AI Jobs

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:

• salary

• equity

• healthcare insurance

• nice office

• generous paid parental leave

Other Requirements:

• appropriate work authorization

• happy 4 days office based

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 molecular biology, bioengineering, bioinformatics, or a related field

Experience Requirements:

• 5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies

Other Requirements:

• Deep knowledge of the biopharmaceutical R&D process, methods, and tooling

• Excellent analytical and communication skills

• Ability to build strong relationships with a variety of stakeholders

• Experience with machine learning (nice-to-have)

• Proficiency in Python and relevant data science libraries (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 customers to use Cradle’s platform

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 salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field

Experience Requirements:

• 5–7+ years in enterprise client-facing roles ideally in Life Sciences

Other Requirements:

• Deep understanding of biopharma R&D workflows

• Proven ability to lead complex, multi-stakeholder programs

• Strong relationship-building and executive presence

• Willingness to travel to customer sites (20%)

• Experience managing enterprise SaaS deployments (nice-to-have)

Responsibilities:

• Oversee post-sale success across global biotech and pharma customers

• Define and track portfolio-level success metrics and ROI

• Establish and lead steering committees

• Coordinate with Scientific Advisors for smooth project initiation

• Communicate customer feedback to drive product improvements

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• PhD in biochemistry, molecular biology, biophysics, bioengineering, or a related field

Experience Requirements:

• Demonstrated hands-on experience with microfluidics for biological applications

Other Requirements:

• Strong verbal and written communication skills in English

• Ability to run multiple projects simultaneously

• Experience with large-scale DNA library construction (nice-to-have)

• Experience with display platforms like yeast or phage (nice-to-have)

• Experience with flow cytometry and FACS (nice-to-have)

Responsibilities:

• Develop and optimize microfluidics-based workflows for protein screening

• Design and execute experiments for library construction and screening

• Drive projects independently from experimental design through data delivery

• Partner with ML team to define data requirements

• Communicate results and technical challenges across disciplines

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• MSc or advanced degree in Molecular Biology, Biotechnology, Bioengineering, or a related field

Experience Requirements:

• 5–7+ years in enterprise client-facing roles ideally in Life Sciences

Other Requirements:

• Deep understanding of biopharma R&D workflows

• Proven ability to lead complex, multi-stakeholder programs

• Strong relationship-building and executive presence

• Willingness to travel to customer sites (20%)

• Experience managing enterprise SaaS deployments (nice-to-have)

Responsibilities:

• Oversee post-sale success across global biotech and pharma customers

• Define and track portfolio-level success metrics and ROI

• Establish and lead steering committees

• Coordinate with Scientific Advisors for smooth project initiation

• Communicate customer feedback to drive product improvements

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• Advanced degree (MS or PhD) in life sciences, computer science, or a related field

Experience Requirements:

• 7+ years of science writing or science journalism experience

Other Requirements:

• Exceptional writing and interviewing skills

• Understanding of multi-channel content distribution

• Ability to work independently and ship content on deadline

• Experience in biotech, pharma, or scientific software (nice-to-have)

• Background in science journalism for major publications (nice-to-have)

Responsibilities:

• Act as an internal journalist to identify 'intellectual gold' from researchers

• Own and maintain the master editorial calendar

• Manage a 'bench' of elite freelance science writers and creators

• Serve as final gatekeeper for editorial excellence and scientific accuracy

• Partner with Growth and PR teams to maximize story reach