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Senior Python Backend Engineer
Streamline complex workflows and manage organizational knowledge with human-centered AI tools designed to enhance productivity while protecting personal privacy.
Benefits:
401(k)
Health insurance
Life insurance
Paid time off
Employee assistance program
Education Requirements:
BS in Computer Science or related field
Experience Requirements:
7+ years building production-grade backend systems in Python
Experience working with Django and Celery
Built and deployed WebSocket and event-based communication layers
Proficient in at least one NoSQL database
Experience with production monitoring and observability platforms
Other Requirements:
Must be a US Citizen or Green Card Holder and live in the United States
Track record working in fast-paced startup environments
Comfortable leveraging AI tools in the development lifecycle
Responsibilities:
Design and build scalable microservices, RESTful APIs, and WebSocket-based systems
Manage and optimize NoSQL-backed data storage for performance and reliability
Develop backend services for real-time communication and high-throughput ETL
Implement monitoring, tracing, and alerting for production systems
Champion code quality through TDD, CI/CD pipelines, and effective code reviews
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General opportunity (Remote)
Generate privacy-safe synthetic data for AI training and testing while ensuring compliance and accelerating data sharing across secure enterprise environments.
Benefits:
Fully remote and distributed team
MOSTLY AI Phantom Stock Option Plan
Home office support (€1,000 allocation)
Monthly lunch stipend (€100)
Individual training budget
Experience Requirements:
Passionate about your work
Desire to learn and grow
Thrive in a collaborative and fast-paced environment
Other Requirements:
Permanent employee status
Candidates based in EMEA region
Interest in Generative AI and data privacy
Responsibilities:
Submit an open application for future consideration
Provide profile details for potential matchmaking
Contribute to a future where data empowers everyone
Join the team at the forefront of Generative AI
Bring Data Intelligence for Everyone to life
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Software Engineer- Data Platform(India-Remote)
Halve storage costs and accelerate query performance on petabyte-scale data lakes with self-optimizing, lossless AI compression for Spark, Snowflake, and Iceberg.
Benefits:
Competitive salary
Meaningful equity
Substantial bonus for top performers
Flexible time off
Comprehensive health coverage
Experience Requirements:
5+ years in software/data engineering roles
Strong Python skills
Experience building scalable data pipelines
Hands-on with Apache Iceberg/Delta Lake
Workflow orchestration expertise (Airflow)
Other Requirements:
Customer-facing skills
Thrives in fast-paced startup environments
Responsibilities:
Build backend APIs and scalable data pipelines
Work with lakehouse tech (Iceberg, Snowflake)
Orchestrate workflows and optimize big data frameworks
Manage infrastructure as code (Terraform)
Collaborate with customers to solve data challenges
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Senior Full Stack Engineer
Scale business operations and automate complex tasks with custom AI agents that integrate with 200+ tools, ensuring enterprise-grade security and data ownership.
Benefits:
Competitive salary and comprehensive benefits
Flexible working hours and remote work opportunities
A dynamic and friendly work environment
Opportunities for professional development and career progression
Company-sponsored learning initiatives and tech conferences
Experience Requirements:
7+ years of professional experience as a Full Stack Developer or similar role
Strong knowledge of JavaScript, TypeScript, and Python
Experience with SQL databases and Object-Relational Mapping (ORM) frameworks
Proficiency in version control systems like Git
Knowledge of agile development methodologies
Other Requirements:
Strong problem-solving abilities and capacity to work independently as well as in a team
Excellent communication and teamwork skills
Proven experience in leading projects and effectively communicating with cross-functional partners
Deep understanding of automation tools and frameworks
Experience with Supabase for data storage, user authentication, and serverless cloud functions
Responsibilities:
Designing and building high-quality, efficient, and reusable back-end systems and APIs
Crafting an intuitive and interactive UI using ReactJS
Managing all phases of the software development life cycle
Collaborating closely with Product and Design teams to translate end-user requirements into practical software solutions
Leading, mentoring, and supporting other team members
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Opportunistic Role
Optimize conversion rates and track user journeys with a simple AI-powered analytics dashboard designed for marketers and growth-focused teams to drive ROI.
Benefits:
Competitive compensation package
Flexible work environment with opportunities for remote work
Professional development and training opportunities
Potential for growth and advancement within the organization
Access to a vibrant and inclusive company culture
Other Requirements:
exceptional talent
passionate about making a difference and driving impact
share our values and vision for the future
Responsibilities:
Contribute to our mission of improving the user experience of the Internet
Driving impact
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Senior DGX Cloud AI Infrastructure Software Engineer
Accelerate AI development and scaling across global GPU networks with a unified platform that simplifies multi-cloud deployment and infrastructure management.
Benefits:
Equity
Benefits
Education Requirements:
Bachelor's degree or higher in Computer Science or a related technical field
Experience Requirements:
Minimum of 8+ years of experience in software infrastructure for large scale AI systems
Other Requirements:
Debugging and triaging AI applications
Observability platforms (ELK, Prometheus, Loki)
Python, C/C++, script languages
CI/CD and defensive programming
Responsibilities:
Develop infrastructure software for pre-training and inference
Optimize tools to improve efficiency and resiliency
Co-design and implement APIs for resiliency stacks
Enhance products underpinning NVIDIA's AI platforms
Define actionable reliability metrics
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AI Outcomes Manager
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Experience Requirements:
5+ years of professional experience
Proven understanding and ability to write complex prompts
Hungry, curious, and consultative mindset
Strong problem-solving skills with the ability to adapt to scenarios
Excellent communication skills
Other Requirements:
Product sense and ability to drive a product’s full potential capabilities
Responsibilities:
Engage with executive sponsors and provide strategic reviews
Consult customers on developing and executing on their AI roadmap
Conduct use case discovery workshops and turn those use cases into tangible outcomes
Collaborate internally with Product and R&D to help shape product roadmap
Proactively identify opportunities to expand Glean’s deployment
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AI Outcomes Manager
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Benefits:
Variable compensation
Equity
Benefits
Experience Requirements:
5+ years of professional experience in roles that blend business and technology
Demonstrated ability to craft effective prompts and guide AI agents
Understanding of what current LLMs can and cannot do
Product sense and user empathy
Hands-on experience with modern AI platforms and tools
Responsibilities:
Partner with executive sponsors and end users to identify high‑impact use cases
Lead strategic reviews and advise customers on their AI roadmap
Translate business needs into clear problem statements, success metrics, and practical AI solutions
Conduct discovery workshops, scope pilots, and guide rollouts
Design and build AI agents with and for customers
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AI Outcomes Manager (ANZ)
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Experience Requirements:
3 to 5 years of professional experience
Hungry, curious, and consultative mindset
Strong problem-solving skills
Proven understanding and ability to write complex prompts
Excellent communication skills
Responsibilities:
Engage with executive sponsors and provide strategic reviews
Consult customers on developing and executing on their AI roadmap
Conduct use case discovery workshops and turn those use cases into tangible outcomes
Collaborate internally with Product and R&D to help shape product roadmap
Proactively identify opportunities to expand Glean’s deployment
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AI Outcomes Manager - Japan
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Experience Requirements:
3 to 5 years of professional experience
Fluency in English
Hungry, curious, and consultative mindset
Strong problem-solving skills
Proven understanding and ability to write complex prompts
Responsibilities:
Engage with executive sponsors and provide strategic reviews
Consult customers on developing and executing on their AI roadmap
Conduct use case discovery workshops and turn those use cases into tangible outcomes
Collaborate internally with Product and R&D to help shape product roadmap
Proactively identify opportunities to expand Glean’s deployment
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AI Outcomes Manager - Singapore
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Experience Requirements:
2+ years of professional experience
Hungry, curious, and consultative mindset
Strong problem-solving skills
Proven understanding and ability to write complex prompts
Excellent communication skills
Responsibilities:
Engage with executive sponsors and provide strategic reviews
Consult customers on developing and executing on their AI roadmap
Conduct use case discovery workshops and turn those use cases into tangible outcomes
Collaborate internally with Product and R&D to help shape product roadmap
Proactively identify opportunities to expand Glean’s deployment
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Delivery Excellence Manager- East or Central
Empower employees with an AI assistant that finds answers, summarizes documents, and automates workflows across all company data and 100+ native app integrations.
Benefits:
Medical, Vision, and Dental coverage
Generous time-off policy
401k plan
Home office improvement stipend
Annual education and wellness stipends
Education Requirements:
Must hold AWS Certified Cloud Practitioner, Microsoft Certified Azure Fundamentals, or Google Cloud Digital Leader certification
Experience Requirements:
3+ years of experience in technical deployment, implementation, or technical account management
Strong understanding of software development life cycles (Agile and DevOps)
Proven experience serving enterprise clients
Experience with process documentation and playbooks
Excellent analytical and problem-solving skills
Other Requirements:
Role is remote in the US in either the East or Central timezones
Responsibilities:
Lead and orchestrate successful implementations and long-term customer engagements
Primary lead on new customer deployments including SSO and connectors setup
Own end-to-end delivery from kickoff to go-live through renewal
Create and execute joint success plans driving adoption and engagement
Monitor and report on deployment progress and adoption metrics
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Middle/Senior Full-Stack JavaScript Software Engineer (React, Node.js)
Launch full-stack business apps in days with AI-powered code generation, complete source code ownership, and instant cloud deployment for startups and SMBs.
Benefits:
Exposure to diverse clients and projects
Transparency and honesty in internal processes
Flexible working hours
Ability to work remotely
B2B contract or incubator employment
Experience Requirements:
3+ years of JavaScript frameworks (React, Vue etc.)
Experience developing Node JS applications
Knowledge of design patterns and OOP
Typing skills (HTML5, CSS3)
Other Requirements:
Fluent English (B2+)
Enthusiasm for product responsibility
Responsibilities:
Develop full-stack business applications (CRM/ERP)
Collaborate with global clients on custom projects
Full-stack development using React and Node.js
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Staff AI Software Engineer
Automate lead qualification and customer engagement for enterprise teams using persistent AI Agents that drive revenue across the entire buyer journey.
Experience Requirements:
Experience shipping an AI-powered system or feature to production
Experience making technical tradeoffs when building or scaling systems
Other Requirements:
Authorized to work in the United States without employer sponsorship
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Senior Execution Data Scientist
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Choice of Medical plans
Dental and vision insurance
Patient advocacy program
FSA (Flexible Spending Account)
Short- and long-term disability plans
Education Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, IT or a related technical field
Master’s degree (Alternative)
Experience Requirements:
6 years of experience as Data Scientist (or 3 years with Master's degree)
3 years of experience consulting with customers on end-to-end data science solutions
3 years of experience building and implementing machine learning or AI models into production
Experience with predictive modeling and complex statistical analysis
Experience building end-to-end AI solutions including problem framing and data preparation
Other Requirements:
Ability to develop predictive models and AI algorithms across various industries
Expertise in integrating models into client environments
Ability to solve complex data science problems by building end-to-end AI solutions
Responsibilities:
Develop and execute end-to-end enterprise-grade AI solutions for customers
Serve as a Data Science technical expert during customer engagements
Conduct proof-of-concept and proof-of-value trials
Carry out AI implementation and operationalization
Train end users and guide clients on evaluating success criteria
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Staff Software Engineer (Gen AI)
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Education Requirements:
Strong Computer Science fundamentals
Experience Requirements:
5-7+ years of proven experience writing high-quality code in Python
Deep experience with automated testing and test-driven development
Knowledge of software architecture for large systems
Expert proficiency in Kubernetes architecture and operations
Hands-on experience with Infrastructure as Code (IaC) principles
Other Requirements:
Ability to troubleshoot complex production environments at the application and DB level
Experience with agentic AI (Nice to have)
Responsibilities:
Lead the technical design and implementation of projects
Mentor other engineers and provide constructive feedback in code reviews
Design and build robust, scalable application-level software
Ensure microservices are secure, performant, and deployable
Collaborate with product managers and data scientists
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Senior Data Engineer, Product Analytics
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Education Requirements:
BA/BS preferred in a technical or engineering field
Experience Requirements:
5-7 years of experience in a data engineering or data analyst role
Experience building and maintaining product analytics pipelines
Strong understanding of data warehousing concepts and SQL
Experience working with cloud providers (AWS, Azure, GCP)
Solid programming foundations and proficiency in Python, Scala, or R
Other Requirements:
AWS cloud certification is a plus
Responsibilities:
Architect and deliver scalable, reliable data warehouses and analytics platforms
Partner with Product Manager to shape project roadmap
Develop, deploy, and support analytic data products like data marts
Instrument telemetry capture and data pipelines
Maintain and support deployed ETL pipelines and ensure data quality
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Staff Software Engineer
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Experience Requirements:
8+ years of experience
Expert in developing software with Python (5+ years)
Expert proficiency in Kubernetes architecture and operations
Experience designing and operating diverse CI/CD pipelines with Harness.io
Experience with gpu clusters or multi-node AI/ML
Other Requirements:
CKAD (Certified Kubernetes Application Developer) certification (Nice to have)
Agentic AI experience (Nice to have)
Responsibilities:
Build systems ensuring micro-services are secure and performant
Develop systems to right-size computing resources for Kubernetes
Design and architect automated quality platforms
Set roadmaps and define milestones for platform engineering
Establish continuous delivery and performance requirements
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Database Engineer II
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Experience Requirements:
3-5 years of experience managing large-scale, high-availability database systems
Experience with PostgreSQL and MongoDB in cloud environments
Experience with Kubernetes & Helm
Experience with streaming replication or MongoDB sharding
Experience with administration, automation, and troubleshooting
Other Requirements:
Enthusiasm to manage stateful infrastructure
Proficiency in Bash and Python for automation
Responsibilities:
Design and maintain database infrastructure using StatefulSets and Operators
Own the deployment lifecycle for database clusters
Proactively monitor performance, security, and availability
Perform zero-downtime upgrades and migrations
Manage and optimize performance for backend data stores
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Staff Software Engineer
Build, deploy, and govern enterprise-grade AI agents at scale with a unified platform designed for security, observability, and hybrid-cloud flexibility.
Benefits:
Medical, Dental & Vision Insurance
Flexible Time Off Program
Paid Holidays
Paid Parental Leave
Global Employee Assistance Program (EAP)
Experience Requirements:
7+ years of engineering experience
2+ years in infrastructure, platform, or backend systems roles
Deep expertise in Kubernetes internals and operations
Strong proficiency in modern programming languages such as Python or Go
Strong experience with Helm and CI/CD automation
Other Requirements:
Ability to influence without authority
Experience with performance tuning for large-scale data workloads
Responsibilities:
Architect and implement scalable Kubernetes-based infrastructure
Lead technical direction for core Fleet initiatives
Mentor engineers across the team
Drive modernization efforts introducing patterns like GitOps
Collaborate with SRE, Platform, and Application teams
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