AI Jobs

Benefits:

• Real impact on client strategies

• Diverse project portfolio

• Growth paths into consulting or AI engineering

• Flexible working hours

• High-end equipment

Experience Requirements:

• Minimum of 4 years of experience in Data Science

• Proficiency in classical and non-linear ML techniques

• Fluent Python programming (NumPy, pandas, scikit-learn)

• Ability to manage and analyze data using SQL

• Ability to translate data into actionable business insights

Other Requirements:

• Strong communication skills

• Ability to explain complex concepts simply

Responsibilities:

• Data exploration and cleaning

• Predictive modeling and time-series analysis

• Generating business insights directly supporting decisions

• Creating data visualizations and dashboards

• Collaborating with AI engineers and product teams

Benefits:

• Impactful projects using cutting-edge AI/ML technologies

• Access to state-of-the-art technical expertise

• Collaborative and stimulating environment

• Flexible working hours and location

• Growth story involvement with global reach

Experience Requirements:

• 6+ years in software engineering

• 3+ years in a leadership or management role

• Proven experience leading AI/ML engineering teams

• Solid understanding of AI/ML technologies and business application

• Demonstrated leadership and team-building skills

Other Requirements:

• Confident in client-facing settings

• Excellent English communication skills (C1 level)

• Genuine interest in AI/ML

Responsibilities:

• Lead AI engineering teams and ensure effective use of AI/ML

• Oversee project delivery with high standards of quality

• Build and maintain strong client relationships

• Support developing partnerships with AI technology providers

• Foster a culture of growth and continuous learning

Education Requirements:

• BSc or higher in Computer Science, Engineering, Mathematics, or another quantitative field

Experience Requirements:

• 8+ years of hands-on experience working with large-scale data systems in production environments

Other Requirements:

• Strong expertise in Python and SQL with experience building and optimizing batch and streaming pipelines

• Experience with AWS cloud services and Linux-based environments

• Mandatory hands-on experience with Apache Spark in production environments

• Mandatory experience running Spark on Kubernetes

• Mandatory hands-on experience with Apache Kafka, including Kafka connectors

Responsibilities:

• Lead the design, development, and ownership of scalable data pipelines (ETL/ELT)

• Collaborate closely with Product, Data Science, and full-stack/platform teams

• Build and optimize data workflows using Databricks, Spark (PySpark, SQL), and Kafka

• Implement and manage data architectures supporting real-time and batch processing

• Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources

Benefits:

• Offers Equity

• Comprehensive medical, dental, and vision coverage

• 16 weeks fully-paid parental leave

• Health & wellness stipend

• Matching 401(k) contribution

Experience Requirements:

• At least six years of experience working with data

• Two years of experience in Software Engineering

• Experience with common analytics tooling (e.g. Snowflake, dbt)

• Led an implementation of Debezium or another CDC system

• Knowledge of AWS data infra systems and Terraform

Other Requirements:

• Open to using AI responsibly

• Passion for enabling the developer experience of data

• System-oriented and software engineering mindset

Responsibilities:

• Design and implement complex data models

• Design and deploy data infrastructure

• Expert on data administration and master data management

• Technical thought leader on scalable data systems

• Develop front end applications for analytical data sets

Responsibilities:

• Data & Insights / Streaming

• Machine Learning infrastructure

Responsibilities:

• Gen AI implementation for FP&A platform

Benefits:

• High-growth, team-centric environment

• Innovation thrives and collaboration fuels success

• Unparalleled opportunities to work cross-functionally

• Drive meaningful impact in digital commerce

Education Requirements:

• Bachelor's degree in statistics, computer science or related field

Experience Requirements:

• Minimum 3-5 years of experience in business analytics or business intelligence

• Experience working on data warehouse deployments, data management and reporting

• Previous experience in DBT or other data transformation framework is a plus

Other Requirements:

• Fluent in English

• Advanced knowledge of SQL

• Preferred knowledge of Sigma, Looker, or Tableau

• Start-up mentality; able to flex and adapt quickly

Responsibilities:

• Partner with business stakeholders to build and analyze data

• Build and maintain dashboards and visualization software

• Perform assessments and statistical analyses

• Strategize and develop new trend and opportunity reports

• Support ongoing tracking and monitoring of key performance indicators

Experience Requirements:

• 10+ years of software engineering experience

• At least 4 years leading or managing engineering teams

• Startup experience building and scaling systems

• Deep expertise in Python and cloud-native architectures

• Strong experience with GCP, Kubernetes, and infrastructure-as-code (Terraform)

Other Requirements:

• A passion for cutting-edge AI and agents

• Hands-on experience with enterprise AI/LLM platforms

• Proven ability to balance technical depth with people leadership

• A bias for action and comfort with ambiguity

Responsibilities:

• Lead and grow a small but mighty engineering team

• Stay hands-on: architect, code, and review alongside the team

• Own GCP/Kubernetes infrastructure and scalability

• Drive technical strategy for the AI platform

• Partner with the CEO and sales leadership to ship features

Benefits:

• Equity

• Bonus

• Equitable and transparent pay

• Competitive tech sector salary

• Business impact pay model

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• Proven track record of shipping LLM-powered products

• Experience with human-in-the-loop or guided prompting features

• Leadership experience in building high-quality production-level code

• Proficiency in Typescript, React, Nodejs, Python, and Django

• Experience managing engineering teams

Other Requirements:

• Excellent communication skills

• Ability to balance architecture with pragmatism

• Experience in rapid prototyping and experimentation

• User-first mindset for AI adoption barriers

• Ability to collaborate across disciplines

Responsibilities:

• Lead and develop a team of 4-6 engineers

• Evaluate and advocate for architectural decisions

• Collaborate with Product and Design on AI features

• Champion engineering process improvements

• Foster a culture of experimentation and rapid learning

Benefits:

• Equity

• Bonus

• Simple and transparent practices

• Impact-based rewards

• Total rewards program

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 3+ years managing teams focused on personalization, experimentation, or growth platforms

• Deep technical expertise in modern web technologies

• Hands-on experience with TypeScript, Python, Node.js, GraphQL, and Next.js

• Experience with recommendation engines and A/B testing platforms

• Experience shipping production code and contributing to architecture

Other Requirements:

• Strong collaboration skills with Engineering, Data, and Product

• Experience leading through system migrations or organizational shifts

• Excellent written and verbal communication skills

• Ability to mentor and coach engineering teams

• Data-driven mindset for user activation and retention

Responsibilities:

• Define technical strategy for the Personalization Platform

• Lead technical execution of personalization infrastructure

• Develop self-service tools for A/B testing

• Partner with Data org to implement recommendation engines

• Recruit, onboard, and train new engineers

Benefits:

• Equity

• Bonus

• Competitive pay

• Equitable practices

• Transparent compensation

Education Requirements:

• Education is not a requirement for our roles

Experience Requirements:

• 4+ years of experience building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments

• Strong software engineering foundation for Product Data Engineering roles

• Experience with Governance, Privacy, and Security for Data Platforms roles

• Highly skilled in Databricks, Spark, or similar distributed processing platforms

• Proficient in Python and/or Typescript, and strong in SQL

Other Requirements:

• Commitment to data quality and observability

• Excellent written communication skills

• Ability to balance pragmatism with action

• Knowledge of performance tuning and maintenance across modern data platforms

Responsibilities:

• Build and Scale Data Services and APIs

• Collaborate on Data Architecture and Models

• Contribute to Standards, Quality, and Governance

• Performance Tuning, Maintenance and Optimization

• Develop Reusable Engineering Patterns

Benefits:

• Generous base salary

• Meaningful equity package

• Retirement 401k

• Healthcare

• Wellness stipend

Experience Requirements:

• 2-5+ years of engineering management experience

• 7+ years experience in engineering of relevant software development

• Excellent communication skills

• Flexible in leadership style

• Data-Driven Mindset and Analytics Skills

Other Requirements:

• Relentlessly Resourceful

• Remote-Ready

• Fluent in English

Responsibilities:

• Strategic Leadership

• Team Collaboration and Support

• Technical Oversight and Innovation

• Product influence

• Operational Excellence

Benefits:

• Fully remote position

• Flexible working hours

• Serious impact at web scale

• Modern development and deployment workflows

• High product influence

Experience Requirements:

• 8+ years in software engineering (product focus)

• 2+ years of leading or managing engineering teams

• Extensive experience with JavaScript, TypeScript, React

• Extensive experience with Python

• Leadership skills in geo-distributed organizations

Other Requirements:

• Experience with Canvas, WebGL, and WebWorkers

• Familiarity with Rust, Go, or C++

• Knowledge of Kubernetes and Docker

Responsibilities:

• Manage, grow, and support a team of engineers

• Execute solutions for fraud detection and mitigation

• Mentor and guide engineers in skill growth

• Participate in code and architecture design

• Maintain high-quality standards via peer reviews

Benefits:

• Equity

• Low deductible health plans

• Flexible time away

• Family leave programs

Education Requirements:

• Bachelor's degree or higher in Computer Science/Engineering

Experience Requirements:

• 7+ years of relevant industry experience

• Proficiency in Python, Java, or Go

• Understanding of distributed systems and microservices

• Familiarity with relational and non-relational databases

Other Requirements:

• Must be authorized to work for ANY employer in the U.S.

• Unable to sponsor or take over sponsorship of an employment Visa

Responsibilities:

• Design and develop scalable backend services and APIs

• Take ownership of critical system components

• Optimize data processing pipelines and storage solutions

• Integrate third-party services and data sources

• Monitor and resolve infrastructure issues

Experience Requirements:

• Deep Payment Systems Expertise

• PCI DSS Compliance Experience

• AWS Cloud Expertise

• Distributed Systems Architecture

• Engineering Leadership (3-5+ years)

Other Requirements:

• Must have full authorization to work in country of residence being in Europe or in South America.

Responsibilities:

• Design ThrivePay's distributed microservices architecture

• Make hands-on technology decisions

• Establish CI/CD pipelines and automated quality standards

• Build and lead 3 high-performing engineering teams

• Execute on roadmap and deliver incrementally

Benefits:

• A competitive salary

• Meaningful stake in the company’s growth and success (equity share options)

• ~35 days of paid holiday per year

• Significantly enhanced parental leave

• Level 6 (highest level) dental insurance

Experience Requirements:

• Hands-on experience working on data modelling and analytics engineering using the dbt ecosystem

• Experience owning a data roadmap and delivering meaningful outcomes

• Strong product analytics capability

• Experience designing or leading statistical tests or experiments

• Practical experience implementing data governance

Other Requirements:

• Entrepreneurial mindset and can-do attitude

• AI-fluent and excited to automate/re-engineer workflows

• Strong ability to interact cross-functionally

Responsibilities:

• Own the Data roadmap and deliver quarterly plans

• Strengthen use of measurement in product processes

• Level up the metric system and decision-making across the company

• Lead the next ‘Measuring Learning’ impact evaluation

• Own responsible AI for learner data and data privacy assurance

Experience Requirements:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Other Requirements:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Responsibilities:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

Experience Requirements:

• Senior level experience

• History of conducting quantitative analyses

• Solid SQL skills or expert in R or Python

Other Requirements:

• Good communication skills

• Able to present complex analysis results to both technical and non-technical audiences

Responsibilities:

• Shape the data analytics strategy, insights, and analytics infrastructure

• Own, drive and deliver multiple business intelligence (BI) work-streams

• Determine KPIs that best reflect the business objectives

• Design A/B test experiments, analyze and interpret the results

• Automate reports and build dashboards

Benefits:

• Health, Dental & Vision Plans

• Life Insurance

• 401k Matching

• Team Member Stock Purchasing Program (TMSPP)

• Unlimited PTO

Experience Requirements:

• 6+ years of experience working with data infrastructure, data engineering, or platform engineering

• 4+ years of production experience with modern data stacks

• 2+ years of experience building and maintaining production data pipelines

• Experience re-architecting, migrating, or upgrading data tooling with strict SLAs

• Experience evolving scrappy systems into production-grade platforms

Other Requirements:

• Highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform)

• Comfortable working with bash/shell scripting

• Experience with data warehouses like BigQuery, Snowflake, or Redshift

• Experience with ELT tools, custom applications, streaming systems, or event-driven architectures

Responsibilities:

• Be an end-to-end owner of our data platform infrastructure

• Make collaborative decisions about data tooling, pipeline design, and governance

• Continuously improve failure rates for data sources by moving alerting to the left

• Analyze patterns in how source data is generated, modeled, and consumed

• Document runbooks, architecture decision records, and system documentation

Benefits:

• Offers Equity

Experience Requirements:

• 5+ years of experience writing high-quality production code

• 2+ years of on-call experience for critical production services

• Strong cloud skills (AWS preferred)

• Familiarity with auto scaling, fleet management, and capacity planning at scale

Other Requirements:

• Experience with Kubernetes clusters to thousands of nodes is a plus

• Experience with systems safety research or control theory is a plus

• Ability to work in-person

Responsibilities:

• Identify architectural changes to improve reliability, performance and availability

• Foster a culture of reliability across engineering organization

• Design and implement key operational processes

• Participate in on-call rotation

• Build monitoring systems