Director Mission Delivery and Operations

Superchat

At Superchat, we're rebuilding how businesses talk to their customers. The phone call, the contact form, the support ticket: all of it is being replaced by messaging and AI. We're building the platform that runs underneath. Founded in 2020, Superchat has become the platform of choice for 10,000+ businesses worldwide, from globally recognized brands like Allianz, Auto1, Enpal, Danone, and GASAG to the small businesses, dental practices, and one-person startups that need to look bigger than they are. Today, millions of messages flow through Superchat every single day. We started as a unified inbox: one place for every channel a customer might pick, WhatsApp, email, SMS, Instagram. Then ChatGPT happened, and the second chapter began: AI agents that respond across chat, email, and voice at the quality of the best human teams. We're 100 people, profitable, and have raised €18M in funding (last round 4.5 years ago, we've been growing on our own money since). Headquartered in Berlin. We're hiring a Director of Engineering to take operational leadership of our Engineering organization. You'll partner with the CTO on strategy, own people leadership across all engineering squads, and build the structures that let us scale. WHO WE WANT Experienced engineering leader. You bring 5+ years of experience leading engineering teams in B2B SaaS or product-led companies. Seen scale before. You have a track record of stewarding a team through a scaling phase and seeing the breakpoints first-hand. Technically credible. You come from a strong technical background (former Senior+/Staff level), read code comfortably, and can follow and contribute to technical architecture discussions. Builder of strong engineering systems. You have built career frameworks, calibration systems, and performance management processes - and run them with consistency and discipline. Clear communicator and strategic operator. You are a strong communicator who turns strategy into clear quarterly objectives and actionable plans for teams. High standards, low ego. You combine high standards with a low-ego, builder mentality and lead by example rather than hierarchy. Structured, calm, and execution-focused. You know how to scale execution quality and operational discipline without slowing teams dow WHO WE DON’T WANT Hands-on architect first. You still want to spend 30%+ of your time coding or personally owning architecture decisions instead of scaling teams and engineering execution. Needs a large support structure. You rely heavily on fully built HR or people operations structures to manage performance, hiring, and team development. First-time engineering manager. You are entering engineering leadership for the first time and have not yet experienced scaling teams and organizations firsthand. YOUR DAY TO DAY * You run regular 1:1s with Engineering Managers and select senior engineers to support growth, alignment, and execution * You lead growth conversations, performance reviews, and calibration sessions across the engineering organization * You own key parts of the hiring process - from interviewing and org design to closing strong candidates * You sponsor and prioritize tech debt reduction and long-term architectural investments together with engineering leadership * You review squad delivery progress, surface blockers early, and maintain a high quality bar across teams * You work closely with the CTO on org design, hiring strategy, and headcount planning * You coordinate roadmap priorities and engineering capacity planning together with the CPO STAKEHOLDERS CTO: Your manager and closest partner on strategy and org design CPO: Counterpart on the Product side Engineering Managers: Your direct reports People Ops: Partner on compensation and hiring processes WHY PEOPLE CHOOSE US Mission that matters. Real impact on small businesses, not abstract metrics Executive-level ownership. Opportunity to shape and scale the engineering organization during a critical growth phase Funded with conviction. $16.5M raised with a strong trajectory toward profitability Modern stack. Kotlin/Quarkus, AWS, TypeScript/React/Next.js, LangGraph for AI - with intentionally low tech debt for our stage High-impact leadership scope. Influence engineering strategy, org design, execution quality, and cross-functional collaboration end-to-end Berlin office in Prenzlauer Berg. Hybrid setup with 2 work-from-home days, team events, and fully stocked office Squad-based organization. Each squad owns its domain end-to-end with strong accountability and autonomy PMs report to the CPO, not Engineering. Product strategy stays focused, consistent, and clearly prioritized Engineers own technical decisions. Directors and EMs challenge, support, and sponsor decisions — but do not override engineering judgment Hybrid by design. Our Berlin office is the center of gravity, with 2 WFH days as the standard setup Direct feedback culture. Transparent, respectful, and candid communication across all levels of the organization Two career tracks. Clear long-term growth paths for both ICs (Junior → Staff) and Engineering Managers, with explicit reversibility between tracks Benefits & Culture * Choose between an Urban Sports Club/John Reed membership or a public transport/Dance subscription * Regular company and team events * Annual personal development budget of €500 for conferences, courses, books, career coaching, and more * An inclusive and exciting startup culture that enables fast professional and personal growth * Beautiful office in the heart of Berlin (Prenzlauer Allee 242) with free snacks, drinks, and top-notch equipment We want to build a community, not just a company. It’s important to us to create an environment where people genuinely enjoy spending time together - whether that’s through HYROX training, golfing, beer pong tournaments, running clubs, Warhammer, weekend activities, or whatever kind of community you’d like to help build here! We're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the description. At Superchat, we welcome diverse perspectives and people who think rigorously. Relocating to Berlin? We support you with practical relocation help. You'll feel home in no time. We look forward to your application! 🙂 With your application you agree to our privacy policy.

Vestiaire Collective

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact. What You Will Do Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem. Mid-Term Foundation (MLOps Lifecycle & Infrastructure): Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience. Long-Term Vision (Centralizing 360-Degree MLE Capabilities): Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms. Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems. Production Infrastructure: Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure. MLOps & Pipelines: Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases. Feature Stores: Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued. Strategic Builder Mindset: You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges. Collaboration & Engineering Hygiene: Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution. Nice-to-Haves: Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection. Vision, Edge & Optimization: Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT). Infrastructure & Observability: Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).

Toast

This hybrid role is based in Dublin, Ireland (Full relocation provided). Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Your mission is to drive architecture, technical strategy, and implementation of AI agents for Toast's Team area which is part of the Fintech line of business. You will be one of the most senior technologists in line of business. The Team area is a mission-critical space on which our restaurants rely to manage their staff and optimize their labor. Beyond being on the forefront of agent development, your scope will also include enablement and leadership for how software is developed at Toast through adoption of bleeding edge spec driven development and other paradigms.  A day in the life (Responsibilities) * Develop and drive an architectural vision to support the ambitious goals for agents and agent development * Be an active participant and an authoritative technical voice in FinTech product strategy discussions * Partner with the Team Management Director of Engineering and Sr. Director of Product to successfully deliver Team agent products from design to production * Work closely with other Senior Principal Engineers to further the agent patterns and ecosystem across Toast as a whole * Evolve an ever more efficient way of working through agents and spread it across Toast * Work directly with the product manager for the Team Agent space, collaborating to drive vision * Be hands on and actively participate in development on the Team Agent * Mentor and develop technical leadership across Team, and Fintech What you'll need to thrive (Requirements) * 15+ years experience designing and building highly scalable, mission-critical distributed and fullstack software systems * 10+ years experience building and operating SaaS products, ideally AWS hosted * 1+ years experience using the latest in coding agents  * A strong desire to lean all in on agentic development practices * Passion for building autonomous agents * Demonstrated ability to drive technical architecture for a company or highly scalable line of products * A desire to work not only with technologists but also product owners and business leaders * Ability and desire to draw big lines and boxes on a whiteboard paired with the ability to dig in and understand the ebb and flow of what the code is doing under load * Ability and desire to communicate and influence at the executive level What will help you stand out (Nonessential Skills/Nice to Haves) * Experience designing agentic products * Experience building systems that leverage LLMs and other ML models * Experience with enterprise integration using Apache Camel * Experience architecting event-driven distributed systems using Apache Pulsar * Experience defining test, build and deploy strategies * Solid understanding of workforce management * Solid understanding of restaurant operations #LI-HYBRID #BI-Hybrid   AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.