At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you a commercially driven professional with a passion for helping businesses grow? Are you excited by the idea of scaling Wolt’s commerce solutions and building strong relationships with partners across Malta? If yes, we’d love to meet you!
At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver almost anything in your city in minutes. Today, our products are used by 55+ million registered users who order from 200,000+ merchants across 30+ countries.
To support our expanding merchant offering, we are scaling our Commerce Platform, which consists of two core products.
Wolt Commerce Platform Products in a Nutshell
Wolt Drive – A delivery-as-a-service solution (DaaS) enabling merchants to add fast, reliable last-mile delivery to their own ordering channels.
Wolt Storefront – A white-label online ordering platform that helps merchants create branded digital stores with seamless checkout and increased conversion.
The Drive & Storefront Account Specialist role focuses purely on acquiring new partners for both products - selling the value, closing the deals, and handing partners over to onboarding teams.
What you’ll be doing
As Commerce Platform Sales Manager, your mission is clear: identify, pitch, and close new merchant partnerships for Wolt Drive and Wolt Storefront. You will build a strong pipeline, run a highly structured sales process, and secure high-quality, scalable partnerships.
Day-to-day in this role you’ll:
Own the full outbound sales cycle
Systematically explore and prospect the market to uncover new partnership opportunities.
Initiate and lead outreach to restaurants, retailers, and e-commerce merchants across verticals.
Deliver compelling product pitches for both Drive and Storefront, tailored to merchant needs.
Negotiate commercial terms and close deals that drive sustainable growth.
Manage a strong, disciplined pipeline
Keep a structured pipeline with clear stages, next steps, and revenue potential.
Prioritize accounts based on strategic value, scalability, and readiness to adopt Commerce solutions.
Work toward monthly targets with precision and consistency.
Craft winning sales materials
Build and refine pitch decks, case studies, and proposals to support high-impact conversations.
Translate product capabilities into clear merchant value propositions.
Collaborate with internal teams
Coordinate with onboarding and operational teams to ensure a smooth handover after closing.
Share market insights with Product, Ops, and Support — without owning implementations or account management.
Our humble expectations
You’ll succeed in this role if you:
Have 2–4 years of experience in sales, business development, field sales, retail partnerships, or similar roles.
Have a proven track record of closing deals and consistently hitting sales targets.
Are a natural hunter — proactive, persistent, and driven by pipeline momentum.
Possess excellent communication and pitching skills, with the ability to simplify complex solutions.
Use data to support negotiation and refine sales decisions.
Can adapt quickly in a fast-changing environment and maintain high ownership.
Have an interest in e-commerce, last-mile logistics, or digital retail solutions.
Are fluent in English (and local language when required).
Next steps
If you're excited about driving growth, managing key business relationships, and contributing to the success of leading commerce solutions, apply below! Along with a competitive salary and benefits, you will be eligible for our stock option plan.
Due to the upcoming holiday period, our recruitment activities will be operating at a reduced pace. We will continue to accept applications; however, you may not receive an update on your candidacy until early January. We appreciate your understanding and look forward to reviewing your application in the new year.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
About Us At SILVARE, we’re a dynamic team achieving remarkable results. We’ve built a reputation for delivering fast, impactful results that keep our clients coming back, many of whom are some of the biggest names in tech.
What Μakes Us Different We’re easy to talk to, we get straight to the point and we’re all about making things happen. We’re proud of the strong relationships we build, both with our team and our clients. We believe in keeping our people happy, whether it’s through improving benefits, having open conversations about their projects or just being there when they need us. It’s a supportive environment and culture that helps both us and our people thrive. If you’re ready to work on exciting projects, grow alongside industry leaders and make a real impact, we’d love to have you join us at SILVARE.
Role Overview We are looking for a ML/AI Engineer for our client. In this role, you will be responsible for designing ML models, optimizing LLMs for NLP tasks, and deploying production-ready solutions across our AI platform. You will work closely with engineering and data teams to build scalable, high-performing ML capabilities.
What You’ll Be Doing
Design, develop, and deploy machine learning models, with a focus on LLMs and NLP applications.
Fine-tune pre-trained LLMs for domain-specific use cases.
Implement model optimization techniques such as quantization to improve performance.
Build and maintain ML pipelines using Hugging Face Transformers, PyTorch, or TensorFlow.
Run experiments, evaluate model performance, and ensure robustness and reliability.
Collaborate with software engineers to integrate ML models into MLOps and production systems.
What You’ll Bring
4+ years of experience in machine learning engineering or NLP-focused roles.
Strong understanding of deep learning, LLMs, and modern NLP techniques.
Hands-on experience fine-tuning LLMs and developing NLP models using Hugging Face Transformers.
Strong Python skills and experience with PyTorch or TensorFlow.
Familiarity with model optimization (quantization, pruning, distillation).
Experience with cloud deployment (AWS, GCP, or Azure) and standard MLOps workflows.
Nice to Haves
Experience withdistributed training for large-scale models.
Knowledge of model serving frameworks (FastAPI, TorchServe).
Experience with Docker, Kubernetes, or large-scale ML deployments.
Excited to Make an Impact? Apply today and be part of what we’re building together 🙂
At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.
About Us At SILVARE, we’re a dynamic team achieving remarkable results. We’ve built a reputation for delivering fast, impactful results that keep our clients coming back, many of whom are some of the biggest names in tech.
What Μakes Us Different We’re easy to talk to, we get straight to the point and we’re all about making things happen. We’re proud of the strong relationships we build, both with our team and our clients. We believe in keeping our people happy, whether it’s through improving benefits, having open conversations about their projects or just being there when they need us. It’s a supportive environment and culture that helps both us and our people thrive. If you’re ready to work on exciting projects, grow alongside industry leaders and make a real impact, we’d love to have you join us at SILVARE.
Role Overview
We are looking for a Data & AI Engineer to design, build, and deploy AI-driven solutions that enhance products, automate processes, and unlock data value.
What You’ll Be Doing
Develop and deploy machine learning and AI models in production environments
Build scalable data pipelines and support model lifecycle management
Collaborate with engineering and business teams to integrate AI into applications
Monitor, evaluate, and optimize model performance
Research and apply new AI techniques and technologies
What You’ll Bring
Strong programming skills in Python or similar languages
Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Experience deploying models in cloud environments
Solid understanding of algorithms, data structures, and software engineering practices
Ability to translate business needs into AI-driven solutions
Nice to Haves
Experience with NLP, computer vision, or generative AI
Familiarity with MLOps, Docker, and Kubernetes
Experience with major cloud platforms (AWS, Azure, or GCP)
How We Support Your Growth
🍽️ Lunch Is On Us: Monthly allowance for your favorite meals. 🏥 Health First: Private health & life insurance for peace of mind. 💻 Set Up For Success: The right tools to stay connected and perform your best. 📚 Curiosity Never Retires: Access to Udemy for unlimited learning. 🚀 Career Rocket Fuel: Coaching and mentorship programs tailored to your goals. 🎯 Work With The Best: Collaborate with industry-leading clients. 🌈 Celebrate Diversity: Be part of a team that values every perspective. 💸Performance Pays Off: Annual discretionary bonus based on yearly contributions. 🌱 Social Responsibility: Give back through volunteering and sustainability.
Excited to Make an Impact? Apply today and be part of what we’re building together 🙂
At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.
Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.
Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.
The Role:
Lead AI/ML research and development initiatives while growing as a software engineer. Drive machine learning innovation with strong research acumen while building production-ready ML systems. Partner with AI Systems Tech Lead for technical mentorship and system integration.
Key Responsibilities:
Lead ML research, experimentation, and development from concept to deployment
Design and implement novel ML/AI approaches, staying current with cutting-edge research and methodologies
Architect ML pipelines, training infrastructure, and model evaluation frameworks
Guide ML engineering decisions including model selection, feature engineering, and optimization strategies
Translate academic insights into practical applications
Mentor junior ML engineers and establish ML best practices across the team
Work closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production
Enforce data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and security.
Collaborate with cross-functional teams: Work closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectives.
Communicate effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.
Required Expertise:
5+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses)
Advanced degree in AI/ML or related subjects with relevant undergraduate degree
Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies
Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
Experience with ML experiment tracking, model versioning, and reproducible research practices
Ability to translate research papers into working implementations
At least a year of leadership experience driving technical ML initiatives for a small team
Solid foundation in software development practices (testing, version control, code review)
Growth Opportunities:
Opportunity to lead both research direction and technical implementation
Direct involvement in productionizing cutting-edge ML research
Accelerated software engineering development
Preferred (in order):
Background in NLP
Experience with distributed training, MLOps, and cloud ML platforms
Track record of research publications or open-source ML contributions
Enterprise SaaS experience
This role is in a Product-building AI/ML team. This is a Greece-based, full-time, employee-status, fully remote position.
Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.
Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiencs and auto- remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, FastCompany Best Workplaces for Innovators, Inc 5000 Award for Fastest Growth, Forbes AI50, EY Entrepreneur of the Year 2023, CNBC Upstart 100 Top Startup, Gartner Cool Vendor, Red Herring Top 100 Global Innovator, CIO Innovation Startup Award, CIO Review Top ITSM Solution, and Silicon Review 50 Most Admired Companies.
The Role Take this opportunity to lead the design and development of advanced AI systems including intelligent agents, conversational interfaces, and retrieval-augmented generation (RAG) architectures and systems. Drive technical strategy and implementation for next-generation AI products.
Responsibilities
Architect and build scalable agentic AI systems capable of autonomous decision-making and task execution
Architect, design and optimize dialog agents with natural language understanding, context management, and multi-turn conversation capabilities
Develop and optimize robust search and retrieval systems for RAG implementations, including vector databases, embedding strategies, and knowledge integration
Take ownership of complex system design, from proof-of-concept to production deployment
Establish best practices for AI model integration, prompt engineering, and system reliability
Collaborate with product teams to translate business requirements into technical AI solutions
Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
Identify performance bottlenecks and improve systems scalability.
Requirements
At least 7 years in senior software engineering roles, with 2+ years as tech lead or architect
2+ recent years professional work on AI or Search systems
Expertise in vector search, embedding models, or RAG system optimization
Strong background in distributed systems, APIs, and cloud-native AI infrastructure
Experience with AI frameworks (LangChain, LlamaIndex, etc.), and vector databases or information retrieval systems (preferably Elastic)
Solid understanding of software development principles and architectural best practices.
Professional experience with messaging systems such as Kafka, RabbitMQ, or similar technologies.
Professional experience with cloud platforms such as AWS, GCP or Azure.
Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications (in order):
Ph.D. in distributed systems, AI systems, or related area
Familiarity with machine learning concepts and libraries (e.g., Pandas, NumPy, PyTorch).
Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
This is a Greece-based, full-time, employee-status, fully remote position.
Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.
About Us At SILVARE, we’re a dynamic team achieving remarkable results. We’ve built a reputation for delivering fast, impactful results that keep our clients coming back, many of whom are some of the biggest names in tech.
What Μakes Us Different We’re easy to talk to, we get straight to the point and we’re all about making things happen. We’re proud of the strong relationships we build, both with our team and our clients. We believe in keeping our people happy, whether it’s through improving benefits, having open conversations about their projects or just being there when they need us. It’s a supportive environment and culture that helps both us and our people thrive. If you’re ready to work on exciting projects, grow alongside industry leaders and make a real impact, we’d love to have you join us at SILVARE.
Role Overview We are looking for a Javascript Developer for our client. In this role, you will be responsible for designing ML models, optimizing LLMs for NLP tasks, and deploying production-ready solutions across our AI platform. You will work closely with engineering and data teams to build scalable, high-performing ML capabilities.
What You’ll Be Doing
Develop and maintain web applications using JavaScript (ES6+)
Build responsive and user-friendly UI components
Collaborate with designers, backend developers, and product teams
Integrate APIs and third-party services
Write clean, reusable, and well-documented code
Debug, test, and optimize application performance
What You’ll Bring
Strong knowledge of JavaScript fundamentals
Understanding of HTML5, CSS3, and responsive design
Familiarity with REST APIs
Basic understanding of version control systems (e.g. Git)
Ability to work in an agile development environment
Excited to Make an Impact? Apply today and be part of what we’re building together 🙂
At SILVARE, we are committed to diversity, equity, and inclusion in all aspects of our workplace. We welcome applicants from all backgrounds and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or any other characteristic protected by law.
