Benefits:

• Generous compensation in cash and equity

• Early exercise for all options

• Health insurance coverage

• Home office stipend

• Annual Learning stipend

Experience Requirements:

• 5+ years of experience in data engineering, analytics engineering, or BI

Other Requirements:

• Ability to manage data integrations (Salesforce, Hubspot, BigQuery)

• Experience with Python for automation

• Exceptional SQL skills

• Experience with modern data stack (dbt, Fivetran, Airflow)

Responsibilities:

• Build and own internal data infrastructure

• Design and implement ETL/ELT pipelines

• Partner with stakeholders to define and track KPIs

• Champion data quality and governance

• Develop dashboards for executive leadership

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• Good understanding of Python and SQL

• Experience with data-wrangling libraries such as Pandas or Polars

• Experience with cloud computing platforms (Azure/GCP/AWS)

• Experience with containerization technologies (Docker/Kubernetes)

• Experience with ETL and Big Data elements (Spark, Kafka, etc.)

Other Requirements:

• Interest in the AI/ML area

• Ability to work both in a team and independently

• Proactive approach to problem-solving

Responsibilities:

• Designing, developing, and maintaining data pipelines (ETL/ ELTs)

• Working with a variety of data sources

• Ensuring the stability and performance of data pipelines

• Collaborating with Data Scientists, Software Engineers, and other specialists

• Analyzing new potential data sources and integrating them into existing pipelines

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• Good knowledge of Python and SQL

• Experience with cloud computing platforms (Azure/GCP/AWS)

• Experience with containerization technologies (Docker/Kubernetes)

• Experience with ETL and Big Data elements (Spark, Kafka, etc.)

• Experience with data-wrangling libraries such as Pandas or Polars

Other Requirements:

• Interest in the AI/ML area

• Proactive approach to problem-solving

• Basic experience in DevOps

Responsibilities:

• Designing, developing, and maintaining data pipelines (ETL/ ELTs)

• Working with a variety of data sources

• Ensuring the stability and performance of data pipelines

• Collaborating with Data Scientists, Software Engineers, and other specialists

• Analyzing new potential data sources and integrating them to existing pipelines

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• 4–5+ years of experience in ML engineering in production environments

• Expertise with Large Language Models (LLMs) and Generative AI

• Familiarity with frameworks for building LLM pipelines (LangChain, LlamaIndex, RAG)

• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)

• Experience with cloud platforms (AWS, GCP, Azure) and vector databases

Other Requirements:

• Strong communication and collaboration skills

• Knowledge of MLOps (CI/CD for models, logging, observability)

Responsibilities:

• Building ML/LLM pipelines, integrating, and optimizing models

• Designing and implementing end-to-end ML/LLM pipelines

• Adapting and optimizing models for production (quantization, LoRA, prompting)

• Inference optimization (latency, cost, scalability)

• Deploying and monitoring models in production

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• 5+ years of experience in software engineering with proficiency in Python

• Understanding of microservices and event-driven architectures

• Experience with cloud platforms (AWS, Azure, GCP) and containerization

• Experience with SQL and NoSQL databases and data pipeline integration

• Passion for building AI-driven applications and integrating LLMs

Other Requirements:

• Follows best engineering practices (CI/CD, automated testing)

• Strong communication and collaboration skills

Responsibilities:

• Designing and building scalable microservices-based systems

• Integrating AI models into production systems

• Optimizing systems for scalability, latency, and inference costs

• Bridging traditional systems with GenAI/LLMs

• Collaborating with ML Engineers and Data Scientists

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

Benefits:

• Learn from top-tier AI and ML engineers

• Potential for long-term cooperation after program

• Global project impact

• Health & Fitness benefits

• Integration budget

Education Requirements:

• Academic Background

Experience Requirements:

• Foundational Knowledge of machine learning

• Technical Skills in AI/ML domain

Other Requirements:

• Motivation to contribute to impactful projects

• Achievement in IT domain

Responsibilities:

• Planning, developing, and implementing machine learning solutions

• Contributing to applied AI solutions and real-world challenges

• Learning customer relationship management

• Participating in AI projects alongside experts

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:

• Healthcare benefits covered at 100% for employees

• Generous parental leave policy

• Mental health support through Talkspace

• Financial wellness support through Northstar

• Stipends for co-working, professional development, wifi, and home office

Experience Requirements:

• 10+ years of experience as a software engineer

• Building large-scale distributed backend systems

• Proficiency in Go

• Experience designing systems leveraging AWS, Kafka, GraphQL, Kubernetes, and Datadog

• Experience operating at Medium’s product/user scale

Other Requirements:

• Proven track record in building and shipping distributed systems

• Ability to mentor and teach others (multiplier effect)

• Must be based in the US

• Ability to attend in-person offsites twice a year

• Experience modernizing legacy code bases

Responsibilities:

• Own the architecture for large-scale, complex product projects

• Own the implementation of critical features and systems

• Work with leadership to evolve existing features and innovate

• Lead efforts to improve engineering standards, tools, and processes

• Mentor and develop other engineers on the team

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Master’s degree is a plus

Experience Requirements:

• 4+ years of hands-on experience in Software Engineering

• Backend or platform focus

• Hands-on experience with GCP is preferred

• Proficiency with any major cloud platform (AWS, Azure)

• Track record leading technical projects

Other Requirements:

• Bay Area candidates preferred

• Occasional travel as needed

• Excellent communication and collaboration skills

• Strength in statistical and analytical thinking

Responsibilities:

• Design, implement, and maintain cloud infrastructure

• Automate infrastructure management using Infrastructure as Code (IaC)

• Build and maintain CI/CD pipelines

• Containerize applications for scalability

• Monitor platform health and set up observability tools

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Master’s degree is a plus

Experience Requirements:

• 4+ years of hands-on experience in Software Engineering

• Product development focus

• Strong experience with React, TypeScript, and JavaScript

• Full stack development experience

• Proven track record of successful delivery of product features

Other Requirements:

• Bay Area candidates preferred

• Occasional travel as needed

• Excellent communication and collaboration skills

• Solid product and analytical thinking

Responsibilities:

• Design, develop, and maintain features across the full stack

• Collaborate with product managers and designers

• Troubleshoot and resolve technical challenges

• Provide mentorship to junior engineers

• Contribute to technical decisions and best practices

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Master’s degree is a plus

Experience Requirements:

• 2+ years of hands-on experience in Software Engineering

• Product development focus

• Hands-on experience with React, TypeScript, and JavaScript

• Full stack development experience

• Experience contributing to development of product features

Other Requirements:

• Bay Area candidates preferred

• Occasional travel as needed

• Effective communication and collaboration skills

Responsibilities:

• Develop and maintain core product features

• Collaborate with senior engineers and product teams

• Write clean, maintainable code

• Troubleshoot and resolve issues and fix bugs

• Participate in code reviews

Benefits:

• Flexible vacation policy

• Fully remote work policy

• 100% Medical/Dental/Vision insurance covered for employee

• Comprehensive 401K program

• Competitive Equity

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Master’s degree is a plus

Experience Requirements:

• 7+ years of hands-on experience in Software Engineering

• Backend or platform focus

• Strong hands-on experience with GCP preferred

• Proficiency with major cloud platforms (AWS, Azure)

• Track record of driving complex technical initiatives

Other Requirements:

• Bay Area candidates preferred

• Ability to take on role of a thought leader

• Strong analytical skills

• Occasional travel as needed

Responsibilities:

• Take full ownership of cloud infrastructure architecture

• Lead design and implementation of Infrastructure as Code (IaC)

• Own the strategy for CI/CD pipelines

• Lead incident response and disaster recovery strategies

• Mentor and lead engineering teams

Benefits:

• Flexible Time-Off & Remote Work

• 100% employer-paid Medical, Dental, and Vision coverage

• Comprehensive 401(k) program

• Equity Compensation

• Parental Leave

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Master’s degree is a plus

Experience Requirements:

• 7+ years of hands-on experience in Software Engineering

• Product development focus

• Strong experience with React, TypeScript, and JavaScript

• Full stack development experience

• Track record of delivering high impact product features

Other Requirements:

• Bay Area candidates preferred

• Thought leader capabilities

• Strong product and analytical thinking

• Occasional travel as needed

Responsibilities:

• Lead design and development of high-impact features

• Provide technical leadership within the team

• Mentor and guide senior and junior engineers

• Collaborate with cross-functional teams

• Own complex technical challenges and performance optimization

Benefits:

• Maternity/Paternity Leave

• PTO/Vacation policy

• Equity or Stock Options

• Company Social Outings

• Pet friendly

Other Requirements:

• Javascript

• Html

• Css

• Node.Js

• React

• Python

• Sql

• Nosql

• Git

• Restful Apis

Responsibilities:

• Writing code

• Testing

• Debugging

• Implementing solutions

• Providing technical support across the full technology stack

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

Benefits:

• Offers Equity

• Medical, dental, and vision coverage

• 16 weeks fully-paid parental leave

• Health & wellness stipend

• Matching 401(k) contribution

Experience Requirements:

• Deep industry experience in platform engineering or infrastructure

• Proven ability to lead complex technical initiatives

• Mastery in system design and cloud infrastructure (AWS)

• Experience with containerized deployments (ECS, Fargate)

• Strong foundation in TypeScript and Node.js

Other Requirements:

• Experience with MongoDB preferred

• Ability to influence technical decisions across the organization

• Experience with event-driven architecture and GraphQL

Responsibilities:

• Lead strategic technical initiatives for foundational systems

• Design and evolve internal platforms and paved roads

• Drive multi-quarter platform projects to improve reliability

• Build platform capabilities for enterprise and regulated environments

• Partner with leadership to translate developer needs into solutions

Benefits:

• Offers Equity

• Medical, dental, and vision coverage

• 16 weeks fully-paid parental leave

• Health & wellness stipend

• Matching 401(k) contribution

Experience Requirements:

• At least 5 years of industry experience

• Played technical leadership roles for teams or complex projects

• Previous startup experience

• Experience working on greenfield projects

Other Requirements:

• Bias for action

• Interest in learning about security

• Knowledge of TypeScript, React, and Node.js

Responsibilities:

• Lead complex projects with multiple stakeholders

• Set direction for critical technical surface areas

• Design, develop, and own new product functionality

• Mentor the engineering team

• Contribute to building engineering culture

Benefits:

• Offers Equity

• Medical, dental, and vision coverage

• 16 weeks fully-paid parental leave

• Health & wellness stipend

• Matching 401(k) contribution

Experience Requirements:

• At least 8 years of industry experience with backend development

• Experience with event-driven architecture and distributed systems

• Background integrating with external APIs and services

• Experience building platform services

• Strong data modeling skills

Other Requirements:

• Knowledge of billing systems or subscription management

• Open to using AI responsibly

• Ability to collaborate with Finance and Sales partners

Responsibilities:

• Lead complex projects with multiple stakeholders

• Provide technical direction for key monetization initiatives

• Collaborate with GTM and Finance teams

• Support design reviews and trade-off decisions

• Drive initiatives to increase operational posture

Benefits:

• Work alongside core team on high-impact products

• Remote-first setup with flexible hours

• Competitive compensation with performance-based upside

• Fast-moving environment with direct collaboration

• Support to do your best work and clear room to grow

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or Information Security

Experience Requirements:

• 10+ years of experience in information security

• 5+ years in a Security Architect role

• Proven expertise in security architecture design for cloud, blockchain, and AI

• Strong knowledge of cloud security (AWS, Azure, or GCP)

• Deep understanding of blockchain security principles

Other Requirements:

• Certifications such as CISSP, CISM, CKA/CKS, or Cloud Security Specialty

• Strategic thinker with ability to anticipate threats

• Strong leadership skills with ability to mentor engineering teams

• Hands-on mindset with ability to design, implement, and validate security controls

Responsibilities:

• Architect and implement security frameworks across platforms

• Define and own the security roadmap aligned with business objectives

• Establish identity and access management (IAM) strategies

• Design and oversee cloud (AWS) security architecture

• Lead the creation of incident response playbooks and monitoring dashboards