AI Jobs

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• Competitive Pay & Equity (Share Options & Bonuses)

• 30 vacation days & company shutdown

• Hybrid Work & MacBook (€500 remote budget)

• Green Mobility Perks (Deutschlandticket & bike leasing)

• Fitness & Wellness via Urban Sports Club

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• PhD or Master’s in ML, CV, NLP, or related field

Experience Requirements:

• 5+ years of experience working on vision or VLMs

• Proven experience applying ML to healthcare documents or medical imaging

Other Requirements:

• Hands-on with PyTorch, HuggingFace, OpenCLIP

• Deep understanding of HIPAA and PHI protection

• Comfortable with RAG pipelines

Responsibilities:

• Research and build state-of-the-art VLM pipelines for medical documents

• Fine-tune or adapt models like BLIP-2, LLaVA, GLaMM

• Develop multimodal grounding strategies for RAG and Agent workflows

• Evaluate models for factuality, safety, and explainability

• Collaborate with product engineers to deploy models at scale

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• MD, DO, or equivalent

Experience Requirements:

• 10+ years of clinical practice

Other Requirements:

• Background in utilization management and health system workflows

• Experience launching digital health or AI solutions

• Familiarity with regulatory standards (CMS, FDA)

Responsibilities:

• Define and champion the clinical vision across the platform

• Lead clinical validation and QA protocols

• Hire, mentor, and lead a clinical organization

• Serve as trusted clinical executive for enterprise customers

• Build a Clinical Governance Framework for AI safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years in SRE/CloudOps roles

Other Requirements:

• Expertise in AWS, Azure, and GCP

• Hands-on experience with Terraform, Kubernetes, and Docker

• Scripting skills in Python, Bash, or Go

Responsibilities:

• Design and manage multi-cloud infrastructure

• Build deployment workflows using Terraform and CI/CD tools

• Define and uphold SLAs/SLOs and incident management

• Implement security controls for HIPAA and SOC2

• Configure AI platform and solutions at customer deployments

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years of hands-on experience in information security

Other Requirements:

• Focus on healthcare systems (EHRs, claims)

• Familiarity with HIPAA, HITECH, and SOC 2

• Cloud security background (Azure, GCP, AWS)

Responsibilities:

• Single point of contact for security and compliance

• Design security protocols for healthcare workflows

• Lead security assessments and penetration tests

• Embed security into the SDLC

• Conduct periodic vulnerability checks and internal training

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5–8+ years in enterprise client success or account management

Other Requirements:

• Experience in healthcare and/or AI

• Proficiency in HubSpot, Monday.com, Slack

• Exceptional communication and storytelling skills

Responsibilities:

• Own end-to-end success of key enterprise customers

• Build and execute Account Plans and use case mapping

• Demonstrate measurable ROI through metrics and insights

• Lead strategic discussions and Quarterly Business Reviews (QBRs)

• Collaborate internally to unblock issues and drive product feedback

Education Requirements:

• Currently in your third or fourth year of a bachelor’s degree program

Other Requirements:

• Adaptable, collaborative, and always up for a challenge

• Proactive with an entrepreneurial spirit

Responsibilities:

• Gain real-world experience through branch operational roles

• Learn leadership skills

• Help to solve client problems

• Grow your professional network

Benefits:

• Diversity and inclusion commitment

• University sponsorship for bright women from disadvantaged backgrounds

Education Requirements:

• Technical background (Data Science, Machine Learning, or Engineering)

Experience Requirements:

• At least 3-5 years industry experience in a commercial, customer-facing environment

• End-to-end AI/ML product lifecycle understanding

• Strategic planning, time management, and problem-solving

Other Requirements:

• Right to Work status required

• Keen learner

Responsibilities:

• Build and maintain relationships with users and decision-makers

• Translate customer industry challenges into product opportunities

• Own the customer onboarding journey

• Support the running of customer delivery teams

• Find the next useful thing to build for a customer

Education Requirements:

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

Experience Requirements:

• 2-5+ years of experience in AI, ML, data-driven product development, or technical product management.

Other Requirements:

• Strong understanding of machine learning workflows, including data pipelines, model training/deployment, and MLOps

• Proven ability to manage the end-to-end product lifecycle — from concept to launch — in a technical environment

• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

• Strategic thinker with strong analytical and problem-solving abilities

Responsibilities:

• Drive AI Product Strategy: Define and execute the product vision and roadmap for AI and ML-based offerings

• Technical Partnership: Work closely with data scientists, ML engineers, and software developers to translate business problems into technical requirements

• Model Integration & Optimization: Oversee how AI models integrate with existing systems and ensure performance optimization and reliability

• Market & Technology Research: Analyze trends in artificial intelligence, generative AI, and automation

• Cross-Functional Collaboration: Partner with design, engineering, and operations teams to define requirements and manage trade-offs

Benefits:

• Competitive compensation with equity

• 100 percent covered health, dental, and vision with HSA

• 401k plan with match

• Remote-first with Open PTO

• Annual company retreats

Education Requirements:

• Bachelor’s degree required

• MBA a plus

Experience Requirements:

• 10+ years in B2B SaaS with meaningful enterprise customer ownership

• Proven commercial ownership of renewals and expansions

• Track record building and leading Customer Success organizations at growth-stage companies

• Strong executive presence and ability to translate usage into ROI narratives

• Operational excellence in building playbooks and accountability systems

Other Requirements:

• Bias to action, ownership, and clear metrics

• Comfort with ambiguity and fast iteration

• Team-first, candid communication, and high standards

• Player-coach mindset

Responsibilities:

• Own Gross Revenue Retention (GRR) and Net Revenue Retention (NRR)

• Own renewal strategy and execution end to end

• Serve as executive sponsor on most strategic accounts

• Lead the Customer Success organization across Delivery and Growth lanes

• Build a disciplined feedback loop from enterprise customers into Product and GTM

Benefits:

• Friendly cooperation at eye level

• Flexible working hours

• Public transport ticket with a 50% subsidy

• Discount on Urban Sports Club memberships

• Generous learning budget

Experience Requirements:

• 5+ years of quota-carrying B2B software sales experience

• Strong track record of winning net-new enterprise logos

• Experience managing complex, long sales cycles (6 to 12 months)

• Experience selling into multi-stakeholder environments

• Strong understanding of enterprise sales methodologies (MEDDPICC, Miller Heiman, etc.)

Other Requirements:

• Fluency in spoken and written English

• Fluent French would be a strong plus

• Highly structured, disciplined pipeline management

• A passion for technology and data protection

• Experience selling into regulated industries (automotive, public sector, etc.)

Responsibilities:

• Drive net-new logo acquisition across enterprise accounts globally through a consultative, value-driven sales approach

• Build a strong pipeline through strategic outbound and targeted account planning

• Engage C-level stakeholders, data protection, and product teams to identify key contacts

• Navigate complex buying committees and multi-layered approval processes

• Collaborate closely with our VP of Sales and internal experts on the sales, product and marketing teams

Benefits:

• Competitive salary based on ability

• Social insurance and health insurance

• FPT Premium Care package

• Study support package for children of FCI union

• Sponsor related courses and certifications

Experience Requirements:

• At least 5 years of working experience in a similar position

• Experienced in project management with a corporate’s client

• Experienced managing multiple projects at the same time

• Experienced in AI

Other Requirements:

• PMP certificate

• Thorough understanding of the Project Management process’ standards

Responsibilities:

• Define project scope, goals and deliverables in collaboration with stakeholders

• Develop and maintain project plans, schedules, budgets, and resource allocation

• Manage day-to-day project activities and risk management

• Monitor project progress and adjust plans to ensure delivery on time

• Coordinate project team activities and ensure effective communication

Experience Requirements:

• 1+ years in ML/AI product development or software engineering

• Hands-on with embeddings, vector databases, and RAG

• Strong background in deep learning/transformers/foundation models

• Experience with relational data & SQL

• Proficiency in Python and familiarity with data wrangling

Other Requirements:

• Comfortable in an innovation pod or startup environment

• A tinkerer at heart who’s built full‑stack apps

• Collaborative and easy to work with

• Founding Engineer experience (Bonus)

Responsibilities:

• Design, implement, and deploy AI agents for relational/SQL data

• Build user-centric APIs and product surfaces

• Integrate Kumo’s Relational Foundation Model with enterprise data systems

• Develop adaptive, multi-step workflows

• Ensure interpretability and evaluation

Education Requirements:

• Bachelor’s, Master’s or PhD in a STEM field

Experience Requirements:

• Strong fundamentals in machine learning, statistics, and data science

• Proven ability to improve ML systems end-to-end

• Proficient developing safe and correct code

• Expertise in Fraud, Risk, or Forecasting (Preferred)

Other Requirements:

• Highly technical with a research mindset

• Strong engineering instincts

• Willingness to travel for strategic customer workshops

Responsibilities:

• Own a domain like fraud/AML, credit risk, or forecasting

• Design and execute rigorous model validation

• Partner with engineering and research to ship platform improvements

• Deliver demos and technical diligence during deal cycles

• Translate customer needs into modeling workflows