and design reviews
Read More
Arrow Right
New

Marketing Technology Manager II, Data Solutions

At Uber, we ignite opportunity by setting the world in motion. The Data Solution...
Location
Location
United States , San Francisco
Salary
Salary:
142000.00 - 158000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in a technical/quantitative field (Computer Science, Engineering, Mathematics), or Marketing degree with strong technical experience
  • Strong working knowledge of SQL, APIs, and data pipeline tools (ETL, Airflow, dbt, or equivalent)
  • Experience with marketing data (e.g., pixel tracking, event sharing, attribution, or ads platform APIs)
  • Demonstrated ability to debug data issues, communicate root causes, and deliver data-driven recommendations
  • Track record of designing and documenting systems that increase operational resilience and visibility
  • Ability to thrive in ambiguity, context-switch across business and technical stakeholders, and deliver high-quality, timely results
  • Strong stakeholder management skills: ability to build alignment, navigate ambiguity, and coordinate work across cross-functional partners to drive outcomes
  • Comfortable challenging the status quo, applying critical thinking, setting high standards to think ambitiously and creatively to build and validate various hypotheses
Job Responsibility
Job Responsibility
  • Lead data solutions projects end-to-end: Scope, plan, execute, and deliver measurable outcomes, while supporting large-scale initiatives with senior partners
  • Architect and improve data pipelines: Design, validate, manage, and enhance ingestion and sharing flows across internal and external systems (APIs, warehouses, tracking platforms)
  • Operationalize reliability and observability: Define standards for monitoring, alerting, documentation, and service ownership
  • improve uptime and error transparency across pipelines
  • Automate and scale operations: Build tooling (scripts, dashboards, utilities) to reduce manual work, standardize validation, and increase visibility across stakeholders
  • Drive incident-style investigations and resolution: Lead investigations into data discrepancies or performance anomalies, deliver crisp root cause narratives, and drive durable fixes with partner teams
  • Influence cross-functional stakeholders: Informally lead across XFN groups (Marketing, Product, AdTech, Engineering, Data Science), align on priorities, and communicate progress, risks, and decisions
  • Communicate with clarity and leverage narrative: Autonomously craft compelling narratives and decks for project updates, decision-making, and leadership visibility (including some L+2 exposure)
  • Governance and standards: Help maintain taxonomy, event mappings, and best practices that ensure data quality and compliance, and onboard quickly to new domains as needs evolve
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits (details at link)
  • Fulltime
Read More
Arrow Right

Senior Product Manager- Analytics & AI

As a Product Leader (Data & AI), you will bridge the gap between abstract data s...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
teg.com.au Logo
Ticketek Entertainment Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years experience driven product success in fields of Data Science, Advanced Analytics or AI
  • Proven track record of delivering high-impact analytics and AI products that generate clear commercial ROI
  • Ability to provide strategic direction to internal teams and external clients, translating complex data capabilities into actionable business features
  • Strong command of product management frameworks (Agile, MoSCoW, RACI) and a disciplined approach to governance and delivery
  • Strong understanding of the data and AI platform ecosystem, including data platforms, adtech, martech, and CRM systems
  • Solid understanding of data science, artificial intelligence, and machine learning engineering concepts
  • Demonstrated experience working effectively in environments that fuse product, technology, data, and design practices
  • Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, engaging narratives for executive stakeholders
Job Responsibility
Job Responsibility
  • Bridge the gap between abstract data strategy and commercial impact by owning the roadmap for scalable analytics products across TEG
  • Drive fan engagement and revenue uplift through reusable, high-value solutions
  • Spearhead the delivery of internal and client-facing platforms
  • Partner with stakeholders to define feature sets
  • Socialize roadmaps with leadership
  • Embed a product-led mindset that turns data into tangible business value
  • Embed a product-led mindset for data and analytics across both internal TEG team and external promoters and venues
  • Own the analytics and AI product roadmap
  • Lead end-to-end design, prioritisation, and delivery
  • Partner with internal teams and external clients to define tiered product roadmaps
What we offer
What we offer
  • Complimentary event tickets
  • Birthday and volunteering leave
  • Wellbeing discounts & flu vaccinations
  • Paid parental leave & free employee support (EAP)
  • Global rewards and recognition
  • Learning, development & career pathways
  • A diverse, inclusive, and passionate team
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy