Candidates should have 5-7 years of experience in a product company, with proficiency in React and TypeScript. Experience in realizing architectural solutions and possessing an engineering mindset is essential. Proactivity, critical thinking, and adaptability to a fast-evolving industry are also valued.
Candidates should have 5-7 years of experience in a product company, with strong knowledge of .NET 7 and microservices architecture. Hands-on experience with high-load, real-time applications is required, along with familiarity with RabbitMQ, Kafka, PostgreSQL, and MongoDB. A solid understanding of algorithms and system design is necessary, and knowledge of ClickHouse or other analytical databases will be a plus.
Candidates should have at least 3 years of experience in a Team Lead or Tech Lead role and 5-7 years of experience in an IT company. Strong expertise in .NET and microservices architecture is essential, along with experience in high-load, real-time systems. Familiarity with RabbitMQ or Kafka is also required.
Candidates should possess proven experience working in a DevOps or similar role, proficiency in programming languages such as Python, Golang, Rust, or Java, experience with configuration management tools like Ansible, Puppet, or Chef, a solid understanding of version control systems (Git), and familiarity with infrastructure-as-code tools like Terraform.
Candidates should possess a minimum of 5 years of experience as a Product Owner/Product Manager, along with at least 2 years of experience in a Lead PM/Group PM/CPO role, demonstrating a strong technical understanding of products and the ability to effectively communicate with development teams. Excellent project management skills, including the ability to manage multiple priorities, tight deadlines, and stakeholders, are essential, alongside strong relationship-building abilities and a stakehol…
Candidates should possess strong Java expertise, including experience with JDK 17+/21, concurrency, and performance tuning, along with familiarity with modern Java frameworks such as Spring Boot, Quarkus, or Micronaut. They should also have database mastery encompassing schema design, optimization, and experience with PostgreSQL, MySQL, or MSSQL, as well as a solid understanding of API and protocol technologies like REST, gRPC, and WebSockets. Furthermore, candidates must be proficient in clou…
Candidates should have 2-5 years of experience in the legal cannabis industry, strong knowledge of software systems used by dispensaries, and hands-on experience working in dispensaries, including operating and managing product intake. Experience with CRM systems in a dispensary setting is preferred.
The Machine Learning Engineer should possess at least 2 years of experience as an ML Engineer or Data Scientist, demonstrating strong proficiency in Python and SQL. Practical experience in model training, validation, and deployment is essential, along with familiarity with AWS, particularly SageMaker, and Docker. A solid understanding of the model lifecycle and MLOps principles is beneficial, and comfort with real-world messy data and rapid iteration is highly valued.
Candidates should possess at least 4 years of experience in Machine Learning, including experience with production-level model deployment, and strong proficiency in Python and SQL. Experience with AWS, particularly SageMaker and Docker, is preferred. A proven track record of owning and delivering ML projects end-to-end is essential, along with experience in modern ML workflows such as MLOps and CI/CD for ML.
Candidates should possess at least 5 years of experience in data architecture, analytics engineering, or a senior data role, demonstrating a strong understanding of data modeling principles and best practices. They should have experience managing or mentoring data or analytics engineers, with a focus on delivery and technical growth, and a solid hands-on background in SQL and modern warehouse technologies such as Snowflake, ClickHouse, or BigQuery.
Candidates should have 2+ years of experience in analytics engineering, data engineering, or BI development, with strong SQL skills and hands-on experience with dbt. A solid understanding of data modeling for analytics/reporting, including fact/dimension design, is required, along with experience writing and maintaining data quality tests such as dbt tests or custom SQL assertions. Experience with modern cloud-based data warehouses like Snowflake, ClickHouse, or Redshift is also necessary.
The Data Tech Lead should possess 5+ years of experience in data engineering or platform roles, including at least 2 years in a technical or team lead capacity. Experience with modern data stacks such as ClickHouse, DBT, Dagster, Airbyte, and Debezium is required, along with plans to migrate to Snowflake.
Candidates should have 1-2 years of experience working in the cannabis industry, 1-2 years of experience in a Technical Support environment, experience with documentation and SOPs, experience supporting a complex SaaS product, and experience working closely with a team. A passion for adopting/using new technology and personal accountability are also required.
Candidates should have at least 2 years of experience in product, marketing, or growth analytics, proficiency in SQL, and experience working with BI tools such as Metabase, Looker, Mode, or Tableau. Familiarity with dbt and modern analytics workflows is also preferred.
Candidates should possess 3+ years of experience as a Business Analyst or System Analyst, demonstrating a strong understanding of Business Analysis frameworks and methodologies for eliciting needs and gathering requirements. They should have experience in system design, a basic understanding of architectural limitations, and the ability to describe use cases, changes in user interfaces, logical data models, and database structures. Experience with API design and integrations is a plus, along wit…