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Evismart
Candidates need production experience with ML platforms (model registries, versioned datasets, monitoring, rollback) and strong information extraction from messy text. They also need proven evaluation rigour, judgment about when rules beat ML, and the ability to align engineers across squads and time zones.
ML, Reporting, Sales, Quality control, Machine learning, Research
Decagon
5+ ansDecagon needs candidates with 5+ years in a technical customer-facing role, strong coding and API integration skills, and fluency in English and Spanish. Experience with LLMs or AI agents, enterprise integrations, and product thinking is an asset.
Engineering principles, Root cause analysis, Documentation, Provide technical expertise, Workflow, Customer relationship management
Decagon
5+ ansCandidates need 5+ years in a technical customer-facing role and solid coding skills with APIs and integrations. Experience shipping production customer solutions and communicating with senior technical stakeholders is required. Experience with LLMs or AI agents is a plus.
CRM systems, Ticketing systems, Data pipelines
Magnet Forensics
Candidates need to show how they have applied Magnet's values of care, ownership, dedication and evolution in past work. Strong examples of relevant skills and experience matter more than meeting every listed qualification.
Magnet Forensics
5+ ansMagnet Forensics needs 5+ years of quality engineering experience with a strong focus on cloud automation. Candidates should have strong programming skills in Python, C# or Java, with good design and testing experience.
Git, Docker, AWS, Terraform, CloudFormation, CDK
Magnet Forensics
6+ ansCandidates need 6+ years of product management experience, at least 3 in B2B SaaS or enterprise platforms, and a record of shipping shared platform capabilities. They need strong technical fluency, proven adoption results, and clear written communication for a regulated, high-trust domain.
Law enforcement, Sales, Data models, Workflow, ML, Onboarding
Magnet Forensics
7+ ansCandidates need 7-10 years of product management experience, ideally in enterprise SaaS or GovTech, with a record of driving adoption, activation and retention. They must be fluent with product analytics, experimentation, continuous discovery, and AI system design tradeoffs, and must work AI-natively in their own workflow.
Jira, Aha, Amplitude
Magnet Forensics
10+ ans5+ gestionCandidates need 10+ years in software or cloud engineering and 5+ years leading technical teams. Deep public cloud experience, preferably AWS, and private cloud and SaaS operations experience are expected, along with cloud security, compliance and cost management skills.
AWS
Magnet Forensics
4+ ansCandidates need 4+ years building automation, integration or AI-enabled solutions, hands-on coding in at least one language, and experience with enterprise business systems. They also need strong process analysis skills and the ability to explain technical work to non-technical colleagues.
Salesforce, NetSuite, Jira Service Management, Microsoft 365, Copilot, Claude
Docebo: Imprint: https://www.docebo.com/company/imprint/
2+ ansCandidates need a bachelor's degree in a technical field or equivalent practical experience, 2-3 years of data engineering or BI experience, strong SQL skills on cloud data platforms, and familiarity with dbt, Airflow, Python and Git.
dbt, Airflow, Cloud Composer, Snowflake, BigQuery, Databricks
Docebo: Imprint: https://www.docebo.com/company/imprint/
3+ ansCandidates need at least 3 years of business intelligence, data analysis or reporting experience, and a bachelor's degree in a related field such as computer science, statistics or business. Strong SQL and Python skills, data visualization proficiency, and knowledge of data modeling are required, with Snowflake experience a plus.
SQL, Python, Snowflake
Klue
Candidates need a track record of meeting targets, and proven sales experience is required for the New Business role. Win-Loss roles need no sales experience, but strong drive, high EQ and a willingness to learn are expected.
HubSpot, Nooks, LinkedIn, AI tools
Safe Software
8+ ansCandidates need 8+ years designing people or customer experiences, plus proof of onboarding or culture programs built from scratch. They must have real internal communications and EVP experience, be fluent with engagement data, and be able to influence leaders without formal authority.
eNPS, Culture Guard, Glassdoor, LinkedIn
Valence
8+ ansCandidates need 8+ years in software engineering, distributed systems, infrastructure, or SRE roles, with experience building systems other teams depend on. Hands-on skills in CI/CD, cloud platforms, containers, observability, and incident response are expected, along with clear communication skills.
Docker, Kubernetes, AWS, GCP, Azure
LawZero
5+ ansCandidates need a computer science or related degree, 5+ years in data processing, ML engineering or NLP on trillion-token-scale text, and strong Python. Experience with distributed frameworks like Spark, Ray or Flink and orchestration tools like Airflow, Prefect or Dagster is also required.
Spark, Ray, Flink, Airflow, Prefect, Dagster
10 entreprises