Benefits:

• Flexible workplace plan

• Remote work options

• Adaptable schedules

• Training

• Mentorship

Other Requirements:

• CV/Resume

• Tailored Cover Letter

Responsibilities:

• Redefine engineering processes

• Support automotive innovators

• Collaborate cross-functionally

• Solve complex challenges

• Advancing automotive system design and calibration

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• At least 1 year of experience in customer service

• Ideally in B2B SaaS or consumer products

• Proficiency in English at a professional level

Other Requirements:

• Ability to work daily shifts (09:00 AM to 17:00 PM) on a shift-based schedule

• Experience in building automations and workflows would be an advantage

• High energy, proactive mindset, and a readiness to assist

Responsibilities:

• Handle customer inquiries across support channels

• Resolve issues quickly and accurately

• Contribute to a seamless overall customer journey

• Build and maintain support automations

• Collaborate closely with the development team

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Education Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field

Experience Requirements:

• 4+ years of experience as a Data Analyst or in a similar analytical role

• Proficiency in SQL for data extraction and manipulation, dbt

• Strong experience with data visualization tools (e.g., Lightdash, Tableau, Power BI, Looker)

• Solid understanding of statistical analysis and experimental design

• Experience with scripting languages (e.g., Python, R) for data analysis

Other Requirements:

• Excellent analytical, problem-solving, and critical thinking skills

• Ability to translate complex data insights into business recommendations

• Bonus: Master's degree, cloud platform experience (GCP, AWS), knowledge of machine learning

Responsibilities:

• Collect, clean, and process large datasets from various sources

• Perform data analysis to identify trends, patterns, and anomalies

• Develop and maintain ETL pipelines, dashboards and reports

• Design and execute A/B tests

• Collaborate with product, engineering and marketing

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 2+ years hands-on with LLMs in production

• Has built evaluation systems, not just written prompts

• Strong technical skill set

• Systems thinker

• Clear communicator

Other Requirements:

• Experience defining how AI quality works at scale

Responsibilities:

• Own end-to-end quality of all AI outputs across the app

• Design and build our evaluation framework (automated tests, loops, scoring)

• Create, version, and optimize prompts for every use case

• Build and maintain test datasets that catch regressions

• Hire and lead a team of prompt engineers and eval specialists

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 4+ years shipping production full-stack applications

• Strong Python, Node.js, and React skills with focus on clean architecture

• Experience with LLM tool calling, function definitions, and prompt engineering

• Solid product thinking regarding technical decisions and user experience

• Comfortable navigating large codebases and understanding service boundaries

Other Requirements:

• Track record of shipping independently while collaborating well

• Strong code review skills

• Comfortable using AI tools to accelerate development

Responsibilities:

• Create tools/functions that LLMs can reliably call

• Implement the UI for these tools working with designers

• Build retry logic, fallbacks, and self-correction mechanisms

• Instrument everything with tracking and logging

• Develop background workflows that chain multiple operations

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 3–5+ years in creative strategy, performance marketing, or paid social roles

• Proven record of driving performance through creative direction

• Strong analytical mindset regarding CTR, CVR, CPA, and ROAS

• Skilled in briefing and collaborating with copywriters, designers, and editors

• Strong hands-on copywriting ability

Other Requirements:

• Deep understanding of what makes ads convert (hooks, emotions, storytelling)

• Highly organized with ability to bring structure to creative process

• Bonus: Experience building creative systems or managing a creative team

Responsibilities:

• Organize and manage the entire creative process

• Brief copywriters, video editors, designers, and UGC creators

• Sign off on final creatives and deliver approved assets to ad buyers

• Run structured creative testing frameworks

• Analyze creative performance metrics and provide clear direction

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 2–5+ years in influencer, affiliate marketing or partnerships strategy

• Proven ability to identify creators and run campaigns driving ROI

• Strong negotiation and relationship management skills

• Analytical mindset to track, optimize, and report results

• Fluent in English

Other Requirements:

• Hands-on self-starter comfortable building processes from scratch

• Visionary able to define strategy and execute it

Responsibilities:

• Own and execute the global influencer and affiliate strategy

• Identify, vet, and onboard creators and high-quality affiliate partners

• Negotiate contracts, commission structures, and partnership terms

• Track, analyze, and report on performance iterating for revenue

• Collaborate with creative and performance teams for paid ads

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 3+ years of experience in performance media buying

• Proven track record of scaling paid social campaigns

• Strong judgment around budget allocation and prioritization

• Deep understanding of creative-driven performance in paid social

• Comfortable operating with high autonomy and accountability

Other Requirements:

• Clear communicator with a builder mindset

• Google Ads experience is a plus

Responsibilities:

• Own paid social strategy and execution, primarily on Meta

• Manage and allocate budgets across channels to maximize impact

• Decide when to scale, pause, or reallocate spend

• Unlock and manage scale for campaigns

• Partner with creative to form hypotheses and test new angles

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• 2+ years hands-on Google Ads experience in high-spend environments

• Proven success scaling budgets €30K/day plus

• Strong understanding of attribution & performance metrics (ROAS, CPA, LTV)

• Data-driven, analytical, and highly autonomous

Other Requirements:

• Experience with Meta Ads or other platforms is a plus

Responsibilities:

• Launch, optimize, and scale Google Ads campaigns

• Spot growth opportunities through data, testing, and experimentation

• Own testing across keywords, bidding, audiences, creatives & landing pages

• Work closely with creative & CRO teams to build winning ad assets

• Track performance via dashboards and clearly communicate insights

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• Strong foundation in animation principles (timing, easing, etc.)

• Solid experience working independently in Adobe After Effects

• Experience translating static designs into polished motion

• Product-focused mindset with experience in demo and product visuals

• Understanding of how motion and video support the funnel

Other Requirements:

• Ability to refine motion workflows and best practices across the creative team

Responsibilities:

• Create motion graphics, product visuals, and demo videos

• Animate static assets into motion sequences (UI flows, explainer animations)

• Collaborate with designers, marketers, and product teams

• Translate briefs into engaging motion concepts

• Maintain consistency across motion styles and platforms

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Experience Requirements:

• Experience in product or technical leadership

• Hands-on product development experience (design, engineering, or building)

• Technical understanding and ability to collaborate with engineering teams

• Data fluency to find insights and prioritize based on evidence

Other Requirements:

• Coding experience is a plus

• Collaborate with OpenAI and Anthropic applied engineering teams

Responsibilities:

• Own Brain AI end-to-end (roadmap, team, execution, outcomes)

• Lead a team of engineers and designers

• Ship weekly and iterate fast

• Get involved with the product hands-on (write prompts, wireframes)

• Scope ruthlessly and validate with users and metrics

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Experience Requirements:

• Extensive industry experience in developing back-end systems in a modern cloud environment

Other Requirements:

• The Python programming language and its ecosystem (FastAPI, uv, ruff, pyright, …)

• Databases and big data systems

• Production systems for machine learning applications

• Building containerized backend systems (Docker, Kubernetes)

• Highly-available distributed cloud systems

Responsibilities:

• Designing and developing a service-oriented decoupled web application

• Architecting ways to manipulate and store biological sequence data

• Architecting APIs across which we interact with machine learning models

• Providing technical leadership for software engineering process

• Collaborating with biologists, machine learning experts, and scientists

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• PhD in bioengineering, bioinformatics, molecular biology, structural biology, or a related field

Experience Requirements:

• 5+ years of experience in a scientific role directly related to protein engineering in industrial biotech or biopharma

Other Requirements:

• Proficiency in data analysis using Python and relevant libraries

• Deep knowledge of the protein engineering R&D process

• Demonstrated interest in AI-guided protein design approaches

• Experience with customer-facing roles in biotech (nice-to-have)

• Experience with applying machine learning to protein engineering (nice-to-have)

Responsibilities:

• Advise on identifying protein optimisation projects

• Translate scientific goals of projects into objectives for the Cradle platform

• Understand customer assays and workflows

• Ensure quality/formatting of customer data is suitable for machine learning

• Train scientists to use Cradle’s platform

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Experience Requirements:

• 4–7 years in events or field marketing, with significant experience in biotech, pharma, or life sciences

Other Requirements:

• Experience conceiving and executing community events from the ground up

• Deep knowledge of biopharma industry conferences

• Strong project management skills

• Excellent communication skills

• Scientific background (nice-to-have)

Responsibilities:

• Own Cradle's annual events calendar and strategy

• Conceive and produce Cradle-hosted workshops, symposia, and dinners

• Build programming that positions Cradle scientists as thought leaders

• Leverage existing network to connect Cradle with KOLs

• Lead end-to-end execution for priority events

Benefits:

• Competitive compensation

• Health insurance coverage

• Frequent office and social events

• Your birthday is a free day

• Annual public transit & sport activity allowance

Experience Requirements:

• 5+ years of professional experience within product-oriented companies

• Experience evolving in Agile/Scrum development cycle

• Excellent understanding of service-oriented architecture

• Strong skill set in C# and experience developing Restful APIs

• Experience data modelling with NoSql and SQL databases

Other Requirements:

• Fluent in French and English

• Experience with Micro service & Docker architectures

• Experience developing and deploying products on Amazon AWS

• Strong analytical skills

• Ability to work in fast paced start up Agile development environment

Responsibilities:

• Implement features defined by product managers & designers

• Design, develop & deploy high quality software using Agile methodology

• Work with SQL and no-SQL databases

• Work on the Amazon AWS Cloud platform and associated services

• Participate in Agile sprint planning, demos, and peer code reviews

Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program with employer matching contribution

• Frequent office and social events

• Your birthday is a free day

Experience Requirements:

• Proven experience building production-grade agentic systems

• Hands-on experience with LLM context patterns (RAG, context windows)

• Proficiency in Python, SQL, and ETL patterns

• Experience with vector databases and semantic search

• Experience setting up LLM evaluation workflows

Other Requirements:

• Foundational ML knowledge

• Fluent in French and English

• Ability to balance expensive LLMs with deterministic logic

Responsibilities:

• Architect and implement interaction logic for multi-agent ecosystems

• Design and build data pipelines for AI queryability

• Handle real-time data access at scale

• Build clean, fast interfaces for AI orchestrator context access

• Implement strict validation layers to prevent hallucinations

Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program with employer matching contribution

• Frequent office and social events

• Your birthday is a free day

Education Requirements:

• Bachelor’s degree in Finance, Mathematics, and/or Statistics

Experience Requirements:

• 2–3 years of experience in financial analysis

• Ability to perform complex analyses related to financial forecasting

• Practical experience in M&A processes and due diligence

• Experience working with multiple foreign currencies

• Experience working in a SaaS environment

Other Requirements:

• Advanced knowledge of Excel and Google Suite

• Knowledge of English is required

• Strong and advanced analytical skills

• Knowledge of SQL is an asset

• Good professional judgment

Responsibilities:

• Participate in monthly, quarterly, and annual closing processes

• Maintain, update, and optimize the company’s financial model

• Prepare weekly, monthly, quarterly, and annual reports

• Analyze dashboards, performance indicators, and financial ratios

• Perform strategic data exploration analyses to support decision-making

Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program with employer matching contribution

• Frequent office and social events

• Your birthday is a free day

Experience Requirements:

• 2+ years of hands-on experience with automation platforms

• Proven ability to work with APIs and integrate systems

• Experience interviewing stakeholders to understand workflows

• Strong prototyping skills

• Experience with AI agent frameworks (LangChain, AutoGPT)

Other Requirements:

• Fluent in English and ideally French

• Basic scripting/coding ability (Python, JavaScript)

• Familiarity with SaaS tools (Slack, Notion, Jira)

• Background in process optimization or operations

Responsibilities:

• Identify repetitive tasks and workflow inefficiencies across teams

• Document and prioritize a backlog of automation initiatives

• Build proofs of concept using AI agents and automation platforms

• Deploy working solutions and iterate based on feedback

• Track time saved and error reduction to demonstrate ROI

Benefits:

• Company bonus (up to 15K€ per year)

• 38 days of holidays/year (+3 days offered by lempire)

• Alan Blue: Comprehensive 100% premium medical coverage

• Swile Meal Tickets

• Navigo Card: 100% covered

Education Requirements:

• Study in a top business school / or have a meaningful background

Experience Requirements:

• 1 or 2 years of experience in a similar role

• Already have set-up a CRM and automation for your company

• Strong interest in SaaS and the Sales automation space

• Operations, sales or marketing experience

• Already used a CRM like Hubspot/Pipedrive/Salesforce

Other Requirements:

• Speak English & French

• Curious & love to solve problems

• Doer & want to have an impact

Responsibilities:

• Own sales operations

• Lead high-impact initiatives with multiple stakeholders

• Build no-code automations to eliminate repetitive tasks

• Partner with data and tech teams to develop effective solutions

• Drive growth as a strategic consultant

Benefits:

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Visa sponsorship

Education Requirements:

• Bachelor's degree in a related field or equivalent experience

Experience Requirements:

• 5+ years of experience in sales/revenue operations, strategy, or related functions

• Deep experience with GTM systems like Salesforce and business intelligence tools

• Strong analytical skills with demonstrated ability to translate data into actionable insights

• Experience project managing new processes with customer-facing teams

• Track record of driving forward high-growth sales organizations

Other Requirements:

• Ability to navigate ambiguity

• Excellent communication skills

• Experience in enterprise software and fast-paced startup environments preferred

Responsibilities:

• Design and implement processes that improve the efficiency and productivity of our sales team

• Provide frontline process and systems support and troubleshooting to GTM teams

• Work closely with our Sales teams to ensure accurate Salesforce data hygiene

• Partner with our systems team to optimize and implement new Salesforce workflows

• Analyze sales performance metrics and develop insights