Benefits:

• Base pay $175,000 - $250,000

• Stock options

• 100% medical, dental & vision coverage

• Flexible PTO

• $1,200 Home Office & Equipment Stipend

Experience Requirements:

• 2+ years managing a team of high performance software engineers

• 6+ years as a software engineer building and shipping products used by millions of users

• Strong experience with Linux systems internals and/or cloud systems engineering

Other Requirements:

• Comfortable with Go, Python, and/or TypeScript

• Solid understanding of microservices, APIs, eventing, and data stores

• Successful completion of a background check

Responsibilities:

• Own Feature Delivery for a Product Area

• Plan and Execute Roadmaps

• Technical Leadership & Architecture

• Build and Grow a Strong Team

• Quality & Reliability for Product Surfaces

Benefits:

• Buddy support

• Individual Onboarding Roadmap

• Remote-first work

• Coworking space access

• Poland office access (Warsaw/Szczecin)

Other Requirements:

• GitHub/Bitbucket or portfolio link required

• Ownership mindset

• Ability to adapt to changes

• Data-driven approach

• Authorized to work in EU member or candidate countries

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 7+ years of software engineering experience

• 3+ years managing a mobile engineering team

Other Requirements:

• Excel at both writing production code and leading engineering teams

• Thrive in ambiguous, fast-paced environments

• Applicants must be eligible to work in the US

Responsibilities:

• Manage, develop, and grow a team of mobile engineers and team leads

• Interviewing, hiring, performance management, career development, and fostering team culture

• Partner with other product and engineering leaders to facilitate cross-team alignment

• Ensure high code quality, robust testing, and scalable architecture

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6+ years experience in data science or machine learning roles with direct experience on recommendation systems

Other Requirements:

• Strong technical skills in Python, SQL, and statistical modeling

• A self-starter mentality with the ability to thrive in ambiguity

• Applicants must be eligible to work in the US.

Responsibilities:

• Define content strategy: Partner with product and growth leaders to establish initial content discovery strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Education Requirements:

• Bachelor's degree or equivalent required

Experience Requirements:

• 5+ years of experience in data engineering

Other Requirements:

• Strong grasp of Big Data engineering concepts, data architecture design, and performance optimization.

• Experience with SQL and Python.

• Familiarity with Airflow, DBT, and Snowflake is a strong advantage.

• Applicants must be eligible to work in the US.

Responsibilities:

• Serve as a critical contributor to the Suno products team, providing insights and solutions that influence high-level decisions.

• Design, develop, and maintain complex data products, systems, platforms, and pipelines.

• Collaborate with scientists, ML engineers, software developers, and product teams to define data requirements.

• Leverage advanced analytics and data engineering practices to uncover actionable customer insights.

• Implement and monitor data systems to ensure high availability, reliability, and scalability.

Benefits:

• Unlimited vacation

• Remote or on-site flexibility

• 2-3 meeting-less days per week

• ESOP (0.5-2% company share)

• Flexible hours

Experience Requirements:

• Senior engineering experience

• Knowledge of Typescript/React and Kotlin/Spring Boot

• Familiarity with build systems and package managers

• Knowledge of DevOps workflows (CI/CD, Docker)

• Experience coordinating in-house engineers and freelancers

Other Requirements:

• Excellent written & verbal communication skills in English

• Ability to translate product vision into technical roadmaps

• EU time zones preferred

Responsibilities:

• Defining the integration roadmap

• Building & maintaining integrations (SDKs/plugins)

• Managing resources (internal and external contributors)

• Ensuring architectural alignment with core backend

• Creating clear specs & documentation

Benefits:

• Freedom to make an impact

• Culture of personal growth

• Autonomy and flexibility

• Remote work

• Collaborative team environment

Experience Requirements:

• Minimum of 2 years experience leading and mentoring an engineering team

• 5+ years of experience in software engineering

• Proven track record of delivering projects on time and within budget

Other Requirements:

• Strong leadership and management skills

• Thrives in a fast-paced startup environment

• Effective communication of complex technical concepts

• Embraces culture of continuous learning

Responsibilities:

• Lead and mentor a growing engineering team

• Define technical roadmaps and set priorities

• Collaborate with cross-functional teams

• Identify and implement best practices for code quality

• Attract, recruit, and retain top engineering talent

Benefits:

• Competitive salary

• Commission

• Equity

• 25 days annual leave

• Public holidays

Education Requirements:

• Strong technical background in computer science or a related field

Experience Requirements:

• 5+ years of experience in software engineering

• 2+ years of experience leading a team of engineers

• Experience building and scaling complex software systems

Other Requirements:

• Excellent communication and collaboration skills

• Experience with machine learning, computer vision, or robotics is a plus

Responsibilities:

• Lead and manage a squad of 4-5 engineers

• Define the product roadmap

• Drive speedy delivery of high quality features

• Foster a culture of innovation

• Recruit, interview, hire, and onboard engineers

Benefits:

• Offers Bonus

Experience Requirements:

• Experience managing engineering teams, ideally in high-growth environments

• Strong background in fullstack development

• Hands-on experience in AI-driven application development

• Experience working with SQL and RDBMS (PostgreSQL preferred)

Other Requirements:

• Proactive, outcomes-oriented "driver" mindset

• Strong communication and collaboration skills

Responsibilities:

• Lead and Grow the Teams

• Own the AI Core Mission

• Drive Foundational Systems

• Champion Product-First Thinking

• Collaborate Cross-Functionally

Education Requirements:

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

Experience Requirements:

• 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role

• Strong proficiency in Python and SQL

• Experience working with modern data warehouses (e.g. Redshift, BigQuery, Snowflake)

• Hands-on experience with cloud services (AWS, GCP, or Azure)

• Experience building, deploying, and maintaining data pipelines end-to-end

Other Requirements:

• Solid understanding of data modeling concepts (dimensional modeling, SCDs)

• Strong communication skills and fluency in English

• Product-minded approach to data

• Experience with the AWS data stack (Redshift, Glue, Spectrum)

• Familiarity with Infrastructure as Code (Terraform)

• Experience with data orchestration tools such as Airflow or Prefect

• Experience with dbt or SQLMesh

Responsibilities:

• Design, develop, and maintain scalable data pipelines and data architectures

• Work on data workflows that leverage LLMs in production (classification/analysis)

• Build and maintain the transformation layer (ELT) using SQL models

• Implement best practices to ensure data quality, consistency, and security

• Collaborate closely with product managers, software engineers, and data scientists

Benefits:

• Annual performance bonus

• Equity

• Comprehensive benefits and perks

Experience Requirements:

• 5+ years experience in field engineering or solution architecture

• Experience with cloud data platforms (AWS, Azure, GCP)

• Experience with data governance and product development

• Hands on Experience with Delta Sharing and Unity Catalog preferred

• Industry experience in martech or healthcare preferred

Other Requirements:

• Strong written and verbal communication

• Consultative skills

• Ability to manage technical partner relationships

• Comfort supporting multiple projects

• Strong bias for hands-on execution

Responsibilities:

• Lead technical engagements including onboarding and POC execution

• Design and prototype cross-cloud Delta Sharing architectures

• Build and validate hands-on demos and sample data products

• Troubleshoot complex data-sharing issues

• Co-develop data productization strategies

Benefits:

• Annual performance bonus

• Equity

• Comprehensive benefits and perks

Experience Requirements:

• 5+ years experience in field engineering or solution architecture

• Experience with cloud data platforms (AWS, Azure, GCP)

• Experience with data governance and product development

• Hands on Experience with Delta Sharing and Unity Catalog preferred

• Industry experience in martech or healthcare preferred

Other Requirements:

• Strong written and verbal communication

• Consultative skills

• Ability to manage technical partner relationships

• Comfort supporting multiple projects

• Strong bias for hands-on execution

Responsibilities:

• Lead technical engagements including onboarding and POC execution

• Design and prototype cross-cloud Delta Sharing architectures

• Build and validate hands-on demos and sample data products

• Troubleshoot complex data-sharing issues

• Co-develop data productization strategies

Benefits:

• Comprehensive benefits and perks

Education Requirements:

• Bachelor’s/Master’s in Computer Science or equivalent technical field

Experience Requirements:

• At least 2+ years as a manager of managers

• 12+ years in the IT industry

• Experience leading large teams of 50+ employees

• Hands-on experience in Big Data (Spark, Hadoop, Kafka)

• Experience in ML/AI projects

Other Requirements:

• Fluent in English and Portuguese

• Excellent troubleshooting skills across distributed systems

• Strong ownership mindset

• Proficiency in Java/Scala development

• Knowledge of CI/CD practices

Responsibilities:

• Build and manage a high-performing regional team

• Hire, retain, and develop top technical talent

• Coach and mentor regional support managers

• Partner with Engineering to improve product supportability

• Lead and resolve escalations during LATAM business hours

Benefits:

• Comprehensive benefits and perks

Education Requirements:

• Bachelor’s/Master’s in Computer Science or equivalent technical field

Experience Requirements:

• 6+ years as a manager of managers

• 18+ years in the IT industry

• Experience leading large teams of 100+ employees

• Hands-on experience in Big Data (Spark, Hadoop, Kafka)

• Experience in Machine Learning / AI projects

Other Requirements:

• Strong background in customer-facing support leadership

• Excellent troubleshooting skills across distributed systems

• Strong ownership mindset

• Ability to thrive in a fast-paced environment

• Spark expertise is a big advantage

Responsibilities:

• Lead and grow a regional team of Data & AI technical experts

• Oversee support operations during APJ and EMEA hours

• Ensure 24x7 support coverage through global coordination

• Engage with top customers to understand business needs

• Partner with product engineering to make products better

Experience Requirements:

• Minimum 5 years of hands-on software engineering experience shipping production code

• 5+ years managing engineering teams

• At least 3 years of experience with WebSockets, Canvas/WebGL technologies

Other Requirements:

• Deep technical expertise in Node.js/TypeScript and React

• Understanding of computer graphics and distributed systems

• Familiarity with cloud infrastructure (Azure, AWS, Databricks)

• Hands-on experience with Scrum or Kanban methodologies

• Experience with globally distributed teams

Responsibilities:

• Lead technical execution

• Balance technical vision with delivery

• Build and mentor a world-class team

• Collaborate cross-functionally

• Champion engineering excellence

Experience Requirements:

• 5+ years shipping production code

• 2+ years managing engineering teams of at least 3 ICs

Other Requirements:

• Expertise in fullstack Node.js/TypeScript

• Outcome-oriented and highly experimental interest in AI-driven development practices

• Experience with WebSocket or real-time collaboration systems

• Background in engagement, retention, or growth-oriented product work

• Experience with globally distributed teams and async-first collaboration

Responsibilities:

• Own engagement metrics end-to-end

• Lead technical execution on high-impact features

• Lead and grow a high-performing team

• Partner with Product and Design as equals

• Set and model high expectations for AI adoption

Experience Requirements:

• 5+ years of hands-on software engineering experience shipping production code

• 2+ years managing engineering teams (3+ ICs)

Other Requirements:

• Expertise in Node.js/TypeScript

• Outcome-oriented and highly-experimental interest in AI-driven development practices

• Background in PLG or growth engineering

• Experience with Stripe or similar billing/subscription systems

• Comfort with ambiguity and speed

Responsibilities:

• Own growth engineering end-to-end

• Rebuild onboarding to drive conversion

• Scale experimentation infrastructure

• Build and develop a high-performing team

• Partner across functions

Experience Requirements:

• 5+ years shipping production code

• 2+ years managing a team of at least 3 engineers

• Enterprise security product experience

Other Requirements:

• Experience with DLP, SIEM integrations, access controls, or audit logging

• Expertise in Node.js/TypeScript and React

• Outcome-oriented and experimental with AI

• Experience with compliance frameworks (SOC2, FedRAMP, GDPR)

• Remote-first fluency

Responsibilities:

• Lead technical execution hands-on

• Ship the security roadmap

• Build a team with clear ownership

• Partner deeply with Product

• Maintain enterprise-grade operational excellence

Experience Requirements:

• 6+ years building and deploying consumer-facing ML systems

• 2+ years leading or formally managing data scientists or ML engineers

Other Requirements:

• Strong Python skills

• Experience with Databricks or comparable ML platforms

• Experience with experimentation platforms or causal inference methods

• Background in subscription/SaaS businesses

• Familiarity with TypeScript

Responsibilities:

• Ship production ML systems

• Own outcomes end-to-end

• Build and develop the team

• Partner across the business

• Set technical direction

Benefits:

• Free health, vision, dental insurance

• 401k with match

• Unlimited PTO + 13 company holidays

• Daily Grubhub lunch stipend

• Pre-tax commuter benefits

Education Requirements:

• Bachelor’s or advanced degree in Computer Science, math or equivalent

Experience Requirements:

• 3+ years of experience in data engineering

• 2+ years building ETL pipelines in a major cloud provider

• Highly proficient in python and SQL

• Advanced knowledge of databases, design patterns, OOP, and concurrency

Other Requirements:

• Knowledge of data management fundamentals and storage principles

• Experience with AWS and orchestration platforms

• Strong software engineering fundamentals

Responsibilities:

• Build distributed systems for petabyte-scale data

• Design, implement, and maintain production cloud data pipelines

• Support rigorous scientific process and rapid experimentation