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You'll join a high-performing team responsible for fetching, manipulating, and displaying data to end-users. We pride ourselves on delivering a fast, smooth, and informative UI. Our work involves handling huge data sets and collaborating with a broader cohort of developers, product managers, QA engineers, data analysts, operations, and architects. We utilize a micro-service architecture with a Python backend and a React frontend.

What you'll do

Build and maintain a robust backend infrastructure and micro-services.
Develop and sustain an advanced web application infrastructure.
Architect new components and features.
Write code for both frontend and backend.
Collaborate with multiple development and data analysis teams on cross-company features.
Manage remote production environments (cloud services).
Participate in end-to-end development processes and contribute to horizontal projects within the group.

We are seeking a dynamic and experienced Head of Performance Marketing to lead all aspects of our paid marketing efforts. The ideal candidate will be responsible for driving new user acquisition through strategic planning, execution, and optimization of paid campaigns across various channels.

Key Responsibilities:
Develop and execute comprehensive paid marketing strategies to drive user acquisition and revenue growth.
Manage large paid marketing budgets effectively, optimizing spend across multiple channels to achieve KPIs and ROI targets.
Collaborate with cross-functional teams including product, sales, and success to align marketing efforts with business objectives.
Conduct ongoing analysis and performance tracking to identify opportunities for improvement and drive continuous optimization.
Stay informed about industry trends, emerging technologies, and best practices in performance marketing to maintain a competitive edge.

As the Head of AI, you are tasked with creating the companys AI vision, shaping the strategy and carrying it out to ensure we effectively capitalize on the full potential of our data. You will oversee and manage a talented team of data scientists, ML engineers and data analysts, driving the development and implementation of advanced AI models and data analytics applications. You will be responsible for setting the direction for strategic AI initiatives, ensuring alignment with business objectives, and collaborating with all relevant units. The ideal candidate will have a strong hands-on background in AI and data science, coupled with an applicative ML & AI experience in large scale production environments, as well as a proven track record of people and technology leadership.

Responsibilities:

Lead the AI strategy and drive adoption of strategic AI initiatives.

Build the companys Data & ML roadmap and execute on it.

Manage the team and provide professional guidance.

Work with data engineering to ensure the infrastructure supports the Data strategy.

Work laterally to promote data and AI initiatives across the organization.

Advocate and drive a data-centric approach & mindset in the company.

We tackle the complexities of eCommerce financial data. Our Data team is at the forefront, solving intricate problems like transaction classification and data reconciliation. If you thrive on analytical challenges and want to see your solutions make a real-world difference, this is the place for you.


What you'll do:

Research and develop machine learning projects up to deployment in production.

Model, design and implement solutions that do not have an off-the-shelf solution.

Be responsible and own features - design, implement, monitor, measure, iterate.

Interact with domain experts, developers and data team.

Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems we are facing.

Some about our infra: Airflow, Airbyte, K8S, Superset, Snowflake, PostgreSQL, Athena.

We are seeking a Customer Success Manager to manage strategic relationships with our customers. In this role, you will be responsible for ensuring customer satisfaction and delivering value as a trusted technical and business advisor. Youll work closely with various stakeholders, including AI leadership, data scientists, software developers, and data engineers, guiding them in leveraging platform to achieve their AI/GenAI goals and promoting self-sufficiency.

You will engage with clients at different stages of their AI journeysome highly experienced, others just starting outadapting your approach to fit their unique needs, KPIs, and business goals. Your deep understanding of the AI development lifecycle, combined with the ability to communicate fluently with technical teams, will be key to driving success across diverse industries and use cases. Additionally, you will play a crucial role in customer enablement, delivering personalized training sessions and scalable webinars to ensure clients maximize the value of our platform.

Key Responsibilities:

Client Relationship Management: Build, maintain, and own long-term relationships with enterprise clients by being a good listener, understanding their needs, and ensuring success through all customer lifecycle stages. Guarantee customer satisfaction and consistently deliver measurable value.
Trusted Advisor: Act as both a technical and business consultant to clients, offering strategic guidance throughout their AI/GenAI journey and helping them unlock the platforms full potential.
Tailored Solutions: Recognize that each client is unique. Tailor your approach based on individual business goals, AI/GenAI expertise, and KPIs. Engage closely with personas ranging from experienced data scientists to novice AI managers, driving value for all.
Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to address customer challenges, ensure smooth post-sale implementation, and facilitate continuous success. Provide product feedback to enhance future offerings.
Enablement & Self-sufficiency: Lead training sessions and webinars to empower clients to maximize the platforms capabilities and develop their independence in managing AI/GenAI projects.
Proactive Account Management: Anticipate and address potential risks and opportunities, ensuring high levels of satisfaction and identifying opportunities for growth through renewals and expansions.