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Mistral
5+ YOECandidates need 5 to 10+ years in cloud solutions, technical account management or customer engineering roles, plus hands-on AI/ML workload experience. Mistral also wants working knowledge of cluster orchestration tools such as Slurm and Kubernetes.
Slurm, Kubernetes, PyTorch, JAX, TensorFlow, vLLM
Diligent Corporation
10+ YOECandidates need 10 to 15+ years of cloud engineering experience at Staff level, strong Python skills, AWS infrastructure-as-code experience, and hands-on work with LLMs, RAG and vector search. A Bachelor's, Master's or PhD in a related field is preferred.
AWS, OpenSearch, Elasticsearch, Python, Terraform, AWS CDK
PolicyMe
Candidates need strong full-stack skills in Python, React and PostgreSQL, plus hands-on experience deploying AI or machine learning in production. They also need cloud and observability experience, and a self-directed, collaborative approach.
Python, React, Redux, PostgreSQL, AWS, n8n
Later
8+ YOECandidates need 8 to 15 years of software development experience, including shipping large features and driving architecture decisions. Strong React, TypeScript and Node.js skills are required, along with database, cloud and CI/CD experience.
React, TypeScript, Node.js, Kotlin, MySQL, DynamoDB
Later
7+ YOECandidates need 7 to 10 years of software engineering experience, including leadership, plus strong skills in C# or TypeScript, SQL and NoSQL databases and cloud infrastructure. Expertise in system architecture, DevOps and security is also required.
Docker, Kubernetes, AWS, PostgreSQL, Git
Later
6+ YOECandidates need 6+ years in data, backend or platform engineering, strong Python and SQL skills, and dbt experience. Hands-on cloud experience with GCP and BigQuery, infrastructure as code, CI/CD and orchestration is needed, along with architectural judgment.
BigQuery, dbt, Fivetran, Kubernetes, AWS, GCP
Tenstorrent: Tenstorrent is a next-generation computing company that builds computers for AI.
Candidates need experience leading ASIC or SoC verification through complex chip releases, plus knowledge of AI and machine learning hardware. They should be hands-on with UVM, SystemVerilog and cocotb, and able to plan tests that work from simulation to FPGA to silicon.
UVM, SystemVerilog, cocotb, FPGA
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD or postdoctoral research experience in machine learning, computer science or a related field, or senior industry experience in ML. Strong Python skills and experience with PyTorch or TensorFlow are required, and AWS, Docker and LangChain are a plus.
PyTorch, TensorFlow, Python, AWS, Docker, LangChain
Docker
3+ YOECandidates 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+ YOE5+ MgmtCandidates 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
2+ YOECandidates need 2+ years of SaaS sales experience, ideally in identity, security or privileged access management with SMB or mid-market accounts, and a record of meeting quotas. Strong solution selling, negotiation, forecasting and the ability to explain cybersecurity and identity concepts to non-technical buyers are required.
Salesforce, Slack, Zoom, LinkedIn Sales Navigator, Outreach
1Password
7+ YOE1Password asks for 7+ years in B2B technical sales, a proven record selling to Fortune 100 customers and in multi-product SaaS, and experience with MEDDPICC. Candidates also need strong presentation skills and familiarity with SaaS, security and developer technologies such as SAML/SSO, SCIM, API and AD.
SCIM, SAML, SSO, OAuth, API, SSH
1Password
7+ YOECandidates 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
6+ YOECandidates need 6+ years in a customer-facing technical role in a SaaS or security B2B setting, strong technical communication and demo skills, and knowledge of SOC 2, ISO 27001, GDPR, SAML/OIDC and SCIM. Experience with cloud infrastructure, Docker, Kubernetes, scripting and DevOps is expected.
Docker, Kubernetes, 1Password, SaaS Manager, Device Trust, MDM
1Password
8+ YOECandidates 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+ YOECandidates 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+ YOECandidates 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
Innodata Inc.
2+ YOECandidates 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.
7+ YOECandidates 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
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+ YOECandidates 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+ YOEFeathery 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
14 companies