AI Jobs

Benefits:

• Competitive salary and meaningful equity

• Comprehensive healthcare

• Unlimited vacation policy

• 401(k) and pension plans

• Complete work setup

Experience Requirements:

• 1–3 years of experience in marketing, GTM, or related roles

• Familiar with basic marketing tools; CRM experience is a plus

• Familiar with B2B SaaS; fintech, banking, or fraud experience is a plus

Other Requirements:

• Comfortable with hands-on, sometimes repetitive execution work

• Highly organized with strong attention to detail

• Curious, coachable, and eager to learn

• Confident asking questions and collaborating cross-functionally

• Read through this whole this page (the easter egg is "x-ray")

Responsibilities:

• Execute go-to-market campaigns across events, email, web, SEO, and LinkedIn

• Own end-to-end execution of assigned campaigns, especially events

• Manage campaign logistics including lists, invites, reminders, and follow-up

• Support outbound and follow-up efforts tied to campaign and event leads

• Help run creative programs such as direct mail and gifting

Benefits:

• competitive compensation

• startup equity

• health insurance

Education Requirements:

• Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.

Experience Requirements:

• 3+ years of experience working on ML systems, large-scale model training, inference, or adjacent areas.

• Demonstrated experience owning complex technical projects end-to-end.

Other Requirements:

• Strong expertise in Systems-first profile, RL-first profile, or Model architecture design.

• Comfortable working from algorithms to engines.

• Solid research foundation in area(s) of depth.

• Strong coding ability in Python.

Responsibilities:

• Advance inference efficiency end-to-end

• Unify inference with RL / post-training

• Own critical systems at production scale

• Provide technical leadership (Staff level)

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI

• Strong technical background with knowledge of AI, ML, and GPU technologies

• Familiarity with infrastructure services like Kubernetes and SLURM

• Familiarity with operating storage systems in HPC environments such as Vast and Weka

• Strong knowledge of Python, TypeScript, and/or JavaScript

Other Requirements:

• Foundational understanding in compute clusters.

• Excellent communication and interpersonal skills.

• Ability to operate in dynamic environments.

• Strong sense of ownership and willingness to learn.

Responsibilities:

• Engage directly with customers to tackle and resolve complex technical challenges

• Become a product expert in all Gen AI solutions

• Collaborate seamlessly across Engineering, Research, and Product teams

• Transform customer insights into action by identifying patterns in support cases

• Maintain detailed documentation of system configurations and FAQs

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 8+ years in data center strategy, site selection, or infrastructure planning at a hyperscaler or large colocation provider

Other Requirements:

• Strong technical grasp of DC fundamentals (power architecture, cooling, rack density).

• Experience leading large complex multi-party negotiations.

• Knowledge of standard data center, power, and real estate contractual frameworks.

• Financial fluency in TCO modeling and lease vs. own analysis.

Responsibilities:

• Develop Together's global data center strategy

• Own site selection and vendor relationships

• Lead technical site diligence process

• Negotiate and interface with executive and senior level management

• Drive high-impact commercial and strategic transactions

Benefits:

• competitive compensation

• startup equity

Experience Requirements:

• Experienced backend developer with work in relational databases and key/value stores

• Experience working in Elixir or another functional programming language is strongly preferred

• Proficient in TypeScript and Next.js API development

Other Requirements:

• Willing and eager to become proficient in Elixir and Phoenix.

• Interested in authentication and authorization (OIDC, SAML, OAuth, JWT, RBAC).

• Passion for working in high-performing startup teams.

Responsibilities:

• Design & Implement Elixir APIs and services

• Build service SDKs and advise other teams

• Contribute to running the Elixir/Erlang VM (BEAM) in production

• Work across services to improve integrations and replace legacy solutions

• Participate in making product and technical decisions

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 5+ years of experience in HR Operations, People Operations, or a related role at a high-growth startup

• Strong HRIS experience with hands-on system administration

• Experience supporting international employees and systems across multiple countries

Other Requirements:

• Solid understanding of payroll concepts.

• Exceptional attention to detail.

• Strong logical thinker who enjoys problem-solving.

• Ability to handle employee confidential information with discretion.

Responsibilities:

• Own day-to-day maintenance and administration of HRIS (HiBob)

• Manage employee lifecycle events (onboarding, changes, offboarding)

• Partner with Payroll, Finance, IT, and external vendors

• Troubleshoot discrepancies across systems

• Support immigration processes and compliance management

Experience Requirements:

• 0-5 years

Other Requirements:

• Growth Hacking Mindset

• ‘Learnability’ & 'Passionate'

• UI / UX

• Visual Design

• Copywriting

Responsibilities:

• Data-Tracking & Analytical insight

• Acquisition Marketing (Social, Search, Content, Email, etc.)

• Customer Retention

• Referral Programs & Viral Marketing

• Conversion Rate Optimization & A/B-testing

Benefits:

• Continuous learning and development opportunities

• Flexible work culture for healthy work-life balance

• Innovative solutions hub

• Collaborative environment

• Social activities and hobby clubs

Responsibilities:

• Provide high-quality technical support for IPera's growing client & partner base

• Primary interface for Tier-2 support of cloud-based IPERA STARLING WiFi Software

• Handle technical issues reported by customers

Benefits:

• Professional growth with continuous learning

• Flexible work environment

• Healthy work-life balance

• Collaborative and open communication

• Social activities through various hobby clubs

Responsibilities:

• Join the software development team

• Work on main applications targeting Turkey and international markets

Benefits:

• Professional growth opportunities

• Flexible work culture

• Healthy work-life balance

• Innovative solutions hub

• Collaborative environment

Responsibilities:

• Provide high-quality technical support for IPera's growing client & partner base

• Primary interface for Tier-2 support of cloud-based IPERA STARLING WiFi Software

• Resolve technical issues reported by customers

Experience Requirements:

• Passionate thinkers

• Ready to build, innovate, and change the world

Other Requirements:

• Resume and cover letter describing the role and value proposition

Responsibilities:

• Build, innovate, and change the world

Benefits:

• Choice of Medical plans

• Dental and vision

• FSA

• Short- and long-term disability

• Paid parental leave

Education Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, IT or related field

Experience Requirements:

• 6 years of experience as Data Scientist

• 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

Other Requirements:

• Experience with problem framing, data preparation, model building, and visualization

• Experience with AI algorithms and systems to generate business insights

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Solve complex data science problems using DataRobot

• Train end users

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in a technical field (physical sciences, engineering, computer science, statistics, etc.)

Experience Requirements:

• 3+ years of building and implementing analytics solutions for stakeholders

Other Requirements:

• Must be a US citizen

• Must have an active Secret or Top Secret/SCI clearance

• Fluency with scripting in Python

• Travel for customer meetings

Responsibilities:

• Successfully conduct a 6 month structured training program

• Provide DataRobot platform and data science support to clients

• Enable customers to solve complex data science problems

• Work side by side with sales, success and engineering teams

• Act internally as the voice of the customer

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 5-7+ years of proven experience writing high-quality code in Python

• Expert proficiency in Kubernetes architecture and operations

• Hands-on experience with Infrastructure as Code (IaC)

• Deep experience with automated testing and test-driven development

Other Requirements:

• Strong Computer Science fundamentals

• Experience with software architecture for large systems

• Experience with GPU clusters or multi-node AI/ML

Responsibilities:

• Lead technical design and implementation of projects

• Mentor other engineers and provide constructive code reviews

• Design and build robust, scalable application-level software

• Collaborate with product managers and data scientists

• Engage in engineering on-call escalated support

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field

Experience Requirements:

• 8+ years in a technical product management role

• Experience with unstructured and structured data management capabilities like RAG systems

• Experience working directly with public cloud services

Other Requirements:

• Deep understanding of data preparation and management for AI

• Proven track record of introducing radical new products (0 to 1)

Responsibilities:

• Lead technical discussions and be a thought leader

• Define product strategy and detailed requirements

• Develop and manage end-to-end product plans

• Work closely with customers to ensure successful adoption

• Own execution of foundational infrastructure for Agentic AI

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

• Experience with relational databases (Snowflake, Redshift, Postgres, etc.)

• Experience with cloud providers like AWS, Azure, GCP

Other Requirements:

• Proficiency in Python, Scala, or R

• Experience with DevOps workflows and tools like DBT, GitHub, Airflow

Responsibilities:

• Architect and deliver scalable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products

• Maintain and support deployed ETL pipelines

• Instrument telemetry capture and data pipelines

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 diverse CI/CD pipelines with Harness.io

Other Requirements:

• Experience with GPU clusters or multi-node AI/ML

• Ability to influence others without formal authority

Responsibilities:

• Build secure, performant, and reliable micro-services

• Design and architect automated quality platforms

• Build systems to right-size computing resources for Kubernetes

• Work with Product, Legal and Security on continuous delivery

• Mentor senior engineers and foster positive team culture

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Experience Requirements:

• 3-5 years managing large-scale, high-availability database systems

• Experience with Kubernetes & Helm

• Experience with advanced PostgreSQL HA concepts and/or MongoDB sharding

Other Requirements:

• Experience with AWS, GCP, or Azure

Responsibilities:

• Design, implement, and maintain database infrastructure

• Own the deployment lifecycle for database clusters

• Perform zero-downtime upgrades and migrations

• Develop and maintain automation tools and scripts (Bash, Python)

• Optimize performance for backend data stores

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

Other Requirements:

• Experience operating across multiple cloud providers (AWS, GCP, Azure)

• Experience with Helm, container orchestration patterns, and CI/CD automation

Responsibilities:

• Architect and implement scalable, secure Kubernetes-based infrastructure

• Lead technical direction for core Fleet initiatives

• Mentor engineers across the team

• Drive modernization efforts using GitOps and Policy-as-Code

• Collaborate deeply with SRE, Platform, and Application teams

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Master’s Degree or Ph.D. in Computer Science, Statistics, AI, Engineering, or a related quantitative field

Experience Requirements:

• 6-8 years of hands-on experience in AI Application development or similar

• Practical experience with Generative AI technologies

• Experience developing and deploying applications (REST APIs)

• Proficiency with containerization using Docker and Kubernetes

Other Requirements:

• Travel requirements associated with visiting clients onsite 25% - 50%

• Strong proficiency in Python

• Hands-on experience with a major cloud platform (AWS, Azure, or GCP)

Responsibilities:

• Partner with Customers to understand business goals

• Design, develop, and deploy end-to-end AI solutions

• Build custom GenAI chatbots and RAG systems

• Serve as a Technical Expert on the DataRobot platform

• Communicate complex technical concepts to diverse audiences