Director of Engineering

Join Our Dynamic Team As a Senior Staff Analytics Engineer at HelloFresh, you will play a pivotal role as the technical architect and strategic leader for our data assets that drive growth on a global scale. At HelloFresh, data-driven decision-making is embedded in our company culture; your extensive experience in both technical and business domains will empower us to make informed and swift decisions. You will collaborate with various teams within the Growth Alliance, including Conversions, Payments, Pricing/Benefits, Communications, and Adtech, proactively identifying opportunities and developing robust data infrastructures for insightful analytics and AI applications. As a key member of the Growth Analytics team, you will mentor fellow team members and champion the integration of innovative technologies and methodologies. Key Responsibilities Lead Data Quality & Strategic Optimization: Serve as the final authority on SQL/Python reviews, addressing systemic issues, managing non-functional requirements like global scalability, and making crucial design trade-offs in challenging scenarios. Architect Robust Data Models & AI Foundations: Spearhead the design of scalable models and establish AI-ready data foundations. You will implement medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and create data sets that accurately reflect intricate business logic. Drive Pipeline Stewardship & Best Practices: Take full responsibility for pipeline reliability while defining the tooling roadmap. Lead significant migrations, establish monitoring strategies for latency and throughput, and promote the adoption of new technologies such as DBT and observability tools. Enable Cross-Functional Strategy & Mentor the Team: Collaborate with leadership to convert business objectives into technical roadmaps while mentoring and scaling the team effectively.

The Growth Tech Alliance at HelloFresh is dedicated to transforming our marketing strategies by harnessing the power of AI-driven automation, intelligent systems, and advanced optimization techniques. We have developed innovative methodologies for programmatic campaign optimization utilizing cutting-edge AI/ML technologies, and we are now expanding these capabilities across our global marketing operations. Our team is responsible for designing, developing, and maintaining autonomous decision-making systems, sophisticated ML models for marketing optimization, and real-time intelligence that generates significant business outcomes. We operate at the intersection of modern AI architectures, deep statistical modeling, and enterprise-scale ML operations. About the Team As a Senior Data Scientist in our AdTech division, you will play a pivotal role in designing, building, and deploying high-quality machine learning models aimed at maximizing marketing ROI. Your expertise will be essential in enhancing our intelligent marketing optimization systems, overseeing the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating intricate marketing challenges into robust production systems, you will ensure our AI capabilities yield measurable business impact and improved efficiency on a global scale. Key Responsibilities Develop, build, and refine advanced machine learning models across primary adtech domains to optimize marketing performance and facilitate efficient marketing workflows. Design and implement ML models for Media Optimization, contributing to their integration into high-impact production environments. Enhance Creative Automation initiatives by developing predictive AI models that assist our global production studios. Create and implement ML models for Value Optimization to intelligently identify high-value customers. Contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production. Rapidly prototype innovative machine learning solutions, including Gen AI-forward methodologies, and integrate them within our orchestrated multi-agent systems to enable complex autonomous workflows. Work collaboratively with Product, Engineering, and Marketing teams to identify high-impact programmatic automation opportunities and execute rigorous A/B testing and experimentation designs in challenging environments. Perform other duties as assigned.

Staff Data Scientist - Global AdTech, AI-Driven Media Optimization The Growth Tech Alliance at HelloFresh is dedicated to revolutionizing marketing strategies through advanced AI-powered automation and intelligent systems. Our pioneering work in programmatic campaign optimization utilizes cutting-edge AI/ML technologies, now being integrated across our global marketing initiatives. Key responsibilities include designing, developing, and maintaining autonomous decision-making systems and sophisticated ML models, with a focus on maximizing business impact through real-time intelligence. Our work intersects modern AI frameworks, deep statistical modeling, and extensive ML operations. Your Role... As a Staff Data Scientist, you will elevate our AI capabilities by leading the advancement and scaling of intelligent media optimization systems. Your technical leadership will guide the architecture of complex multi-agent systems and ensure the development of robust ML models to tackle challenging optimization tasks. You will be instrumental in transforming prototypes into production-ready systems, establishing best practices for ML operations, and enhancing system observability. This position offers a unique opportunity to influence how HelloFresh employs AI for marketing at an unmatched scale. What You Will Do... Enhance our AI-driven optimization capabilities by designing and implementing production-grade multi-agent systems that autonomously manage intricate marketing workflows. Refine our ML models for marketing optimization, addressing challenges such as budget allocation, efficiency modeling, and performance forecasting, ensuring they support multi-million dollar decisions. Implement thorough ML operations practices, including experiment tracking, model versioning, and system observability, to facilitate ongoing improvement and reliable performance at scale. Lead innovation by rapidly prototyping machine learning solutions across various domains including customer value prediction, dynamic pricing optimization, and generative AI applications. Establish and promote best practices for AI system development, encompassing agent design patterns, governance strategies, and quality assurance frameworks. Drive the technical roadmap to evolve our AI capabilities from successful prototypes to enterprise-level production systems with appropriate governance and monitoring.

Join Our Team! The Loyalty & Virality tribe is integral to HelloFresh's strategy for customer retention and organic growth. We develop innovative products and systems that engage customers, reward loyalty, and encourage them to share their HelloFresh experiences with others. Our team is responsible for loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences, functioning at a global scale across various brands and markets. We combine profound product insight with data-driven experimentation, leveraging AI to create smarter, more personalized customer experiences. If you're enthusiastic about building systems that transform satisfied customers into loyal advocates, this is the ideal team for you! Explore more about our initiatives by visiting our tech blog. Key Responsibilities: Act as a senior technical authority within the Loyalty & Virality tribe, establishing architectural direction, driving technical excellence, and mentoring fellow engineers. This influential individual contributor role significantly impacts the global scaling of our referral and virality systems. Define and oversee the technical strategy for our referral and virality platform, ensuring that our systems remain flexible, resilient, and scalable across all HelloFresh brands and markets. Take complete ownership of the architecture, design, development, deployment, and operations of the Share squad’s microservices. Promote the integration of AI and machine learning within the squads, identifying opportunities for enhancing personalization, predictive engagement, and intelligent reward optimization. Collaborate actively as a solution-oriented member of an autonomous, cross-functional agile team, working closely with Product Owners, Engineers, Designers, and Business Intelligence teams. Facilitate effective communication across the engineering organization, ensuring technical alignment among diverse stakeholders and colleagues. Perform additional duties as assigned. Qualifications: Extensive experience with microservice architecture and event-driven systems (e.g., Kafka, RabbitMQ), alongside distributed architecture principles. Strong proficiency in programming languages and frameworks pertinent to our tech stack. Demonstrated ability to mentor and lead technical discussions, fostering a culture of excellence and continuous improvement. Excellent communication skills, with the ability to articulate complex technical concepts to a non-technical audience. A passion for leveraging data and technology to enhance customer experiences.

Discover More About Our TeamWe are on the lookout for a talented Machine Learning Engineer to join our Customer Value Forecasting team within the Customer Value Optimization department at HelloFresh. In this role, you will play a pivotal part in developing innovative machine learning products that enhance our value forecasting capabilities. You will tackle advanced forecasting challenges, leveraging AI technologies to produce solutions that directly influence business performance. Your expertise will be critical in designing and constructing scalable, robust, and efficient machine learning systems that can manage vast datasets and complex models.Your ResponsibilitiesWork collaboratively with data scientists and engineers in a cross-functional team to enhance HelloFresh’s value forecasting efficiency.Engage with product managers and business stakeholders to gather requirements and translate them into actionable machine learning products and analyses.Rapidly develop proof-of-concept machine learning models and iterate on them to transition into production-ready solutions with mentorship from senior team members.Assess the performance of machine learning models and provide insights for enhancements.Keep abreast of the latest developments in machine learning and artificial intelligence, proposing and implementing improvements to streamline the machine learning development lifecycle and increase team efficiency.Perform other duties as assigned.Why You’ll Be a Great FitA strong enthusiasm for addressing complex business challenges through machine learning in a dynamic environment. Prior experience in machine learning applications for marketing is advantageous.Proficient programming skills in Python and SQL; experience with PySpark is a bonus.Hands-on experience in designing and maintaining large-scale machine learning systems for production, including model monitoring and drift detection.Quickly adapt to new technologies and modeling methodologies while effectively solving real-world business challenges.A keen interest in utilizing modern data science tools such as cloud development, version control, CI/CD, model registries, and feature stores.Strong communication skills to convey complex technical concepts to both technical and non-technical audiences.What We OfferBox Discount - Generous discounts on one box per week! Enjoy a 75% discount on weekly HelloFresh boxes.

Role overview HelloFresh seeks an Engineering Manager for Growth based in Toronto, Ontario. This position leads a team dedicated to enhancing product features and driving customer engagement. The focus is on scaling initiatives that support customer satisfaction and retention, ensuring solutions meet both user needs and business goals. What you will do Lead and mentor engineers working on projects that drive growth and engagement. Work closely with teams across HelloFresh to ensure engineering efforts align with broader business objectives. Use technical expertise and strategic insight to shape and expand growth-focused initiatives. Oversee the delivery of new features and improvements designed to keep customers engaged and satisfied with HelloFresh products.

Join HelloFresh as a Senior Machine Learning Engineer within our Growth Tech Alliance! In this pivotal role, you will design and implement the robust infrastructure that powers our innovative marketing systems. You will transition algorithmic prototypes into high-performance production systems, enabling our AI-driven marketing optimization to operate reliably and independently on a global scale.About the TeamWe are looking for a Senior Machine Learning Engineer who can elevate our AI tools by constructing and deploying a resilient infrastructure for our intelligent marketing optimization systems. You will play a crucial part in executing our AI initiatives, developing scalable microservices for predictive scoring, and orchestrating complex LLM-based agents for creative intelligence. As the ML engineering leader, you will facilitate the evolution of algorithmic prototypes into high-performance production systems, ensuring maximum speed and agility as we redefine how HelloFresh automates marketing at an unprecedented scale.ResponsibilitiesCreate robust integration layers for visual AI pipelines that handle multi-modal embeddings driving various predictive models.Convert proof-of-concept models into resilient production microservices while architecting LLM-based orchestration frameworks.Develop high-throughput, low-latency data pipelines to process first-party data and channel signals to external platforms like Meta and Google.Collaborate with cross-functional teams of data scientists and engineers to enhance HelloFresh’s value forecasting efficiency.Establish CI/CD processes, feature stores, and drift detection mechanisms to guarantee continuous delivery and model reliability.Undertake additional duties as assigned.

Role Overview HelloFresh is searching for a Product Operations Manager (Menu) to guide the team in Toronto. This role centers on improving the meal experience for customers by managing the day-to-day operations of menu offerings. What You Will Do Oversee daily menu operations, maintaining quality and encouraging new ideas in recipe development. Work closely with teams across the company to support strategic objectives. Drive process improvements that enhance both menu performance and customer satisfaction. Who We’re Looking For A proactive leader who cares deeply about food and pays attention to details. Someone ready to optimize menu operations and help raise the bar for customer experience. Location Toronto, Ontario, Canada

About ClutchClutch is Canada's leading online used car retailer, dedicated to providing an effortless and enjoyable car-buying experience. Our platform allows customers to explore a vast selection of vehicles from the comfort of their homes, have their chosen car delivered directly to their door, and enjoy our reassuring 10-Day Money-Back Guarantee. Celebrated as one of Canada’s Top Growing Companies for two consecutive years and recognized in LinkedIn's Top Canadian Startups list, we are eager to welcome inquisitive, diligent, and passionate individuals to our expanding team.Founded in 2017 and headquartered in Toronto, Clutch is supported by renowned investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To discover more about us, visit clutch.ca.About the RoleClutch is on the lookout for a Senior Analytics Engineer to architect, maintain, and enhance our analytics data infrastructure. In this pivotal role, you will collaborate with business units, oversee essential data domains, and mentor fellow analytics engineers while advocating for data quality, governance, and contemporary analytics methodologies.

About CookUnity:At CookUnity, we believe that food should not only nourish but also inspire and connect people. Founded in 2018, we are a pioneering platform that bridges the gap between exceptional culinary talents and customers seeking quality meals. With over 50 million meals delivered annually by top chefs, we are proud to offer fresh, ready-to-eat dishes crafted with passion.But we don’t stop at meal delivery. Our vision extends to creating an innovative marketplace that empowers chefs to nourish the world. If you share this vision, we invite you to explore the opportunity we have for you.The RoleWe are seeking a Senior Analyst, Growth Analytics – CRM who will take ownership of our CRM analytics strategy. Your role will be pivotal in enhancing customer relationships, improving retention, and maximizing lifetime value through the development of robust measurement and insights for our lifecycle marketing initiatives. You will collaborate closely with the Marketing, Product, and Data Engineering teams to ensure our CRM strategies are data-driven and aligned with business outcomes.What You’ll DoLead the analytics strategy for CRM, facilitating deeper customer engagement and retention efforts.Design and execute measurement frameworks to assess the performance of CRM campaigns, personalization strategies, and customer lifecycle journeys.

As a Senior Analyst in Supply Analytics at Agoda, you will play a pivotal role in driving data-driven strategies to enhance our supply chain efficiency. You will leverage advanced analytics and collaborate with cross-functional teams to optimize supply performance and improve overall business outcomes. This is your opportunity to contribute to a dynamic and innovative team in a global leading online travel agency.

As a Senior Product Analyst at HelloFresh, you are a versatile professional who excels in both technical and value-delivery aspects through insights, presentations, and data visualization. Your deep expertise in technical and business domains allows you to oversee projects from inception to completion, ensuring high quality and scalability while promoting best practices within our Product Analytics community. You will have a broad impact across HelloTech, proactively identifying shared needs and challenges across teams, and defining innovative solutions to enhance our workflows. Although you will primarily work independently, your role is pivotal in championing best practices across our teams.Key Responsibilities:Utilize Cursor AI to automate and enhance analytical capabilities and insights generation for the product organization.Work collaboratively with data product managers and engineers to develop reusable data products.Engage with cross-functional teams to gather requirements and establish project objectives, leveraging project management skills to implement data-driven projects.Partner with various stakeholders in the Senior Product organization (Product, Software Engineering, UX leads) to set strategic priorities and foster a culture of evidence-based decision-making.Convey actionable insights across the organization, clearly articulating the implications of your analyses to drive business growth.Investigate and analyze customer behavior and product performance data to identify growth opportunities and enhance the HelloFresh digital product user experience.Mentor fellow Product Analysts, defining best practices and providing support to elevate both individual and team effectiveness.Serve as a technical expert reviewing implementations across multiple teams, continually improving the quality of deliverables.

About FaireFaire is a dynamic online wholesale marketplace driven by the belief that the future lies in local commerce. Independent retailers worldwide are achieving greater revenue than giants like Walmart and Amazon combined, yet remain relatively small in stature. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs around the globe. Imagine your favorite local boutique—we empower them to discover the finest products globally to stock their shelves. With the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to compete against large box stores and e-commerce behemoths.By championing the growth of independent enterprises, Faire fosters positive economic impacts within local communities on a global scale. We are on the lookout for intelligent, resourceful, and passionate individuals to join us as we drive the shop-local movement. If you believe in the power of community, we invite you to be a part of ours.Role Description:Our Engineering organization is the backbone of our marketplace, responsible for the software that enables it to function seamlessly. The Product Security team empowers product engineering teams to create and deploy secure software solutions. We prioritize best engineering practices, striving to deliver software that is secure, thoroughly tested, easy to maintain, and capable of scaling to millions of users. We develop scalable, reusable frameworks, consult with product teams, leverage data-driven insights, and continually iterate on our practices.As a Senior Staff Software Engineer in Product Security, you will take on the role of technical lead for the Product Security domain. You will establish the long-term technical vision for integrating security within Faire’s application framework. Collaborating closely with Platform and Product Engineering teams, you will identify and mitigate security vulnerabilities, spearhead significant security initiatives, and mentor engineers across the organization to enhance secure engineering practices.Additionally, you will lead cross-functional programs to embed security deeply within our architecture, pipelines, and developer experience, effectively minimizing risk while maintaining development velocity.In this role, you will:Define the long-term technical strategy for application security at Faire, establishing scalable and developer-friendly frameworks and principles that facilitate secure development across all product areas.

Location: Toronto Metropolitan AreaBase Salary: $95,000 – $105,000 (CAD)About TeragoniaTeragonia stands at the forefront of innovation, delivering an AI Operating System tailored for Private Equity. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into decisive actions that enhance EBITDA. Operating within the high-stakes realm of enterprise performance, where outcomes are bound by a 3 to 5 year timeline, our execution speed is crucial in defining returns. With our proprietary AI platform, Astradis™, we seamlessly integrate structured and unstructured data, providing prescriptive insights in near real-time, directly into operating workflows with clear accountability and measurable outcomes.We collaborate with private equity firms managing over US$400 billion in assets, rapidly expanding our global footprint. Our impact is quantifiable; we drive a 3% to 5% uplift in EBITDA across portfolio companies, facilitate roll-ups through standardized data and KPI frameworks, and ensure continuous exit readiness with precise performance instrumentation. At Teragonia, we are revolutionizing episodic consulting with a compounding AI platform that amplifies expertise across diverse companies, industries, and investment cycles.We cultivate a diverse, inclusive, and collaborative environment while offering a robust career development platform through cross-functional learning within our multidisciplinary structure. Our competitive compensation package aligns with industry leaders, featuring 401k matching, comprehensive medical insurance, and additional benefits.Explore more about our mission, vision, and values on our website: About Teragonia: https://teragonia.com/company/Our Values: https://teragonia.com/careers/Our Purpose: https://teragonia.com/value-orchestration/

About the Team The Production Scheduling Technology team is at the forefront of automating and optimizing how HelloFresh orchestrates its meal production processes. We have successfully launched a next-generation internal system that automates the entire planning workflow, significantly impacting how millions of meals are distributed throughout our network. As we enhance this system and prepare for future growth, we are seeking a Senior Backend Engineer with robust backend expertise, a knack for transforming intricate logic into effective and dependable systems, and a moderate understanding of full-stack development to support our internal applications. We prioritize candidates who can contribute to our mission at HelloFresh. We value diverse experiences and believe that anyone can excel in this role, so we encourage you to apply even if you don't meet every single requirement. Responsibilities Develop, enhance, and share ownership of a Python-based algorithmic engine that fuels automated planning, incorporating deterministic logic and constraint-based components. Create, develop, and sustain backend services utilizing FastAPI, ensuring scalable and reliable API interactions with our internal applications. Engage in the complete technology lifecycle, including architecture, implementation, deployment, and operations within our advanced tech stack (EKS, RDS, S3, ElastiCache, Glue, etc.). Collaborate with engineers, analysts, and planners to translate domain insights into robust and maintainable system logic. Advance the platform towards an event-driven architecture using technologies such as Kafka. Assist with frontend requirements for our internal React application, ensuring seamless integration between frontend and backend systems. Enhance system reliability through automated testing, performance optimization, and thoughtful design principles. Foster a culture of knowledge sharing and collective ownership through pairing, design discussions, and collaborative learning. Contribute to the strategic direction of an innovative system. Qualifications Proven experience in backend development, particularly with Python and FastAPI. Strong understanding of API design and microservices architecture. Experience with event-driven systems and related technologies (e.g., Kafka). Familiarity with cloud services and infrastructure (AWS, EKS, RDS). Ability to work collaboratively in a team-oriented environment. Excellent problem-solving skills and attention to detail. A proactive attitude towards learning and sharing knowledge.

Role Overview enable is hiring a Staff Engineer in Toronto, ON. This senior role sits at the heart of our engineering team, shaping the design, development, and delivery of new solutions that move our projects ahead. The Staff Engineer brings deep technical expertise and a collaborative mindset to guide product and service evolution.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

Location: Toronto Metropolitan AreaBase Salary: $200,000 – $225,000 (CAD)Company OverviewAt Teragonia, we are revolutionizing the private equity landscape with our cutting-edge AI Operating System. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into actionable insights that enhance EBITDA. Operating in a high-stakes environment where results must be delivered within a 3 to 5-year horizon, we leverage our proprietary AI platform, Astradis™, to unify both structured and unstructured data, providing near real-time prescriptive insights that seamlessly integrate into existing workflows.We collaborate with private equity firms managing over US$400 billion in assets, driving measurable improvements and maintaining continuous readiness for exits. Our approach replaces traditional consulting with an AI-driven platform that amplifies expertise across various sectors and ownership cycles. Teragonia is designed for high-agency builders who seek early responsibility, direct interaction with top-tier private equity firms and their executives, and the opportunity to shape the operational framework for value creation in the AI era.We pride ourselves on offering a comprehensive career development platform, fostering cross-learning in a diverse, inclusive, and collaborative environment. Our competitive compensation package is aligned with industry leaders, featuring 401k matching, comprehensive health insurance, and additional benefits. Read more about our mission, vision, and values.

About FaireFaire is a vibrant online wholesale marketplace grounded in the belief that the future is local. Independent retailers globally are generating more revenue than Walmart and Amazon combined, yet they remain small compared to these giants. At Faire, we harness the power of technology, data, and machine learning to connect this thriving community of entrepreneurs around the world. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to enrich their offerings. With the right tools and insights, we strive to level the playing field, ensuring that small businesses can effectively compete against big box and e-commerce behemoths.By championing the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join us as we fuel the shop local movement. If you share our commitment to community, we invite you to join ours.About the RoleAre you enthusiastic about leveraging data and AI to shape the future of Faire's product features for small and medium-sized businesses (SMBs)? If so, we want to connect with you! We are seeking a technical leader to collaborate closely with Data Scientists, Product Analysts, and Software Engineers to facilitate product launches and roadmaps by developing robust data capabilities that generate actionable insights. You will spearhead efforts to utilize AI to enhance productivity and revolutionize analytical engineering—streamlining data pipeline development and operations, refining data consumption workflows, and automating routine analytical tasks. In this role, you will witness a direct correlation between your contributions, company growth, and user satisfaction. You will collaborate with top-tier professionals, work with one of the richest data sets available, utilize cutting-edge technology, and regularly see the impact of your efforts on products and SMBs.Join us and be part of a team that prioritizes data-driven innovation and excellence.