About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Robinhood Social team is building Robinhood's social trading platform — a feed-based experience where traders share insights, follow one another, and discover market-moving information in real time. The product is currently in beta, making this a rare ground up opportunity to shape the future of social experiences at Robinhood from the ground up. You'll work closely with product, design, data, machine learning, and safety teams to build reliable, scalable systems that support high-volume content, user interactions, and personalized discovery.

As an Engineering Manager for the Social team, you will lead a group of engineers building core social trading features. You will set technical direction, drive execution against product goals, and ensure systems meet reliability and performance standards. You will partner cross-functionally to define priorities, translate product needs into technical plans, and deliver end product. You will also grow engineers through feedback, goal-setting, and career planning.

This role is based in our New York, NY office, with in-person attendance expected  5 days per week.

What you'll do

• Lead a team building and scaling social interactions, content feeds, and user discovery features
• Set and communicate clear technical direction aligned with product strategy, holding a high bar for quality, performance, and maintainability
• Partner cross-functionally with design, product, data, machine learning, and safety teams to shape the social experience
• Drive architectural decisions and foster a culture of high-quality code and strong engineering processes
• Foster a collaborative, inclusive team environment where engineers across levels can grow, take ownership, and do their best work
• Support engineers through hiring, onboarding, performance feedback, and career development

What you bring

• 7+ years of professional software engineering experience
• 2+ years of engineering management experience leading product-focused engineering teams
• Strong foundation in building consumer-facing products at scale, with experience working through the stack
• Deep understanding of web architecture and best practices for building modular, scalable systems within large, evolving codebases
• Experience building and operating distributed systems that handle high traffic or real-time data
• Proven ability to grow engineers across levels through mentorship, feedback, and clear expectations
• An execution-focused mindset, capable of navigating ambiguity and delivering results
• Clear communication with both technical and non-technical partners

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Merchant Experience team builds the UI operating system and core experiences that power decades of growth for millions of businesses globally, enabling Stripe to be the business SaaS solution of choice for next-gen companies. We own the foundational platforms and product surfaces that merchants interact with every day - from the Stripe Dashboard to the frameworks and tooling that hundreds of Stripe engineers use to build world-class user interfaces.

We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like in an AI-native world. At the same time, we're raising the bar on the quality and performance of everything we ship - because the millions of businesses that depend on Stripe deserve an experience that is fast, reliable, and crafted with care.

What you'll do

As a Senior Staff Engineer on the Merchant Experience team, you will be a technical leader responsible for shaping the next generation of how Stripe merchants interact with our products. You'll drive a step-function improvement in the quality and performance of our core surfaces, and help define what AI-powered merchant experiences look like at Stripe.

Responsibilities

• Define technical strategy for merchant-facing experiences across Stripe, with a focus on quality, performance, and the integration of AI into core user workflows
• Lead the design and delivery of complex, cross-team projects that measurably improve the reliability, responsiveness, and polish of Stripe's merchant surfaces
• Champion a quality-first engineering culture - establish standards, tooling, and processes that make it easy to ship high-quality, performant UI by default
• Drive performance as a product feature - own the technical approach to making the Dashboard and merchant tools best-in-class in speed and responsiveness, including instrumentation, budgets, and architectural improvements
• Innovate on the future of merchant UX - explore and prototype how AI can transform the way merchants discover, configure, and operate Stripe products, moving beyond traditional dashboard paradigms
• Build platforms and abstractions that make Stripe engineers more productive - frameworks, components, and developer tools that encode best practices for quality and performance
• Partner across Stripe with Product, Design, AI/ML, and infrastructure teams to translate high-level product vision into a concrete technical roadmap
• Mentor and grow engineers across the organization, raising the technical bar and fostering a culture of craftsmanship and high standards

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

Minimum requirements

• This is a Senior Staff role - the expected scope of this role includes overseeing the work of 4-6 teams and owning an entire portfolio of products - and while there’s no strict minimum we're looking for, most candidates will have at least 10-15 years of experience in the industry
• Experience building and shipping complex, user-facing web applications that have reached large-scale audiences (hundreds of thousands of users) or have been contributed to by hundreds of engineers
• A track record of leading large-scale, cross-functional engineering projects with broad organizational impact
• Deep expertise in modern frontend and full-stack development - you have strong opinions on what makes a great user experience and the technical skills to make it real
• Demonstrated ability to drive measurable improvements in software quality and performance (e.g., load times, reliability, test coverage, error rates)
• Experience influencing technical direction and driving alignment across multiple teams without formal authority
• Excellent communication skills - you can articulate a compelling technical vision to engineers, product leaders, and executives alike

Preferred qualifications

• Experience building or maintaining design systems, component libraries, or frontend platform infrastructure at scale - ideally with React
• A deep interest in the intersection of AI and UX - you think critically about how emerging technologies change interaction models and are excited to pioneer new paradigms
• Experience with performance engineering: profiling, instrumentation, budgeting, and optimization of modern web applications
• Experience with the complexities of deploying large web applications at global scale - bundling, CDNs, browser compatibility, and build tooling
• Comfort working across the full stack - while this role skews frontend, you're not afraid to dive into APIs, backend services, or data layers when that's what the problem requires
• Familiarity with distributed systems, API design, and building platforms that serve both internal developers and external users
• A passion for developer experience and making other engineers more productive
• Experience mentoring senior engineers and contributing to engineering culture and hiring
• Hands-on experience integrating AI-powered capabilities into user-facing products - you've helped ship features that make complex workflows simpler and more intelligent

Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Platform -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Support Experience - We build and improve our 24x7 email, phone, and chat support channels, our Premium Support and Enterprise Services products, our Support Site, and more. This includes how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Holds yourself and others to a high bar when working with production

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Supportability Evaluation team acts as stewards of the financial ecosystem. Our mission is to protect Stripe’s reputation with our global financial partners by architecting highly precise, automated supportability controls. We develop the AI/ML models and systems that detect and action supportability violations in real-time. We're responsible for building high-fidelity detection engines that ensure our merchants remain compliant across the globe, balancing the scale of millions of users with the surgical precision required by the world’s largest financial institutions.

What you’ll do

As a Machine Learning Engineer in Supportability, you will be responsible for designing, building, training, evaluating, deploying, and owning AI/ML models in production. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence AI/ML architecture at Stripe and be a part of a larger community.

Responsibilities

• Design state-of-the-art AI/ML models and large scale systems for detection and decisioning for Stripe products based onAI/ML principles, domain knowledge, and engineering constraints
• Drive the expansion of Stripe's largest LLM-based system, scaling its usage and integrating new capabilities through agentic approaches or supervised learning.
• Rapidly prototype new AI/ML-based approaches to achieve key business goals.  
• Develop processes to train and evaluate models in offline and online environments
• Integrate models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in AI/ML and take calculated risks in transforming innovative ideas into productionized solutions
• Explore cutting-edge AI/ML techniques and evaluate their potential to solve business problems

Who you are

We are looking for ML Engineers who are passionate about building AI/ML and AI systems that touch the lives of millions. You have experience building and evaluating advanced AI/ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• 2+ years of industry experience building and shipping AI/ML systems in production
• Proficient with AI/ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark 
• Knowledge of various AI/ML algorithms and model architectures
• Hands-on experience in designing, training, and evaluating machine learning models
• Hands-on experience in productionizing and deploying models at scale
• Experience rigorously evaluating model performance, including cleaning data, and working with data-generating processes to improve signal and reduce noise in high-noise datasets.
• Proficiency in creatively applying modern machine learning techniques and Generative AI models to solve complex business problems.

Preferred qualifications

• MS/PhD degree in AI/ML or related field (e.g. math, physics, statistics)
• Experience with DNNs including the latest architectures such as transformers and LLMs
• Experience working in Java or Ruby codebases
• Proven track record of building and deploying AI/ML systems that have effectively solved ambiguous business problems
• Experience with online experimentation such as A/B testing or multi-armed bandits.
• Experience with model calibration

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of friendly, user-oriented engineers that partner closely with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (support.stripe.com), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and internally to help our operations teams be more productive.

What you’ll do

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences. You will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. For example, we apply LLMs to answer user questions with conversational agents and personalize product documentation, and are building automated systems to solve complex user problems. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community. 

Responsibilities

• Design  and implement state-of-the-art ML models and large scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities
• Stay current with the latest developments in ML/AI, particularly in natural language processing and conversational AI, and apply innovative ideas to improve support experiences

Who you are

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc. Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

The Growth Alliance enables HelloFresh to expand by getting more customers to try, recommend, and return to our products. We build digital experiences used by customers around the world, including our checkout funnel, discounting and wallet services, experimentation platforms, and referral technology.

If you’re excited about building customer-facing products at global scale—and shaping how millions of people interact with food and technology—this is a strong place to grow your impact.

S'more about the team

As a Mid-Level React Native Developer, you’ll join a cross-functional team building features that empower both customers and internal stakeholders. You’ll contribute to developing high-quality mobile and web experiences using modern technologies, with a focus on performance, accessibility, and maintainability.

You’ll work closely with senior engineers while taking ownership of well-defined features end-to-end, growing your technical depth and product intuition over time.

We’re also increasingly leveraging AI-driven tools and systems—from developer productivity (e.g., code generation, testing support) to customer-facing experimentation and personalization—so you’ll have opportunities to build and iterate in an evolving, AI-enabled environment.

Lettuce share what this role will be responsible for

• Collaborate within a cross-functional team of engineers, product managers, designers, and analysts
• Build, test, and ship features that improve the customer experience and drive growth
• Contribute to code quality, performance, and maintainability of our mobile applications
• Participate in system design discussions and help implement scalable solutions
• Work with backend services and APIs to deliver seamless end-to-end functionality
• Use data and experimentation to inform product decisions and iterate on features
• Contribute to a culture of continuous improvement through code reviews and team discussions
• Stay current with emerging tools and practices, including AI-assisted development workflows
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• 2–4 years of experience working with React / React Native
• 2–4 years of experience building mobile applications (iOS and/or Android) using technologies such as Swift, Kotlin, or React Native
• Solid understanding of integrating frontend applications with backend services and APIs
• Experience with testing (unit, integration, or end-to-end) and CI/CD pipelines
• Familiarity with agile development and working in cross-functional teams
• Ability to collaborate effectively with designers and product managers
• Strong problem-solving skills and a willingness to learn and grow
• Nice to have: Experience with experimentation platforms (A/B testing)
• Nice to have: Exposure to AI/ML-powered features or tools (e.g., personalization, recommendations, or developer tooling)
• Nice to have: Experience optimizing performance for mobile applications at scale

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

We are looking for a Senior Data Scientist. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches).
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks).

What we’re looking for

• • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
  • Experience solving problems within digital advertising is preferred.
  • Familiarity with online experimentation and its pitfalls.
  • A scientifically and statistically rigorous approach to analysis and data.  You rely on statistically valid approaches to problems and have a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output.
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R).
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, including Product and Machine Learning teams.
  • A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
  • Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1-2 times per half and therefore can be situated anywhere in Ontario. 

#LI-HYBRID

#LI-CH1

The Auth0 Team

We never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you're passionate, practice radical transparency to build trust and respect, and thrive when you're collaborating, experimenting and learning – this may be your ideal work environment. We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day. N+1 > N.

Here at Auth0 we’re focused on securing the world’s identities so innovators can innovate. We’re currently hiring a Senior Software Engineer for the Identity Security Insights team. The Insights team is responsible for modernizing the way Auth0 empowers our customers to seamlessly access and understand their Auth0 data and level up how they monitor and address security concerns.

What you will do:

• Help design secure, performant, cross-platform browser-based features.
• Collaborate inside your team to solve technical and non-technical challenges.
• Work closely with Product and Design to determine and optimize user experience.
• Build new and maintain existing features by contributing across the full technical stack.
• Debug and resolve production issues and implement fixes for them.
• Be a part of the team's on-call rotations.
• Evaluate new technologies and techniques to improve overall practices.

You are a good fit for this role if you:

• Have a passion for learning.
• Like owning, designing, and driving projects end to end.
• Enjoy greenfield development and iterating on existing features.
• Are comfortable writing and operating full-stack applications.
• Are familiar with Node.js and RESTful APIs.
• Have a good understanding of JavaScript and TypeScript.
• Have the ability to contribute in a team environment.
• Work well with technical and non-technical people to deliver high-value results.
• Have excellent communication and collaboration skills.
• Enjoy being part of a highly collaborative, remote-friendly environment.
• Have at least 5 years of software development experience.
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

It is helpful, but not required, if you:

• Have experience working in distributed teams and work environments.
• Have experience working with React and Styled Components.
• Have experience working with data driven applications.
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

#LI-HYBRID

#LI-SH1
P-1093.1_3427006

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from our office in Toronto or remote in Canada
Travel: 20% travel domestically and globally
Job ID: 1310

We’re looking for a Senior Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Develop impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Be part of a client-facing team that finds, defines, and solves problems of real-world interest using IonQ trapped-ion quantum computers.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• Hands-on expertise with using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• Demonstrated experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1360

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions for the Bioscience vertical and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (strong focus on biosciences, but also chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with the development of useful quantum algorithms, together with the IonQ Application team.
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to clients and support our booth activities.
• Some travel is expected in the US (20%) but opportunities for global travel are available as well for client meetings and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.

You’d be a good fit with:

• 5+ years of experience in the Biosciences industry, leading technology initiatives and innovation (or equivalent capacity).  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical.
• Bachelor’s degree or above in Biology, Chemistry, Computer Science, Machine Learning, Data Science, or other STEM field, such as Physics or Engineering
• Motivated learner with a strong passion for applied Quantum Mechanics (computing, network, security, sensing and other domains).

You’d be a great fit with: 

• Master's or PhD in a STEM field, perhaps adjacent to quantum computing.   This can enable quicker client trust and confidence.
• 5+ years of experience in a technical customer-facing role or equivalent capacity.  This isn’t a pre-requisite, but helps in transitioning to customer-facing roles.
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position can work onsite or hybrid from one of our offices or fully remote in the US or Canada
Travel: Up to 20% travel domestically and globally
Job ID:  1308

The approximate base salary range for this position is $192,979 - $252,659 USD. The total compensation package includes base, bonus, and equity.

We’re looking for a Staff Quantum Applications Scientist - Life Sciences who will be part of a cross-functional team at IonQ whose mission is to deliver the world’s best quantum solutions in life sciences on the world’s best quantum computers to solve the world’s most complex and impactful problems. This role is open as part of IonQ’s Quantum Applications team based in either Gothenburg, Sweden or Toronto, Canada. You will work closely with partners within the life sciences innovation ecosystem and beyond to create new hybrid quantum applications with significant commercial impact.

Responsibilities: 

• Originate and lead development of impactful hybrid quantum applications, algorithms and solutions in the life sciences domain that promise commercial advantages in practice and at scale.
• Collaborate with quantum compiler, cloud and hardware engineering teams to develop highly optimized hybrid workflows for trapped-ion quantum computers.
• Contribute knowledge of classical and quantum domain-specific algorithms and tools to evaluate and communicate pros and cons, current state-of-the-art, scaling behavior, trade offs, cross-over points, etc.
• Lead constructive technical interactions with client teams to find, define, and solve problems of real-world interest using IonQ trapped-ion quantum computers.
• Represent the team in client and stakeholder presentations, develop presentation content and appropriately adapt it to the audience.
• Build reusable software platforms to grow IonQ’s user base. Integrate first of a kind quantum algorithms into larger end-to-end workflows.

You’d be a good fit with: 

• Doctorate degree in the life sciences domain, or equivalent work experience.
• At least 3 years of professional experience using and developing computational and ML/AI tools in bioinformatics, molecular biology, development of advanced therapeutics, including a track record of peer-reviewed manuscripts and contributions to code bases.
• At least 3 years of professional experience developing, applying, validating quantum computing algorithms and solutions in the life sciences domain, including prototyping solutions using Python and quantum SDKs like Qiskit, PennyLane, Cirq.
• Desire to work closely with customers including aligning with time zones and work schedules. Potential for international travel and/or onsite co-location.

You’d be a great fit with:

• Expertise in key mathematical techniques used in quantum computing - linear algebra, matrix decompositions, probability theory, symmetry, computational complexity.
• Success working directly with clients to define and deliver solutions; excellent collaboration and communication skills.

Location: Onsite and/or hybrid from our office in Gothenburg, Sweden or Toronto, Canada
Travel: 10% domestic and international, with a focus on visiting customers and clients
Job ID: 1361

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

Canada: the pay range for this role is $180,000 to $247,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such as enhancing image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. You will leverage deep learning, multi-modal LLMs, and human-in-the-loop training to create high performance solutions. This space has been evolving rapidly with advancements in AI and you will be at the forefront of applying the latest technology to drive real-world impact. You will independently design and implement solutions and work with the cross-functional Listing Quality pod, including product, design, engineering, analytics, and operations, to solve problems end-to-end.

What you’ll do

• Drive data science vision, strategy, and execution on Listing Quality, using ML and AI solutions to improve the quality of Faire’s product listings.
• Use deep learning, LLM fine tuning, and human-in-the-loop training to automatically detect and address issues with high accuracy.
• Act as a lead on the cross-functional Listing Quality pod, thinking end-to-end about brand and retailer experiences.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e.g. e-commerce)
• Experience with relevant technical methods (e.g. LLM fine tuning, deep learning, or human-in-the-loop machine learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Master’s or PhD in Computer Science, Statistics, or related STEM fields is highly recommended
• Previous experience in listing quality for e-commerce
• Previous experience in supervised fine tuning of multi-modal LLMs
• Experience deploying and optimizing LLM inference systems at scale (10B+ tokens), with focus on cost efficiency and product impact

Salary Range

San Francisco: the pay range for this role is $211,000 to $290,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Staff Security Infrastructure Engineer, Red Team

Within the Product Security team, our Red Team delivers robust security assurance for Okta's products, services, and infrastructure.  You will be the team's dedicated infrastructure and tooling engineer, the first person in this role for a small team of operators. You will work alongside operators but not report through an operator chain; you'll collaborate as a peer focused on a different discipline.

We seek a Staff Security Infrastructure Engineer to own the engineering backbone that enables our operations. This is not a traditional operator role but a dedicated infrastructure, tooling, and automation engineering position embedded within the Red Team.  You will design, build, maintain, and continuously improve the platforms, infrastructure, and custom tooling that our operators depend on to execute engagements.

Your work directly enables the team to operate at a higher maturity level: faster infrastructure deployment, more resilient and OPSEC-aware architecture, automated workflows, and reliable custom tooling, freeing operators to focus on the mission.  Your role will also extend to cultivating stakeholder collaboration and elevating our company’s security posture through strategic engagement and proactive measures.  As the team matures, this role can evolve toward platform leadership, custom capability development, or a hybrid operator/engineer path.

What You Will Do

• Infrastructure Engineering & Automation:
• Own the full lifecycle of red team infrastructure: design, provisioning, configuration, maintenance, and teardown
• Build and maintain Infrastructure-as-Code (IaC) using Terraform (or equivalent) to automate deployment of C2 servers, redirectors, phishing infrastructure, payload-delivery systems, and supporting services.
• Resource and asset lifecycle management through tracking domains, certificates, cloud accounts, recurring expenses, and infrastructure resources; managing acquisition, rotation, and retirement.
• Tooling Development & Maintenance:
• Develop, maintain, and improve custom tools, scripts, and automation to support red team operations (e.g., payload generation pipelines, log aggregation, C2 profile management, infrastructure health checks), providing on-demand infrastructure/tooling support when issues or gaps arise.
• Collaborate closely with operators during engagement planning to understand infrastructure requirements, OPSEC constraints, and operational timelines.
• Building and maintaining a representative test environment for pre-operation validation of tools and tradecraft against a security stack similar to the target.
• Maintaining the team's source code repository with merge/pull request processes, documentation, and code quality standards.
• Ensuring engagement evidence, infrastructure logs, and operational data are centrally collected and accessible for reporting and after-action reviews.
• Contribute to and maintain metrics that demonstrate infrastructure maturity, operational efficiency, and readiness (e.g., deployment time, rebuild time, infrastructure availability during engagements).
• Security & OPSEC:
• Design infrastructure with OPSEC as a first-class requirement: network segmentation, traffic separation between operations, credential management, and access controls 
• Implement and manage secure access to red team infrastructure
• Create and update operational runbooks, infrastructure documentation, and SOPs for the team.
• Maintain clear records of infrastructure ownership and attribution to support deconfliction processes.

What You Bring

Required

• 8+ years of professional experience in infrastructure engineering, DevOps, platform engineering, or a similar role with significant automation responsibilities
• Strong familiarity with Terraform (or equivalent IaC tooling) for multi-cloud infrastructure provisioning and management
• Experience operating in cloud-native, SaaS, or identity-focused environments
• Strong proficiency with configuration management tools (Ansible, or equivalent)
• Proficiency in at least one systems programming or scripting language (Python, Go, Bash) with disciplined development practices (version control, code review, testing, documentation)
• Solid understanding of Linux systems administration, networking fundamentals (DNS, HTTP/S, TCP/IP, proxying, TLS), and cloud platforms (AWS, GCP, or Azure)
• Understanding of OPSEC principles as they apply to offensive infrastructure — you know why redirector chains, domain categorization, traffic separation, and certificate management matter.

Strongly Preferred

• Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
• Familiarity with containerization and orchestration (Docker, Kubernetes) as applicable to tooling and lab environments
• Familiarity with C2 frameworks (Cobalt Strike, Mythic, Sliver, or similar) from an infrastructure and deployment perspective — you don't need to operate them, but you need to understand what operators need from the infrastructure
• Familiarity with detection evasion concepts as they relate to infrastructure (e.g., traffic shaping, hosting provider reputation, certificate transparency)

Nice to Have

• Working knowledge of Blue Team operations and related technologies
• Experience with security tool development (implant development, payload engineering, evasion tooling) — this role can grow in that direction
• Familiarity with Red Team maturity models and how infrastructure/tooling capabilities map to organizational maturity 

Note: This is not an operator role. You will not be the person running hands-on-keyboard engagements as your primary function. While you may participate in operations to understand requirements or provide support, your core mission is ensuring the team's infrastructure, workflows, tooling, and automation are reliable, repeatable, and mature. You are the engineering foundation the operators build on.

#LI-TM

#LI-Hybrid

(P22302_3403905)

Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

The Product

Okta’s Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

The Team

The Delegated Administration team is expanding Auth0 to help B2B SaaS applications easily manage access for their own customers and partners, at scale. We make it possible for enterprise SaaS users to log in with the right set of permissions within the right context, and for our B2B customers to onboard access for their customers easily. Our work is cross-cutting and always heavily customer driven.

We work in NodeJS (JavaScript and TypeScript) and use PostgreSQL for our data needs. Our services run on AWS and Azure and we lean heavily on containers for both our development and production needs.

If you have a keen eye for good user experiences and enjoy solving hard problems at scale we can’t wait to talk to you.

What you’ll be doing 

• Help drive architectural vision and strategy on the team to design and deliver powerful new enterprise functionality for our SaaS customers - both for the login flow itself and for Auth0’s direct and self-service management capabilities
• Identify and implement strategic technical improvements to our codebase and architecture. Orchestrate and lead major technical projects, across teams as necessary.
• Mentor and coach less experienced engineers on sound engineering practices and technical leadership. Serve as a subject matter expert on all building scalable, reliable and maintainable distributed systems.
• Work with your team, the Product Manager and Product Designer to define the look, feel and functionality of new features and review customer feedback

What you’ll bring to the role

• You bring solid architectural and security knowledge, backed by experience in designing, implementing and evolving complex distributed systems.
• You have worked on projects that required close collaboration with external teams, and have experience making those a success.
• You are a good mentor and communicator, and bring the rest of your team along for the journey. You can explain complex concepts simply in person or in a document. You know that while an engineer can write code, teams collaborate to ship successful products.
• You have solid previous experience with Node.js (JavaScript or Typescript) to build scalable backend services and creating and maintaining public and internal APIs.
• You have built frontend and full-stack apps and know what approach to use when. You know how to build SPAs, have a good understanding of React and know your way around CSS.
• You have a good understanding of SQL databases and know how to debug and optimize table and query structure for performance under load.
• You have experience with Docker and cloud environments (AWS and Azure preferred).
• You have proven experience operating services at scale with appropriate observability tools and mechanisms.

And extra credit if you have experience in any of the following! 

• Knowledge of authentication protocols such as OAuth2, OIDC, SAML.
• Understanding and experience of DevOps culture. We have infrastructure teams that build interfaces for product teams but we love working with engineers who can reason about the workings under the covers - and roll their sleeves up to write some Terraform, if need be.
• Knowledge of security engineering and application security.

#LI-Hybrid

P24570

Marqeta is looking for a talented Senior Software Engineer to independently identify and deliver software solutions on our Data Infrastructure team through a set of milestones spanning a specific platform focus or a multi-component system. You will own and deliver projects in service of quarterly goals on the team and independently identify solutions to solve ambiguous, open-ended problems. You will work in collaboration with your team and cross-functional partners.

The Data Infrastructure team, within our Data & ML Platforms organization, is responsible for the data lakehouse, streaming, orchestration, and catalog platforms that power analytics and AI across Marqeta. We're a platform engineering team building infrastructure that other engineering teams depend on.

At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

Learn more about our Product and Engineering team

The Impact You'll Have

• Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team.
• Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact.
• Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience.
• Identify gaps and propose plans towards addressing those gaps.
• Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements.
• Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example.
• Participate in on-call coverage.

Who You Are

• 5+ years of experience as a software engineer with a Bachelor's degree; or 3 years of experience with an advanced degree. In lieu of a degree, 8+ years of relevant experience may suffice.
• Strong proficiency in Python in a production context.
• Proficiency with SQL.
• Experience working with distributed systems.
• Production experience with multiple core data technologies, including Apache Kafka, Apache Spark, and Apache Airflow (or close equivalents).
• Production experience with modern table formats (Parquet, Hudi, Iceberg, or Delta Lake).
• Production experience with AWS or another major cloud.
• Experience with infrastructure-as-code (Terraform, CloudFormation, CDK, or equivalent).
• Experience monitoring and alerting on production systems.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components.
• Ability to build correct, maintainable software components.
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.
• Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing.
• A focus on quality and meeting deadlines.

Nice-To-Haves

• Experience with payments or the FinTech space.
• Experience with Apache Iceberg specifically.
• Experience with CDC tooling, particularly Debezium or Kafka Connect.
• Experience with data catalog tooling (DataHub or equivalent).
• Experience with Java in addition to Python.
• Exposure to Kubernetes and container-based workloads.
• Experience building scalable software platforms.

Our (typical) process:

1. Application Submission
2. Recruiter Video Call
3. Coding Interview & Hiring Manager Interview
4. Virtual “Onsite” consisting of three 60 minute rounds
5. Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 116,000 - 145,000

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

The Application Modernization Platform team aids developers in making the shift from relational databases to MongoDB, building toolkits that leverage AI to power seamless transitions. 

As a Senior Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts for Application Modernization. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

This remote position is open to candidates in Eastern and Central timezones.

The right candidate for this role will be:

• Experienced with 5+ years of Software development background, preferably with experience with Java web services and with relational data modelling and SQL
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (JIRA is preferred)
• Familiar with MongoDB or a comparable technology
• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances hands-on oversight with process-driven operationalization. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Embody MongoDB's core values and leadership principles

Success Measures:

• In 3 months you will be ramped on the App Modernization product and engineering roadmap
• In 6 months you will own and drive critical initiatives across the App Modernization portfolio
• In 12 months you will be organizing multiple high impact efforts and integrating improvements to frameworks for managing critical programs at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 4263333180

Transmit Security is a cross-channel identity and orchestration platform designed to simplify, accelerate, and reduce the cost of identity-related projects, such as authentication, authorization, fraud prevention, and new account opening. The platform provides cutting-edge capabilities by fusing Identity Management and Fraud Prevention, allowing businesses to balance customer experience with fraud reduction while enhancing security and agility.

We are seeking a Sales Engineer to join our team, with a strong focus on building and owning strategic relationships, and driving technical success. As a trusted technical counterpart, you will leverage Transmit’s unique Fraud and Identity Fusion approach to deliver value to our customers, helping them address both business and fraud challenges holistically. You’ll work closely with sales to influence both technical and business outcomes while driving adoption of Transmit’s fraud prevention and identity orchestration solutions.

Key Responsibilities:

• Account Ownership: Build and nurture strong relationships with technical stakeholders, acting as a trusted technical advisor. Work as part of the sales team to own the technical account relationship and drive success across the sales lifecycle.
• Promote Fraud and Identity Fusion: Highlight the power of Transmit Security’s Fraud and Identity Fusion capabilities, which combine Identity Verification, Fraud Detection, and Customer Behavior Insights. Demonstrate how this integration reduces fraud while improving customer experiences across all channels.
• Strategic Engagement: Develop long-term, strategic relationships with customers by delivering fraud insights and identity management solutions tailored to their needs. Ensure they experience the business value of balancing fraud prevention and customer convenience.
• Technical Presentations & Demos: Lead technical product demonstrations and proof of concept presentations, showcasing how Transmit’s fusion of identity management and fraud detection enhances security and operational efficiency while improving the customer journey.
• Pre-Sales Guidance: Provide expert guidance throughout the sales process, demonstrating how risk-adaptive customer journeys, fraud telemetry, and dynamic rules can support both fraud prevention and customer experience goals.
• Collaborative Sales Process: Work in close collaboration with sales and post-sales teams to ensure a smooth transition from pre-sales to successful deployment. Address any technical objections by aligning Transmit’s platform capabilities with customer needs.
• Solution Customization: Customize solutions that leverage Transmit’s native AI/ML-powered services, risk-informed customer journeys, and fraud detection tools, ensuring that customers achieve maximum business value.
• Account Strategy Support: Support account strategy by helping customers deploy rapid, fraud-resistant identity solutions that are adaptive, secure, and compliant.

Required Skills & Qualifications:

• 3-5 years of sales engineering experience, with a strong understanding of both identity management and fraud prevention.
• Proven success in building strategic relationships, acting as a technical counterpart to sales and influencing decision-makers.
• Technical expertise in delivering customized technical presentations and proof of concept workshops focused on fraud and identity orchestration.
• Understanding of IAM and fraud prevention concepts: Authentication, Authorization, Single Sign-On (SSO), User Lifecycle Management, Fraud Detection, Risk-Adaptive Journeys, and Customer Behavior Insights.
• Experience with cloud services (AWS, GCP, Azure) and their integration with security solutions.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders, translating complex technical concepts into business outcomes.
• Collaborative mindset, with experience working across sales and technical teams to deliver holistic solutions.

Nice to Have:

• Experience in SaaS solution selling, particularly in the security or fraud prevention space.
• Familiarity with Transmit Security’s Fusion capabilities, including AI/ML-powered fraud detection, identity orchestration, and dynamic fraud response tools.

Transmit Security is committed to fostering, cultivating and preserving a culture of Diversity and Inclusion. Our human capital is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our Culture, but our Reputation and Achievements as well.  We encourage diversity and embrace our employees’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.

#LI-CY1   #LI-Remote

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. 

As a Forward Deployed Engineering Intern on the AI Agent team, you’ll support real-world AI deployments and gain hands-on experience with AI systems in customer environments.

What You'll Do :

• Assist in developing and configuring AI agents using Cresta’s platform tools.
• Help build and test integrations between AI agents and external systems (like APIs or data sources).
• Support performance tuning and troubleshooting of AI agent prototypes.
• Work with customers and internal engineering teams to understand requirements and iterate on solutions.
• Participate in team demos, feedback sessions, and learning opportunities.
• This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.

What We're Looking For:

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field.
• Experience writing code in Python (or another general-purpose language).
• Basic understanding of programming fundamentals and software development best practices.
• Strong interest in artificial intelligence, machine learning, or software engineering.
• Excellent communication skills and willingness to collaborate with teammates and customers.

Nice-to-Haves

• Experience with APIs, web development, or cloud platforms.
• Prior coursework or projects involving AI/ML concepts or LLMs.
• Exposure to prompt engineering or similar experimentation.

Compensation: CAD $30-50/hour
Perks:

• Lunch and dinner can be expensed (up to $25 each) while working in the office
• Well-stocked office with snacks and drinks
• Convenient downtown location near Union Station (public transit accessible)
• PTO: 4 days
• Exposure to cutting-edge AI systems in production

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

The Identity Threat Protection Team

Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers.

Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authentication and authorization decision.

Identity Threat Protection with Okta AI

The Staff Software Engineer Opportunity

Okta is seeking a Staff Software Engineer to be a driving force on the ITP engineering team. This is your chance to dive into the deep end and solve the most critical and complex security challenges facing enterprises today. We seek a candidate who has not just experience, but a proven record of designing, building, launching, and scaling world-class security products—from concept to global deployment.

You will be a technical cornerstone of a team that lives and breathes elegant solutions and uncompromising quality. Our philosophy is rooted in relentless automated testing, rigorous code reviews, and the design of systems for massive, planetary-scale operations. As a Staff Engineer, you are a player-coach and a standard-setter, demonstrating absolute excellence in software engineering.Our environment is high-speed, fiercely innovative, and highly autonomous, utilizing agile cycles where individual ownership is paramount. If you crave stimulating, mission-critical security projects, pioneering emerging technologies, and conquering complex security and Machine Learning challenges, this is your defining career opportunity.

What you’ll be doing 

• Architect and Lead: Command the design, development, delivery, and supportability of cloud-native security products—leading the charge from initial concept to final, production-ready implementation.
• Drive Collaboration: Build solid, cross-group partnerships and demonstrate exceptional interpersonal communication, working closely with engineering, product management, design, support, and documentation teams.
• Uphold Excellence: Commit to the highest programming standards through rigorous code reviews and the creation of comprehensive unit and functional tests.
• Lead Remote Teams: Excel at working with remote teams and individuals while relentlessly ensuring product quality, agility, and velocity.
• Mentor and Empower: Act as a player-coach to mentor, groom, and educate junior engineers.

What you’ll bring to the role

• 7+ years of experience building Java-based web applications.
• Deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
• Experience thriving in fast-paced software development teams that leverage continuous integration and deployment practices.
• Strong communication skills and the ability to work across functions.
• A powerful security background and a proven track record of championing best practices.

And extra credit if you have experience in any of the following!

• Experience building anomaly detection systems or risk systems is a monumental advantage.
• Expertise in cloud security, identity, and/or authentication protocols.
• Hands-on experience with one or more cutting-edge UI technologies such as Angular, ReactJS, Backbone, and Vue.

(P23225_3240232)

#LI-Hybrid 

#BB-1

The Staff Full Stack Engineer Opportunity

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.

We are looking for an experienced and highly technical full stack software engineer to join the Federated Authentication Platform team. Operating under the larger Access Management group, this team is responsible for building out the authentication pipeline for the Okta Identity Engine leveraging security standards, this platform provides the core orchestration building blocks to create a world class authentication experience.  We are looking for smart, innovative and passionate engineers to join the team.

What you’ll be doing 

• Design, implement, review and troubleshoot highly scalable backend services and APIs.
• Develop and maintain engaging and responsive user interfaces using modern web frameworks.
• Analyze/Refine Requirements with Product Management, bridging the gap between user needs and technical implementation.
• Work with engineering management to scope and plan engineering efforts across the full stack.
• Collaborate with QA, Product Management, Technical Support, Documentation and UX team

What you’ll bring to the role

• 8+ years of experience building and deploying scalable, reliable, mission-critical software, spanning both frontend and backend development.
• Proficiency with at least one Object-Oriented Backend Language (e.g., Java, C#, Python, Go) and modern JavaScript/TypeScript.
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Strong understanding of RESTful API design and interaction.
• Experience working with a system of scale

And extra credit if you have experience in any of the following! 

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD or BDD methodologies.
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, Federation, SSO, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

(P5928_3355117)

#LI-Hybrid 

#BB-1

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Emerging Products Design Team

Emerging Products is an org pillar inside Auth0. We figure out what's next. You'll be designing systems that help developers secure AI agents, manage granular permissions, and build on identity primitives that don't fully exist yet.

Engineers, PMs, and Designers work on the same problems at the same time. There is no design-then-build sequence. There's just build.

What you’ll be doing

When everyone on the team can generate UI, the designer's role shifts. You become the person responsible for taste. For holding the quality bar when speed is pushing everything toward "fine."

• Prototype at volume: Use AI tools and code to explore dozens of directions fast, then narrow based on what works and what solves the actual problem.

• Design in the codebase: Work within our React and Next.js environment to refine components and interactions where users will actually experience them.

• Simplify complexity: Turn authorization models, SDK patterns, and security flows into interfaces that feel clear without losing precision.

• Raise the craft: Help the broader design org see what this way of working looks like in practice. We're all figuring this out together.

What you’ll bring to the role

• You have craft: This matters most. Considered typography, intentional spacing, polished micro-interactions, details that show someone genuinely cared. We're looking for someone with a refined sense of design taste/aesthetics and a deep appreciation for the details that create a polished user experience.

• You build: 6+ years of design experience, but somewhere along the way you started prototyping in the browser, shipping side projects, or writing production code because you wanted the interaction exactly right.

• You have a real AI practice: Not experimentation, but an actual workflow. You have opinions about where AI tools help and where they fall short.

• You design for developers: Tools, APIs, CLIs, SDKs, and admin dashboards. You know "simple" means something different for this audience.

Note for when applying

In your application, please include a link to your portfolio with password (if protected). We prioritize a review of your design craft and any examples of your work in code.

*** This person must attend in person onboarding at the office the first week of employment.

#LI-MM
#LI- Remote

P23595_3245581

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Manager, Demand Generation who will own the strategy and execution of integrated, full-funnel campaigns that drive pipeline and revenue. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Manager, Demand Generation, your key area of responsibility will be building a modern, high-velocity demand generation function, lead a team of campaign professionals, and serve as the central force that transforms how Geotab runs campaigns, moving from activity-based marketing to outcome-driven demand generation. You will need to work closely with AVP, Growth & Demand Generation, Segment Marketing, Digital, ABM, Creative, and Sales.   

To be successful in this role you will be a self-starter with excellent communication skills, a bias toward shipping fast, and the ability to thrive in a high-growth, "build-it-as-you-go" environment. In addition, the successful candidate will have strong performance marketing instincts with the ability to design full-funnel campaigns, manage complex stakeholder alignment, and drive team accountability toward revenue impact.

How you'll make an impact:

• Own the full-funnel demand generation strategy from awareness and consideration through to pipeline revenue.   

• Design and lead integrated campaigns built for how modern B2B buyers buy: AI-influenced research cycles, digital-first discovery, and self-directed evaluation paths.   

• Build and maintain the campaign roadmap, balancing strategic priorities with the agility to move on market moments.   

• Establish campaign tiering and prioritization framework with clear resource models, execution standards, and performance expectations.   

• Lead your team to execute with speed, quality, and consistency, campaigns that are launched on time, on message, and on target.   

• Develop and systematize end-to-end campaign execution frameworks: briefing, build, launch, optimize, report. Make excellence repeatable.   

• Drive multi-channel campaign execution across paid media, email, content syndication, events, webinars, ABM, and digital, in tight coordination with channel owners.   

• Eliminate complexity that doesn't serve performance: streamline workflows, remove bottlenecks, and build processes that make the team faster.   

• Partner with Creative to develop high-converting campaign assets, not just beautiful content, but content built to move buyers through the funnel.   

• Establish the campaign measurement framework: define what success looks like for every campaign, channel, and segment before a campaign launches.   

• Build a culture of experimentation, hypothesis-driven testing of messaging, channels, offers, and formats, with a bias toward shipping fast and learning faster.   

• Partnering with Marketing Operations to own campaign analytics and reporting: pipeline contribution, channel efficiency, conversion rates, content performance, and ROI. Surface insights that drive decisions, not just dashboards.   

• Work with Marketing Ops and Revenue Ops to ensure attribution is clean, data flows correctly, and pipeline reporting is trusted by Sales leadership.   

• Serve as the campaign orchestration hub, bringing together Segment Marketing, Digital, ABM, Creative, Events, and Sales Enablement into a unified, coordinated campaign motion.   

• Work directly with Sales leadership to ensure campaigns convert, including tight feedback loops on lead quality, follow-up rates, and campaign-sourced pipeline.   

• Lead, coach, and develop a team of campaign managers, setting a high bar for output, ownership, and professional growth.   

• Build a team culture defined by accountability, velocity, creative ambition, and relentless focus on revenue impact.   

• Drive the adoption of AI-enabled marketing tools and workflows that give your team a competitive edge in speed and scale.

What you'll bring to the role:

Why job seekers choose Geotab:

Toronto, Canada – Onsite 4 Days/Week (Mon–Thurs)

Relocation required if not local – no relocation assistance provided

For the high-energy lead generation professional, the Sales Development Representative is a great opportunity to help drive demand for our market-leading cloud adoption and management solution. Your proven track record of working strategically with both Marketing and Sales teams in a business development and lead generation capacity will allow you to thrive in our fast-paced, high-activity environment. Partnering closely with the marketing function you will be responsible for contacting prospective customers and for qualifying opportunities for the Okta solution. Working with our seasoned account executives you will research and build pipeline, and help determine our most effective marketing channels. At Okta we believe in promoting from within and with our current growth plans and the acceleration we're seeing in our business, strong performance in this role can lead to upward mobility within the Sales organization.

Our lead generation representatives are high-energy, self-motivated, agile and able to change hats on the fly. In this highly prized role, excellent phone and email skills and the ability to quickly assess customer opportunities will be critical to your success. You will be responsible for accurately tracking customer interactions and information in our CRM system. We're looking for professionals with strong organizational and follow up skills who work well in a team environment. Prior lead generation or sales prospecting experience and a college degree will enhance your candidacy for this role. If this sounds like the type of environment in which you thrive, then we want to talk to you about this career-defining opportunity.

Job Duties and Responsibilities:

• Generate new business opportunities to fuel the sales pipeline
• Efficiently respond and qualify inbound marketing leads
• Help create and prioritize strategic target account lists within a defined territory
• Research and build new and existing accounts (i.e.: adding contacts, emails, strategic calling)
• Conduct high level conversations with Senior Executives in prospect accounts
• Evangelize Okta and the On-Demand mode
• Achieve monthly quotas of qualified opportunities and closed business

Minimum REQUIRED Knowledge, Skills, and Abilities:

• Minimum of 6-12 months of previous prospecting experience
• Salesforce.com experience a plus
• Excellent written/verbal communication skills
• Strong problem solving skills
• Highly motivated, driven and self-starting individual
• Ability to work in a fast paced, team environment
• Ability to understand customer needs and meet that need with a successful product sale
• Excellent time management/organizational skills
• Bachelor's degree from an accredited university

Okta is an Equal Opportunity Employer.

Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located.  We enable a flexible approach to work, meaning for roles where it makes sense, you can work from the office, or from home, regardless of where you live.  Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs.  Find your place at Okta https://www.okta.com/company/careers/. 

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Okta.  More details about Okta’s privacy practices can be found at: https://www.okta.com/privacy-policy.#LI-onsite

#LI-onsite

P14784

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

Why Join Levio?  

• Work on complex, high impact digital transformation projects  
• Collaborate with experienced, multidisciplinary teams  
• Continuously develop your technical and professional expertise  
• Enjoy flexibility, autonomy, and a strong people first culture  
• Be part of an organization that values diversity, inclusion, and innovation  

Role and Responsibilities 

Privacy & Data Protection Architecture 

• Define and maintain enterprise privacy-by-design and privacy-by-default architectures. 
• Architect data protection controls across applications, infrastructure, cloud, and data platforms. 
• Establish standards for data classification, handling, retention, archiving, and secure destruction. 
• Ensure consistent application of data protection controls across on-premise, cloud, and hybrid environments. 

Regulatory & Governance Leadership 

• Architect privacy governance frameworks aligned with GDPR, Quebec Law 25, PIPEDA, and ISO/IEC 27701. 
• Define control baselines, assurance mechanisms, and compliance monitoring models. 
• Support executive decision-making related to privacy risk, compliance posture, and regulatory exposure. 
• Collaborate with legal, internal audit, and GRC teams to ensure regulatory alignment. 

Data Security & Risk Management 

• Architect encryption, key management, and secrets management strategies. 
• Define data loss prevention (DLP) architectures and monitoring mechanisms. 
• Ensure strong access controls and segregation of duties for sensitive data. 
• Lead privacy risk assessments for complex systems, cloud platforms, AI solutions, and analytics environments. 

Data Lifecycle & Enterprise Integration 

• Architect solutions for data discovery, data mapping, and records of processing activities (RoPA). 
• Ensure privacy requirements are integrated into SDLC, DevSecOps, and data engineering pipelines. 
• Support privacy requirements for AI, machine learning, and advanced analytics use cases. 
• Ensure auditability, traceability, and accountability of data usage. 

Third-Party & Cloud Data Protection 

• Define architectures for secure data sharing with third parties and vendors. 
• Establish data protection requirements for outsourcing, SaaS, and cloud providers. 
• Architect controls for cross-border data transfers and data residency requirements. 

Incident & Breach Management (Privacy Context) 

• Support design of data breach detection, response, and notification processes. 
• Act as senior advisor during privacy incidents and regulatory reporting. 
• Ensure evidence collection and documentation meet regulatory expectations. 

Leadership & Advisory 

• Act as the senior subject matter expert for data protection and privacy architecture. 
• Mentor privacy analysts, GRC professionals, and security architects. 
• Communicate privacy risks, architectural decisions, and mitigation strategies to executives and boards. 
• Represent the organization with regulators, auditors, and external stakeholders when required. 

Qualifications and Experience 

• Deep expertise in data protection and privacy-by-design principles. 
• Strong understanding of privacy regulations and standards: GDPR, Quebec Law 25, PIPEDA, ISO/IEC 27701 
• Ability to design enterprise data protection architectures across: Applications, Databases, Cloud platforms, Data lakes and analytics environments 
• Expertise in data classification, data mapping, and records of processing activities (RoPA). 
• Strong knowledge of data security controls: Encryption (at rest, in transit, and in use), Key management systems (KMS, HSM), Tokenization, anonymization, and pseudonymization, Data Loss Prevention (DLP) 
• Experience architecting identity and access controls for sensitive data: Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Privileged Access Management (PAM) 
• Ability to design data retention, archiving, and secure data destruction strategies. 
• Familiarity with cloud-native data protection and governance tools: Azure Purview / Microsoft Purview, AWS Macie, Google Cloud DLP
• Experience integrating privacy and data protection into: DLC and DevSecOps pipelines, Data engineering and analytics workflows
• Ability to assess privacy risks in AI, machine learning, and large-scale data processing systems.
• Strong understanding of logging, monitoring, auditability, and evidence collection.
• Experience with privacy management and GRC platforms: OneTrust, TrustArc, ServiceNow GRC
• CIPP/E, CIPP/C, CIPM, ISO/IEC 27701 Lead Implementer / Lead Auditor, CDPSE, CISSP (an asset)

Compensation (Ontario)  

The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate. 

Estimated salary range: $110,000 to $150,000 per year. 

This posting is a current hiring need.

Benefits and Work Environment  

Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:  

• 4 weeks of cumulative vacation starting from day one  

• Flexible working hours  

• Professional Development Allowance (PDA) for training, computer equipment, and physical activities  

• Training tailored to your areas of expertise  

• Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary  

• Modular group insurance plan 

• Public transportation or parking reimbursement when required  

• Referral bonuses  

• 11 statutory holidays  

• Personal days  

• An active social life (5to7 events, social club, healthy snacks, coffee, and more)  

Position Details  
 

• Employment type: Full time, permanent  
   

Notice on the Use of Artificial Intelligence in Recruitment 

We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. 

Employment Equity  

Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.  

We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.  

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Go-To-Market Manager who will play a critical role in orchestrating the successful launch and lifecycle of our products and solutions. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a  Senior Go-To-Market Manager your key area of responsibility will be orchestrating the successful launch and lifecycle of our products and solutions. This role is a dynamic blend of high-level strategy, meticulous planning, and hands-on execution. This role will be the central hub, aligning Product, Sales, Marketing, and Operations to ensure our innovations make a maximum impact in the market and achieve our revenue targets. If you are a master of cross-functional leadership and thrive on turning great products into commercial successes, we want to hear from you!

How you'll make an impact:

• Develop a comprehensive commercial and Go-To-Market (GTM) strategy encompassing new product introductions and the entire product lifecycle to stimulate revenue growth, enhance profit margins, secure competitive advantage, and expand market share.

• Provide cross functional leadership in  GTM planning cycles for upcoming product/solution releases, ensuring alignment with corporate strategy, product roadmaps, and revenue goals.

• Connect the product road map to the revenue plan:  Develop the strategic business case for new products in partnership with key stakeholders during the discovery phase, ensuring product development is aligned with a validated and profitable path to market. This foundational work includes shaping revenue plans, pricing models, and resource forecasts to secure investment and guide the product roadmap.

• Provide leadership in regular cross-functional GTM readiness meetings providing support to manage dependencies, identify risks, and drive resolution of roadblocks to ensure on-time, high-impact launches.

• Collaborate closely with Product Marketing to ensure messaging, positioning, and launch assets are aligned with the GTM plan and commercial strategy and effectively support sales and partner enablement.

• Partner with sales, Channel Teams, Partner Program, Revenue Operations, Sales Enablement to define launch-specific sales targets, enablement requirements, compensation considerations, and reporting needs. Develop and oversee the execution of channel and direct sales team readiness plan, ensuring they are informed, trained, and incentivized.

• Partner with finance on revenue planning, pricing and costing for new product launches

  Work with Product Management and Operations teams to ensure product, supply chain, etc. readiness in alignment with GTM plan

• Establish and track Key Performance Indicators (KPIs) for launches, such as pipeline generation, adoption rates, partner engagement, and time-to-revenue, creating dashboards with Revenue Operations to monitor success.

• Collaborate with Sales and marketing to sustain launch metrics and implement programs for base retention and expansion

• Define key success metrics for launches (e.g., pipeline generation, adoption rates, revenue attainment, partner engagement, time-to-revenue) and establish dashboards/reporting mechanisms with Rev Ops.

• Drive a culture of continuous improvement by leading post-launch retrospectives (post-mortems) to identify lessons learned and refine our GTM playbook.

• Act as a key conduit, providing structured market, sales, and partner feedback from launch activities back into the product development lifecycle.

What you'll bring to the role:

Why job seekers choose Geotab:

Lush Cosmetics has more than 250 retail stores between Canada and the USA alone, with Manufacturing and Distribution Centers located in both Vancouver, BC and Toronto, ON. 
Lush is known worldwide for our unique bath and beauty products, amazing skin and hair care, personalized customer service, and environmental activism and a fun & funky store atmosphere. We are dedicated to the practices of fair-trade sourcing, providing fair wages for our staff, and supporting sustainable communities, as well as giving back to organizations that can make a difference.
As a growing business, Lush needs people that can adapt and evolve to the needs of our business, analyze and respond to your learner's needs. Our Lush staff live with purpose, finding their personal value connected with the values of our business, bringing their work and life paths into one holistic journey. #lushlife  

We Offer:

• Inclusive working atmosphere where diversity and individuality are valued and celebrated
• Up to 50% off our products both online and at our retail locations
• Safety boot/shoe reimbursement (up to $150 CAD)
• Immediate eligibility for our company-wide bonus program
• Team appreciation events
• Employee and Family Assistance Program (EFAP) A growing, dynamic business where personal development is encouraged
• Complimentary coffee/tea/water in the employee lunchrooms
• Gender neutral restrooms and changing rooms

The Role: Fabrication Technician, Part-Time

Reporting to the Room Manager, the Fabrication Technician is responsible for setting up, calibrating, cleaning, operating, and performing preventive maintenance on various pieces of fabrication machinery. With your knowledge and experience in machine operation, you will be trained on the equipment and tools. As a Fabrication Technician, you bring Lush’s Leadership Practices into all elements of your business: Be Real, Be Curious, Lead Fearlessly, Adapt and Evolve, Grow Talent, and Live with Purpose.

What You Do (Responsibilities):

Operations

• Set up vacuum formers, clickpress, and related fabrication machines & equipment
• Operate vacuum forming machine(s) to fabricate high-quality moulds with RPET, BHIPS, and other industry standard materials
• Operate click press machine(s) and other cutting tools, including, but not limited to, paper cutters and scissors, to trim fabricated moulds to the desired specifications
• Assemble, prepare, organize, and package finished moulds and other fabricated products for dispatching and/ or storing purposes
• Dispatch pallets of mould orders utilizing pallet trucks, forklifts and similar equipment
• Ship via carrier terminals when required
• Cut plywood and other forms of wood to produce the materials necessary for tooling fabrication
• Mix and pour hardening/curing agents, such as, but not limited to, concrete and epoxy resin to form mould casts
• Utilize power tools to shape and refine mould casts
• Perform and document routine cleaning, maintenance, and repairs on machines and equipment to ensure optimal performance and prevent downtime
• Report equipment malfunctions or issues to leadership and collaborate on resolution
• Document production data, complete checklists, and submit reports to the RMT when needed
• Support 3D printing operations by queuing, dismounting, removing structures, cleaning, and swapping materials/ equipment on the 3D printers

Collaboration

• Participate in continuous improvement initiatives and suggest process enhancements
• Collaborate with the Moulds leadership, team members, and support groups to align production goals with overall departmental objectives and to resolve production challenges
• Contribute to a positive team environment focused on learning, safety, quality, and shared success
• Supports new or returning staff as required with onboarding, demonstrations of daily duties and responsibilities, while ensuring safety and SOP guidelines are being followed

Safety

• Follow health and safety protocols, including the use of PPE and proper handling of materials and tools
• Maintain a clean, organized, and hazard-free workspace
• Document and report unsafe conditions or incidents to the appropriate personnel

Quality

• Follow company standards and guidelines procedures during all phases of production
• Conduct quality checks at various stages of production to ensure compliance with product specifications
• Document and report quality concerns to the appropriate personnel

Who You Are (Qualifications):

Required:

• Familiar with vacuum forming, click press, power tools, or other mould fabrication technologies
• Basic technical skills related to equipment setup, operation, and troubleshooting
• Strong attention to detail with the ability to detect errors or defects
• Basic computer literacy for equipment controls and production reporting
• Ability to stand, walk, bend, and lift materials up to 50 lbs for extended periods
• Comfortable working in a fast-paced, high-production environment
• Able to work with moderate noise levels and manufacturing equipment
• Part-time availability: 8hrs/3days a week or 4hrs/5 days a week; flexibility for overtime on Saturdays

Preferred:

• Experience working in a manufacturing, fabrication, or production environment
• Familiar with Lock Out / Tag Out practices
• Technical aptitude/familiarity with machine processes
• Technical qualification/certification
• Computer proficiency and familiarity with PLC controls
• Data entry on Google Workspace and or with equivalent software
• Forklift and or pallet jack experience

How to Apply: Submit the application found in the Colleague Centre on our Internal Job Board. Posting closes Monday, May 11, 2026, at 12:00 pm EST

Need help? Email the recruiter: torontojobs@lush.com

Only select applicants will be considered for this opportunity based on our selection criteria

_{The above information on this description has been designed to indicate the general nature and level of work performed by employees with this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.}

_{At Lush, we believe when we continue to foster a culture of inclusion and respect within a diverse workforce, we are doing our part in building a world where there is equal opportunity for all. We recruit from a variety of employment agencies, community groups, non-profits, and online social and job sites, and in our business practices, strive to leverage the gift that diversity brings. We welcome diverse candidates to our recruitment process.  Lush is committed to providing accessible employment practices. Requests for accommodation can be made at any stage of the recruitment process. Applicants are asked to please make their needs/requirements known.}

_{Lush North America unequivocally supports equal opportunity employment for all applicants regardless of religion, race, color, gender identity or expression, sexual orientation, ancestry, differently abled, adverse mental health, and other characteristics both defined, protected and enforced by the law under federal or provincial/state jurisdiction.}

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Business Development Representative who will be responsible for driving direct and indirect revenue growth within Geotab’s Mid-market and Enterprise Accounts (end customer fleets between 50 to 10,000 vehicles). This role is directly accountable for achieving an ARR (Annual Recurring Revenue) growth target across a prescribed list of Mid-market and Enterprise opportunities by leading complex and consultative sales and pursuit strategies. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Business Development Representative , you will be accountable for achieving an ARR (Annual Recurring Revenue) growth target across a prescribed list of Mid-market and Enterprise opportunities by leading complex and consultative sales and pursuit strategies. This revenue growth target is specific to new and existing Mid-market customer selling and existing Enterprise customer upselling(expansion revenue), where it is determined that the BDR had a measurable (within SFDC) influence on the saleThe BDR acts as a strategic partner and trusted advisor to the Business Development and Partner Account Management leadership team.

How you'll make an impact:

• Manage an assigned list of mid-market and enterprise sales opportunities.

• Build, evaluate, and implement sales strategies to generate new ARR for assigned opportunities.

• Document all selling strategies, engagements, and activities within Salesloft and SFDC to allow for effective revenue forecasting in accordance with minimum forecast accuracy metrics.

• Document all selling strategies, engagements, and activities within Salesloft and SFDC to meet minimum opportunity engagement metrics and qualify opportunities for quota retirement.

• Collaborate with the Business Segment team to align enterprise sales activities to the broader segment strategies for assigned enterprise opportunities.

• Collaborate with other cross-departmental stakeholders, including Revenue Operations and Partner Account Managers, to leverage internal sales systems in accordance with best practices and in a manner that allows for effective oversight.

• Collaborate on RFX process when assigned enterprise opportunities are involved.

• Develop a deep knowledge base of the telematics and fleet management industry and maintain top-of-mind awareness of trends and shifts.

• Develop or maintain a subject matter expertise of the subsegment strategies (segment-specific solutions and sales narratives) for assigned enterprise opportunities.  

• Stay informed on the current competitive landscape in the category including leaders and startups.

• Attend trade shows and speak at conferences to build relationships, brand presence, and thought leadership where it is deemed to be beneficial in pursuit of assigned enterprise opportunities.

• Provide input on new business opportunities, competitive analysis, market trends, and business environment.

• Collaborate with leadership to develop short and long term strategic revenue plans and forecasts.

What you'll bring to the role:

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Why job seekers choose Geotab:

About the Team

The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
• Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
• Be excited to travel to meet with business partners and the teams in each market

We're excited about you because… 

• 3+ years of experience in data analytics, consulting, or related role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• The determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
• Proficiency in at least one programming language (Python, R,...)
• Expertise with SQL queries, ETLs, etc… 
• Proficiency in one or more analytics & visualization tools
• Experience building and training statistical and machine learning models (classifiers, regression models...)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

Toronto: the pay range for this role is $171,000 to $235,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About the role

Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

• Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
• Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
• Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
• Optimize processes for operational excellence in project management and system reliability.
• Ensure security standards are met within data systems and workflows. 
• Ensure and promote data quality standards for accurate and reliable insights.
• Embrace emerging technologies with enthusiasm.

Minimum qualifications

• 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
• Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
• Production-level development experience in Python.
• Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
• Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
• Experience with Airflow, Docker, DBT or similar analytics workflow tools.
• BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

San Francisco: the pay range for this role is $196,000 to $269,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About The Role

The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world’s fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack—from model compilation and scheduling down to custom hardware kernels and driver development.

The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most advanced computing systems ever built. We drive the bring-up of core inference capabilities and deliver performance improvements at every stage of development – from early prototyping to production deployment.

We're looking for passionate engineers to join us in redefining the limits of AI inference. If you thrive on building systems that measure, analyze, and optimize performance at scale, this is your opportunity to make a transformative impact on the future of AI.

Scope of the team includes:

• Core Inference Observability – Design and implement end-to-end telemetry systems across the software stack, providing deep visibility into inference performance and enabling rapid iteration before and after deployment.
• Benchmarking Infrastructure – Architect, build, and scale the automation that generates, analyzes, and visualizes performance data used to inform business decisions across engineering and leadership.
• Performance Analysis – Dive deep into system behavior, dissect performance bottlenecks, and deliver actionable insights that directly influence which features ship and how they evolve.
• Feature Integration – Partner closely with Core Platform teams to define rigorous testing methodologies that validate inference features for peak performance.

Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Systems Engineering, or a related field.
• Proficiency in Python and/or C++ programming.
• Proven experience in building and scaling automated infrastructure.
• Strong background in throughput and performance optimization techniques, especially in complex, large-scale systems.
• Excellent problem-solving skills and a strong analytical mindset.
• Demonstrated ability to dive deep into new domains.
• Ability to work in a fast-paced, ambiguous, and collaborative environment.

Preferred Skills & Qualifications

• Familiarity with problem-solving at the intersection of hardware and software.
• Hands-on experience with AI workloads and architectures is a plus.

Location

• On-site or hybrid at our Toronto office

#LI-WA1

Lush Cosmetics has more than 250 retail stores between Canada and the USA alone, with Manufacturing and Distribution Centers located in both Vancouver, BC and Toronto, ON. 
Lush is known worldwide for our unique bath and beauty products, amazing skin and hair care, personalized customer service, and environmental activism and a fun & funky store atmosphere. We are dedicated to the practices of fair-trade sourcing, providing fair wages for our staff, and supporting sustainable communities, as well as giving back to organizations that can make a difference.
As a growing business, Lush needs people that can adapt and evolve to the needs of our business, analyze and respond to your learner's needs. Our Lush staff live with purpose, finding their personal value connected with the values of our business, bringing their work and life paths into one holistic journey. #lushlife  

We Offer:

• Inclusive working atmosphere where diversity and individuality are valued and celebrated
• Up to 50% off our products both online and at our retail locations
• Safety boot/shoe reimbursement (up to $150 CAD)
• Immediate eligibility for our company-wide bonus program
• Team appreciation events
• Employee and Family Assistance Program (EFAP) A growing, dynamic business where personal development is encouraged
• Complimentary coffee/tea/water in the employee lunchrooms
• Gender neutral restrooms and changing rooms

The Role: Fabrication Technician, Part-Time

Reporting to the Room Manager, the Fabrication Technician is responsible for setting up, calibrating, cleaning, operating, and performing preventive maintenance on various pieces of fabrication machinery. With your knowledge and experience in machine operation, you will be trained on the equipment and tools. As a Fabrication Technician, you bring Lush’s Leadership Practices into all elements of your business: Be Real, Be Curious, Lead Fearlessly, Adapt and Evolve, Grow Talent, and Live with Purpose.

What You Do (Responsibilities):

Operations

• Set up vacuum formers, clickpress, and related fabrication machines & equipment
• Operate vacuum forming machine(s) to fabricate high-quality moulds with RPET, BHIPS, and other industry standard materials
• Operate click press machine(s) and other cutting tools, including, but not limited to, paper cutters and scissors, to trim fabricated moulds to the desired specifications
• Assemble, prepare, organize, and package finished moulds and other fabricated products for dispatching and/ or storing purposes
• Dispatch pallets of mould orders utilizing pallet trucks, forklifts and similar equipment
• Ship via carrier terminals when required
• Cut plywood and other forms of wood to produce the materials necessary for tooling fabrication
• Mix and pour hardening/curing agents, such as, but not limited to, concrete and epoxy resin to form mould casts
• Utilize power tools to shape and refine mould casts
• Perform and document routine cleaning, maintenance, and repairs on machines and equipment to ensure optimal performance and prevent downtime
• Report equipment malfunctions or issues to leadership and collaborate on resolution
• Document production data, complete checklists, and submit reports to the RMT when needed
• Support 3D printing operations by queuing, dismounting, removing structures, cleaning, and swapping materials/ equipment on the 3D printers

Collaboration

• Participate in continuous improvement initiatives and suggest process enhancements
• Collaborate with the Moulds leadership, team members, and support groups to align production goals with overall departmental objectives and to resolve production challenges
• Contribute to a positive team environment focused on learning, safety, quality, and shared success
• Supports new or returning staff as required with onboarding, demonstrations of daily duties and responsibilities, while ensuring safety and SOP guidelines are being followed

Safety

• Follow health and safety protocols, including the use of PPE and proper handling of materials and tools
• Maintain a clean, organized, and hazard-free workspace
• Document and report unsafe conditions or incidents to the appropriate personnel

Quality

• Follow company standards and guidelines procedures during all phases of production
• Conduct quality checks at various stages of production to ensure compliance with product specifications
• Document and report quality concerns to the appropriate personnel

Who You Are (Qualifications):

Required:

• Familiar with vacuum forming, click press, power tools, or other mould fabrication technologies
• Basic technical skills related to equipment setup, operation, and troubleshooting
• Strong attention to detail with the ability to detect errors or defects
• Basic computer literacy for equipment controls and production reporting
• Ability to stand, walk, bend, and lift materials up to 50 lbs for extended periods
• Comfortable working in a fast-paced, high-production environment
• Able to work with moderate noise levels and manufacturing equipment
• Part-time availability: 8hrs/3days a week or 4hrs/5 days a week; flexibility for overtime on Saturdays

Preferred:

• Experience working in a manufacturing, fabrication, or production environment
• Familiar with Lock Out / Tag Out practices
• Technical aptitude/familiarity with machine processes
• Technical qualification/certification
• Computer proficiency and familiarity with PLC controls
• Data entry on Google Workspace and or with equivalent software
• Forklift and or pallet jack experience

How to Apply: Submit the application found in the Colleague Centre on our Internal Job Board. Posting closes Monday, May 11, 2026, at 12:00 pm EST

Need help? Email the recruiter: torontojobs@lush.com

Only select applicants will be considered for this opportunity based on our selection criteria

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S'more about the team

The Loyalty & Virality tribe is at the heart of HelloFresh's customer retention and organic growth strategy. We build the products and systems that keep customers engaged, rewarded, and excited to share HelloFresh with others. Our teams own loyalty and rewards programs, referral systems, viral growth mechanics, and personalized re-engagement experiences — all operating at a global scale across multiple brands and markets. We combine deep product thinking with data-driven experimentation and increasingly leverage AI to deliver smarter, more personalized customer experiences. If you're passionate about building systems that turn happy customers into loyal advocates, this is the team for you.

You can get a taste of what we've been working on by checking out our tech blog.

Lettuce share what this role will be responsible for

• You will be a senior technical authority within the Loyalty & Virality tribe — setting architectural direction, driving technical excellence, and mentoring engineers across the team. This is a high-impact individual contributor role with significant influence over how we scale our referral and virality systems globally
• Define and drive the technical strategy for our referral and virality platform, ensuring systems are flexible, resilient, and scalable across all HelloFresh brands and markets
• Take end-to-end ownership of the architecture, design, development, deployment, and operations of the Share squad’s microservices
• Champion the adoption of AI in the squads and machine learning across the tribe, identifying opportunities for personalization, predictive engagement, and intelligent reward optimization.
• Be an active, solution-oriented member of an autonomous, cross-functional agile team, collaborating closely with Product Owners, Engineers, Designers, and BI teams in your direct team and across the organization
• Communicate effectively across the engineering organisation and facilitate technical alignment among stakeholders and colleagues with different interests.
• All other duties, as assigned
  
  
  

Sound a-peeling? Here's what we're looking for

• Strong experience with microservice architecture, event-driven systems (ie: Kafka, RabbitMQ), and distributed architectural patterns.
• Hands-on experience with Docker and container orchestration technologies such as Kubernetes, as well as CI/CD practices.
• Proficiency with relational and document databases, including PostgreSQL, MySQL, and/or MongoDB.
• AI proficiency and advocacy. Hands-on familiarity with AI technologies and a track record of championing their adoption, whether through AI-assisted development workflows, ML-driven product features, or leveraging LLMs to accelerate team productivity.
• Proficiency or hands-on production experience in Golang or Python
• Excellent communication skills. Interacting with frontend developers, designers, product managers, and global teams is part of the day-to-day. You can influence without authority and bring clarity to complex technical topics.