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As a Customer Success Manager , you will play a vital role in fostering exceptional client relationships that drive revenue and growth. You will manage a diverse portfolio of accounts, identify growth opportunities, and ensure client satisfaction by delivering proactive support and innovative solutions.



Key Responsibilities:

Manage a portfolio of accounts (book of business) - own the entire client relationship and ensure the fulfillment of their revenue and satisfaction goals.
Build long-term client relationships across your client portfolio.
Conduct regular performance reviews, health checks, and churn analyses to ensure client retention.
Resolve client inquiries and issues within specified SLAs (48-96 hours based on tier).
Develop strategies to maximize revenue and profitability for assigned accounts.
Collaborate with cross-functional teams to ensure seamless product performance and client satisfaction.
Actively support client engagement at conferences and industry events.
Drive client adoption of unique offerings, including SPO/QPS optimization, bid caching, and advanced analytics.
Maintain internal knowledge bases and contribute to continuous process improvement.

As the Head of eCom Affiliation, you will lead affiliation activity across multiple channels. You will also be responsible for building strategies, setting targets, and achieving business growth goals.

You will oversee the affiliation digital ad spend across multiple platforms, be in charge of all product aspects, content production, and optimization, and manage your team to optimize campaigns and articles and continuously improve performance.

The ideal candidate is passionate about performance marketing, thrives in a fast-paced environment, and has a strong track record of managing and optimizing successful campaigns.



Key Responsibilities:

Lead our E-commerce team across all channels.
Develop and execute comprehensive PPC strategies across multiple paid media platforms, including Google Ads, Facebook, Outbrain, and others.
Manage the daily routine of the PPC analysts and content specialists.
Explore new opportunities and revenue channels.
Utilize a test and learn approach to all paid media activities, focusing on improving KPIs like conversions, CPA, ROAS, and other key performance metrics.
Work closely with the content team on content planning and creative practices, monitor performance, and oversee content creation and optimization.
Analyze and interpret complex data to present detailed performance reports, identify trends, and provide actionable insights to improve ROI.
Stay updated on the latest industry trends, deepening your expertise in advertising methodologies and optimization tools.
Manage relationships with media vendors, negotiate optimal rates, and secure placements for maximum exposure.
Ensure campaigns are aligned with broader marketing goals, contributing to overall business growth.

We're looking for a data-driven content strategist who can create e-commerce content that sells, scales, and learns fast, blending creative intuition, AI tools, and consumer psychology into one powerful growth engine.

What Youll Do

Analyze purchase behavior and ad performance to optimize content strategy
Create high-converting ad creatives and articles based on real-time data, trends, and BI insights
Perform ongoing market analysis to identify emerging trends and prepare for key sale events (e.g., Prime Day, BFCM, etc.)
Hire, train, and manage freelance designers to scale content production.
Constantly initiate new creative practices, formats, and strategies to unlock growth and performance.
Collaborate closely with BI, performance, and media buying teams.

About the Role: We seek a VP of R&D to lead our technology efforts and scale our engineering capabilities. This hands-on leadership role requires deep ad tech expertise, a passion for problem-solving, and the ability to build scalable and efficient R&D teams.

Who is the Right Candidate?



A highly skilled developer who knows how to choose the right tool for the job, rather than focusing on specific languages.
Someone who is not afraid to get their hands dirty, dive deep into the code, and solve complex technical challenges.
An ad tech expert with extensive knowledge of monetization, Prebid, ad servers, and web technologies.
A strong leader who can build and scale an R&D team, ensuring both technical excellence and team growth.
A go-getter who thrives in a fast-paced environment and is driven to make a significant impact.
A problem solver with a strategic mindset, capable of balancing long-term vision with hands-on execution.
Key Responsibilities

Strategic Leadership:

Define and execute the technology vision and roadmap in alignment with business goals.
Collaborate with C-level executives to prioritize and develop impactful R&D initiatives that drive business outcomes.
Team Management:

Lead, mentor, and scale a team of talented engineers, fostering a culture of innovation, accountability, and technical excellence.
Enhance collaboration across engineering, product, and other teams to deliver robust solutions.
Technology and Innovation:

Oversee the design, development, and deployment of scalable ad tech platforms and solutions, with a strong focus on performance optimization and real-time decision-making.
Stay ahead of industry trends and emerging technologies to maintain competitive edge.
Promote best practices in software development, system architecture, and testing to ensure reliability and scalability.
Operational Excellence:

Establish KPIs and metrics to monitor the performance of the R&D team and projects.
Drive initiatives to improve operational efficiency, such as automation and process optimization.

were proud to be at the forefront of the AI revolution. As a Data Analyst on the DataOps team, youll play a key role in ensuring the integrity and reliability of our data systems. Your primary focus will be on data quality assurance auditing datasets, identifying anomalies, validating transformations, and ensuring consistency across our machine learning pipelines. This role is ideal for someone whos passionate about data, detail-oriented, and eager to support high-impact AI solutions. We're looking for a data analyst with strong analytical skills and a commitment to maintaining data quality at scale.
Conduct data audits and validation checks to ensure accuracy, completeness, and consistency across diverse data sources.

Responsibilities
Perform exploratory data analysis to identify anomalies, edge cases, and inconsistencies that could affect model performance.
Automate and monitor data quality by building tools, dashboards, or queries, and by investigating root causes of data issues, proposing improvements, and tracking their resolution.
Evaluate external data sources for usability, schema compliance, and alignment with business goals.
Collaborate across teamsincluding Product Managers, Data Scientists, Engineers, and Labeling Specialiststo understand user needs and ensure the delivery of robust, scalable ML solutions with high-quality data throughout the pipeline.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply best practices for data security, integrity, and performance across all systems.

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

Were building the first modern SOC platform and are looking for an exceptional Full-Stack Engineering Team Lead to lead our Platform teamowning a core business domain and partnering closely with customers and internal stakeholders

Responsibilities
Lead and grow a high-performing full-stack team (React + Node.js) through clear goal-setting, actionable feedback, and individual career plans.
Own end-to-end delivery: define and refine the roadmap, run agile ceremonies, unblock the team, and ship on schedule.
Be hands-on: contribute production code across the stack, drive full-stack design reviews, and own the overall services architecture.
Ship customer-facing features across the stackfrom intuitive React UIs to Node-based servicestranslating complex security signals into clear, actionable workflows.
Maintain reliability: establish SLOs, monitor performance, and drive continuous improvement in CI/CD and on-call practices.
Partner cross-functionally with Product, Design, and SOC analysts to bring AI-assisted alert-investigation capabilities to market.
Foster culture of collaboration, psychological safety, and rapid learning within the team and across engineering.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.