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Docker
3+ ansCandidates need 3+ years of security engineering with hands-on offensive testing, 2+ years of Python or Golang development, and experience securing AWS, GCP or Azure. Offensive certifications, AI/ML security knowledge and strong communication skills are expected.
Burp Suite, AWS, GCP, Azure, Kubernetes, Docker
1Password
10+ ans5+ gestionCandidates need 10+ years in product management, including 5+ years leading senior product managers or portfolios. Experience with developer or platform products, AI and security concepts, and strong influence and communication skills are required.
Oracle, Communication skills, Collaboration, Documentation, Leadership, Decision making
1Password
Candidates need experience in sales, account management or customer success, ideally in SaaS, and a record of managing a high-volume pipeline and the full sales cycle. They also need strong communication skills to explain technical topics to non-technical customers.
Salesforce, Gong, Outreach
1Password
7+ ansCandidates need 7+ years of IT and endpoint management experience, including 2+ years at a senior or staff level, with hands-on skills in scripting and infrastructure-as-code. They also need solid knowledge of endpoint security such as encryption, patching, EDR, and compliance frameworks like SOC 2 or ISO 27001.
Terraform, Bash, Python, macOS, Windows, EDR
1Password
8+ ansCandidates need 8+ years of product management experience, including owning strategy and roadmaps for B2B SaaS products. They need technical fluency in integrations, APIs, data pipelines and enterprise architecture, and experience with SaaS management, identity and access management, or cybersecurity products is an asset.
Oracle, Service-oriented modelling, ICT system programming, Prioritization, Communication skills, Identity and access management
1Password
8+ ansCandidates need 8+ years of product management experience on security, identity, endpoint or access-control products in B2B SaaS. They also need strong written and verbal communication, experience with OKRs and success metrics, and the ability to explain complex security topics to technical and non-technical audiences.
Enterprise administration consoles
1Password
7+ ansCandidates need 7+ years in marketing analytics and data strategy in B2B SaaS, deep marketing expertise, and experience with senior executives. They must have advanced SQL, experience with cloud data tools like Snowflake, Databricks and dbt, and familiarity with marketing platforms such as Salesforce, Marketo and GA4.
SQL, Snowflake, Databricks, dbt, Salesforce, Marketo
Univeris
7+ ansCandidates need 7 to 10 years in data architecture or data engineering, expert SQL Server and PostgreSQL skills, and strong data modeling. Financial services or wealth management experience and governance program experience are highly desirable.
Microsoft SQL Server, PostgreSQL, Google BigQuery, Dagster, Airbyte, dbt
Cloudbeds
Candidates need senior experience as a data engineer, data architect or tech lead in cloud data environments. Deep Snowflake and dbt skills, advanced SQL and Python, and CI/CD discipline are required, along with clear English communication.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Tetrix
15+ ansCandidates need 15+ years of backend engineering experience using Python, along with technical leadership and experience architecting complex systems. Open source contributions and AI/ML integration experience are assets.
Adaptability, Communication skills, Python, Leadership, Coaching, ML
Innodata Inc.
2+ ansCandidates need about 2 years of prompt engineering, LLM fine-tuning or related AI/ML experience, strong Python skills, and familiarity with LLM APIs, annotation tools and model deployment. Knowledge of localization practices and LLM evaluation metrics is also required.
Labelbox, TensorFlow, PyTorch, Jupyter, OpenAI, Hugging Face
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
5+ ansCandidates need a Master's or PhD in a related field, 5+ years of Python and ML framework experience, and strong machine learning and statistics knowledge. Expert-level English, spoken and written, is required.
Python, PyTorch, TensorFlow
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
7+ ansCandidates need 7+ years in machine learning, data science or applied AI, with production ML systems deployed at scale. Strong Python, PyTorch or TensorFlow, cloud ML experience, and knowledge of LLMs, time-series and anomaly detection are required. An advanced degree is preferred.
PyTorch, TensorFlow, Docker, Kubernetes, Weights & Biases, MLflow
Remarcable, Inc.: With integrations to over 400 suppliers and 25 software systems, Remarcable simplifies purchasing and financial processes, reduces manual work, and…
5+ ansCandidates need 5+ years in data science or analytics, strong SQL and Python, dashboard experience, and dbt knowledge. Production machine learning experience and AWS data or ML skills are a bonus.
AWS S3, Redshift, Athena, Glue, SageMaker, Bedrock
Feathery
Candidates need a computer science background and hands-on application-building experience from projects, internships or co-ops. Strong JavaScript/TypeScript and React skills, familiarity with Node.js or Django, API design and cloud experience are expected.
React, Node.js, Django, AWS, SQS, TypeScript
Feathery
3+ ansCandidates need 3 to 6+ years building full stack applications, strong JavaScript/TypeScript and React skills, backend experience with Node.js or Django, and familiarity with AWS and asynchronous or distributed systems.
React, Node.js, Django, AWS, SQS
Feathery
4+ ansFeathery needs 4 to 7+ years of backend experience, strong skill with frameworks such as Node.js or Django, and solid AWS and distributed-systems knowledge. Candidates also need production API experience and clear communication to work across teams.
AWS, Node.js, Django
No Saint
Candidates need a software or AI background with real shipped backend, ML, identity or platform systems, and the ability to read firmware constraints and model evaluations. They must reason from first principles, measure results, and write clear specs.
JIRA, Trello, Git, Figma
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and experience with orchestration tools and cloud platforms. They also need knowledge of data modelling, vector databases, agentic AI concepts and data governance.
SQL, Python, Airflow, Prefect, Dagster, Azure
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and familiarity with orchestration tools and cloud platforms. Knowledge of data governance, AI safety and guardrails, and vector databases for LLM and RAG pipelines is also expected.
Airflow, Prefect, Dagster, Azure, AWS, Microsoft Fabric
Connor, Clark & Lunn Financial Group Ltd.
8+ ansCandidates need 8+ years designing and operating enterprise compute, storage and infrastructure platforms, with hands-on Kubernetes, virtualization and datacenter experience. Strong communication skills and the ability to lead through expertise rather than authority are also required.
Kubernetes
FirstPrinciples
5+ ansCandidates need 5+ years shipping products as a Product Manager at a technology company, a technical bachelor's degree, and strong planning and communication skills. Familiarity with software development, AI/ML concepts, and data infrastructure is expected.
Product comprehension, Leadership, Research, Communication skills, Documentation, Computer science
14 entreprises