AI Jobs

Benefits:

• Health insurance (DMS)

• Direct contact with shareholders

• Performance-based bonuses

• Autonomy and influence

Experience Requirements:

• 5+ years in finance in leadership or senior positions

• Experience working directly with shareholders

• Experience in M&A or due diligence

• Experience in holding structures or asset portfolio management

Other Requirements:

• Owner mindset

• Knowledge of accounting and taxation

• Proficiency in financial process automation (ERP, BI)

• Ability to build and evaluate financial models

Responsibilities:

• Transform Management Company into a Fund

• Manage consolidated management reporting (P&L, CF, BS)

• Manage group-wide cash flows and dividends

• Set up reporting and audit for investment projects

• Support M&A deals and financial modeling

Benefits:

• Health insurance (DMS)

• Psychologist compensation

• Sports compensation

• Flexible social package

• Corporate events

Experience Requirements:

• No experience required

Other Requirements:

• Proficiency in Excel/Google Sheets and Word/Google Docs

• Ability to work with EDI (Diadoc)

• Knowledge of 1C is a plus

• Experience in a digital ad agency is a plus

Responsibilities:

• Prepare monthly closing documents (invoices, UPD)

• Prepare and reconcile premium statements

• Monitor payment deadlines and accounts receivable

• Manage contract signatures and original documents

• Assist in tender documentation and accounting requests

Benefits:

• Competitive base salary + bonus + equity

• Healthcare, vision, dental

• 401k match

• Gym/wellness reimbursement

• Education reimbursement

Education Requirements:

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

Experience Requirements:

• 1+ years of experience as a Smart Contract Engineer

• Excellent understanding of blockchain technology and Ethereum

Other Requirements:

• Strong analytical skills

• Ability to work independently and as part of a diverse team

Responsibilities:

• Develop and deploy robust, secure smart contracts on Ethereum

• Analyze and determine the functionality of smart contracts

• Identify vulnerabilities and potential security faults

• Collaborate with the cybersecurity team to enhance analysis tools

• Stay updated with latest developments in blockchain technology

Education Requirements:

• Master’s degree in Public Policy, Law, Economics, or a related field

Experience Requirements:

• Minimum of 5 years of experience in policy analysis

• Strong understanding of global financial policies

Other Requirements:

• Excellent analytical and communication skills

• Ability to synthesize complex information

Responsibilities:

• Analyze and interpret global regulatory trends affecting cybersecurity

• Develop policy recommendations for international financial regulations

• Engage with regulatory bodies and stakeholders

• Prepare reports and policy briefs on regulatory changes

• Collaborate with internal teams to align business practices

Benefits:

• Gym/wellness reimbursement

• Education reimbursement

• Wellness Fridays

Education Requirements:

• Currently pursuing a bachelor’s degree in Business Administration, Marketing, Economics, or related field

Experience Requirements:

• Strong analytical skills and attention to detail

Other Requirements:

• Excellent communication and interpersonal skills

• Enthusiasm for learning

Responsibilities:

• Assist with planning and execution of marketing and branding strategies

• Participate in market analysis and lead generation activities

• Support product marketing initiatives and new product launches

• Contribute to business intelligence projects by collecting data

• Prepare presentations and reports to communicate findings

Education Requirements:

• PhD or more

Experience Requirements:

• > 3 years

Other Requirements:

• Strong ML foundations (probability, linear algebra, optimization)

• Proficient in Python + PyTorch

• Strong communication and scientific rigor

• Motivation to make a real impact in healthcare

Responsibilities:

• Design and scale visual representations from large de-identified 2D/3D datasets

• Adapt and optimize models powering Gleamer’s clinical features

• Fine-tune encoders + LLMs for report generation and extraction

• Inference optimization (Docker, ONNX, TensorRT, batching)

• Contribute across pretraining and fine-tuning stacks

Benefits:

• Stock purchase plan / Stock options

• Free food & snacks

• Afterworks, Team lunches

• Partners with Nonprofits

• Competitive salary

Education Requirements:

• MS or PhD in Computer Science, Machine Learning or related fields

Other Requirements:

• Proficient in Python, Rust or C/C++

• Experience in GPU programming (CUDA, Open AI Triton, Metal)

• Experience in model compression and quantization techniques

• Collaborative mindset

• Strong communication and presentation skills

Responsibilities:

• Develop scalable, low-latency and cost effective inference pipelines

• Optimize model performance (memory usage, throughput, and latency)

• Develop specialized GPU kernels for performance-critical tasks

• Collaborate with research teams on model architectures

• Implement state-of-the-art inference techniques

Benefits:

• Flexible working hours

• Food service or stocked kitchen

• Stock purchase plan / Stock options

• Team building

• Afterworks, Team lunches

Other Requirements:

• Fast-moving, product-minded full-stack engineer

• Autonomous and drive projects to completion

• Tech stack: Python, OpenAI API, Pytorch, Hugging Face, PostgreSQL, GCP, Poetry

• Forward-thinking regarding AI potential

Responsibilities:

• Design and implement end-to-end AI features for HR agents

• Test, fine-tune, and evaluate cutting-edge models

• Build frameworks to measure accuracy, reliability, and bias

• Work on latency, caching, and cost-optimization strategies

• Ensure AI features meet enterprise standards for privacy and fairness

Benefits:

• Health care plan: Alan (50% employer)

• Luncheon voucher: 9€ (50% employer)

• Transport: 50% pass or sustainable mobility pass

• Stock option (BSPCEs)

• Regular team events

Education Requirements:

• Master's degree in Biostatistics, Statistics, Data Science, or related field (Ph.D. preferred)

Experience Requirements:

• Proven experience in Real-World Evidence (RWE) and Advanced Survival Analysis

• Experience working with large-scale administrative claims databases (SNDS/PMSI)

Other Requirements:

• Expert-level skills in SQL and R or Python

• Ability to design and draft formal SAP and SAR

• Fluent in both English and French

• Strong sense of responsibility and rigor

Responsibilities:

• Lead the end-to-end biostatistical process from SAP to SAR

• Execute robust statistical analyses on longitudinal datasets

• Evaluate clinical and healthcare resource utilization metrics

• Provide statistical foundation for peer-reviewed publications

• Collaborate with the Data Science team

Benefits:

• Employee Resource Groups (ERG)

• Paid volunteer time

• Reduction of working time (RTT)

• Flexible work options (home/office)

Experience Requirements:

• 5+ year experience minimum in manufacturing/supply chain functions

• 3+ years of experience with Python

Other Requirements:

• Track record of scoping and managing data-science projects

• Experience developing WebApps (Javascript, Dash or RShiny)

• Ability to work in a global, distributed team

• Knowledge of Agentic AI, Generative AI, or knowledge graphs is a plus

Responsibilities:

• Build a strong Solutions roadmap for Manufacturing and Supply Chain

• Own the building and delivery of solutions from ideation to packaging

• Participate in the initial roll-out of Solutions (demos, implementation)

• Act as a go-to-person on Data Science Manufacturing and Supply Chain

• Support overall solutions engineering roadmap and technical research

Benefits:

• ALL - Heartist® Program

• Heartist® for Good Program (1 day volunteering)

• Sustainable Mobility Package / Zenride

• €11 meal vouchers

• Health insurance plan funded at 50%

Experience Requirements:

• > 5 years

• Proven (senior) experience in enterprise-scale Data/BI environments

Other Requirements:

• Strong expertise in Snowflake

• Experience with Tableau, Dataiku, and Airflow

• Advanced SQL and data modeling skills

• Experience in technical leadership and project team management

• English-speaking multicultural environment

Responsibilities:

• Operationally lead the Feature Team named OPEN

• Design, deliver & maintain products within the OPEN portfolio

• Ensure technical consistency and full functional coverage across the stack

• Monitor, analyze, and resolve incidents on products and solutions

• Participate in the animation of the Data Tech community

Benefits:

• Flexible work environment

• Growth & Impact

• Innovative AI Platform

• Collaborative Culture

Education Requirements:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business)

• Master's degree (MBA or M.S.) is a plus

Experience Requirements:

• 7-15 Years

• 7 - 10 years of experience in program or project management

• Minimum of 3 years focused on delivering technology solutions to BFSI clients

Other Requirements:

• Deep understanding of SaaS/PaaS delivery models

• Knowledge of regulatory frameworks governing the BFSI sector

• Professional certification (PMP, PgMP, PRINCE2) is a plus

Responsibilities:

• Take full ownership of large-scale PaaS implementation programs

• Act as the primary point of contact for client leadership

• Ensure all program aspects adhere to BFSI regulatory standards

• Guide and align internal cross-functional teams

• Proactively monitor program health and track key metrics

Benefits:

• Flexible work environment

• Growth & Impact

• Innovative AI Platform

• Collaborative Culture

Education Requirements:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business)

• Master's degree (MBA or M.S.) or professional certification is a plus

Experience Requirements:

• 7-15 Years

• 7 - 10 years of experience in program or project management

• Minimum of 3 years focused on delivering technology solutions to BFSI clients

Other Requirements:

• Understanding of SaaS/PaaS delivery models

• Understanding of regulatory frameworks in BFSI sector

Responsibilities:

• Lead Program Delivery for large-scale PaaS implementation

• Act as the primary point of contact for client leadership

• Ensure Compliance & Quality with BFSI standards

• Coordinate Cross-Functional Excellence

• Manage Performance & Risk

Benefits:

• Competitive compensation and equity participation

• Unlimited time off and flexible working hours

• Hybrid work culture

Education Requirements:

• Technical background in Computer Science, Engineering, or equivalent experience

Experience Requirements:

• 5+ years of product management experience

• At least 2 years focused on platform, infrastructure, or AI systems

Other Requirements:

• Deep familiarity with APIs and data pipelines

• Comfort working with SQL, Python, or BI frameworks

• Fluent in English

Responsibilities:

• Define and drive the AI platform roadmap

• Collaborate with Engineering Leads to scope and deliver platform infrastructure

• Design observability and analytics capabilities

• Optimize LLM performance and cost-efficiency

• Own integration strategy with Meta APIs and eCommerce platforms

Benefits:

• Work alongside an exceptional team

• Competitive compensation with equity participation

• Unlimited time off and flexible working hours

• Hybrid work opportunities

Education Requirements:

• BS or MS in Computer Science or related technical field

Experience Requirements:

• 5+ years of experience in hands-on software engineering roles

• Proven track record building and scaling enterprise systems using Python, AWS, Kafka, Postgres, and DynamoDB

Other Requirements:

• Experience with frontend engineering is a plus

• Prior experience with conversational AI applications is a strong plus

Responsibilities:

• Design, build, and launch production-grade conversational AI solutions

• Collaborate cross-functionally to define user journeys and metrics

• Experiment with AI-driven features like LLM-based agents

• Develop and maintain backend systems for scalability

• Mentor teammates and uphold engineering best practices

Benefits:

• Competitive pay

• Generous vacation allowance

• Remote-first culture

• Growth & learning opportunities

• Impactful work

Experience Requirements:

• Proven track record of meeting enterprise SaaS quota ($200k+ ACVs)

• Experience building ROI models and business cases

• Hands-on proficiency with MEDDPIC qualification

• Selling into regulated industries (BFS, Healthcare, Government)

• Operating in early-stage startup environments

Other Requirements:

• High grit and self-reliance

• Strong executive presence

• Ability to self-generate pipeline

• Consultative sales capability

Responsibilities:

• Meet and exceed annual enterprise SaaS quota

• Run value-based, consultative enterprise sales motions

• Navigate transformational AI adoption objections

• Rigorously qualify opportunities using MEDDPIC

• Build and shape early-market presence and territory strategy

Benefits:

• Competitive pay

• Generous vacation allowance

• Remote-first culture

• Growth & learning

• Impactful work

Education Requirements:

• Degree in Computer Science, Cognitive Science, Logic, or Engineering

Experience Requirements:

• 4–7 years in presales, solution consulting, or technical consulting

• Running discovery workshops

• Translating business needs into technical architectures

• Experience in enterprise SaaS, AI, or analytics

• Experience with financial services or insurance sectors

Other Requirements:

• Understanding of AI, rule-based systems, or reasoning engines

• Comfort with structured and unstructured data

• Excellent communication and storytelling skills

• Agile and self-directed

Responsibilities:

• Lead discovery sessions to understand client decision processes

• Design and deliver tailored proof-of-concepts and prototypes

• Build and deliver compelling technical demonstrations

• Support knowledge engineering and modeling of knowledge graphs

• Partner with Account Executives to craft solution proposals

Benefits:

• Competitive pay

• Generous holiday allowance

• Remote-first culture

• Growth & learning

• Impactful work

Education Requirements:

• Degree in a logic, analytical, or consulting-oriented field

Experience Requirements:

• 2–4 years in consulting, implementation, or business analysis

• Experience delivering software in enterprise environments

• Experience with rules engines or BPM platforms

• Domain experience in highly regulated industries

• Mentoring colleagues and leading training

Other Requirements:

• Strong understanding of LLMs and prompt-engineering

• Excellent analytical and debugging skills

• Ability to manipulate JSON and XML formats

• Highly organised and self-motivated

Responsibilities:

• Capture knowledge via workshops and expert interviews

• Lead end-to-end Rainbird platform implementations

• Build reasoning graphs, workflows, and test suites

• Act as a Rainbird platform expert and champion

• Support hiring, onboarding, and mentoring of the team

Benefits:

• Competitive package

• Remote work with flexible arrangements

• Innovative and collaborative scale-up culture

• Shape customer platform interaction

• Work at intersection of AI and enterprise automation

Experience Requirements:

• Previous experience in a customer-facing technical role

• Experience designing and implementing technical solutions

• Proficiency in Python, JavaScript/Node.js, or Go

• Practical experience with cloud platforms (AWS, GCP, Azure)

• Experience with data transformation and ETL processes

Other Requirements:

• Knowledge of API development and RESTful services

• Understanding of authentication protocols (OAuth, JWT)

• Experience with containerization (Docker, Kubernetes)

• Exceptional communication skills

Responsibilities:

• Design and deliver seamless integrations for client ecosystems

• Translate ambiguous requirements into tangible solutions

• Implement integration architectures and custom data layers

• Build connectors and middleware for third-party systems

• Develop proof-of-concept implementations and technical prototypes

Benefits:

• Medical, dental, and vision benefits

• Paid Time Off (PTO)

• 401K Matching Program

• Tuition Reimbursement

Education Requirements:

• College degree preferred

Experience Requirements:

• Minimum of 5-7 years in an outside new business development sales role

• Minimum of 5-7 years working for an automotive dealership as a Sales Director, GM or GSM

Other Requirements:

• 75% travel in the field

• Experience using consultative solution selling

• Experience growing market share through conquest sales

• Ability to negotiate and close major sales opportunities with executive level clients

• Experience using a CRM preferred

Responsibilities:

• Aggressively acquire new business strengthening and influencing key automotive dealer relationships

• Create activity by cold calling into competitive accounts daily

• Identify and define growth opportunities in the market for the business

• Develop an overall sales plan and forecast sales results

• Set clear, measurable performance goals to achieve assigned sales quota