Benefits:

• Culture of mutual trust

• Professional growth opportunities

• Support and passion environment

Education Requirements:

• Currently pursuing a BSc, BEng or MSc in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field

Experience Requirements:

• Strong knowledge of Python and libraries such as pandas, scikit-learn, PyTorch or TensorFlow

• Prior experience in AI/ML, Data Science, Banking/Financial Services, FinTech, or Consulting

• Fluent/native business-level English

Other Requirements:

• Available at least 10 hours per week

• Self-starter

• Strong analytical and problem-solving skills

Responsibilities:

• Developing and improving AI/ML models for detection of suspicious activities

• Researching and implementing state-of-the-art techniques in data science

• Improving process efficiency and automation across the Data Science team

• Building prototypes and proof-of-concepts for novel AI-driven approaches

• Analyzing complex financial datasets and identifying patterns

Benefits:

• Unlimited paid time off

• 12 paid holidays

• 4 extra global VeeaMe Days

• 24 paid volunteer hours

• Paid parental leave

Education Requirements:

• CISSP certification

• CISM certification

• Cloud-specific certifications

Experience Requirements:

• 10+ years technical sales experience in security

• 15+ years in Software/SaaS/Enterprise technical sales

• Experience in pre-sales or sales engineering

• Hands-on experience with AWS, Azure, or GCP

Other Requirements:

• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)

• Experience with DSPM frameworks

• Experience with Linux, Kubernetes, or cloud data systems

Responsibilities:

• Act as the primary technical contact for Securiti AI solutions

• Lead technical discussions and deliver customized security solutions

• Address customer needs in data discovery, posture management, and compliance

• Design and present product demonstrations and proof-of-concepts

• Collaborate with product, engineering, and customer success teams

Benefits:

• Unlimited paid time off

• 12 paid holidays

• 4 extra global VeeaMe Days

• 24 paid volunteer hours

• Paid parental leave

Education Requirements:

• CISSP certification

• CISM certification

• Cloud-specific certifications

Experience Requirements:

• 10+ years technical sales experience in security

• 15+ years in Software/SaaS/Enterprise technical sales

• Experience in pre-sales or sales engineering

• Hands-on experience with AWS, Azure, or GCP

Other Requirements:

• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)

• Experience with DSPM frameworks

• Experience with Linux, Kubernetes, or cloud data systems

Responsibilities:

• Act as the primary technical contact for Securiti AI solutions

• Lead technical discussions and deliver customized security solutions

• Address customer needs in data discovery, posture management, and compliance

• Design and present product demonstrations and proof-of-concepts

• Collaborate with product, engineering, and customer success teams

Benefits:

• Unlimited paid time off

• 12 paid holidays

• 4 extra global VeeaMe Days

• 24 paid volunteer hours

• Paid parental leave

Education Requirements:

• CISSP certification

• CISM certification

• Cloud-specific certifications

Experience Requirements:

• 10+ years technical sales experience in security

• 15+ years in Software/SaaS/Enterprise technical sales

• Experience in pre-sales or sales engineering

• Hands-on experience with AWS, Azure, or GCP

Other Requirements:

• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)

• Experience with DSPM frameworks

• Experience with Linux, Kubernetes, or cloud data systems

Responsibilities:

• Act as the primary technical contact for Securiti AI solutions

• Lead technical discussions and deliver customized security solutions

• Address customer needs in data discovery, posture management, and compliance

• Design and present product demonstrations and proof-of-concepts

• Collaborate with product, engineering, and customer success teams

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Bachelor’s degree

• Master’s degree

• PhD

Experience Requirements:

• Minimum of 8 years related experience with a Bachelor’s degree

• 6 years experience with a Master’s degree

• 3 years experience with a PhD

• Proven ability to design flexible, maintainable ETL systems

• Experience with data pipeline orchestration tools (Prefect, Airflow, etc.)

Other Requirements:

• Strong Python software engineering skills

• Familiarity with AWS and Kubernetes

• Knowledge of data lake technologies (Parquet, Iceberg, etc.)

• Background in bioinformatics or chemistry is a plus

Responsibilities:

• Design and improve data pipelines for large, multi-modal datasets

• Evolve data storage layer for analytics and reproducibility

• Collaborate with ML engineers to improve Python-based data workflows

Benefits:

• Professional development in GenAI

• Private Medical insurance

• Multisport card

• Google certification paths

• Cooperation with a great team

Experience Requirements:

• Minimum of 3 years of experience in Data Science

• Minimum of 2 years of experience in NLP tasks

• Proficiency in PyTorch or another deep learning library

• Expert programming skills in Python

• Familiarity with the Numpy/Pandas libraries

Other Requirements:

• Solid understanding of machine learning concepts

• Knowledge of version control systems: git

• Interest in and ability to work with advanced AI technologies

• Knowledge of generative GPT models and Langchain

• Proficiency in cloud solutions (AWS or GCP)

Responsibilities:

• Work at the intersection of innovation and practical application

• Shape the future of AI technologies

Experience Requirements:

• Proven experience building distributed systems, data pipelines, or infrastructure

• Deep proficiency in at least one modern backend programming language (Python, Rust, Go)

• Experience architecting systems that handle diverse data types (text, geospatial, sensor)

• Familiarity with container orchestration (Kubernetes) across cloud, edge, and air-gapped environments

• Track record of designing and delivering complex platforms

Other Requirements:

• National security vetting (UKSV) requirement

• Strong systems thinker and collaborative mindset

• Growth-oriented engineer who thrives in ambiguity and iterates fast

• Comfortable working autonomously and making early design decisions

Responsibilities:

• Architect and implement core infrastructure for a high-performance adaptive platform

• Build robust, scalable pipelines for ingesting and transforming multimodal data

• Design systems for knowledge representation and ontological reasoning

• Develop composable services for deployment across cloud, edge, and on-prem

• Collaborate with domain experts to understand operational constraints and mission needs

Benefits:

• Competitive salary and performance-based incentives

• Annual personal development budget of £1,000

• 21-25 days of annual leave

• Fully remote work

• Access to leading industry conferences, training, and certifications

Education Requirements:

• BSc in Network Engineering, Cybersecurity, Computer Science, or a related advanced technical field.

Experience Requirements:

• 5+ years of hands-on security experience in a product-based company

• Demonstrated experience as the primary owner of a security operations function

Other Requirements:

• Deep understanding of cloud environments (AWS, Azure, or GCP)

• Strong background in incident response, risk assessment, and vulnerability management

• Familiarity with containerized environments (Docker, Kubernetes)

Responsibilities:

• Design, implement, and operate cloud security controls across AWS using Infrastructure-as-Code

• Review and contribute to Terraform, Kubernetes, and CI/CD configurations with a security lens

• Own vulnerability management end-to-end: detection, prioritization, remediation, and verification

• Act as incident commander for security incidents and coordinate investigation

• Partner with Compliance and Legal to support ISO 27001, SOC 2, GDPR, HIPAA, and FedRAMP

Benefits:

• Competitive salary and performance-based incentives

• Annual personal development budget of £1,000

• 21-25 days of annual leave

• Fully remote work

• Access to leading industry conferences, training, and certifications

Education Requirements:

• BSc in Network Engineering, Cybersecurity, Computer Science, or a related advanced technical field.

Experience Requirements:

• 5+ years of hands-on security experience in a product-based company

• Demonstrated experience as the primary owner of a security operations function

Other Requirements:

• Deep understanding of cloud environments (AWS, Azure, or GCP)

• Strong background in incident response, risk assessment, and vulnerability management

• Familiarity with containerized environments (Docker, Kubernetes)

Responsibilities:

• Design, implement, and operate cloud security controls across AWS using Infrastructure-as-Code

• Review and contribute to Terraform, Kubernetes, and CI/CD configurations with a security lens

• Own vulnerability management end-to-end: detection, prioritization, remediation, and verification

• Act as incident commander for security incidents and coordinate investigation

• Partner with Compliance and Legal to support ISO 27001, SOC 2, GDPR, HIPAA, and FedRAMP

Benefits:

• Competitive Pay (60/40 salary split)

• Fully Remote

• Quarterly team trips (mainly to Europe)

• Strategic Impact

Experience Requirements:

• SaaS Sales Experience closing deals in software

• Hands-on experience with Google Ads and Facebook Ads

• Visualization skills with Looker Studio or Power BI

Other Requirements:

• The Fixer Mentality

• SQL knowledge (bonus points)

Responsibilities:

• Convert high-intent inbound demo requests into paid users

• Selling solutions and solving client issues

• Owning the client relationship and success

• Collaborating directly with Founder, Engineering, and Support

Benefits:

• Full ownership

• Freedom to choose tools and patterns

• Small, focused, AI-augmented team environment

• Opportunity to shape the future of manufacturing data at planetary scale

Experience Requirements:

• 5+ years in software engineering, ideally with standalone service builds

• Experience with building scalable schemas and ingestion

• Strong background in web scraping/data pipelines (ETL, Airflow, similar)

• Demonstrated expertise in using AI tools/workflows to accelerate development responsibly

• A mix of technical depth, curiosity, and the ability to go deep or pivot quickly

Other Requirements:

• Excellent communication, autonomy, and a growth mindset

• Experience in manufacturing tech, marketplaces or hardware sourcing

• Experience with a Next.js, Tailwind and PostgreSQL stack

• Familiarity with web scraping at scale

Responsibilities:

• Lead AI-powered data warehousing of manufacturing equipment information

• Architect a data store to represent (almost) every product and OEM globally

• Build ingestion pipelines from internal and external sources

• Develop internal web UIs for data review & curation

• Expose clean APIs for other services to sync with and build from

Education Requirements:

• Master’s degree in Computer Engineering, Information Systems Management, Computer Science, or a related field

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

Experience Requirements:

• Two years of experience in the job offered or a related position (with Master's)

• Five years of experience in the job offered a related position (with Bachelor's)

Other Requirements:

• MS Azure, Excel, SQL, MS PowerBI, Tableau, Visio, JIRA and Confluence

• Incidental travel, 5% of time

Responsibilities:

• Design, develop and deliver technology-driven software solutions

• Gather and analyze business requirements for SmartCX, SmartWX, and SmartiX solutions

• Create functional designs and specifications

• Develop comprehensive functional specifications for user interface and data flow

• Write high quality, maintainable code adhering to coding standards

Benefits:

• Competitive salary

• Comprehensive benefits package

• Opportunities for career growth

Education Requirements:

• Master’s degree in computer science, Engineering, Data Science, or related field preferred

Experience Requirements:

• Solid experience as a Data Engineer or similar role

• Strong experience with cloud platforms (AWS, Azure, or GCP)

• Advanced knowledge of ETL/ELT processes and data modeling

• Proficiency in SQL

• Strong programming skills in Python

Other Requirements:

• Familiarity with GitHub and CI/CD pipelines

• Experience with big data technologies is a plus

Responsibilities:

• Design, develop, and optimize data pipelines

• Build and manage data models and data warehouses

• Develop automated data workflows using tools like Airflow or AWS Glue

• Implement CI/CD pipelines for automated deployment

• Monitor the performance and scalability of data systems

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 3+ years in data engineering

• Strong experience with AWS (ECS, S3, Lambda, etc.)

• Experience with Snowflake

• Experience with Dagster or Airflow

• Programming proficiency in Python

Other Requirements:

• Experience with DBT and ETL processes

• Understanding of SQL schema and query development

• Familiarity with CI/CD and Test Driven Development

Responsibilities:

• Build scalable data infrastructure for onboarding

• Design and develop automation tools for ingestion

• Implement end-to-end data solutions in agile environment

• Implement scalable ingestion pipelines leveraging AWS

• Develop integrations with Veeva/Salesforce

Benefits:

• Medical & dental benefits

• Flexible working hours

• Flexible time off policies

• Stock option grants

Experience Requirements:

• 3+ years of experience with data migration and ETL tools

• 3+ years of experience utilizing PySpark and Snowflake

• Strong proficiency in Python and SQL

• Experience with cloud platforms like AWS

• Knowledge of APIs and integration frameworks

Other Requirements:

• Familiarity with Veeva Vault or Salesforce

• Excellent communication and interpersonal skills

• Cover letter required with application

Responsibilities:

• Work with customers to discover and integrate data assets

• Collaborate to define technical requirements

• Configure platform to meet customer needs

• Build automated ETL workflows

• Lead troubleshooting during implementation phases

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 8+ years in data engineering or platform implementations

• Strong proficiency in Python and SQL

• Experience with cloud platforms (AWS)

• Background in distributed systems

• Proven experience leading technical teams

Other Requirements:

• Understanding of data security and compliance

• Life sciences / pharma domain experience preferred

• Cover letter required with application

Responsibilities:

• Lead complex multi-system implementations

• Serve as escalation point for technical challenges

• Partner with Product/Engineering on roadmap priorities

• Establish implementation playbooks and tooling standards

• Coach and develop Senior and Intermediate Engineers

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 8+ years in data engineering or platform implementations

• Strong proficiency in Python and SQL

• Experience with cloud platforms (AWS)

• Background in distributed systems

• Proven experience leading technical teams

Other Requirements:

• Understanding of data security and compliance

• Life sciences / pharma domain experience preferred

• Cover letter required with application

Responsibilities:

• Lead complex multi-system implementations

• Serve as escalation point for technical challenges

• Partner with Product/Engineering on roadmap priorities

• Establish implementation playbooks and standards

• Coach and develop Senior and Intermediate Engineers

Benefits:

• Meaningful stock option grants

• Medical & dental benefits

• Flexible time-off

Experience Requirements:

• 5+ years of experience in data implementation or ETL

• Strong hands-on experience with PySpark, Snowflake, and SQL

• Experience designing complex data pipelines

• Knowledge of cloud platforms (AWS preferred)

• Experience with APIs and integration frameworks

Other Requirements:

• Life sciences or pharma experience strongly preferred

• Ownership mentality and mentoring mindset

• Cover letter required with application

Responsibilities:

• Own complex customer implementations end-to-end

• Build automated ETL workflows

• Translate business requirements into technical solutions

• Define data validation frameworks

• Mentor and support junior Implementation Engineers

Benefits:

• Stock options

• Medical coverage

• Dental coverage

• Vision coverage

• Matching 401(k) plan

Education Requirements:

• BS in Computer Science or equivalent

Experience Requirements:

• 3+ years of software engineering experience

• 2+ years of experience programming in Python

• 2+ years of experience building data systems on cloud service providers

• 2+ years of experience working with relational databases (e.g. PostgreSQL)

Other Requirements:

• Experience with Google Cloud

• Experience with containerization (Kubernetes)

• Experience with CI/CD

• Familiarity with vector and raster data formats

Responsibilities:

• Develop pipelines to ingest, process, and publish geospatial and proprietary data

• Develop internal tools for dataset creation and data management

• Build and manage large-scale cloud pipelines for image and structured data

• Optimize data systems across in-house and cloud platforms

• Scale AI detection by monitoring system reliability and platform costs

Benefits:

• Competitive salary + share of equity and token pool

• Fully remote work

• Visa sponsorship

• 3-4x all expenses paid company retreats

• Whatever equipment you need

Experience Requirements:

• Track record of leading teams in scale/start-ups

• Experience attracting and hiring world-class engineers

• Hands on engineering experience in Infrastructure/Platform Engineering

• Hands on engineering experience in Security Engineering

• Hands on engineering experience in SRE/DevOps

Other Requirements:

• Exceptional leadership, communication, and drive

• Experience scaling distributed systems or high-load infrastructure

• Strong security engineering background

• Deep hands-on DevOps expertise

Responsibilities:

• Hire, coordinate and drive a high performing team of Infrastructure, DevOps, and Security Engineers

• Mentor, incentivize, and manage engineers to deliver highly complex and uncertain deliverables

• Lead and unblock members of your team

• Work closely with the CTO and Technical Leads to scope and report on deliverables

• Hire and retain world class talent