L'Aventure Field Sales Chez TheFork : Devenez un(e) Chasseur/Chasseuse de bonnes adresses ! 💚

Rejoignez-nous et défendez la culture du restaurant !

Chez TheFork, nous transformons les repas en moments inoubliables. Leader européen de la réservation de restaurants, présent dans 11 pays, notre mission est de connecter les meilleurs restaurants du monde à une communauté de convives fidèles. Notre succès ? C'est le duo de choc :

📱L'app TheFork : L'outil préféré des Dîneurs pour trouver leur prochaine table.

💻 TheFork Manager : Notre solution logicielle innovante pour aider nos Partenaires Restaurateurs à digitaliser leurs opérations et booster leur chiffre d'affaires.

Nous sommes une équipe internationale et passionnée, les "Forkies", guidée par le Respect, la Responsabilité, la Croissance et notre conviction que nous sommes Mieux Ensemble. Sois toi-même, Engage-toi pleinement et Rends-le mémorable !

🔥 Vos Missions : Un Volume d'Action, Zéro Ennui !

Vous êtes l'ambassadeur/ambassadrice de TheFork, le moteur de notre expansion sur le terrain.

• Chasse Active & Quotidienne : Votre bureau, c'est la ville ! Après avoir ciblé des restaurants, vous êtes constamment sur le terrain. On vise minimum 10 Rdvs, assis une bonne heure avec le client. Et on pousse un max de portes: vous aimez ce volume, car chaque rencontre est une opportunité.
• De la Prosp au Closing : Vous contactez de manière proactive les propriétaires et responsables pour décrocher des rendez-vous afin de démontrer en direct comment TheFork Manager va révolutionner leur gestion de tables, optimiser leur remplissage et leur simplifier la vie au quotidien.
• Consultant(e) Stratégique : Vous écoutez les besoins du restaurateur, puis vous mettez en lumière les opportunités uniques qu'offrent notre logiciel et notre vaste réseau de convives. Véritable conseiller/conseillère, vous montrez la valeur ajoutée et le ROI.
• Objectif Réussite : Vous assurez un suivi structuré et rigoureux de vos prospects jusqu'à ce que l'accord soit signé et que le restaurant soit publié avec succès en ligne. Vous êtes responsable de leurs 3 premiers mois de lancement, avec l’appui d’un Account Manager et d’un Customer Product Success.

🌟 Qui Vous Êtes : L'ADN du Succès

Nous cherchons un(e) Field Sales conquérant, autonome et astucieux, prêt(e) à relever les défis de la vente en B2B dans le secteur de la restauration.

• Le Chiffre dans la Peau : L’objectif, c’est de dépasser l’objectif. Vous êtes allergique à l’échec, vous êtes réputé pour vos résultats. Vous êtes à l'aise pour conclure des accords lors d'un seul rendez-vous.
• Expérience Confirmée : Vous avez une expérience avérée en vente et en développement commercial, idéalement en B2B et/ou dans l'Hôtellerie/Restauration. Vous êtes efficace dans les négociations à court terme. Vos chiffres le prouvent.
• Tech & Food Lover : Vous êtes amateur/amatrice de gastronomie avec un fort intérêt pour les produits numériques et technologiques.
• Soft Skills au Top : Compétences persuasives, excellentes capacités d'influence et facilité à connecter avec n’importe qui, organisation hors pair et capacité à prospérer dans un environnement rapide. Goût du challenge.
• Langues : Français courant indispensable et bonne maîtrise de l'anglais.
• Outils : Maîtrise de suite Google et à l'aise avec les logiciels CRM

🚀 Ce que TheFork Vous Offre : Des Avantages Qui Font la Différence

Nous mettons les bouchées doubles pour nos Forkies !

• Sécurité & Récompense : Un CDI avec un salaire fixe compétitif et des primes déplafonnées pour récompenser votre performance.
• "Food Lover" Package : Des tickets restaurant pour chaque jour travaillé (pour goûter nos meilleurs restaurants, bien sûr !).
• Bien-être : Couverture d'assurance santé prise en charge, accès gratuit à l'application Calm et avantages liés au style de vie (sport, loisirs, voyages).
• Famille : Des politiques de congé parental (12 semaines entièrement rémunérées) et un soutien financier pour les événements familiaux (naissance, mariage, etc.).
• Croissance : Équipes internationales, environnement multiculturel et programmes d'apprentissage et de développement continus.

Nous croyons au mieux ensemble, et nous prônons un environnement inclusif pour tous, peu importe nos différences.Nous vous accueillons tel(le) que vous êtes. Si vous avez des besoins spécifiques, contactez-nous à AccessibleRecruitment@TheFork.com.

Pour en savoir plus sur TheFork, c'est par ici : https://www.careers.thefork.com

#LI-CO1

L'Aventure Field Sales Chez TheFork : Devenez un(e) Chasseur/Chasseuse de bonnes adresses ! 💚

Rejoignez-nous et défendez la culture du restaurant !

Chez TheFork, nous transformons les repas en moments inoubliables. Leader européen de la réservation de restaurants, présent dans 11 pays, notre mission est de connecter les meilleurs restaurants du monde à une communauté de convives fidèles. Notre succès ? C'est le duo de choc :

📱L'app TheFork : L'outil préféré des Dîneurs pour trouver leur prochaine table.

💻 TheFork Manager : Notre solution logicielle innovante pour aider nos Partenaires Restaurateurs à digitaliser leurs opérations et booster leur chiffre d'affaires.

Nous sommes une équipe internationale et passionnée, les "Forkies", guidée par le Respect, la Responsabilité, la Croissance et notre conviction que nous sommes Mieux Ensemble. Sois toi-même, Engage-toi pleinement et Rends-le mémorable !

🔥 Vos Missions : Un Volume d'Action, Zéro Ennui !

Vous êtes l'ambassadeur/ambassadrice de TheFork, le moteur de notre expansion sur le terrain.

• Chasse Active & Quotidienne : Votre bureau, c'est la ville ! Après avoir ciblé des restaurants, vous êtes constamment sur le terrain. On vise minimum 10 Rdvs, assis une bonne heure avec le client. Et on pousse un max de portes: vous aimez ce volume, car chaque rencontre est une opportunité.
• De la Prosp au Closing : Vous contactez de manière proactive les propriétaires et responsables pour décrocher des rendez-vous afin de démontrer en direct comment TheFork Manager va révolutionner leur gestion de tables, optimiser leur remplissage et leur simplifier la vie au quotidien.
• Consultant(e) Stratégique : Vous écoutez les besoins du restaurateur, puis vous mettez en lumière les opportunités uniques qu'offrent notre logiciel et notre vaste réseau de convives. Véritable conseiller/conseillère, vous montrez la valeur ajoutée et le ROI.
• Objectif Réussite : Vous assurez un suivi structuré et rigoureux de vos prospects jusqu'à ce que l'accord soit signé et que le restaurant soit publié avec succès en ligne. Vous êtes responsable de leurs 3 premiers mois de lancement, avec l’appui d’un Account Manager et d’un Customer Product Success.

🌟 Qui Vous Êtes : L'ADN du Succès

Nous cherchons un(e) Field Sales conquérant, autonome et astucieux, prêt(e) à relever les défis de la vente en B2B dans le secteur de la restauration.

• Le Chiffre dans la Peau : L’objectif, c’est de dépasser l’objectif. Vous êtes allergique à l’échec, vous êtes réputé pour vos résultats. Vous êtes à l'aise pour conclure des accords lors d'un seul rendez-vous.
• Expérience Confirmée : Vous avez une expérience avérée en vente et en développement commercial, idéalement en B2B et/ou dans l'Hôtellerie/Restauration. Vous êtes efficace dans les négociations à court terme. Vos chiffres le prouvent.
• Tech & Food Lover : Vous êtes amateur/amatrice de gastronomie avec un fort intérêt pour les produits numériques et technologiques.
• Soft Skills au Top : Compétences persuasives, excellentes capacités d'influence et facilité à connecter avec n’importe qui, organisation hors pair et capacité à prospérer dans un environnement rapide. Goût du challenge.
• Langues : Français courant indispensable et bonne maîtrise de l'anglais.
• Outils : Maîtrise de suite Google et à l'aise avec les logiciels CRM

🚀 Ce que TheFork Vous Offre : Des Avantages Qui Font la Différence

Nous mettons les bouchées doubles pour nos Forkies !

• Sécurité & Récompense : Un CDI avec un salaire fixe compétitif et des primes déplafonnées pour récompenser votre performance.
• "Food Lover" Package : Des tickets restaurant pour chaque jour travaillé (pour goûter nos meilleurs restaurants, bien sûr !).
• Bien-être : Couverture d'assurance santé prise en charge, accès gratuit à l'application Calm et avantages liés au style de vie (sport, loisirs, voyages).
• Famille : Des politiques de congé parental (12 semaines entièrement rémunérées) et un soutien financier pour les événements familiaux (naissance, mariage, etc.).
• Croissance : Équipes internationales, environnement multiculturel et programmes d'apprentissage et de développement continus.

Nous croyons au mieux ensemble, et nous prônons un environnement inclusif pour tous, peu importe nos différences.Nous vous accueillons tel(le) que vous êtes. Si vous avez des besoins spécifiques, contactez-nous à AccessibleRecruitment@TheFork.com.

Pour en savoir plus sur TheFork, c'est par ici : https://www.careers.thefork.com

#LI-CO1

Principal AI Systems Engineer — Agentic Platforms

The Moment

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we’re already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.

About Kindo

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We’re a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape the platform’s technical direction and long-term evolution.

The Role

You will define and evolve the architectural foundations of Kindo’s agent platform. This is applied systems engineering at the frontier of AI-native development, not ML research and not chatbot wrappers. You’ll work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and the platform primitives that determine what autonomous systems can reliably do.

This role requires invention and unusually strong technical judgment. Many of the paradigms for agentic systems are still emerging. You’ll continuously track the ecosystem, explore new approaches, prototype quickly, and decide what becomes the platform’s durable foundation. You will identify the highest-leverage architectural opportunities, the failure modes most likely to bite us, and the guardrails and abstractions that let the system scale safely.

Principal engineers at Kindo are builders and inventors who help determine what the future of agentic systems should look like, while ensuring the platform remains reliable, secure, observable, debuggable, and maintainable under real-world conditions.

What You’ll Build

• Agent execution architectures, including autonomous task loops, scheduling, triggers, control planes, and failure isolation
• Retrieval and memory architectures, including persistent, structured, and contextual memory systems
• Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes
• Tool-calling and integration frameworks for safe interaction with external services and enterprise environments
• Reliability, security, and operability foundations, including evaluation, observability, auditing, and recovery paths
• Core platform primitives and architectural patterns that enable entirely new autonomous capabilities safely

How You Build

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. At this level, you also help define the engineering paradigm itself: how we use autonomous agents and AI-driven workflows to compound velocity over time while minimizing slop, security risk, and architectural drift.

You build with discipline. You create boundaries, verification strategies, and operational guardrails so systems remain understandable and controllable as autonomy increases. You ensure the platform can evolve rapidly without losing reliability and security.

What We’re Looking For

We care far more about what you’ve built than what’s on your resume.

You:

• Have deep expertise designing and operating complex backend or distributed systems in production
• Have built and evolved platform-level architectures that remained durable under rapid change
• Have built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes
• Demonstrate exceptional architectural judgment around reliability, security, observability, and long-term system evolution
• Have invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness
• Actively track emerging tools, models, and approaches and translate the best of them into production systems
• Use AI as a core part of your engineering workflow, not as an occasional convenience
• Operate with exceptional ownership and take systems end-to-end, including long-term evolution

Technical requirements:

• TypeScript required, Python strongly preferred
• Strong SQL proficiency
• Experience with production infrastructure; Docker/Kubernetes experience is a plus
• Familiarity with enterprise security patterns is a plus
• Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus

Culture

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.

Compensation and Location

Compensation: $250,000–$330,000 base salary plus competitive equity
Location: Venice, San Francisco, Remote, or Hybrid

How to Apply

Send us:

• Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you’ve built. We want to see how you think, not just what you’ve done.
• A brief note on what excites you about agentic systems and where you think the hard problems are.
• Your resume, but know that the first two items matter more.

We’ll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.

Staff AI Systems Engineer — Agentic Platforms

The Moment

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we’re already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.

About Kindo

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We’re a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape how the platform evolves.

The Role

You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production. This is applied systems engineering with AI at the center, not ML research and not chatbot wrappers. You’ll work on agent execution frameworks, retrieval and memory systems, multi-model execution, and secure tool-calling integrations that interact with real enterprise environments.

This role also requires invention. Many of the patterns for agentic systems are still emerging. You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations. You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.

Staff engineers at Kindo are builders and inventors with strong architectural judgment. You help define both what we build next and which approaches become the system’s durable defaults.

What You’ll Build

• Agent execution systems, including autonomous task loops, scheduling, triggers, and control planes
• Retrieval and memory architectures, including context management, long-term memory, and structured memory
• Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes
• Tool-calling and integration frameworks for safe interaction with external services and enterprise environments
• Reliability, security, and operability foundations, including evaluation, observability, failure isolation, and recovery paths
• Core platform abstractions and architectural patterns that make new agent capabilities easier to build safely

How You Build

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. You develop pragmatic guardrails, verification strategies, and architectural boundaries to minimize slop, reduce risk, and keep systems safe as autonomy increases.

You also push the team’s defaults forward through better patterns, reusable workflows, and clearer architectural primitives, so the whole organization builds faster with fewer failure modes.

What We’re Looking For

We care far more about what you’ve built than what’s on your resume.

You:

• Have deep experience building and operating complex backend or distributed systems in production
• Have built LLM-powered or AI-native systems beyond demos, with real users, real constraints, and real failure modes
• Have strong architectural judgment around reliability, security, observability, and system evolution
• Have invented or introduced abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness
• Are comfortable operating in ambiguous frontier areas and validating ideas through rapid iteration
• Use AI as a core part of your development workflow, not as an occasional convenience
• Operate with high ownership and take systems end-to-end, including long-term evolution

Technical requirements:

• TypeScript required, Python strongly preferred
• Strong SQL proficiency
• Experience with production infrastructure; Docker/Kubernetes experience is a plus
• Familiarity with enterprise security patterns is a plus
• Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus

Culture

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.

Compensation and Location

Compensation: $210,000–$260,000 base salary plus competitive equity
Location: Venice, San Francisco, Remote, or Hybrid

How to Apply

Send us:

• Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you’ve built. We want to see how you think, not just what you’ve done.
• A brief note on what excites you about agentic systems and where you think the hard problems are.
• Your resume, but know that the first two items matter more.

We’ll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.

Senior AI Systems Engineer — Agentic Platforms

The Moment

The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, reliability, control, and security.

OpenAI acquired OpenClaw. Meta paid $2B for Manus. The agent platform layer is becoming one of the most important layers in the stack.

At Kindo, we’re already there. Our platform runs autonomous agents in production at real enterprises, automating DevOps and SecOps workflows with real permissions, real consequences, and real reliability requirements.

About Kindo

Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.

We’re a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape how the platform evolves.

The Role

You will design, build, and operate core systems that enable autonomous agents to function reliably in production. This is applied systems engineering with AI at the center, not ML research and not chatbot wrappers. You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.

This is also frontier work. Many of the patterns for agentic systems are still emerging. You’ll explore new approaches, prototype quickly, and turn what works into durable production systems. At the same time, strong distributed systems fundamentals still apply. These systems must be reliable, secure, observable, debuggable, and maintainable under real-world conditions.

What You’ll Build

• Agent execution systems, including autonomous task loops, scheduling, triggers, and control planes
• Retrieval and memory architectures, including context management, long-term memory, and structured memory
• Multi-model routing and orchestration across providers, balancing quality, latency, cost, and failure modes
• Tool-calling and integration frameworks for safe interaction with external services and enterprise environments
• Reliability, security, and operability foundations, including evaluation, observability, failure isolation, and recovery paths

How You Build

AI is a first-class tool in how we engineer. You use AI across design, prototyping, implementation, testing, debugging, and incident response, and you continuously refine workflows that increase leverage without sacrificing quality. You pair that velocity with discipline: guardrails, verification, and architectural boundaries that keep systems safe as autonomy increases.

What We’re Looking For

We care far more about what you’ve built than what’s on your resume.

You:

• Have built and operated complex backend or distributed systems in production
• Have built LLM-powered or AI-native systems beyond demos, with real users and real constraints
• Have strong judgment around reliability, security, observability, and failure modes
• Are comfortable operating in ambiguous frontier areas and validating ideas through rapid iteration
• Use AI as a core part of your development workflow, not as an occasional convenience
• Operate with high ownership and autonomy and take systems end-to-end

Technical requirements:

• TypeScript required, Python strongly preferred
• Strong SQL proficiency
• Experience with production infrastructure; Docker/Kubernetes experience is a plus
• Familiarity with enterprise security patterns is a plus
• Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus

Culture

Small team, high autonomy, high ownership. We move fast, prototype aggressively, and ship what works. We maintain high standards around reliability, security, and clarity. We value builders, explorers, and inventors who want to help define the future of agentic systems.

Compensation and Location

Compensation: $170,000–$220,000 base salary plus competitive equity
Location: Venice, San Francisco, Remote, or Hybrid

How to Apply

Send us:

• Your work. A portfolio, demo, GitHub profile, blog post, recorded walkthrough, or any evidence of AI systems you’ve built. We want to see how you think, not just what you’ve done.
• A brief note on what excites you about agentic systems and where you think the hard problems are.
• Your resume, but know that the first two items matter more.

We’ll move fast. The interview process is designed to see how you actually work, not quiz you on trivia.

About Kindo

Kindo is an agent automation platform purpose-built for DevOps and SecOps teams. We help organizations automate tedious, high-friction operational work—securely—using autonomous agents that can run in the background on schedules or triggers. We’re on-prem capable and built with enterprise security controls from day one.

We’re ~40 people, have strong customer traction, and are entering the next phase of growth where product clarity, focus, and execution velocity matter more than ever.

The Role

As a Forward Deployed Engineer at Kindo, you’ll use your deep technical expertise to collaborate with our most strategic customers to drive transformational AI adoption. You will collaborate closely with Kindo engineers to ship advanced, enterprise ready AI agents that solve real world business problems. 

You’ll work side-by-side with Product and Engineering to get deep into customer workflows and ship real solutions fast. Drawing on strong engineering instincts, hands-on experience with frontier AI, and comfort working directly with customers, you’ll turn messy, high-stakes business problems into reliable, production-ready systems—without compromising on safety or quality.

This is a foundational role as you would be FDE #1, helping to shape our forward-deployed future. This role is ideal for someone who’s excited to build, iterate, and grow alongside our customers.

Responsibilities

• Embed closely with customer teams, understand their needs, and guide adoption of what you build.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Conduct regular health checks, usage reviews, and roadmap alignment sessions.
• Anticipate potential issues and coordinate with support, product, and engineering teams as needed.
• Partner with Sales to support renewals, expansions, and success planning.
• Capture and relay customer feedback to influence product direction.
• Contribute to playbooks, diagnostic tools, documentation, and enablement assets.

What We’re Looking For (Required)

• 3+ years in a technical post-sales or customer-facing role (TAM, Solutions Architect, CSM with technical depth, etc.)
• Strong understanding of cloud infrastructure, SaaS, or DevSecOps environments.
• 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.
• Excellent communication skills - comfortable with both technical and executive audiences.
• Proactive mindset- you spot patterns, solve problems early, and take initiative.
• Collaborative nature- you know how to navigate cross-functional teams and build trust internally.

What We Offer

• Competitive equity package for early employees.
• Comprehensive health, dental, and vision insurance.
• Unlimited vacation and paid time off policies.
• Opportunity to work with world-class leadership in cybersecurity and AI.
• Fast-paced, entrepreneurial startup environment with a strong culture of ownership and innovation.

Company Culture

• High-performance mindset: We set ambitious goals and work with urgency.
• Extreme ownership: Everyone is responsible for their domain and takes pride in delivering results.
• Fast-paced and action-oriented: We prioritize speed and execution over perfection.
• Collaboration and innovation: We challenge each other, share insights, and push boundaries.
• Customer obsession: Everything we do is about making our customers successful.

Compensation

Base salary in the $120K–$150K range + bonus + early employee equity with meaningful ownership in a high-growth AI startup.