Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform
• Contributing to design and implementing QRT data store and its API
• Monitoring fetching processes and data health
• Integrating alternative datasets
• Supporting users (Quants & Traders)

Your present skillset

• 2+ years’ experience in a related field
• Advanced English, both written and verbal communication skills
• Knowledge of Python and Code Quality Theories 
• Ability to communicate and understand user needs
• Structured and unstructured data management expertise is a plus
• Knowledge of the financial data of equity/derivatives is a plus
• Intellectual curiosity to learn new technologies
• Capacity to work with autonomy within a global team

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

What you'll be doing

As our Senior Director for Business Development, you will have ownership over the following strategic domains:

Influence the go-to-market strategy: 

• Analyze & identify the optimal positioning to successfully deploy our science, models and products.

Develop Strategic Partnerships:

• Identify, negotiate, and manage strategic partnerships with key stakeholders in biopharma.

Revenue Growth and Target Achievement:

• Drive revenue growth by meeting or exceeding business development targets. Monitor and analyze sales performance metrics to inform strategic decisions.

Stakeholder Engagement:

• Actively promote Bioptimus at industry events, conferences, and through digital platforms.
• Develop & deliver compelling pitches and presentations to engage potential clients and partners.
• Maintain strong relationships with existing partners and stakeholders while continually expanding the company’s network.

Teamwork and Collaboration:

• Collaborate with cross-functional teams, including R&D, marketing, and product development, to ensure alignment of business strategies and goals.

What you'll bring

The successful candidate is a strategic thinker and a pragmatic builder, with a proven track record of scaling the business development function in a high-growth, technology-driven environment.

• Master Degree in Business or Science (or equivalent experience)
• Expert level in a relevant environment (selling to Pharma & Biotech) with a proven track record in terms of business impact
• Familiarity with AI models to accelerate early research, clinical development, trial optimization, biomarker discovery and diagnostics
• Understanding the biomedical ecosystem and the biomedical data lifecycle
• Understanding of SaaS / software business models
• Proven track record in meeting and exceeding aggressive sales targets
• Flexibility and creativity in solving complex customer problems
• In-depth knowledge and extensive network within large pharmaceutical R&D in the US/EU
• Excellent time management and record keeping skills
• Strong analytical, problem-solving, and decision-making capabilities
• Strong communication and interpersonal skills
• A ‘team-first’ kind of attitude
• Thrive in a dynamic, fast-paced environment
• Be fun to work with

How to stand out:

• You have previous experience in a high growth, VC backed company
• You have international and multicultural work experience
• You have a PhD in related field (e.g., Biology, Machine Learning, Artificial Intelligence)

The candidate journey

To be considered, please submit your CV in English.

We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

• Screening: Once you have applied, the hiring team will review your application. If your experience and skills align with the role, you will be invited to a 30-minute introductory call with the Hiring Manager to discuss your background, motivations, and the position in more detail.
• Interviews: Following a successful technical assessment, you will be invited to a series of interviews. The core stages of our process are outlined below. Please note that the order may be adapted and additional conversations may be included to ensure a comprehensive evaluation.

  • Live Case Study (1 hour): This stage may involve a live case study focused on technology, your sales experience, or a "Sell Bioptimus" exercise.

  • Tech / Product Oriented Interview (1 hour): This stage involves a discussion focused on the technical and product aspects of the role.

  • Tech Interview (30 min): Discuss our current technical setup and infrastructure with members of our Tech team responsible for the areas within this role's scope

  • Exec Interview: Meet with senior leadership to discuss your vision for the role and explore cultural alignment.

• Offer: Following the completion of all interviews, our hiring team will make a final decision and will be in touch to share the outcome. If the team would like to move forward, we will contact you to discuss the details of our proposed offer. Please note that an offer is contingent upon the successful completion of a reference check.

• Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you.

Why this is a unique opportunity

• A collaborative and mission-driven work environment.
• Competitive salary and equity package.
• Flexible work arrangements, including remote options.
• Opportunities for professional growth and leadership development.
• Shape the future of biology and AI by contributing to groundbreaking work.

A better internet, where privacy is the default, is possible. Building this better internet might seem daunting or even unthinkable, but at Proton, this is what we do every day.

Proton was founded in 2014 by a group of scientists who met at the European Organization for Nuclear Research (CERN). Our first product, Proton Mail, is now the world’s largest encrypted email service. Subsequent Proton products, such as Proton VPN, Proton Calendar, and Proton Drive, give our users full control over how and with whom their data is shared.

Today, Proton makes privacy universally accessible. Journalists from outlets like The Guardian and The New York Times, some of the world’s largest organizations, and people in more than 180 countries have signed up for over 100 million accounts. Our diverse and dynamic team is made up of more than 400 members representing over 40 different nationalities. While we are based in Geneva, Switzerland, we have offices in Zurich, Prague, London, Vilnius, Skopje, Taipei, and many more employees working remotely around the world.

Join one of Europe’s fastest-growing companies to help us solve challenging problems and build new products that will reach hundreds of millions of people. We want to create more than just one of the world’s most impactful tech companies; we want to create a new internet that serves the interests of all people. We need you, your voice, your ideas, and your ambition to make it happen.

About the position

Our Creative & Growth Studio is looking for a talented and eager Web & Visual Designer to join our passionate design team. You will work alongside experienced designers, marketers, and developers to help create and improve our storefront websites.

In collaboration with marketing, brand, content, and engineering teams, you will contribute to creating a best-in-class website experience for http://proton.me and http://protonvpn.com. Our goal is to delight visitors and guide them through Proton's privacy ecosystem. This is a great opportunity for a designer who is passionate about visual design, eager to learn UX best practices, and ready to apply their skills to real-world projects that impact millions of users.

Note: This is not a product design role. We are looking for a designer who focus on storefronts/marketing websites.

What you will do:

• Support the design process: Create concepts, wireframes, and high-fidelity web mockups, adhering to Web UX and UI standards (accessibility, usability, consistency, responsiveness).

• Execute user-first designs: Create visually appealing and engaging website elements that align with brand guidelines and conversion-oriented design principles.

• Build prototypes: Develop interactive prototypes to illustrate information architecture, user flows, and interface behaviors for review and testing.

• Ensure consistency: Apply modern UI patterns and interaction standards to ensure designs look great across desktop, tablet, and mobile devices.

• Collaborate: Work closely with marketing, content, design, and engineering teams to deliver high-quality user experiences as part of a larger workflow.

• Contribute to the Design System: Help maintain and expand our component-based Proton Design System by creating and updating components as directed.

Job requirements

• Experience: 4+ years of experience as a Web or UI Designer. Please include a link to your Portfolio.

• Design Skills: Ability to create web-optimized designs and visuals that respect a given brand/visual identity.

• User-Centered Mindset: A passion for creating intuitive experiences and a willingness to learn about user journeys and conversion optimization.

• Communication: Good ability to explain your design choices and ask questions to clarify requirements. You should be comfortable presenting your work to the team.

• Language: Excellent communication skills in English.

• Tools: Proficiency in industry-standard design tools, such as Figma and Adobe Creative Suite.

• Bonus Points: Familiarity with using AI tools within your creative process is a bonus. Experience with motion design, animation, or illustration is an added advantage.

Why join us? You will have the opportunity to contribute to the design of some of the most visited websites in Europe, gaining exposure to large-scale projects while working in a supportive, innovative environment.

Why should you join Proton?

• Be part of a movement - Proton is not just a product or service but a community-driven movement united by a shared vision of online freedom. Our services are open source, audited, and supported by community contributions. We give back to our community by maintaining core encryption libraries and by supporting other organizations furthering the same goals as us. Proton is free, open source, neutral, independent, and community first, while remaining financially sustainable.
• Work with smart and dedicated people - Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Join a strong brand - Our encrypted email service - Proton Mail - has grown to be a staple of online security and privacy. Proton has been featured in multiple popular television and film productions, such as Mr. Robot, Knives Out, Sounds of Metal, and more.
• Grow with us - We’re one of Europe’s fastest-growing startups, doubling in size every year. Our growth gives you limitless career and educational opportunities as well as the opportunity to work side-by-side with many world-leading experts in their fields.
• Have your voice heard - We value your opinion and encourage you to speak up and share your ideas and thoughts. At Proton, no problem is someone else’s problem. We collectively strive to do the right thing and be the undisputed best in the world at everything we do.
• Benefits – these vary by location and type of contract but expect support on your vacation, parental leave, refreshment if working from the office, learning and development opportunities, equity for shared success, flexible working hours, company events and team building activities.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-Onsite

À propos du poste

Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.

Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.

En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.

Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et

de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.

En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un

marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.

Responsabilités :

• Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
• Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
• Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
• Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
• Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
• Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
• Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
• Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
• Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
• Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales

Profil recherché :

• Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
• Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
• Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
• Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
• Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
• Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
• Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
• Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
• Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
• Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
• (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. 

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. 

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs 
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
• Fluency in French, bonus if you also have Spanish or Italian as another language

The eBPF Platform team owns the shared eBPF infrastructure inside the Datadog Agent, and is responsible for its reliability, performance, and evolution across a wide variety of Linux distributions and kernel versions. We build tooling and agent functionality for product teams utilizing eBPF (Network Performance Monitoring, Universal Service Monitoring, Cloud Workload Security, GPU Monitoring), enable new teams exploring eBPF, and centralize deep kernel expertise across the organization. The team contributes to open source projects such as btfhub and cilium/ebpf.

Datadog is investing heavily in GPU Monitoring to give customers deep visibility into GPU utilization, health, and performance across their infrastructure. The eBPF Platform team builds the agent-side foundation that makes this possible, from eBPF programs that capture GPU activity at the kernel level, to the metrics pipelines and validation infrastructure that ensure data quality at scale.

In this role, you will work at the intersection of eBPF, the Linux kernel, and GPU infrastructure. You'll contribute to GPU Monitoring capabilities within the Datadog Agent while also working across the broader eBPF platform, investigating production incidents, improving reliability, and helping shape the architecture of one of the most widely deployed eBPF solutions in the industry.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Contribute to GPU Monitoring feature development end-to-end, from ideation to implementation within the Datadog Agent
• Build and maintain shared eBPF functionality for product teams to use in their eBPF-based products
• Investigate and debug complex production issues that span the kernel, eBPF programs, and agent runtime
• Research, prototype, develop, and document solutions to hard problems in the eBPF and GPU monitoring space
• Provide technical input to product and architecture decisions

Who You Are:

• You have experience working with and developing in the Linux kernel, either using eBPF, as a kernel developer, or building low level programs in C
• You have significant experience building high throughput/low latency systems
• You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth
• You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love
• You have ability to work effectively in a team

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to

provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

As an engineering manager for the Training & Serving team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: distributed training of foundation models, serving at scale, designing the user experience. 

You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Manage and grow the Training & Serving team, directly managing 10+ engineers
• Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. 
• Work with our core platform teams to tailor Datadog's storage, infrastructure and data pipelines to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on work: Code reviews, design reviews and some coding

Who You Are: 

• Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager
• Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader
• Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
• You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders
• You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog

#LI-Hybrid

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. 

You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Lead a fast-growing organization around 20 people across 2 teams soon to be 3. 

• You will define the roadmap for your scope and work with ICs and managers to establish the technical direction

• Collaborate with the engineering team and product manager to define the future of the roadmap

• Create a strong organizational culture centered around our engineering standards and customer- focused approach

• Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring

Who You Are: 

• You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. 

• An experienced engineer and team player with strong technical skills to influence the technical direction of your teams

• A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers

• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity.

• You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

• Continuous professional development, product training, and career pathing

• Intradepartmental mentor and buddy program for in-house networking

• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

• Access to Inclusion Talks, our Internal panel discussions

• Free, global mental health benefits for employees and dependents age 6+

• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog Real User Monitoring (RUM) provides deep insight into frontend applications’ availability and performance, enabling customers to monitor user experiences in real time across web, mobile, smart TVs, and other platforms. As a Product Manager II for RUM, you will help customers onboard and expand their usage in scalable and efficient ways, drive product consistency, and build intelligence powered by availability and performance data. You will partner closely with enterprise customers and cross-functional teams to shape the product vision, strategy, and execution for one of Datadog’s fastest-growing offerings. This role offers the opportunity to influence a high-impact product at scale while deepening your expertise in frontend observability and user experience monitoring.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Identify customer needs and business opportunities through quantitative data analysis and qualitative customer research
• Translate insights into clear business cases, product requirements, features, and roadmaps
• Collaborate closely with engineering, design, data science, and other product teams to deliver high-impact solutions
• Partner with marketing, customer success, and technical writing to launch features that are intuitive and easy to adopt
• Communicate feature releases to internal and external audiences to support effective go-to-market and product discovery

Who You Are:

• You have 3+ years of Product Management experience, ideally in enterprise software serving a technical audience
• You bring prior engineering experience or a strong understanding of frontend technologies and troubleshooting workflows, such as diagnosing crashes, latency, and performance issues
• You demonstrate strong ownership and accountability for outcomes, partnering across sales, solutions, marketing, and other teams
• You are customer-focused and hold a high bar for product quality and user experience
• You communicate clearly and confidently, with the ability to present and defend ideas to technical stakeholders and executives

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis.  As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Design solutions for our different use cases. You will research and benchmark relevant   algorithms to find the best fit for our use-cases
• Leverage machine learning algorithms and statistical techniques to build new scalable product features
• Develop, deploy and monitor new and existing features to production
• Participate in our journal club by reading and presenting the latest academic research papers to the team
• Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems 
• Maintain and monitor the models, services and infrastructure owned by your team
• Participate in your team’s on-call rotation

Who You Are: 

• You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience
• You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines
• You can explain complex ideas and algorithms to non-technical audiences
• You care about code simplicity and performance
• You are excited to work on a user-facing product

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• Competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
• Implement models, run experiments at scale, and profile for reliability, performance, and cost
• Build simulation environments and replay infrastructure for agent training and evaluation
• Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
• Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity
• Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services
• Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts

Who You Are:

• You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus
• You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure
• You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration
• You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding)
• You can explain design and performance trade-offs clearly to both technical and non-technical audiences
• You have experience supporting or contributing to research publications

Bonus Points (any of the following):

• You have strong software engineering skills with experience in domains such as observability, SRE, or security
• You have experience bridging research prototypes and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• You have hands-on experience with GPU programming and optimization, including CUDA
• You have experience writing production data pipelines and applications
• You have experience building simulation or sandbox environments for agent training

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-hybrid

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
• Stay at the forefront of foundation models, world models, and RL-based agent research
• Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Who You Are:

• You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
• You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
• You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
• You are familiar with efficient training, post-training, and inference techniques for large foundation models
• You can explain complex models and research findings to both technical and non-technical audiences

Bonus Points (any of the following):

• Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• Experience writing production data pipelines and applications
• Hands-on experience with GPU programming and optimization, including CUDA

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-Hybrid

Datadog is seeking an extremely talented professional to drive product strategy, source, manage, and execute acquisitions, source venture investments. You will be a key partner to Datadog’s founders and startup founders and highly visible at the most senior levels of Datadog. The group reports directly to the CEO.

We are looking for an innovative and strategic thinker who is passionate about Datadog and the future of cloud services. The ideal candidate enjoys driving new product development ideas, likes to “roll up sleeves and get hands dirty”, is hungry for more responsibility, and puts the company’s interests first. Superb negotiation skills (or willingness to develop them) are essential. This role includes managing relationships that may be unconventional in nature and have broad implications across Datadog. The team is small and values authentic, strong-willed individuals who think creatively and proactively.

The ideal candidate will research and generate ideas for new markets to enter, prioritize objectives and plan internal activity, drive due diligence and valuation analysis, spearhead term sheet and contract negotiations, create and present strategic documents and recommendations, and support integration by partnering with key leaders.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Develop a deep understanding of Datadog’s products and potential new markets for further expansion
• Identify opportunities for M&A and Datadog Ventures through direct engagement with senior business leaders, entrepreneurs, and venture capitalists
• Work closely with senior product and engineering leaders to assess potential acquisitions and investments
• Partner with business and product teams to comprehensively assess expansion opportunities and build internal and external consensus
• Lead all pre-transaction diligence efforts
• Identify value creation opportunities and risks in potential transactions
• Bring transactions over the finish line
• Engage with the startup community, early-stage VCs, and key internal stakeholders Play a critical role in negotiating large, highly-complex partnerships with the major cloud hyperscalers
• Work with cross-functional groups within Datadog, including Product, Operations, Engineering, Legal, Finance, Tax, and Accounting teams

Who You Are:

• Demonstrated technical knowledge via either work experience (as a software engineer/product manager/VC/etc.) or through a Computer Science (or equivalent) degree, is required. 
• Some experience in financial modeling, forecasting, analysis, and financial reporting.
• Capable of building and maintaining a network of relationships to facilitate deal flow
• Self-starter who excels in technically-demanding, fast-paced, and fluid environments
• Ability to prioritize multiple stakeholders and projects with limited resources

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

WHAT YOU’LL DO

• Execute deal cycles from inception to close, navigating through various stakeholders within large organizations. Deal sizes typically range from 500K to $1M+.
• Develop and maintain strong relationships with key decision-makers at all levels of an organization.
• Drive value-based selling strategies, leveraging MEDPICC to effectively articulate our value proposition.
• Proactively identify and qualify new opportunities through targeted prospecting, networking, and market research efforts to continually build your pipeline.
• Create strategic growth opportunities for your existing customer base.
• Build strong cross-functional relationships with teams such as business development, marketing, deal desk, customer success & services.

• Minimum of 5 years of experience in Enterprise and Strategic sales, with proven successes in executing complex deal cycles and driving high-value sales opportunities.
• Strong understanding of value-based selling techniques and experience. Familiarity with Force Management’s sales training; Command of the Message and MEDDPICC is preferred
• Ability to research accounts, develop a point of view (POV) on the value your technology can drive for the account, and prioritize accounts across a territory to maximize bookings
• A demonstrated history of net-new prospecting and pipeline generation, both personally and in collaboration with BDRs and Marketing partners
• Executive presence with exceptional communication and presentation skills, able to effectively engage and influence executive-level stakeholders.
• Experience working with cross-functional teams and demonstrated ability to build strong internal relationships across various departments.
• Familiarity with navigating agency and technology partner ecosystems, with a demonstrated ability to leverage partnerships to enhance sales capabilities.
• Experience with Salesforce.com CRM or any other CRM utilized for sales pipeline management required.
• A proven connector in your daily life through social media and other mediums
• Prior experience in a startup, or emerging growth, technology company a plus
• Ability to travel to customer/prospect sites, marketing events, and to company and regional gatherings
• Experience working with brands such as Kerring, Loreal and Stellantis
• Italian, Spanish or Hebrew speaking is a bonus

Locations:

• Europe: Paris / UK / Germany / Remote (EU)

About the role

We are looking for a scientifically credentialed strategist to lead the post-sales journey for our pharmaceutical partners. In this role, you will be the bridge between our cutting-edge foundational models and the R&D pipelines of the world’s leading biopharma companies.

You will use your deep expertise in machine learning and computational biology to build credibility with stakeholders, identify new opportunities for model application within their pipelines, and translate customer feedback into our product roadmap.

What you'll be doing

As our Applied AI Scientist (Pharma Partnerships) you are the primary architect of value for our most critical pharmaceutical partnerships. You will operate at the intersection of computational biology, ML and commercial scale across two strategic domains:

1. Partnership Value Realisation & Growth

• Post-Signature Leadership: Orchestrate the partner journey immediately following contract execution. You will act as the Project Manager for the deployment, ensuring seamless onboarding and integration of our foundational models.
• Scientific & technical thought-leadership: Consult with client R&D teams (ranging from bench scientists and data science teams to Heads of R&D) to diagnose their specific therapeutic challenges. Identify key use cases where our AI foundation models can unlock high value to our customers research and therapeutic priorities.
• Commercial Adoption & Growth: Proactively identify opportunities to expand the scope of the partnership. Leverage your understanding of the client’s pipeline to suggest new use cases, therapeutic areas, or departments where our technology can drive value.

2. Product Intelligence & Roadmap Influence

• Voice of the Customer: Synthesize technical feedback and performance metrics from the field. Translate complex biopharma user requirements into actionable technical specifications for our internal Research and Product teams. Identify high value opportunities to enrich our model capabilities and biology applications offering.
• Gap Analysis: Collaborate with our machine learning engineers to identify data modalities or functional gaps in our current offering, directly influencing future product iterations.

What you'll bring

The successful candidate will have a ‘team-first’ attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring deep domain expertise in computational biology, ML and pharmaceutical R&D alongside strong hands-on business development skills.

Scientific & Technical Credibility

• Educational Background: PhD in Computational Biology, Machine Learning, Bioinformatics, Genomics, or a related field is required.
• Domain Expertise: Deep understanding of the biopharma R&D value chain (target discovery to clinical trials). You understand the specific pain points of drug developers and are able to translate ambiguous biopharma use cases into rigorous ML applications.
• Technical Fluency:
• Deep experience in biological data modalities, notably multi-omics (single-cell, transcriptomics, proteomics) and histopathology slides.
• Extensive knowledge in modern ML architectures and paradigms like Transformers (ViT), GNNs, foundation models with embedding-based prediction heads (e.g., ABMIL), interpretability methods, and model evaluation & validation principles.
• Proven experience in designing end-to-end ML solutions for complex biological problems, including problem framing, data strategy and model design & evaluation
• Strong fluency in Python and deep learning frameworks (PyTorch, JAX)

Relationship & Strategic Skills

• Stakeholder Management: Proven experience navigating complex, matrixed organizations (Big Pharma experience is a plus). You can present to a VP of R&D in the morning and troubleshoot with a bioinformatician in the afternoon.
• Consulting Mindset: You are not just a support agent; you are a trusted advisor. You have experience in roles such as Field Application Scientist (FAS), Solution Architecture, or Scientific Consulting.
• Feedback Synthesis: Ability to distill complex client complaints or requests into clear, prioritized product requirements.

How to stand out:

• Experience in a startup or innovative environment, showing adaptability and proactiveness.
• A strong existing network within Global Top 20 Pharma R&D.
• Experience specifically with "Foundation Models" or Generative AI in a biological context.
• Track record of high-impact publications (Nature, Cell, NeurIPS).

The candidate journey

To be considered, please submit your CV in English.

We believe in a transparent and collaborative interview process. We need to find a fit for both you and the company. Here is what you can expect after submitting your application:

• Screening: Once you have applied, the hiring team will review your application. If your experience and skills align with the role, you will be invited to a 30-minute introductory call with the Hiring Manager to discuss your background, motivations, and the position in more detail.
• Interviews: Following a successful screening, you will be invited to a series of interviews:
  • Case Study (60 min): You will prepare a mock kick-off document for a client engagement with us to evaluate the model on their desired use-cases, including suggesting interesting use cases for our model and outlining the project plan. We want to see how well you understand the potential use cases for foundation models in the clinical stage of pharma development cycles, and how you would manage a key strategic partner through the deployment and delivery process.
  • Scientific Deep Dive Presentation (30 min): You will briefly present a piece of scientific work to a small panel of our researchers and engineers, led by a senior member of our technical team, and answer Q&S after (10-15 min presentation, 15-20 min Q&A). The content is up to you: it can be your own past research, a relevant paper in the field, or extra points if it’s a specific Bio-AI use case you’ve worked on with a biopharma. The goal is to assess your technical fluency, your ability to facilitate scientific debate, and how you communicate complex concepts to experts.
  • Executive Interview (30 min): A comprehensive discussion with member(s) of our Senior Leadership. This session moves beyond technical competency to focus on long-term vision, values, and mutual potential. This is an opportunity for you to get to know the company better as well.
• Offer: Following the completion of all interviews, our hiring team will make a final decision and will be in touch to share the outcome. Please note that an offer is contingent upon the successful completion of a reference check.
• Onboarding: We are happy to have you joining the team! Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you.

Why this is a unique opportunity

• A collaborative and mission-driven work environment.
• Competitive salary and equity package.
• Flexible work arrangements, including remote options.
• Opportunities for professional growth and leadership development.
• Shape the future of biology and AI by contributing to groundbreaking work.

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

À propos du poste

En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme.

Responsabilités

• Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes.
• Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement
• Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions.
• Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires.

Profil recherché

• Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique
• Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.
  
  

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

À propos du poste

En tant que membre de l'équipe d'IA appliquée chez Anthropic, vous serez un·e architecte avant-vente dont l'objectif est de devenir un conseiller technique de confiance qui aidera les grandes entreprises à comprendre la valeur de Claude et à définir leur vision de la manière dont elles peuvent intégrer et déployer Claude avec succès dans leur infrastructure technologique. Vous combinerez votre expertise technique approfondie avec des compétences en contact avec la clientèle pour concevoir des solutions LLM innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées en matière de sécurité et de fiabilité.

En étroite collaboration avec nos équipes de ventes, de produits et d'ingénierie, vous guiderez les clients depuis la découverte technique initiale jusqu'à la réussite du déploiement. Vous mettrez à profit votre expertise pour aider les clients à comprendre les capacités de Claude, à développer des évaluations et à concevoir des architectures évolutives qui maximisent la valeur de nos systèmes d'IA.

Responsabilités :

• Travailler en partenariat avec les responsables de comptes pour comprendre en profondeur les besoins des clients et les traduire en solutions techniques, en veillant à l'adéquation entre les objectifs commerciaux et la mise en œuvre technique
• Agir en tant que conseiller·ère technique principal·e auprès des entreprises clientes tout au long de leur parcours d'adoption de Claude, de la découverte à l'évaluation initiale en passant par le déploiement. Vous devrez assurer la coordination interne entre plusieurs équipes et parties prenantes pour assurer la réussite des clients
• Assister les clients qui développent des projets avec l'API Claude et Claude pour le travail
• Créer et diffuser un contenu technique convaincant adapté à différents publics. Vous devrez être capable d'aller de l'approfondissement technique pour les équipes de développement et à des conversations axées sur la valeur commerciale avec les dirigeants.
• Guider les décisions d'architecture technique et aider les clients à intégrer efficacement Claude dans leur infrastructure technologique existante.
• Aider les clients à élaborer des cadres d'évaluation pour mesurer les performances de Claude dans leurs cas d'utilisation spécifiques.
• Identifier les modèles d'intégration courants et apporter des perspectives à nos équipes Produit et Ingénierie.
• Se rendre occasionnellement sur les sites des clients pour des ateliers, des approfondissements techniques et l'établissement de relations
• Maintenir une connaissance approfondie des derniers développements en matière de capacités LLM et de modèles de mise en œuvre

Profil recherché :

• Plus de 5 ans d'expérience dans des postes techniques en contact avec les clients, tels qu'architecte de solutions, ingénieur commercial ou responsable de compte technique
• Expérience de travail avec des entreprises clientes, dans le cadre de cycles d'achat complexes impliquant de multiples parties prenantes
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en communication technique avec la capacité de traduire les exigences des clients entre les parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• À l'aise avec Python
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Excellentes compétences en matière de communication et de relations interpersonnelles, capables de transmettre des sujets complexes en termes facilement compréhensibles à un ensemble varié de parties prenantes externes et internes. Vous aimez collaborer avec d'autres organisations, faire des compromis et équilibrer des priorités concurrentes.
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.

Date limite de candidature : Aucune. Les candidatures seront examinées au fur et à mesure de leur réception.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native French speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles.

En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité.

Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise.

Responsabilités

• Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients.
• Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production.
• Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise.
• Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie.
• Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA.
• Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement.
• Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux.
• Être un champion de la mission d'Anthropic sur le terrain.

Profil recherché :

• Vous avez plus de 4 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature.
• Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle.
• Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production.

Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes.

• Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité.
• Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives.
• Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative.
• Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout.
• Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout.
  
  

  ---

  
  
  As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Native French speaker with fluent English proficiency
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.

Research Scientist in Science

Founded in 2014, InstaDeep is today an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. InstaDeep has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. We have created an environment that ensures a challenge by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that’s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies. In our mission to stay ahead of the curve, we are proud to partner with firms such as BioNTech SE, Google DeepMind, NVIDIA and Intel, and world-class universities such as MIT, Oxford, UCL, and Imperial College London. We are also an NVIDIA Elite Service Delivery Partner and Google Cloud Partner.

Are you a Research Scientist in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.

If so then keep reading…. 

As a Research Scientist in Science, you’ll be a part of the Research department, 

The Research Scientist in Science must accomplish the following:  

• Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
• Engage and assist in the identification of research directions
• Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
• Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments 
• Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. 
• Contribute to the team’s publication efforts.
• Bridge the gap between the research and product teams by integrating new fundamental research into applied projects. 

Requirements:  

• Ph.D. degree in Computer Science, Machine Learning or a related field.
• Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
• Experience in developing and debugging in Python3 or similar languages.
• Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
• Experience in planning and conducting research works
• A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
• Excellent communication skills and collaborative spirit.

Nice to haves

• 2-5 years experience

• Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
• Reinforcement Learning, Computer Vision, or Natural Language Processing experience.

Our Diversity, Equity, and Inclusion commitments

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this by other than by joining our team? 

At present, we operate in a hybrid work model of two days mandatory a week in the office. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note you will require the legal right to work in the location you are applying for. 

If you have any further questions please do not hesitate to contact us at: talent@instadeep.com

We are looking for a Care Navigator/Support Coordinator to join our team! Masters degree in a behavioral health field and licensure or certification as a counselor, social worker, or psychotherapist, psychologist required. Fully bilingual (written and spoken) in both English and French. Additional language(s) fluency such as spoken and written French Canadian, Spanish etc. is a plus!

This Global Care Navigator will assist our members through their mental health care journey and connection to care, while ensuring our members are incredibly satisfied with the Spring Health experience. The Global Care Navigator exhibits a deep understanding of all patient and clinician workflows and is highly responsive, resourceful, empathic, and professional. They have creative problem-solving skills and a passion for delivering a high-quality experience. This role will report to the Manager of the Global Team in Clinical Operations. 

The working hours for this role will be: Monday-Friday; 1pm - 9pm CEST

What you’ll be doing: 

• Utilize active listening and written communication skills to interact with and support patients by maintaining availability during shifts for incoming phone, chat, and emails in the language(s) in which you are fluent. 
• Manage all care coordination needs, including but not limited to: assisting with platform sign up, troubleshooting tech issues, gathering intake information, scheduling and canceling appointments, and explaining the services available. 
• Conduct a clinical needs assessment to develop a plan of action for each member and refer to an appropriate level and modality of care (Spring Health counseling provider or other mental health services.) 
• Assess and synthesize information using good clinical judgment to manage member crises such as suicide risk by providing in-the-moment support, triage, safety planning, and follow up. 
• Provide consultation, psycho-education, empathy and motivational assistance as needed to address mental health, substance use, and family/relationship concerns. 
• Engage in CIR intake and/or coaching services for global members and customers
• Identify and problem-solve issues that serve as a barrier or disruption to care, technical issues, and more submitted by members and providers. 
• Research and document crisis resources for members in different countries
• Review and learn from current and new workflows, via a combination of online and live training, and policies, which will be written and spoken in English. 
• Summarize all patient interactions, writing in English within Spring Health’s online documentation systems. 
• Coordinate with other internal teams in identifying, reporting, and resolving issues as needed, to ensure a smooth member experience. 
• Participate in staff meetings, case consultations, training, and special internal projects such as customer-facing initiatives as assigned and available. 
• Follow Spring Health policies and maintain all confidentiality, compliance, and ethical standards.

What we expect from you: 

• Counselor, Psychotherapist, or Social Worker with a masters degree and appropriate credentials in your US state or country of residence. 
• Minimum of 2+ years of direct clinical care experience post licensure. 
• Excellent written and verbal English and French communication skills and comfortable interacting with members worldwide. 
• Must be comfortable using multiple computer platforms at the same time and learning new systems 
• Motivated to go above and beyond for members to provide a high-touch experience and outstanding customer service. 
• Ability to thrive in a fast-paced and ambiguous environment as we build out our global presence
• KPIs will include: metrics on connection to care, productivity, and member satisfaction

The target base range for this position is €55,575 – €70,395 and is part of a competitive total rewards package including benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.

Spring Health partners with Deel to offer benefits for full-time employees outside of the US.

• Supplementary health insurance coverage. Coverage includes top level packages available per provider, as well as dependent coverage, if required. The exact benefit plan details will vary based on your country’s requirements.
• Spring Health Perks:
  • Flexible PTO - Our Flexible PTO program enables team members to take PTO throughout the year without a prescribed limit, as long as you are effectively fulfilling your job responsibilities and meeting performance expectations. We expect Spring Health team members will take at least 10 days (a total of two weeks) off every year.
  • Access to Spring Internal - 20 no-cost therapy sessions for you and your dependents via Spring Internal within 60 days of start date.
  • Professional Development Reimbursement - Professional Development Reimbursement available for relevant learning and development expenses.
  • “Spring Renewal” Sabbatical Program - When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave.

Hypergrowth meets impact

What to expect working here:

• You will be held accountable to an exceptionally high bar and impact
• This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
• You will be empowered to set your own boundaries and asked to adapt them in critical moments when the company needs you
• You will create processes & products that have never existed before
• You will have very direct conversations and receive continuous feedback to push you to become the most thriving team member and performer you can be
• Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows

And…

• You get to be surrounded by some of the brightest minds in the field  
• You get to learn and grow at an extremely accelerated pace
• You will experience transparency, integrity, &  humility from leadership 
• You will be empowered to constantly challenge the status quo
• You get the space to experiment & innovate
• You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly
• You will become more resourceful and resilient
• You get to be part of a winning team that opens doors in the future

Please submit your CV in English.

#LI-Hybrid

About DV & Scibids

"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.

About the Role

The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work. 

As a Senior Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution.

This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer!

On a day to day basis, your responsibilities will include:

• Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring.
• Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality.
• Working with massive datasets (billions of ad impressions/month) and millions of variables.
• Solving non-routine analysis problems (not handled by off-the-shelf ML solvers).
• Solving challenging scaling/engineering problems as our system produces thousands of ML models per day.
• Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement.
• Identifying and automating any repetitive process taking place at Scibids, including cases where this means developing some AI routines replacing “human common sense.”
  
  

Qualifications

Minimum qualifications:

• MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning).
• 2 to 5 years of professional experience in Data Science with Python/C++.
• Passion for automation and data-driven decisions.

Preferred qualifications:

• Proven professional experience in a SQL-like language.
• Experience deploying machine learning models into production environments.
• Previous experience leading technical projects or mentoring team members.
  
  

Technical stack relevant to the position

• Python
• SQL
• Kubernetes, Docker, Github
• Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore...

Others

• Contract type: full-time position (French “CDI”).
• Based in Paris (75008) – Champs-Elysées
• Preferred availability: ASAP
• Compensation: competitive package including fixed salary, annual bonus and company equity
• Exact figures depend on profile.

#Hybrid 

The Teads Data Science Summer School, established in 2018, is a premier, intensive program designed to significantly advance the data science and machine learning skills of students and young professionals.

This hands-on, one-week program combines theoretical concepts with practical application, providing participants with a comprehensive understanding of data science and equipping them with sought-after, cutting-edge skills from the industry. Teads, a leader in digital innovation, is dedicated to fostering excellence through industry collaboration and education.

If you are passionate about data and enjoy coding, this is an exceptional opportunity to propel your career. During the one-week program, you will work with our highly talented data scientists and engineers, navigating the complete lifecycle of real-world data science projects. Using gigabytes of realistic advertising data, you will apply advanced data science techniques to solve actual industry challenges on a massive scale. A great opportunity for gaining practical knowledge and experience.

To qualify, you must possess strong coding skills and a foundational knowledge of data science and machine learning.

The program is entirely FREE, which includes all activities, lunches, coffee, and snacks. However, participants must commit fully to the entire duration of the program.

Who will benefit most from attending the Data Science Summer School?

The Teads Data Science Summer School is designed for enthusiastic individuals with some existing knowledge in machine learning and data science, gained through university studies, online courses, or involvement in platforms like Kaggle.

We encourage applications from final-year undergraduates, master's, and Ph.D. students in computer science or related fields, as well as recent graduates and professionals seeking to advance their expertise. Although prior experience is advantageous, the program is structured to accommodate all skill levels, allowing both beginners and advanced practitioners to learn and contribute effectively. 

Essential prerequisites include a basic grasp of machine learning and data science concepts and proficiency in coding, as the summer school focuses heavily on practical, hands-on projects. While experience with Python and TensorFlow is helpful, it is not mandatory.

What to Expect?

Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.

The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops utilizing large and sparse datasets.

The official language of the summer schools, including all presentations and materials, is English.

Why Learn From Us?

At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:

• Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
• Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
• Production-Ready Algorithms: We don't keep cutting-edge deep learning algorithms on the shelf - we deploy them to make a difference
• Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
• Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
• Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
• In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
• In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
• End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
• Continuous Learning: We foster a culture of learning, both internally and externally 
• Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs 
• Global Collaboration: We're part of a world-class data science and software engineering organization with a global presence

Timeline 

• Registration open: 20. 4. 2026 - 14. 6. 2026
• Selection notification: 19. 6. 2026
• Summer School: 29. 6. 2026 - 3. 7. 2026

Registration open: 20. 4. 2026 - 14. 6. 2026Selection notification: 19. 6. 2026Summer School: 29. 6. 2026 - 3. 7. 2026

Traditional password managers are no longer enough to keep up with threats, leaving critical gaps across enterprise tech stacks. Dashlane Omnix™ is modernizing password security and closing these gaps by taking a proactive approach. We empower enterprises with day-one password protection and visibility, automating risk response and securing employee credentials inside and outside the vault to protect against credential-based breaches.

Product Management at Dashlane

Do you get energized by problems that sit at the intersection of security, trust, and everyday user behavior? Are you the kind of PM who digs deep into data, talks directly to customers, and turns ambiguous challenges into clear, compelling roadmaps? At Dashlane, we are working to redefine what credential security looks like — not as a passive storage product, but as an intelligent system that actively prevents risk, surfaces threats reliably, and proves its value to the businesses that depend on it. AI is central to how we are building that future: shaping our product strategy, accelerating how we deliver, and creating experiences that are smarter and more proactive for our customers. If that sounds like the kind of mission you want to wake up for, we'd love to meet you.

About the role

As a Product Manager at Dashlane, you will own the roadmap for one of our most strategically important product areas — credential protection that underpins our security promise. You will work daily within an Engineering Product Design triad along with staff engineers and data analysts to ship high-quality solutions that help businesses prevent credential risk, remediate threats, and demonstrate measurable security improvements to their stakeholders. Your work will span the full product lifecycle: from understanding the nuanced needs of enterprise admins and end users, through defining crisp problem statements and hypotheses, to shipping and iterating rapidly. You will bring business judgment to prioritization decisions, translate customer and market insights into a compelling roadmap rationale, and be accountable for real outcomes.

Location-specific information

This role is based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

At Dashlane you will:

• Own the roadmap for a set of product capabilities — including credential sharing, vault security features, and risk surfacing — keeping it continuously prioritized, clearly justified, and connected to measurable business and customer outcomes.
  
  
• Apply strong business judgment to prioritization: understanding the commercial, competitive, and customer dimensions of every tradeoff, and grounding decisions in technical realities to build a shared, well-reasoned roadmap - communicating a compelling rationale to your team and stakeholders.
  
  
• Bring deep customer empathy to every decision: consistently imagining yourself in the shoes of both the administrator and end user, thinking holistically about their experience and requirements — and balancing that perspective thoughtfully against the pragmatism of MVPs and incremental delivery.
  
  
• Drive discovery and delivery: Working with your EPD triad, validate problems before investing in solutions, scope work small to learn fast, help manage the team's backlog, and ship iteratively with a consistent cadence and high quality bar.
  
  
• Become the domain expert on your product area — deeply understanding how admins and end users think about credential security, what drives insecure behaviors, and how Dashlane can provide a demonstrably better alternative.
  
  
• Define clear success criteria at every level — from sprint goals and user stories to KPIs — and hold yourself and your team accountable for driving impact.
  
  
• Partner with Engineering Management — co-facilitate team rituals and ceremonies, bringing energy and shared ownership to the team's ways of working. While the EM leads on the people side, the PM and EM are united by the same goal: a high-performing, motivated team that ships great work.
  
  
• Collaborate fluidly with engineers — engaging confidently with technical topics and architectural discussions, partnering with engineering early in the solution discovery phase, and constructively challenging solutions, without needing to be an engineer yourself.
  
  
• Collaborate with PMs — work closely with fellow product managers to break new ground on innovative projects, share strategic thinking, exchange feedback, and continuously improve how we work as a product team — including staying at the forefront of how AI can sharpen our craft, accelerate discovery and delivery, and help us stay ahead of the competition.
  
  
• Work across functions — partnering closely with Design, Data & Analytics, Product Marketing, Customer Support, and Sales to ensure every product change ships as a complete, well-considered experience with the right go-to-market and support in place.
  
  
• Communicate with clarity and conviction — aligning your team on strategy and priorities, sharing results (the good and the bad) with broader stakeholders, and keeping your manager informed with focused, concise updates.

Requirements:

• 3–6 years of experience in a product management role, or an equivalent combination of experience and education.
  
  
• Demonstrated ability to own a product area end-to-end: from problem definition and prioritization through to delivery and outcome measurement.
  
  
• Strong business acumen — able to connect product decisions to commercial outcomes, understand market dynamics, and frame roadmap priorities in terms of customer and business value.
  
  
• Comfortable engaging with technical topics and engineering discussions: able to understand how systems work, ask sharp questions, and challenge solutions constructively — without needing an engineering background.
  
  
• A genuine interest in AI backed by hands-on practice — actively weaving AI into the day-to-day craft of product management, with the confidence to identify and champion where it can create meaningful value inside the product for our customers.
  
  
• Strong written and verbal communication skills in English — able to write crisp problem statements, clear 1-pagers, and compelling roadmap rationale.
  
  
• Experience working with data and analytics to inform decisions — able to define metrics, interpret results, and identify actionable next steps.
  
  
• Experience conducting customer research and translating qualitative and quantitative insights into product decisions.
  
  
• Ability to manage a team backlog, write well-crafted user stories, and apply agile practices to maintain a healthy, forward-looking delivery rhythm.
  
  
• You must be legally eligible to work in France.

We're Also Looking For:

• Genuine curiosity about security, privacy, or enterprise SaaS — you don't need to be a security expert, but you should find these problems intrinsically interesting. Bonus points if you're excited by longer-term challenges on the horizon, like the implications of agentic browsing for credential security and what it means for the future of credential security.
• A bias toward action and "progress over perfection" — comfortable making decisions with incomplete information and iterating quickly.
  
  
• Experience working on B2B products and familiarity with the dynamics of selling to and serving enterprise admins and IT teams.
  
  
• A collaborative spirit and low ego — as comfortable deferring to others' expertise as you are asserting your own point of view.
  
  
• Intellectual honesty: willing to share results transparently, learn openly from failures, and update your thinking when the evidence points another way.

The Community You Will Join:

Our Product Marketing team imagines the ideal experience for our community and works backwards, creating innovative products that delight our guests and hosts. They deeply understand the needs of our users and translate these into a product strategy that combines strong product thinking and deep research. They partner with talented cross-functional team members across engineering, design, operations, data science, and more, leading teams to execute a shared vision. They are incredibly detail-oriented, hands on and excellent communicators, capable of crafting compelling stories for both internal and external audiences. 

The Difference You Will Make:

The International Product Marketing team is part of the worldwide Product Marketing team and we are looking for entrepreneurial product experts who are ready to jump in, roll their sleeves up and integrate with local teams, while maintaining close alignment with the global organization. This role will help build out the new functional area outside of the US and will be instrumental in shaping the organization as it evolves. The cross functional model we use at Airbnb requires close partnerships  across multiple teams – this role requires a highly collaborative, flexible individual who can influence and collaborate with teams across the world.

As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will play a pivotal role in understanding the needs, pain points, and wants  of users and translate those insights into innovative product features, capabilities and marketing strategies. The ideal candidate will possess a deep understanding of the travel industry at a market and broader regional level, and have a proven track record of driving product innovation. You will collaborate with the global business and country teams to develop partnerships that accelerate existing and new businesses. You will drive features in major releases and for test and learn pilots, after having successfully championed for customization and features for your target country/region. You will also determine how they are communicated to the public and the media in your region in partnership with the communications and marketing teams. You are responsible for the success of Airbnb products throughout their life cycle — from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

This role is based either in London or Paris (or within easy commuting distance of these cities). 

A Typical Day: 

• Build deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape and be capable of synthesizing in a cohort product story input from multiple stakeholders and sources.
• Work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses.
• Implement best-in-class product development and management practices.
• Maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams.
• Advocate for and execute new products that deliver impact for our business and users.
• Communicate concisely and influence outcomes across all levels of the company, including country and regional executive teams
• Drive alignment across product teams (Technology, Design) and key cross-functional partners (Business, Supply, FP&A, Marketing, Global Operations, Customer Support, Trust, etc.) to ensure initiatives are prioritized for wider roll-out or piloted to test and learn
• Define goals and success with clearly measurable objectives and key results for your area.
• Build and seamlessly integrate partnerships in your country/region that expand existing businesses and build new ones.
• Navigate regulatory and government requirements in partnership with Policy/Comms and regions/markets.
• Craft the product narrative and marketing strategies that communicate the benefits and features of our products both internally and externally in collaboration with comms and other cross functional partners.
• Develop and deliver engaging product demos to press, showcasing key features and functionalities.

Your Expertise:

• 8-12 years of product management experience.
• Fluency in English and at least one other European language (strong preference for Spanish, French, or German) due to market needs.
• Demonstrated track record of product leadership. 
• Comfortable with doing individual contributor product management work.
• Success in building and scaling global consumer products and ecosystems that people love.
• Experience creating product messaging and delivering to customers and the media.
• Entrepreneurial track record of taking an idea to reality – start up experience a plus while capable of operating in a larger organization.
• Ability to effectively use data and perform business analysis to support product strategy/decisions.
• Capable of driving execution across teams in a fast-paced environment.
• Highly collaborative and results oriented.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

About the role

We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.

What you'll be doing

As a Biology Data Quality Engineer, you will own the following tasks:

• Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). Ensure data integrity, consistency, and accuracy through rigorous quality checks. Design and implement automated data quality pipelines to streamline data validation and identify potential issues early in the data processing workflow.
• Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. Curate datasets to enhance their usability for machine learning.
• Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical stakeholders. Communicate and synchronize with external data providers.
• Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. Generate regular reports on data quality metrics and trends.
• Data Source Evaluation: Evaluate and validate external public data sources, ensuring they meet our quality standards and are suitable for inclusion in our foundation model training.
• Continuous Improvement: Stay up-to-date with the latest data quality best practices and tools in the biological domain. Propose and implement improvements to our data- quality assessment processes and pipelines.

What you'll bring

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.

• Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
• Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
• Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
• Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
• Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
• Educational Background: MSc in Biology, Computational Biology, Bioinformatics.

How to stand out:

• Computational Pathology Data Expertise: Experience in machine learning analysis of histology images.
• Cloud expertise: Experience working with AWS.
• Data Annotation Experience: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
• Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
• Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)

The candidate journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
2. Technical Assessment: Given the technical nature of the role, you will be invited to complete a timed (up to 1 hour and 30 minutes) technical assessment on a dedicated platform. This stage consists of a short set of Python exercises designed to assess your coding proficiency.
3. Interviews:
   • Hiring Manager (30 min): A call with the Hiring Manager to discuss your background, motivation, and expertise. This will include a deep dive into your technical skills, including your experience with coding and cloud environments.
   • Data Curation Project (Take-home): Based on the outcome of the previous call, you will be assigned a Data Curation homework. This assignment covers one or more key data modalities and consists of the submission of Python code and a detailed report about your work.
   • Assignment Presentation & Technical Q&A (60 min): You will present your take-home assignment to a broader team. You are also welcome to include a brief presentation of your past experience. This session consists of a 30-minute presentation followed by a 30-minute Q&A to discuss your homework and probe your deeper technical expertise.
   • Executive Interview (30 min): A comprehensive discussion with our Senior Leadership. This session moves beyond technical competency to focus on long-term vision, values, and mutual potential.
4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

Why This is a Unique Opportunity

You will:

• Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
• Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
• Work in a collaborative, innovation-driven environment with top researchers and industry experts.

And benefit from:

• A collaborative and mission-driven work environment.
• Competitive salary and equity package.
• Flexible work arrangements, including remote options.
• Opportunities for professional growth and leadership development.
• Shape the future of biology and AI by contributing to groundbreaking work.

About the opportunity 

We are looking for a Senior Data Scientist to join a team of applied research.

The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers.
The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. 
Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes.

What will you do?

As a Data Scientist, your mission will be to:

• Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.
• Bridge Research & Engineering: Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.
• Own the Lifecycle: Lead the end-to-end process—from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.
• Experiment Freely: Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.

What will you bring to the team?

• The Foundation: An advanced degree (MSc/PhD) in a quantitative field or equivalent "in-the-trenches" industry experience.
• The Toolkit: 4–5 years of experience in applied research, specifically deploying ML algorithms into high-throughput online environments.
• The Hybrid Edge: Strong software engineering fundamentals; you don’t just design models, you understand how they fit into the code stack.
• Critical Thinking: The ability to dismantle a scientific paper, critique its methodology, and implement its core findings effectively.
• Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity.

Please submit your CV in English.

We care about you 

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

#LI-Hybrid

Full-time In-person

Our Mission

At Interstellar Lab, we are building a future full of life, on Earth and beyond.
We advance plant cultivation and science through AI-powered autonomous greenhouse systems that enable precise and controlled plant growth. Our solution provides sustainable, high-performance production of botanicals — enhancing terrestrial biodiversity, resource efficiency, and natural ingredient quality—while preparing life for multi-planetary expansion. On Earth, our BioPods provide optimized, low-impact cultivation for the beauty, fragrance, pharmaceutical, and nutraceutical industries. In space, we conduct microgravity plant research to reveal fundamental insights into growth, adaptation, and biochemistry—driving spin-off innovations for Earth applications and supporting long-duration missions in Space through partnerships with agencies and commercial providers.

About the Role

As Director or VP of Sales (poised to become Chief Commercial Officer), you will lead commercialization with a plant-science-driven strategy. You will manage two distinct yet synergistic commercial streams:

• Primary focus – Sustainable plant production on Earth: Drive sales of BioPods and recurring services to large enterprises in cosmetics, fragrance, perfume, nutraceuticals, and pharmaceuticals. Position BioPods as the leading solution for controlled-environment, sustainable cultivation that boosts metabolite yields, ensures batch consistency, minimizes environmental footprint (near-zero water/pesticide use), and delivers premium, traceable natural ingredients.
• Separate strategic track – Space program opportunities: Independently pursue customers and partners for microgravity plant research collaborations. Target the same industries (or their R&D divisions) plus space-focused entities to fund and co-develop experiments on upcoming orbital platforms—exploring low-gravity effects on plant physiology, nutrient uptake, phenotyping, genetic responses, and bioactive enhancement—to unlock proprietary insights that accelerate Earth-based optimization while building our space program revenue.

You will engage at the CEO and C-level with confidence, own end-to-end commercial strategy across both tracks, and report directly to the CEO on segmented revenue, pipeline health, and growth metrics.

Responsibilities

• Develop and execute a high-impact sales strategy for Earth-based BioPod deployments, securing large-scale contracts for sustainable, high-value plant production.
• Separately cultivate a dedicated space-program pipeline: identify and qualify partners interested in sponsoring or collaborating on microgravity plant science experiments, leveraging synergies for terrestrial R&D benefits.
• Qualify leads, negotiate, and close complex deals—including BioPod hardware + long-term services on Earth, and research/partnership agreements for space-based studies.
• Maintain a segmented, robust pipeline: lead generation through industry networks (beauty/pharma for Earth; R&D/innovation + space stakeholders for partnerships) to contract signature.
• Deliver accurate, trackable revenue forecasts and KPIs (split by Earth contracts vs. space milestones/partnership funding), with direct CEO reporting.
• Represent Interstellar Lab at targeted events: plant science, cosmetics, pharma, and ingredient conferences for Earth sales; life-sciences and microgravity research forums (U.S. and Europe) for space opportunities.

Profile / Qualifications

• 7+ years of B2B sales leadership in cosmetics, fragrance, nutraceuticals, pharmaceuticals, or plant-derived ingredient supply chains—with strong knowledge of plant science, bioactive/metabolite production, and sustainable sourcing practices.
• Demonstrated success closing complex, seven-figure+ deals with Fortune 500-equivalent companies.
• Established C-level network in target industries; proven ability to engage R&D/innovation leaders on advanced plant research and cross-sector opportunities.
• Experience owning full commercial P&L and scaling revenue from <$5M to >$20M in tech-enabled or high-growth settings.
• Entrepreneurial mindset to establish scalable processes in a startup; adept at handling dual-market strategies (mature terrestrial vs. emerging space).
• Fluent English (native/bilingual); Bachelor’s in Business, Life Sciences, Plant Biology, Agronomy, or related field; MBA a plus.
• Bonus: Background in agtech, space intersections, microgravity biology, or industry-funded scientific partnerships.

Compensation

Competitive fixed salary + uncapped commission based on revenue milestones (Earth contracts + space partnership/funding achievements), plus equity in a mission-driven, high-growth company.

Equal Opportunity

Interstellar Lab is an equal opportunity employer and does not discriminate based on race, color, national origin, gender (including pregnancy, childbirth, or related conditions), sexual orientation, gender identity/expression, age, protected veteran status, disability, or other legally protected characteristics.