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

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

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.

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 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 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

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

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

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

This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.

About OpenTable:

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.

Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.

The Role

Reporting to the Manager, Revenue Strategy and Operations, this position is responsible for supporting a variety of sales and services related programs, initiatives, and analytics in North America. Candidates for this role must have experience manipulating large sets of data to discover trends and make recommendations. The role will work cross-functionally with multiple departments including executive leadership, sales, marketing, operations, finance, engineering, and data analytics to support the design, implementation and continued optimization of multiple business needs. This includes delivering data-driven insights to internal partners to inform short and long term strategy and action plans. The ideal candidate will be able to recognize and understand the relationship between clean data, clear & efficient processes, and reporting.

The Sr. Analyst level position is expected to have an excellent understanding of the OpenTable Sales and Services and Marketing organization, the ability to learn quickly, and to be able to work in ambiguity. You'll be able to navigate the roles, reporting, and reality of the business in the field. This position needs to have excellent communication, project management and data analysis skills and be comfortable building recommendations and owning stakeholder relationships. Experience with Salesforce, SQL queries, BI tools (Preset, Tableau, Power BI, Looker) and a finance, analytics or strategy background highly preferred.

Responsibilities

• Sophisticated analytics to support global Sales, Services, and Marketing decisions, including recurring monitoring of key performance metrics and the health of specific business segments
• Prepare and present analyses and narratives for audiences ranging from field sales to senior leadership
• Translate data sets into impactful insights, recommendations, dashboards, and reports for the larger sales, marketing and operations teams
• Cultivate and manage strategic relationships with various sales leaders, partnering with them to drive key initiatives and measurable results across diverse business segments
• Manage flow of inbound requests from the Global Restaurant Sales and Services (RSS) team for various ad hoc analyses, reporting needs, process and system enhancement requests
• Partner with Salesforce and BI teams to implement process and data optimizations
• Build and maintain financial models, forecasts and dashboards for various business scenarios
• Salesforce.com (SFDC) data stewardship and improvement; dashboard and report creation and upkeep; end user support and documentation management

Skills

• 3-5+ years of experience in analytics and at least 2 years of experience leading Analytics efforts with an organization
• Experience with Snowflake or any other relational database
• Strong SQL skills + Experience with design and development of ETL processes
• Advanced proficiency with data visualization tools (e.g., Preset, PowerBI, Tableau) to build self-serve dashboards
• Advanced Excel/Google Sheets skills (e.g., pivot tables, V/XLOOKUP, INDEX/MATCH) required
• Operational experience in measuring and improving efficiency, utilization, scale initiatives, etc
• Proactive, advanced user of AI and automation tools (e.g., generative AI, code copilots, workflow automation) to accelerate analysis, improve quality, and operationalize repeatable workflows.
• Experience with Google Platforms: Google Analytics, Google Ads, Google Search a plus
• Strong preference for experience with marketplace dynamics and pricing analysis (e.g., pricing, discounting, yield analysis)
• Strong data quality and debugging mindset; ability to reconcile results and resolve issues with BI/Engineering
• Proven ability to effectively manage multiple stakeholders
• Strong verbal and written communication skills, including detailing business processes and requirements
• Excellent analytical, reporting, problem-solving, negotiation, and project coordination skills
• Experience with LTV/CAC, commission/incentives, and sales territory management a plus
• Experience with Google Platforms (Google Analytics, Google Ads, Google Search) a plus
• Understanding of sales process within OpenTable, or equivalent sales process experience
• Quick-thinking, self-starter with a strong sense of ownership and ability to manage competing priorities in a fast-paced environment
• High energy, growth mindset, and strong sense of curiosity; willingness to take on tough projects

Benefits and Perks

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to Headspace
  • Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Paid volunteer time
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 20 days of paid time off
• Private health and dental insurance
• Life and Disability insurance

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses, is $84,000-$95,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus.

Work Environment & Flexibility

At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.

Inclusion

We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves.

If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.

#LI-LR1

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Auto Repossession & Remarketing 

We’re looking for a Senior Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to rethinking and rebuilding our auto repossession and remarketing platform, a system that directly influences how vehicles are recovered, processed, and remarketed across Canada’s automotive ecosystem. This is an AI-first engineering role—not in name, but in practice. You’ll continuously evaluate where AI (including LLMs and agentic tools) can meaningfully improve engineering velocity, system quality, and operational efficiency, while applying strong judgment about where it should not be used. 

You’ll help shape architecture, influence technical direction, and own what you build—from design to production. The impact is real, the scale is national, and the responsibility is genuine. 

What You’ll Do: 

Build & Evolve Critical Systems 

• Rethink and reshape core workflows based on a deep understanding of auto repossession and remarketing processes.
• Design and implement scalable, resilient systems using modern architectural principles: clear service boundaries, modularity, and observability.
• Incorporate LLMs and AI-driven components to improve data validation, document processing, and operational decision-making.
• Use AI-assisted and agentic coding tools to accelerate development—while maintaining high standards for correctness, security, and maintainability. 

Own Architecture & Technical Decisions 

• Drive architectural discussions and decisions, balancing pragmatism with technical excellence.
• Set and enforce high quality bars for new services and modules, with a focus on testability, performance, and reliability.
• Identify and reduce technical debt in ways that measurably improve developer velocity and system robustness. 

Build With an Ownership Mindset 

• Work across the full software lifecycle: design, build, deploy, operate, and iterate.
• Embrace a “you build it, you run it” DevOps mindset alongside your team.
• Make thoughtful trade-offs between effort, quality, and user value—always with accountability for outcomes. 

Collaborate & Lead 

• Work closely with product managers, designers, and other engineers in an agile, cross-functional team.
• Contribute ideas, challenge assumptions, and continuously improve how we build software.
• Mentor and support other engineers through code reviews, design discussions, and technical leadership. 

What We’re Looking For:

• A senior engineer who owns results, not just implementations.
• Someone who enjoys complex problem-solving and isn’t afraid of legacy systems—or changing them.
• Strong engineering fundamentals: clean code, testing discipline, system design, and performance awareness.
• Strong experience with TypeScript and modern React / Next.js
• Strong experience building production systems with .NET (Core / modern .NET preferred).
• Comfort operating in production environments and learning from real-world feedback.
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.
• Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. You should demonstrate the ability to integrate AI-driven solutions into your daily work — such as code generation, debugging, reviews, documentation, and decision support—to improve efficiency for yourself and your teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued. 

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

We are looking for a talented Senior Product Designer who can help shape Okta’s expansive product portfolio by bringing exceptional craft and fresh perspective to the world of identity and security.

Finer print

You will join a team of AI first designers and researchers supported by leadership who work collaboratively to deliver delightful solutions to complex identity problems. As a centralized design team, we have a high degree of autonomy and ownership towards the outcomes we drive for our customers. We also work closely with our Product Management and Engineering counterparts to ensure our solutions are not only user-centric but also technically feasible and aligned with business needs. Together, we collaborate to define problems, explore innovative solutions and deliver seamless experiences that enhance security and usability for our customers.

What you will do

• Drive and execute an ambitious product design strategy for your team ensuring a meaningful impact on both user experience and business outcomes.
• Bring a systems-thinking lens to the conversation and connect the dots between user insights and business goals to create experiences that keep millions of customers safe every day.
• Drive impact by framing problems and exploring solutions in collaboration with user research, UX writing, product management, engineering, marketing, and data science to deliver best in class experiences. You will have the opportunity to lead through influence.
• Design end-to-end flows that involve multiple personas – IT Admin, Security admins, End-user – and consider complex use cases that span the Okta portfolio ensuring that every user of Okta can do their work efficiently while staying secure.
• Perfect the details to design scalable and usable design patterns that drive a lasting impact, ensuring they not only meet a high bar for design quality and efficiency but also enhance efficiency and consistency across the product.
• Regularly present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership to drive alignment, showcase design impact and influence key product decisions.
• Advocate and encourage thoughtful use of AI for brainstorming and iterating on potential solutions, prototyping, and collaborating with team members

What we are looking for

• You easily move between big picture thinking and being detail-oriented. 
• You’re curious and have experience incorporating AI into your design process, including the ability to craft tools, iterate on ideas collaboratively with AI, and document sophisticated prompts for scaled use.
• Evaluate AI-generated outputs for technical accuracy, design system adherence, and ease of use to serve as a necessary quality bar before designs move to production
• You keep user goals at the heart of your solution and can also balance business objectives and engineering considerations.
• You thrive in ambiguous environments and know when to lead versus when to lean on your team members.
• You build and share empathy with people in order to deeply understand them and their needs.
• You are someone who sees design as a partner with PM and Engineering in shaping strategic and operational product and UX outcomes 
• You are comfortable owning all stages of design for multiple teams within a given product area.
• You are passionate about upholding design UX principles 
• You showcase story telling skills to communicate your design ideas to a variety of stakeholders. 
• Your portfolio will show that you've worked on complex and challenging technical projects across all aspects of the design process (generative and evaluative research, discovery, interaction design, information architecture, visual design, etc.)
• You share our values, and work in accordance with those values

Qualifications

• Bachelor's degree in a related field or relevant work experience as a product designer.
• Proficient in Figma, Miro, Balsamiq and/or similar design tools.
• 5+ years of experience as a Product Designer.

P10881_3420878
#LI-MM
#LI-Hybrid

Okta is seeking a highly proficient GEO Content Specialist to execute content-focused Generative Engine Optimization (GEO) strategies for Okta and Auth0. This is a mid-level individual contributor role focused on ensuring content is optimized for visibility and retrieval in the evolving landscape of AI Search/GEO/AEO. The ideal candidate is a reliable self-starter with a strong understanding of content, SEO, and the mechanisms of Large Language Models (LLMs).

Core Responsibilities & Execution

• Content Optimization:
• Execute the strategy for structuring and optimizing content to promote content retrievability by LLMs
• Develop and refine content blocks to be machine-parsable and aligned with semantic density and emerging AI answer formats.
• Understand how content must be shaped for LLM visibility and apply best practices while adhering to brand and quality standards.
• Identify opportunities by reviewing GEO prompt data, analyzing competitors, and thinking creatively about content needs for the business
• GEO Knowledge & Application:
• Maintain a working knowledge of how LLMs function, relevant KPIs, and content-related GEO best practices.
• Apply concepts such as vector embeddings, RAG, grounding, chunks, passages, and citations in daily content work.
• Stay current on industry changes related to GEO/AEO/AIO and the future of organic visibility.
• Data & Workflow:
• Utilize a data-driven approach to execute content tasks and identify content performance trends.
• Collaborate with Content and Digital Strategy teams to ensure optimized content is published effectively.
• Manage assigned content tasks effectively, meeting deadlines and quality standards.
• Leverage AI in content analysis, editing and production workstreams to improve efficiency and output

Qualifications

• 4+ years of professional experience in SEO, digital marketing, or content strategy, with a focus on content optimization and/or content development
• Understands how content is rewarded in both LLMs and modern-day search ranking algorithms (this position is not about traditional SEO keyword optimization)
• Familiarity with current GEO concepts and the role of LLMs in search
• Working knowledge of SEO/AI Search platforms such as SEMRush, BrightEdge, Ahrefs, Profound, and Google Search Console.
• Proficiency in data analysis and insights gathering for content output and performance tracking
• Strong communication skills, with the ability to articulate content requirements and results clearly
• Experience using Adobe Experience Manager (AEM) or a similar enterprise-level CMS.
• Background in the Identity and Access Management (IAM), B2B marketing, SAAS, or the cybersecurity domain is preferred, but not required.

#LI - Hybrid

#P24088_3363970

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. Ink is Carta’s Design System – the underlying foundation for how all of Carta looks and feels. Our focus is to make Financial Technology safe, intuitive, performant, and fun (yes, we said that).

As a Senior Design Systems Engineer, you’ll work to: 

• Architect and evolve the Ink component library: You will build and maintain robust, production-ready React components that blend rigorous design system standards, intuitive developer ergonomics, and extensible API design.
• Redefine the Design System for the Agentic Age: You will lead the R&D on how our design system evolves to support AI-driven interfaces. You will update our definition of a design system to accommodate generative workflows, ensuring Ink is optimized for both human developers and AI agents.
• Bridge the gap between design and code: You will act as a technical translator, taking concepts from Figma and turning them into performant UI code, ensuring that the "polish" of the design is never lost in translation.
• Elevate frontend quality and developer velocity: You will drive cross-functional projects to improve animation fluidity, CSS architecture, and system modularity, helping product teams solve 80% of their UI problems instantly so they can focus on the unique 20%.
• Coach and advocate for system adoption: You will mentor engineers and designers across the organization, conducting code reviews and design reviews to ensure best practices are met, while gathering feedback to iteratively improve the system’s flexibility and ease of use.

The Team You'll Work With

You’ll be joining our Design System team “Ink”. Ink is where visual design, user experience best practices, and modern React architecture fuse together to create a beautiful set of tools that allow teams to create great products fast. Our ultimate purpose is to enable great design at scale. We are a team that sits at the intersection of design and engineering; we build the foundational components, tooling, and documentation that empower hundreds of Carta engineers and designers to ship consistent, high-quality, and accessible interfaces.

About You

We are seeking an opinionated but humble builder who cares deeply about the craft of software and the details of design. You have likely built or maintained a component library before and understand the unique challenges of serving other developers as your primary customers.

• 7+ years of relevant experience recommended: Specifically in frontend engineering with a strong focus on design systems, AI-assisted development, or UI infrastructure.
• AI-Forward Innovator: You are actively pushing the limits of what design systems can do with AI. You are eager to explore how component APIs, tokens, and documentation can be optimized to support AI development patterns and the future of agentic UI.
• Systematic Thinker: You have a track record of replacing custom, one-off UI with modular, reusable solutions, and you can articulate the trade-offs of API design decisions to both engineers and designers.
• React & CSS Expert: You possess deep, expert-level knowledge of React (modern patterns, hooks, context), CSS (architecture, scalability), and animation technologies  such as CSS Animations, Framer, and D3. You write code that is not just functional, but a joy for other developers to use.
• Design Fluent: You are comfortable working and collaborating  inside Figma. You understand the nuances of interaction design and can prototype complex UI behaviors to validate concepts before they reach production.
• Champion of Quality: You have a "polish-oriented" mindset. You sweat the details on accessibility, performance, and visual fidelity, ensuring that our system sets a high bar for the rest of the company.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

•  $181,050 - $213,000 CAD in Waterloo, Ontario, Canada; Toronto, Ontario, Canada

We are hiring for multiple levels and locations, so final offers may vary from the amounts listed based on geography, experience and expertise, and other factors.

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

PagerDuty is seeking a Principal Product Designer to join our diverse, customer-focused team! As Principal Product Designer,  you will join our UX team and lead design strategy for our AI and Automation team, partnering with senior leadership, product management, engineering, and data science teams. You will define the vision and execution for how AI agents, automation workflows, and intelligent insights are experienced across the PagerDuty Operations Cloud, ensuring our AI capabilities are intuitive, trustworthy, and transformative for technical operations teams. This is an exciting opportunity to pioneer the future of AI-driven operations at scale, shaping how thousands of organizations leverage autonomous agents and intelligent automation to prevent incidents, accelerate resolution, and improve operational resilience. The ideal candidate has deep expertise in AI/ML product design, a track record of leading design for complex technical products, and a passion for making cutting-edge technology accessible and valuable to practitioners.

If you live in the Atlanta or Greater Atlanta area, this role is expected to come into our Toronto office 2 days a week, so you can thrive in your new role and fully embrace being a Dutonian!

KEY RESPONSIBILITIES

• Define and drive the design vision for PagerDuty's AI and automation capabilities, including AI agents
• Lead cross-functional collaboration with AI/ML engineers, product managers, and data scientists to translate complex AI capabilities into intuitive, trustworthy user experiences
• Establish design principles and patterns for AI transparency, explainability, and user control that build confidence in autonomous and semi-autonomous systems
• Mentor and guide designers across the organization on AI/UX best practices, fostering a culture of innovation and excellence
• Conduct strategic research to understand how technical teams adopt and trust AI-driven recommendations, automation, and insights in mission-critical contexts
• Partner with product leadership to shape the AI and automation roadmap, balancing innovation with user needs and technical feasibility
• Represent design in executive-level discussions and contribute to company-wide AI strategy and product positioning

BASIC QUALIFICATIONS

• 10+ years of experience in product design, UX design, or interaction design with a focus on complex technical products
• 3+ years of experience designing for AI/ML products, intelligent systems, automation platforms, or data-driven applications
• Demonstrated experience leading design strategy and influencing product direction
• Portfolio showcasing expertise in AI/UX, conversational interfaces, automation design, or intelligent agent experiences

PREFERRED QUALIFICATIONS

• Experience designing for developer tools, DevOps platforms, or technical operations products
• Deep understanding of AI/ML concepts including LLMs, generative AI, predictive models, and agentic systems
• Track record of establishing design systems, frameworks, or principles that scale across product teams
• Strong thought leadership through speaking, writing, or contributing to the design community
• Experience working in high-growth SaaS or enterprise software companies with complex technical audiences

The Canadian base salary range for this position is 159,000 - 209,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

About the Role

PagerDuty is seeking a Director of Pricing & Monetization to own the strategy and execution of how we package, price, and monetize our Operations Cloud platform.  This role sits within our Product Development organization and reports to the VP of Product Strategy & Growth.

This is a product-first role. You'll bring the same rigor to pricing that a great PM brings to a product: deep customer empathy, structured experimentation, clear feature tiering frameworks, and a bias toward measurable outcomes. You'll also be the connective tissue between Product, Sales, Finance, and Marketing, ensuring pricing strategy translates into field execution and commercial results. This role owns the full lifecycle from recommendation to implementation to operations. You'll be the decision-maker on deal desk, discounting, and promotions in real-time. 

The ideal candidate has operated at the intersection of product management and monetization in a later-stage B2B SaaS environment. You've owned packaging decisions end-to-end, built monetization infrastructure, and have the credibility to influence both product roadmaps and sales motions.

What You'll Own

Product & Monetization

• Define and evolve PagerDuty's packaging architecture — tiers, feature placement, usage-based levers, and entitlement frameworks — in partnership with Product and Engineering
• Build and maintain a monetization review process so product teams bring pricing strategy into roadmap decisions early, not as an afterthought
• Lead SKU design and experimentation: develop frameworks for how we create, test, and iterate on packaging changes quickly and safely
• Own the monetization platform roadmap — usage tracking, entitlement flexibility, SKU experimentation velocity — in partnership with Engineering and Revenue Systems
• This person is the cross-functional decision-maker across product, design, and engineering for what we build (including feature frameworks, entitlements, and metering) for how we take products to market. Owning the full lifecycle across plan to execution and operations
• Provide pricing and packaging leadership to other product teams across the portfolio

Go-to-Market Execution

• Operationalize pricing for the field: discount governance, approval workflows, customer-facing messaging, and enablement materials
• Lead packaging migration execution as we transition legacy customers to our modern Operations Cloud plans — including cohort strategy, field playbooks, and customer communication
• This person is expected to be a cross-functional decision-maker for GTM, Technology, and Revenue Operations teams

Feedback, Analysis, and Planning

• Track and report on pricing initiative performance — win rates, discounting patterns, migration progress, ARR impact by segment
• Build or leverage financial modeling capabilities (in partnership with Finance) to evaluate pricing scenarios and segment-level impact
• Get in front of customers regularly to pressure-test pricing assumptions and surface friction points

What You'll Build

This role inherits and grows an existing pricing and monetization foundation that includes:

• Billing & quoting infrastructure — core systems supporting deal execution and revenue operations, with opportunity to improve velocity and flexibility in partnership with Engineering and Revenue Systems
• Pricing calculators and field tools — internal tools used by the field to size and quote deals, currently in active development
• Discount approval workflows — existing governance structure for deal-level pricing decisions
• SKU architecture — a portfolio of plans spanning our legacy and modern Operations Cloud offerings, currently mid-migration
• Partner with executive leadership to align pricing strategy with company-level ARR and growth targets

The opportunity is to modernize this foundation so pricing decisions and actions happen faster, and go-to-market teams have tools they trust and actively use.

You'll lead and grow an existing small team:

• Pricing Analyst — supporting financial modeling and plan analysis
• Pricing Manager — focused on SKU migrations and pricing execution
• Technical PM / Monetization Ops — scaling infrastructure work
  
  

Your job is to elevate this team from execution support to a strategic pricing function that product and sales teams actively seek out.  We're looking for people who have...

Basic Qualifications

• 10+ years in B2B SaaS in roles spanning product management, pricing strategy, and/or monetization
• Demonstrated experience owning packaging architecture and feature tiering decisions — not just supporting them
• Track record of running pricing experiments and measuring commercial impact
• Strong cross-functional credibility with Sales, Finance, Product, and Go-To-Market leadership
• Experience managing pricing change in the field — migrations, repackaging, new monetization models — with the communication skills to bring stakeholders along
• Ability to mentor and grow other pricing and product roles
  
  

Preferred Qualifications

• Experience at a company during transition to usage-based or consumption pricing
• Familiarity with monetization infrastructure (entitlements, billing systems, SKU tooling)
• Familiarity with B2B SaaS deal structures, discount governance, and revenue recognition considerations
• Has led or contributed to pricing strategy at a company scaling toward $1B+ ARR
  
  

What Success Looks Like

3 months

• Deep understanding of current SKU architecture, billing systems, and field pricing dynamics
• Relationships established with Sales Strategy, Deal Desk, Finance, and key Product leaders
• Monetization review process proposed — ensuring product teams bring pricing decisions forward early
  
  

6 months

• 1–2 packaging experiments launched and instrumented (e.g., new tier, usage-based pilot, feature unbundling)
• Go-to-market and customer-facing pricing tools meaningfully improved — measurable increase in field confidence and usage
• Discount governance strengthened — clear ownership and sign-off process for deal-level exceptions
• SKU creation process improved — clear ownership, documented process, and faster turnaround
  
  

12 months

• Measurable ARR impact: improved win rates on Operations Cloud, reduced discounting frequency, or accelerated legacy SKU migration progress
• Monetization infrastructure roadmap in flight — billing and quoting systems have a credible modernization path
• Entitlement flexibility improved — product teams can run pricing experiments with greater speed and independence
• Pricing function is seen as a strategic partner across Product, Sales, and Finance
• Team is performing with high agency and developing toward expanded scope

The base salary range for this position is 156,000 - 236,500 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

 **This role is expected to come into our Toronto office 2 days a week, so you can thrive in your new role and fully embrace being a Dutonian!**

The Senior Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. The ideal candidate possesses the below qualifications and is willing to travel up to 25% of their time for in-person customer meetings. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customers’ IT, Engineering and Support organizations.
• Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Basic Qualifications:

• 8-10 years of relevant customer-facing experience and a demonstrated track record of success
• Proficiency in developing comprehensive business value ROI models, with an ability to drive strategic decision-making and deliver tangible results
• In-depth expertise in SaaS business models, including a strong understanding of market trends, competitive landscapes, and customer needs
• Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring 

Preferred Qualifications:

• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Knowledge of PagerDuty products and platform features/capabilities 
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is 112,000 - 154,900 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

This role is expected to come into our Toronto office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian!

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 Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

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

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

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 + 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 Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

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

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

We believe that our people are our greatest asset, and the technology that supports them is crucial to our success. Within Corporate Engineering, IT, Privacy and Security teams, we’re focused on partnering with our business customers and stakeholders to elevate their impact to game-changing status. Our strategic initiatives, formulated through our customer-obsession culture, deliver the technology they need to increase their velocity and impact. We're seeking an experienced Senior TechOps Program Manager to drive high-impact, high-value initiatives that propel Lyft forward. The ideal candidate will partner cross-functionally with business leaders and technology delivery teams, serving as the critical connection point that ensures our organization moves with unified purpose and measurable impact.

If you are a candidate who has the vision of what could be, who has the ability to cultivate relationships, and a bias for driving impact, then you may be the ideal person for this position. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds. 

Responsibilities:

• Lead end-to-end program delivery for complex, multi-year initiatives such as financial technology transformations (Oracle, Anaplan), people technology transformations (Workday, Greenhouse), sales technology rollouts (Salesforce), IT infrastructure transformations (network engineering, systems engineering, identity management, and/or IT service management), privacy compliance programs (GDPR, CCPA), and security implementations
• Execute strategic planning sessions and cross-functional prioritization with Corporate Engineering, IT, Privacy and Security leadership teams to align program roadmaps with business objectives
• Manage program governance through biweekly and monthly strategic initiative reviews, risk assessments, and executive reporting that drives accountability and informed decision-making
• Orchestrate cross-functional program teams spanning engineering, IT operations, security, privacy, compliance, and business stakeholders to ensure seamless program delivery
• Drive enterprise technology lifecycle management including vendor selection, contract negotiations, system integrations, and sunset/migration planning
• Proactively manage program risks and dependencies, implementing course corrections and executive stakeholder communications to keep initiatives on track
• Partner with finance and strategy teams to manage program budgets, track ROI, and optimize resource allocation across the technology portfolio

Experience:

• 8+ years executing complex transformation programs in operations, consulting, strategy, or enterprise technology
• 6+ years leading enterprise technology program delivery, with demonstrated experience in ERP implementations (Oracle Financials) and post acquisition (M&A) technology integrations
• Ideal candidate also has experience supporting one of the following: HCM platforms (Workday, Greenhouse),  CRM rollouts (Salesforce), IT infrastructure and operations (network engineering, systems engineering, identity management, endpoint/MDM management, SaaS and collaboration platform migrations, and/or IT service management), security tool deployments, or privacy compliance initiatives
• Proven track record executing full-cycle transformations from business case development through implementation, change management, and operational handoff
• Experience leading privacy and security programs such as GDPR/CCPA compliance, security framework implementations, identity management systems, or data governance initiatives
• Experience leading enterprise-wide AI and automation initiatives by identifying high-impact generative AI opportunities to optimize processes and drive a culture of continuous operational excellence
• Strong executive communication skills with ability to manage up to C-level stakeholders and translate complex technical and regulatory requirements into business impact
• Demonstrated experience managing technology vendors, complex procurement processes, and success managing technology budgets exceeding $1M annually
• Track record coordinating cross-functional teams across IT, Engineering, Security, Privacy, Compliance, Finance, HR, and business operations
• Strong business acumen with the ability to identify strategic needs, lead all aspects of planning, and generate alignment with key business partners
• Forward-thinking strategist with proven success in translating strategy to tactical plans with high-quality execution and delivery.
• An empathetic leader style and a strong sense of self-awareness

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $122,000 - CAD $152,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

Our core corporate functions (Finance, Supply Chain) are critical to Lyft's success. The health and sustainability of our applications, systems, tooling, and processes are critical for daily operations and for Lyft's ability to grow. This Business Systems Engineer is primarily a functional role with an experience in the Oracle Fusion Record to Report (R2R) process domain, complemented by a working exposure to technical tools that support and extend those functional capabilities. This engineering role provides support for Lyft’s Corporate systems, managing their enhancements and incidents, implementing effective monitoring and alerting tools, creating automated workflows, building customer solutions, configuring applications, providing end user training and protecting all system related information.

To effectively support our business stakeholders, candidates for this role must be proactive, detail oriented, highly subject oriented, analytical, service focussed and possess the ability to execute the following skills.

Responsibilities:

• Serve as a skilled Oracle Fusion Record to Report (R2R) Techno-Functional professional, acting as bridge between business and technical teams to support and continuously enhance ERP Financial modules within Oracle Fusion Cloud Applications.
• Possess functional experience across core Financial modules including General Ledger (GL), Sub-ledger Accounting (SLA), Account Reconciliations, Fixed Assets, Cash Management, Fusion Accounting Hub (FAH), Account Payables and Receivables.
• Configure and maintain Oracle Fusion GL components including Chart of Accounts (COA), Accounting Calendars, Ledgers, Legal Entities, and Business Units to support Lyft's financial reporting structure.
• Experienced in configuring new Sub-ledger Accounting (SLA) rules, journal entry rule sets, and accounting method configurations to ensure accurate and compliant financial postings from all sub-ledgers (AP, AR, Fixed Assets, Projects, Third-Party).
• Hands-on knowledge of Cash Management, including bank account configuration, configuring new rules, bank statement reconciliation, and period-close activities.
• Experienced in Fixed Assets, including asset creation, categorization, depreciation methods, mass additions, asset retirements, and reconciliation of the Fixed Assets sub-ledger to the General Ledger to ensure accurate capital reporting.
• Partner with Finance stakeholders to gather, document, and translate business requirements into functional Oracle Fusion configurations and process designs.
• Must be able to quickly engage in calls with the Business and stakeholders to provide immediate support during critical periods, such as the month-end close process or any other high-priority task.
• Leverage SQL, PL/SQL, BI, OTBI reporting tools to drive data-driven insights and reporting solutions.
• Develop simple custom financial reports, dashboards, and analytics using OTBI and BI Publisher to meet the reporting and analytics needs of Finance and Accounting teams.
• Maintain good level knowledge of Accounting and Basic Business Process Flows, with solid exposure to data migration using FBDI (File-Based Data Import).
• Conduct functional testing (FUT), user acceptance testing (UAT), develop test scripts, and validate end-to-end scenarios for patches, quarterly updates, and new feature releases.
• Coordinate and manage design, development, and testing activities across project phases to ensure timely and high-quality delivery
• Support SOX compliance by documenting key controls, preparing audit evidence, and ensuring system configurations adhere to internal control requirements.
• Work with Oracle Support by raising and managing Service Requests (SRs), driving through to timely resolution.
• Show interest in Technology Innovation by staying ahead of emerging trends including Generative AI and Agentic AI to proactively identify and implement opportunities that drive system performance and operational efficiency.
• Create configuration workbooks, BR100, Functional Specifications, maintain thorough, up-to-date documentation of system configurations, SLA rules, integrations, and business process flows.
• Proficient in applying both Agile and Waterfall project methodologies across development, testing, and release activities, with the ability to adapt to the delivery model best suited to the project requirements.

Experience:

• 4 - 5 years of work experience in IT systems with domain expertise in Record to Report processes within Oracle Fusion Cloud, demonstrating a strong command of functional and exposure to technical aspects of the saas platform.
• Enthusiastic about learning new technologies and staying current with emerging tools
• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment in complex and ambiguous situations. 
• Collaborative team player who thrives in cross-functional environments, fosters a culture of knowledge sharing, and contributes positively to team dynamics and collective success.
• Self-motivated and driven professional with a strong sense of ownership, proactively identifying opportunities for improvement and seeing them through to completion with minimal supervision.
• Good understanding of the software development lifecycle (SDLC) with solid familiarity across development, support, and release management activities.
• Should be comfortable enough to report to a Senior level Business Systems Engineer.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $102,000 - CAD $127,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

We are looking for an Engineering Manager to lead Verticalized Shopping - an end to end mobile and backend team that makes every Pin actionable, from first spark of inspiration to purchase. You will own the technical vision and execution for shopping experiences that cut across Ads, Content, and Growth, and pioneer how we use genAI to turn messy human inspiration into clear next steps for Pinners. Your team will move fast, ship experiments, and learn in the open to drive utility, retention and revenue, working closely with Product, Design, Data Science and our commerce partnerships. You will hire and grow high caliber engineers, set a high bar for craft and speed, and build simple systems and processes that let the team do the best work of their careers while shaping the future of commerce on Pinterest.

What will you be doing:

• Leading an end to end mobile and backend team that makes every Pin more shoppable and actionable
• Owning the technical roadmap for verticalized shopping across Ads, Content and Growth
• Pioneering how we use genAI to turn inspiration into clear next steps for Pinners
• Driving an experiment led culture that learns fast on utility, retention and revenue
• Hiring growing and inspiring high caliber engineers to do the best work of their careers
• Pioneer the use of generative AI to transform unstructured user inspiration into actionable, shoppable moments, elevating the end-to-end mobile and backend shopping experience.
• Integrate AI-driven personalization and recommendation systems to connect Pinners with relevant products, improving conversion rates and user satisfaction across Ads, Content, and Growth surfaces.
• Lead your team in rapidly designing, prototyping and scaling AI-powered experiments, while building the technical harness, context, retrieval, prompt orchestration, evaluation and guardrails, that makes LLM systems predictable, high quality and production ready.

What we’re looking for:

• 9+ years of experience in software engineering, 3+ years in engineering management leading end to end product teams
• A thought leader and cross functional partner who drives innovation and gets high performance from strong engineers
• Proven experience building large scale distributed systems and mobile experiences in consumer, ads or commerce domains
• Deep comfort with experiments, metrics and ambiguity - you use data and fast iteration to find product market fit
• Excitement about applied genAI and how it can turn content into action for Pinners, merchants and advertisers
• Demonstrated success leveraging generative AI or machine learning to build scalable consumer products, with a strong focus on experiment velocity and quality of recommendations.
• Proven ability to build the technology, processes and playbooks that harness LLMs effectively, giving models the right context and controls to produce reliable, high-quality outputs.
• Enthusiasm for creating frameworks and fostering a team culture that uses AI as a force multiplier accelerating learning, operational efficiency, and innovation in shopper engagement and commerce technology.

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 quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).

#LI-HYBRID

#LI-CH1

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (EEA, UK, and Switzerland).

The annual base salary range for this position is displayed below. Individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation
€63.000 - €79.000 EUR

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

Sr. Lead AI Research Scientist, AI Evaluation and Reliability

The AI Foundations team leads core research and development across the training, evaluation, and deployment of AI systems that power Uma, Upwork’s flagship AI model, and other customer-facing generative AI capabilities. As a Sr. Lead AI Research Scientist focused on AI Evaluation and Reliability, you will drive high-impact research initiatives that improve the trustworthiness, robustness, and real-world performance of AI systems operating at marketplace scale.

At the Sr. Lead level, this role combines deep technical expertise with cross-functional leadership. You will identify and lead research efforts that address systemic reliability challenges, partner closely with engineering and product teams to translate research into production outcomes, and help shape how Upwork evaluates AI performance in real work scenarios. Your work will support AI systems embedded in retrieval-based workflows, agentic architectures, and human plus AI collaboration patterns, while contributing to Upwork’s broader AI research strategy and external presence.

Responsibilities:

• Lead applied research initiatives focused on AI evaluation, reliability, and robustness, defining success metrics tied to customer impact and production readiness.

• Design and validate methods to measure and mitigate AI reliability risks, including uncertainty estimation, hallucination detection, and identification of model failure modes.

• Partner cross-functionally with engineering, data science, and product teams to integrate research outcomes into customer-facing AI systems and workflows.

• Own research projects end to end, from problem framing and hypothesis development through experimentation, prototyping, and synthesis of results.

• Influence technical direction across teams by surfacing insights, proposing scalable solutions, and aligning stakeholders on priorities and tradeoffs.

• Mentor researchers and engineers through technical guidance, feedback, and collaborative leadership on shared initiatives.

• Contribute to Upwork’s external research footprint through publications, presentations, and engagement with the broader AI research community.

What it takes to catch our eye:

• Proven experience leading applied AI research that balances scientific rigor with real-world deployment constraints and business impact.

• A strong record of research contribution through publications, internal innovation, or demonstrable influence on production AI systems.

• Deep proficiency with Python and modern deep learning frameworks such as PyTorch, with hands-on experience evaluating and improving large-scale models.

• An adaptive approach to integrating AI tools into research and development workflows to accelerate experimentation, improve evaluation quality, and share best practices with others.

• A collaborative, growth-oriented mindset with the ability to mentor peers, communicate complex ideas clearly, and thrive in a fast-evolving, bottom-up environment.
  
  

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada).

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 Sales Director to help us build sustainable growth. The role will be hybrid, based in Toronto.

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 

• Own full sales cycle accountability for a portfolio of financial services clients in Toronto, with a primary focus on building and converting a strong top-of-funnel pipeline into revenue growth.
• Develop and execute proactive business development strategies, including targeted outreach, executive engagement, and industry-driven campaigns to penetrate Tier 1 banks and insurers.
• Generate and qualify new opportunities by aligning Levio’s service offerings (digital, data, cloud, and AI) with client priorities, positioning the firm as a trusted partner in large-scale transformation initiatives.
• Lead complex deal orchestration, coordinating internal teams (partners, delivery, SMEs) and external stakeholders to shape, propose, and close high-value consulting engagements.
• Demonstrate strong knowledge of AI and emerging technologies, translating trends (e.g., generative AI, automation, advanced analytics) into tangible business value propositions for financial services clients.
• Build and maintain C-level client relationships, strengthening Levio’s market presence in Toronto’s financial services ecosystem and driving repeat business and account expansion.

Qualifications and Experience 

• 10+ years of experience in executive leadership, sales, or consulting within Industrial and supply chain domains. 
• Proven track record of driving multi-million-dollar sales and business growth. 
• Strong executive presence with the ability to influence and engage senior stakeholders. 
• Strong knowledge in digital transformation, banking or insurance industries and emerging technologies. 
• Great negotiation and communication skills.  
• Ability to manage multiple priorities in a fast-paced environment.

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: $170,000 to $220,000 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. 

We are a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. 

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

• Gym discounts 

• Employee and Family Assistance program 

• Virtual wellness events 

• Conferences & training budget 

• Regular internal training programs 

• Financial planning with 3% matching Pension  

• Competitive salary 
• Annual bonus structure 

For a career where you can drive our business and shape your future, apply now. 

Job Summary

The Sourcing Director – Critical Components is responsible for developing and executing global sourcing strategies to secure high-quality, cost-effective critical components and materials. This role ensures supply chain continuity, minimizes risk, and drives innovation by leveraging market analysis, supplier relationship management, and advanced negotiation tactics. The manager collaborates with cross-functional teams to align procurement activities with organizational goals, optimize procurement processes, and enhance supplier relationships.

Key Responsibilities:

• Strategic Sourcing: Develop and implement comprehensive sourcing strategies for critical components, aligning with long-term business objectives and ensuring competitive advantage.
• Supplier Management: Build and maintain strong relationships with key suppliers, conduct regular performance reviews, and manage contracts to ensure terms are met and risks are mitigated.
• Cost Optimization: Identify opportunities for cost reduction, quality improvement, and process efficiency through market analysis and innovative sourcing solutions.
• Risk Management: Monitor supply chain risks, diversify supplier base, and implement contingency plans to ensure uninterrupted supply of critical components.
• Cross-Functional Collaboration: Work closely with finance, operations, legal, and engineering teams to harmonize procurement activities with overall corporate strategy.
• Commodity & Component Expertise: Oversee commodity management, finished goods, and component sourcing, with a focus on critical and high-impact materials.
• Process Standardization: Provide guidance on standardized RFP/bid and contract processes, ensuring compliance and best practices across the organization.
• Performance Metrics: Track and report on key performance indicators related to cost savings, quality, delivery, and supplier performance.

Qualifications & Skills:

• Education: Bachelor’s degree in Business, Supply Chain Management, Engineering, or related field; Master’s degree or MBA preferred.
• Experience: 10+ years in sourcing, procurement, or supply chain management, with at least 3 years at a senior level in a multinational environment.
• Industry Knowledge: Deep understanding of manufacturing processes, import sourcing practices, and global supply chain dynamics.
• Skills: Strong negotiation, analytical, leadership, and communication skills. Proficiency in contract law, market analysis, and supplier relationship management.
• Technical: Experience with LEAN manufacturing, supply management, and procurement software/tools.

Preferred Competencies:

• Ability to interpret complex data and drive data-informed decision-making.
• Track record of driving cost efficiencies and process improvements in procurement.
• Experience in managing international supplier relationships and global sourcing initiatives.

Location: Sunnyvale, CA

The base salary range for this position is $200,000 to $240,000 annually.  Actual compensation may include bonus and/or equity, and will be determined based on factors such as experience, skills, and qualifications.

Kepler executes engineered marketing, where every message and ad delivered helps create a more personalized and productive relationship between brands and their consumers. We do this by acting as clients’ agency of record, as their in-house team, or some hybrid of the two – and by harnessing data and technology across all paid digital media and data-driven CRM channels.

Kepler prides itself on being a great place to work. In fact, we’re proud to share that AdAge recognized Kepler among the Best Place to Work in 2022, validating our investment in our team and our clients.

• We're transparent with our employees. You'll hear updates on company financials, how we're performing against bonus goals, and how we're responding to challenges we face. 
• We're growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company. 
• We're fun. You'll work with and learn from the smartest people in the industry and have a blast doing it. 

This role operates within Kepler’s collaborative ecosystem, partnering closely with Marketing and Business Development teams to ensure creative output aligns with strategic objectives and supports company growth.

The Associate Creative Director, AI Design leads the fusion of graphic design mastery and next-generation AI creativity. This role is for a multidisciplinary design leader who excels in concept development, brand design, motion, and visual systems while leveraging advanced AI tools to push creative boundaries. The ACD will direct design across digital platforms, social, and video while helping shape new workflows that combine human taste with AI precision. This position requires a deep foundation in traditional design craft and hands-on expertise with modern AI tools across image, video, audio, and 3D production.

The ideal candidate is a nimble, self-motivated, and highly detail-oriented creative who thrives in a fast-paced, collaborative environment. They are proactive in exploring new technologies and ideas, able to independently develop prototypes and concepts that push the boundaries of creativity and technology. They bring a can-do attitude, a deep sense of curiosity, and a passion for collaboration—someone who contributes energy, positivity, and creative excellence to a close-knit, multi-disciplinary team. This individual should be equally comfortable discussing creative concepts with clients as they are refining details with designers and engineers. Strong communication—both written and verbal—is essential, especially when working remotely across distributed teams.

Beyond creative direction, this role helps define how emerging AI technologies are integrated into Kepler Creative’s workflows, shaping new ways of creating, testing, and scaling ideas with speed and precision. The ACD will contribute to the broader creative transformation at Kepler by developing repeatable AI systems, maintaining brand integrity across AI-generated outputs, and ensuring responsible and transparent use of generative tools. They will guide how design, automation, and creativity intersect, serving as both a practitioner and thought partner in evolving Kepler’s creative practice.

What You Will Do

• Contribute ideas and insights to Kepler’s broader innovation initiatives, including Focus Forum and Kip tools, reinforcing the company’s culture of creativity and experimentation.
• Lead design and art direction across campaigns, digital content, and video creative for global brands.
• Use generative AI tools to prototype concepts, create visual variations, and accelerate creative exploration.
• Design and oversee internal assets such as marketing materials, case studies, pitch decks, and websites.
• Collaborate closely with data scientists, AI engineers, copywriters, and animators to develop AI-augmented workflows and creative tools.
• Build and refine repeatable AI-based creative workflows, prompt libraries, and design systems for scalable output.
• Ensure brand standards and creative excellence through human review and quality control of AI-generated content.
• Proactively explore new technologies, design approaches, and creative prototypes to expand team capabilities.
• Present ideas and visual strategies to clients and internal stakeholders with clarity and confidence.
• Communicate AI capabilities clearly to non-technical collaborators and clients to build understanding and trust.
• Mentor designers on integrating AI safely, ethically, and effectively into their work.

Desired Skills and Experience

• Comfortable using performance metrics and iterative improvement methods, understanding how creative data informs refinement and optimization of design work.
• 5+ years of experience in professional design and art direction across digital, social, and video platforms.
• Expert-level proficiency in Adobe Creative Cloud (Photoshop, Illustrator, After Effects), Figma, and related design platforms.
• Strong foundation in design principles: typography, composition, layout, color, and brand systems.
• Skilled in using generative AI tools such as Midjourney, Imagen, Veo, Firefly, Runway, and emerging image or video generators.
• Familiarity with node-based AI workflow platforms (e.g., Flora, ComfyUI, Weavy) and automation frameworks.
• Experience incorporating AI-driven text, voice, or 3D tools (e.g., ChatGPT, ElevenLabs, Spline, Kaedim) into creative development.
• Strong understanding of motion graphics principles and how to direct AI-augmented animation or video production.
• Exceptional attention to detail, with the ability to manage multiple projects while maintaining quality and consistency.
• Excellent communication, writing, and presentation skills for remote collaboration and client-facing conversations.
• Self-starter who takes initiative, actively seeks feedback, and contributes to a culture of learning and innovation.
• Commitment to responsible and transparent use of AI in creative production.
• Bachelor’s degree in Graphic Design, Fine Arts, or related field preferred.
• Outstanding online portfolio demonstrating contemporary design, creativity, and mastery of AI-augmented workflows required.

Role: Data Analyst

Location: Toronto, Ontario 

About the role: 

As the only company to exclusively design, build and run in-house marketing agencies, OLIVER (part of the Inside Ideas Group) holds a unique position in the market.  

What you will be doing: 

• Set, track, and evaluate KPIs / effectiveness of cross-channel gen AI content (pilots, campaigns, and overall programmes of work). 
• Craft test, learn, and optimise plans to driving continuous content improvements at every turn and provide robust learning outcomes. 
• Combine diverse data sources (including generation of meta data) to paint an insightful, actionable picture of content performance, empowering data-driven decision-making. 
• Utilise various measurement techniques to evaluate effectiveness. Comfortable with various techniques (from last-click attribution to brand lift studies and MMM).   
• Analyse performance data and map it to creative recommendations, uncovering insights and opportunities to optimise content. 
• Maximise in-platform audience insights (prompt recommendations), and integrate external sources (e.g. social listening, search, panel data) for improved audience understanding / creative outputs. 
• Design and maintain dashboards for real-time performance tracking, ensuring we're always ahead of the curve. 
• Craft analytics solutions to unlock better creative outputs – including 'out of the box' pre-trained predictive models through to building of bespoke models with data science colleagues as required. 
• Explore and assess emerging data analytics capabilities of Gen AI platforms, leading innovation in content analytics / optimisation.
• Stay at the forefront of AI and data analytics advancements, fuelling our pursuit of excellence and identifying novel approaches to enhance analytics / creative outputs. 

What you need to be great in this role: 

• Hands on experience with the major LLMs and other providers for analytics, data, and insight work. 
• Possess strong analytics and data-driven experience, driving insights that push boundaries. 
• Demonstrated expertise in setting diverse measurement frameworks for content, working with data across digital media, content, brand, and meta data. 
• Embrace an innovative approach to data and consumer insights, pioneering new paths to success. 
• Leverage interest in applying data to understand audience behaviour. 
• Deep understanding of ad account setups, metrics, evaluation and how this drives results. 
• Comfortable aggregating multiple data sources to evaluate effectiveness. 
• Proficiency with tools such as Brandwatch, Global Web Index, Audiense. 
• Excel in data storytelling for non-technical audiences, ensuring insights resonate. 
• Possess a keen eye for detail and critical thinking, driving impactful decision-making. 
• Comfortable thriving in a fast-paced, changing environment. 
• Has a thirst for continual learning and pushing boundaries, driving innovation at every turn. 
• Embrace a collaborative, open-minded approach, fostering a culture of teamwork and excellence. 
• At the time of this posting, the base salary for this position may range from $76,500.00 to $85,500.00 CAD. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 16826

#LI-midsenior  

PRIMARY PURPOSE

Varicent’s Customer Success team is seeking a Sr Customer Education Specialist  to lead the delivery and evolution of our live Varicent product enablement sessions. The goal of these programs is to ensure learners not only understand our platforms but can confidently apply their knowledge in their day-to-day roles. This role is key in empowering users through practical, scenario-based learning—emphasizing the "why" and "how" behind tasks.

This role centers on delivering virtual instructor-led training sessions (vILT) for Varicent’s Admin Enablement Program and our What’s New webinar series, while also shaping the design and scalability of these and future programs. As a member of the team, you will also serve as a mentor and leader—helping to guide training strategy and content development, develop peers, design new programs, and represent Education in cross-functional initiatives.

KEY RESPONSIBILITIES

Program Design & Development
• Partner with instructional designers and product SMEs to develop and iterate on vILT curriculum, ensuring content is technically accurate, engaging, and aligned with customer needs
• Identify gaps and opportunities within the Admin Enablement Program and broader customer learning ecosystem, proposing new modules, tracks, or learning formats
• Ensure training materials reflect the most recent Varicent product updates, features, and best practices
• Incorporate adult learning principles and interactive techniques into training content to drive engagement and retention
• Collaborate with Enablement, Support, and Product teams to maintain alignment between training objectives and customer success goals
• Contribute to the development of learning strategies that blend vILT, on-demand content, and job aids for a comprehensive learning experience

Enablement Delivery

• Deliver polished, high-impact virtual training sessions to Varicent customers through regularly scheduled Admin Enablement and webinar sessions
• Facilitate interactive learning experiences using virtual platforms (e.g., Zoom, zuddl, Kahoot, Docebo), incorporating polls, exercises, Q&A, and real-world use cases
• Adapt delivery based on customer audience, engagement level, and learner feedback in real time
• Support post-session follow-up by gathering and analyzing participant feedback, and contributing to the refinement of future sessions
• Represent Education in Varicent sponsored customer-facing events (such as our Unlock series), bringing energy, credibility, and expertise to each training and networking interaction
• Serve as a facilitator for critical or high-profile training

Leadership

• Act as a voice within the trainer cohort, modeling excellence in training delivery, preparation, and professionalism
• Mentor and support facilitators, offering guidance on instructional techniques, facilitation strategies, and technical product knowledge
• Contribute to onboarding and skill development for new team members within the Customer Education or Customer Success teams
• Provide input into team processes, facilitation standards, and best practices to ensure consistency and quality across vILT experiences
• Represent the training team in cross-functional working groups, such as product enablement task forces, customer success strategy teams, or education planning sessions
• Champion the customer education perspective in internal conversations, helping the broader organization understand the impact of training on adoption, satisfaction, and retention
• Assist in roadmap planning for the Admin Enablement Program by identifying training needs from customer feedback, support trends, product evolution, or business objectives
• Lead special projects that contribute to the growth and visibility of the Customer Education function, such as piloting new learning formats, building partnerships, or presenting internally
• Investigate and propose new technologies, particularly Generative AI, to improve the learning experience and drive efficiency in ILT operations

SKILLS & EXPERIENCE

• 6+ years of experience in instructional delivery, technical training, or customer enablement.
• Strong understanding of software products, preferably in incentive compensation, enterprise SaaS, or analytics.
• Excellent presentation, facilitation, and communication skills.
• Ability to translate complex technical concepts into practical, learner-friendly content.
• Experience with virtual learning platforms (e.g., Zoom, zuddl), team sharing / collaboration (e.g. Slack, Confluence, Jira, Sharepoint) and LMS tools (e.g. Docebo).
• Experience working with or training users on Varicent or similar compensation management platforms. Prior Varicent product knowledge is a bonus
• Demonstrated expertise in adult learning, instructional design, or facilitation best practices
• Ability to lead cross-functional initiatives and influence stakeholders at multiple levels
• Proven track record of mentoring peers and contributing to team growth and maturity
• Strong organizational and time management skills, with an ability to balance delivery and strategic contributions
• Customer-obsessed, flexible, and collaborative—driven to make every learner experience count

The expected base salary range for this role is $92,160 - $115,200* CAD, and individuals may be eligible to participate in our variable compensation program.

*Final compensation may vary based on experience, skills, designations, and market conditions. This posting is for an existing vacancy.

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

PRIMARY PURPOSE

Varicent’s Customer Success team is seeking a Customer Enablement & Product Consultant to lead the delivery and evolution of our live Varicent product enablement sessions. The goal of these programs is to ensure learners not only understand our platforms but can confidently apply their knowledge in their day-to-day roles. This role is key in empowering users through practical, scenario-based learning—emphasizing the "why" and "how" behind tasks.

This role centers on delivering virtual instructor-led training sessions (vILT) for Varicent’s Admin Enablement Program and our What’s New webinar series, while also shaping the design and scalability of these and future programs. As a member of the team, you will also serve as a mentor and leader—helping to guide training strategy and content development, develop peers, design new programs, and represent Education in cross-functional initiatives.

KEY RESPONSIBILITIES

Program Design & Development
• Partner with instructional designers and product SMEs to develop and iterate on vILT curriculum, ensuring content is technically accurate, engaging, and aligned with customer needs
• Identify gaps and opportunities within the Admin Enablement Program and broader customer learning ecosystem, proposing new modules, tracks, or learning formats
• Ensure training materials reflect the most recent Varicent product updates, features, and best practices
• Incorporate adult learning principles and interactive techniques into training content to drive engagement and retention
• Collaborate with Enablement, Support, and Product teams to maintain alignment between training objectives and customer success goals
• Contribute to the development of learning strategies that blend vILT, on-demand content, and job aids for a comprehensive learning experience

Enablement Delivery

• Deliver polished, high-impact virtual training sessions to Varicent customers through regularly scheduled Admin Enablement and webinar sessions
• Facilitate interactive learning experiences using virtual platforms (e.g., Zoom, zuddl, Kahoot, Docebo), incorporating polls, exercises, Q&A, and real-world use cases
• Adapt delivery based on customer audience, engagement level, and learner feedback in real time
• Support post-session follow-up by gathering and analyzing participant feedback, and contributing to the refinement of future sessions
• Represent Education in Varicent sponsored customer-facing events (such as our Unlock series), bringing energy, credibility, and expertise to each training and networking interaction
• Serve as a facilitator for critical or high-profile training

Leadership

• Act as a voice within the trainer cohort, modeling excellence in training delivery, preparation, and professionalism
• Mentor and support facilitators, offering guidance on instructional techniques, facilitation strategies, and technical product knowledge
• Contribute to onboarding and skill development for new team members within the Customer Education or Customer Success teams
• Provide input into team processes, facilitation standards, and best practices to ensure consistency and quality across vILT experiences
• Represent the training team in cross-functional working groups, such as product enablement task forces, customer success strategy teams, or education planning sessions
• Champion the customer education perspective in internal conversations, helping the broader organization understand the impact of training on adoption, satisfaction, and retention
• Assist in roadmap planning for the Admin Enablement Program by identifying training needs from customer feedback, support trends, product evolution, or business objectives
• Lead special projects that contribute to the growth and visibility of the Customer Education function, such as piloting new learning formats, building partnerships, or presenting internally
• Investigate and propose new technologies, particularly Generative AI, to improve the learning experience and drive efficiency in ILT operations

SKILLS & EXPERIENCE

• 6+ years of experience in instructional delivery, technical training, or customer enablement.
• Strong understanding of software products, preferably in incentive compensation, enterprise SaaS, or analytics.
• Excellent presentation, facilitation, and communication skills.
• Ability to translate complex technical concepts into practical, learner-friendly content.
• Experience with virtual learning platforms (e.g., Zoom, zuddl), team sharing / collaboration (e.g. Slack, Confluence, Jira, Sharepoint) and LMS tools (e.g. Docebo).
• Experience working with or training users on Varicent or similar compensation management platforms. Prior Varicent product knowledge is a bonus
• Demonstrated expertise in adult learning, instructional design, or facilitation best practices
• Ability to lead cross-functional initiatives and influence stakeholders at multiple levels
• Proven track record of mentoring peers and contributing to team growth and maturity
• Strong organizational and time management skills, with an ability to balance delivery and strategic contributions
• Customer-obsessed, flexible, and collaborative—driven to make every learner experience count

The expected base salary range for this role is $92,160 - $115,200* CAD, and individuals may be eligible to participate in our variable compensation program.

*Final compensation may vary based on experience, skills, designations, and market conditions. This posting is for an existing vacancy.

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

We are looking for inquisitive, well-rounded Senior Full-Stack and Backend engineers to join our Monetization and Core engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

We have several positions open across multiple teams, including opportunities on both the Product and Platform side of Pinterest.

What you’ll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
• Partner with design, product, and backend teams to build end-to-end functionality
• Put on your Pinner hat to suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Grow as an engineer by working with world-class peers on varied and high impact projects
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• 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 industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
• Ability to keep up-to-date with new technologies to understand what should be incorporated
• Strong collaboration and communication skills
• Experience leading or owning projects, mentoring others, or driving technical thought leadership
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• 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.
• Bonus points if you have experience with any of the following (needs vary from team to team): Developer Enablement/Productivity or Internal Tooling, CI/CD, Generative AI/LLMs, Spark/Flink/Big Data technologies, Data Science/Analytics, Building Products or Internal Tools from Scratch

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.

#LI-HYBRID

#LI-DS3

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. 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 Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

What you'll bring to the role

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. 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 Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact

• Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
• Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
• Develop processes to enrich Geotab’s big data with telematics data at scale.
• Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
• Create and maintain documentation for architecture, requirements, and process flows.
• Support internal Geotab teams to assist with data integration with newly developed AI platforms.

What you'll bring to the role

Why job seekers choose Geotab

Position Summary

Unilever is a global consumer goods company known for its commitment to sustainability and a diverse portfolio of iconic brands.  Unilever's expansive brand lineup includes household names such as Dove, AXE, Olly, Liquid IV, and Hellmann’s. Every day, over 2 billion people around the world rely on our products for their daily needs.

Unilever is seeking a dynamic and seasoned SEO/AEO Manager with experience in Answer Engine Optimization (AEO), combined with a strong foundation in traditional SEO, to lead organic search strategy across its Personal Care and Beauty portfolio of brands. The SEO/AEO Manager will own the development and execution of advanced AEO and SEO strategies, enabling content to be discovered and cited by answer engines. This includes structuring content for AI comprehension, optimizing for featured snippets, knowledge panels, and voice search, while leading cross-functional teams and agencies to maximize organic reach.

In this role, you'll play a pivotal role in shaping how consumers discover and engage with our brands through AI-driven search – influencing digital visibility and helping Unilever stay at the forefront of an evolving search landscape.

If you have what it takes, are results oriented, and thrive in performance-driven environments, we’d love to hear from you!

Key Responsibilities

• Own the design and implementation of comprehensive SEO and AEO strategies, ensuring the optimization of search visibility across search engines, voice, and answer-based results.
• Lead an interagency team across media, content, and web development to synchronize efforts, deliver on strategy, and elevate performance across KPIs.
• Conduct prompt and keyword research, monitor search trends, and identify high-impact content opportunities.
• Oversee full content lifecycle optimization, from prompt research and structured content creation to technical schema markup implementation for AI extraction.
• Collaborate with web development agencies to optimize website architecture, metadata, and content for improved search engine visibility and user experience.
• Oversee both on-page and off-page SEO, including technical audits, building authority, schema markup, and performance monitoring.
• Track and report on KPIs specific to AEO performance: featured snippet acquisition, voice search visibility, zero click engagement, and brand authority recognition.
• Stay current with emerging AEO technologies, voice search trends, large language model outputs, and generative AI capabilities to continually evolve strategies.
• Align SEO and AEO roadmaps with wider marketing initiatives, including paid media, social campaigns, and content strategies, ensuring cross-channel synergies.

Desired Skills & Experience

• 5+ years of advanced SEO experience, ideally with AEO implementation and direct answer content optimization.
• Strong leadership skills and proven experience leading multiple media/content agencies or cross-functional teams in delivering measurable SEO and AEO outcomes.
• Ability to complement deep technical expertise with a clear understanding of business impact; translating search performance into tangible outcomes for brand growth and consumer engagement.
• Demonstrated passion for content and marketing, with a consumer-first mindset that ensures content strategies are crafted to resonate with audience needs and foster meaningful brand engagement.
• Deep technical SEO understanding and experience in AEO, including structured data/schema markup, HTML, CSS, JavaScript, and content extraction for AI engines.
• Familiarity with SEO and AEO analytics tools such as Google Search Console, Semrush, Ahrefs, Screaming Frog, and specialized AEO/voice search monitoring tools
• Extensive knowledge of search engine algorithms, ranking factors, featured snippet dynamics, and AI-powered answer extraction.
• Strong analytical skills with a focus on interpreting AEO specific metricsand user engagement for optimization.
• Leadership and project management capabilities to guide internal teams and external agencies in complex multi-channel campaigns.
• Certifications in SEO, AEO, Google Analytics, or AI content optimization programs

This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Expected Salary: TBD

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities.

Initiative unlocks business growth for the world’s most ambitious brands. We believe in the power of media to reshape our industry and orchestrate a brand’s entire consumer experience, by balancing both what unites people and what makes them different. When brands unite people in culture, they build Fame, and when brands connect individuals to their unique journeys, they build customer Flow. Initiative builds Fame and Flow for brands like Amazon, RBC, LEGO, Nintendo and Canada Goose. Media responsibility is at the forefront of everything we do, whether it’s creating media plans that reflect the diversity of our communities, promote brand safety, and foster sustainability. Our agency celebrates diversity in an inclusive environment where all of our 9,000+ strong talent across 90+ markets feel seen, heard, and valued. Our vision is to create not only a better media company, but also a better media industry, and maybe even a better world. Initiative Canada has received many of the industry’s most coveted awards, including two gold Strategy Media Agency of the Year awards, eight Cannes Lions, and a position on WARC's Top 50 Most Effective Media Agencies in the World. In 2023 Initiative was named the North American Network of the Year by the Festival of Media, and Global Network of the Year by both Ad Age and Ad Week. To learn more, visit initiative.com.

Initiative is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to canadatalent@mbww.com 

Role: Art Director

Location: Toronto, Canada 

About the role: 

OLIVER believes that agencies work better inside a brand’s organization – delivering more effective work at the speed and flexibility required to drive modern businesses forward. Using our unique methodology, and supported by bespoke technology, we design, build, and operate specialist, dedicated agencies onsite with our clients. We believe that proximity enables better collaboration, leading to better marketing solutions.  

We’re looking for an Art Director to join our creative team and help bring bold ideas to life across one of our Financial Clients and platforms. This role is ideal for a visually driven creative with strong design fundamentals, a collaborative mindset, and a passion for advertising. You’ll work closely with art directors, copywriters, and creative leadership to develop and execute compelling, on-brand creative work. 

What you will be doing: 

• Be an integral part of a dedicated, close-knit team focused on a leading financial client, where we collaborate closely, support one another, and bring a lot of energy and fun to the work we do every day 
• Develop and execute creative concepts for integrated advertising campaigns 
• Design visual assets across digital, social, print, video and experiential platforms 
• Collaborate with copywriters and other creatives to bring ideas to life 
• Apply brand guidelines while contributing fresh visual ideas 
• Prepare files for production and ensure high-quality execution 
• Incorporate feedback from creative leadership and clients efficiently 

What you need to be great in this role: 

• 4-5 years of experience in an advertising agency, creative studio, or related environment 
• Strong portfolio demonstrating design skills, layout, typography, and conceptual thinking 
• Ability to design for both digital-first platforms and traditional advertising formats 
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign); motion or Figma experience is a plus.  
• AI experience and curiosity - Familiarity with AI-driven tools, generative platforms, or willingness to experiment with emerging technologies to enhance creative output  
• Future-forward mindset - Open to exploring innovative approaches, automation, and AI-assisted workflows to push creative boundaries 
• Solid understanding of visual design principles and current creative trends in all social platforms 
• Strong attention to detail and time management skills
• Act as a brand steward for our client, upholding brand integrity across all deliverables by rigorously following brand guidelines, visual standards, and compliance requirements to ensure every asset is consistently and accurately on-brand 
• At the time of this posting, the base salary for this position may range from CAD $93,500.00 to CAD $104,500.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 17233

#LI-FO1 #LI-midsenior  

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Team Lead, GenAI Engineering who will champion and guide a team of Software Developers and Data Scientists, accounting for the end-to-end implementation and deployment of advanced Generative AI solutions. 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 Team Lead, GenAI Engineering, your key area of responsibility will be leading the design, development, and deployment of cutting-edge Generative AI software applications, establishing high technical standards through code reviews and scalable architectures, and ensuring all data products meet critical business needs. You will need to work closely with the Manager of AI Engineering, Geotab’s software engineering and data science squads, and cross-functional stakeholders to translate complex technical insights into actionable reports.

To be successful in this role you will be a technical leader with an entrepreneurial mindset who is comfortable in a dynamic environment and possesses a passion for coaching and mentoring team members toward their full potential. In addition, the successful candidate will have strong analytical and problem-solving skills, with the ability to manage multiple development projects simultaneously, break down complex requirements into executable tasks, and make data-driven decisions to ensure timely, high-standard results.

How you'll make an impact:

• Cultivate a High-Performing Team: Actively mentor and coach team members on best practices in both AI product development and software engineering. Beyond technical guidance, serve as a career coach, conducting regular 1-on-1s to align individual aspirations with organizational goals and providing the radical candor necessary for continuous professional growth.
• Own the Hiring Process: Drive the end-to-end recruitment of top-tier talent, rigorously assessing technical depth (Data Science and LLM Engineering) and cultural alignment. Design and oversee a seamless onboarding experience that integrates new hires into the GenAI stack and team culture with speed and clarity.
• Foster a Culture of Innovation: Encourage and enable the team to experiment with new technologies and methodologies, making pragmatic trade-offs to meet project goals while fostering a culture of continuous learning.
• Performance Management & Accountability: Establish clear performance metrics and KPIs for the engineering squad. Take ownership of the performance review cycle, identifying high-potential talent for advancement and proactively managing underperformance through structured support and feedback loops.
• Spearhead Advanced GenAI Development: Lead the design, development, and deployment of cutting-edge Generative AI software applications. Research and implement novel solutions using techniques such as prompt engineering, Agentic workflows, and Retrieval Augmented Generation (RAG) to solve complex business challenges.
• Technical Direction & Code Quality: Establish and maintain a high technical bar for the team. Perform regular code reviews, ensure adherence to software engineering best practices, and lead the design of objective evaluation systems to rigorously assess model quality, performance, and user experience.
• Architect Scalable Solutions: Oversee the design and maintenance of high-quality, scalable, and secure AI architectures on cloud platforms. Ensure the architectural integrity of applications built on top of Generative AI models, balancing critical considerations like AI safety, latency, and cost.
• Task Management & Delivery: Serve as the primary technical subject matter expert. Break down complex, high-level requirements into executable technical tasks and sprints. Own the planning, execution, and delivery of multiple development projects, ensuring they are completed on time and to a high standard.
• Lead Communication and Documentation: Act as the primary technical point of contact. Manage communication with cross-functional stakeholders, translating complex technical insights into clear, actionable reports. Ensure comprehensive documentation of research, methodologies, and system designs is maintained.

What you'll bring to the role:

Why job seekers choose Geotab:

What You Will Do and Learn 

We are hiring an AI Training & Enablement Lead to drive firm-wide adoption of our AI platform and agentic tools. In this role, you are responsible for end-to-end execution, not just strategy. You will design, create, and deliver the training programs, enablement materials, release communications, and change management plans that help 700+ consultants integrate AI into their daily work. 

You will own the full lifecycle of user enablement: from onboarding new users, to managing release rollouts, to measuring adoption and identifying friction points. You’ll have access to support resources, while playing a leading role in building and delivering impactful solutions. 

In this role, you can expect to: 

Training Program Design & Delivery 

• Build and maintain role-based training curricula for different personas (consultants, architects, engagement leads, practice leaders) aligned to the AI platform's capabilities and governance requirements. 

• Create hands-on workshops, quick-start guides, video walkthroughs, prompt libraries, and reference materials that consultants can use in the flow of work. 

• Facilitate live training sessions (virtual and in-person) for platform onboarding, new feature releases, and advanced use-case enablement. 

• Develop and manage an internal certification or proficiency program to track and incentivize AI skill development. 

Release Management & User Enablement 

• Own the user-facing release process: coordinate with the AI platform vendor and internal technical teams to translate product updates into clear, actionable enablement content. 

• Manage release notes, feature announcements, and "what's new" communications for each platform update. 

• Build and maintain a centralized enablement hub (knowledge base, FAQ, resource library) that serves as the single source of truth for all AI-related guidance. 

• Establish feedback loops with end users to surface adoption blockers, training gaps, and feature requests. 

Change Management & Communications 

• Design and execute change management strategy for the AI platform rollout, including stakeholder mapping, resistance planning, and leadership alignment. 

• Draft internal communications (emails, Teams updates, town hall talking points) that build excitement and reduce friction around new AI capabilities. 

• Identify and activate AI Champions across practices to scale peer-to-peer learning and create organic adoption momentum. 

• Partner with practice leaders and HR to integrate AI enablement into performance reviews, career development, and onboarding for new hires. 

Adoption Measurement & Continuous Improvement 

• Define and track adoption KPIs: active user rates, feature utilization, training completion, satisfaction scores, and time-to-value metrics. 

• Conduct regular pulse surveys and user interviews to assess enablement effectiveness and identify areas for improvement. 

• Report adoption progress and risks to leadership on a regular cadence, providing actionable recommendations. 

• Continuously iterate on training content and delivery methods based on data and user feedback. 

Skills & Experience: 

Required 

• 5-8+ years of experience in training, enablement, change management, or L&D, with at least 2 years focused on technology or platform adoption. 

• Proven ability to design and build training programs from the ground up, including curriculum development, content creation, resource design, and hands-on delivery. 

• Strong facilitation skills: you are comfortable leading workshops for groups ranging from 10 to 200 people, both virtually and in person. 

• Proven ability to translate complex technical concepts into accessible, engaging content for non-technical audiences. 

• Outstanding written and verbal communication skills, with a proven ability to craft clear, concise internal communications that effectively engage audiences. 

• Experience working in professional services, consulting, or technology firms. 

• Comfortable working in fast-paced environments with evolving priorities, and able to navigate ambiguity without a predefined playbook. 

Preferred 

• Prior experience with change management frameworks (Prosci, ADKAR, or equivalent). Certification. 

• Hands-on experience with generative AI tools (ChatGPT, Claude, Copilot, or similar). You do not need to be an engineer, but you should be a confident, daily user. 

• Experience managing enablement for SaaS platform rollouts (Salesforce, Anaplan, ServiceNow, or similar enterprise tools). 

• Familiarity with instructional design principles and e-learning authoring tools (Articulate, Loom, Camtasia, or equivalent). 

• Background in or exposure to consulting delivery models, T&M billing, and the dynamics of utilization-based businesses. 

• Experience building and activating champion or ambassador networks within large organizations. 

As Marqeta’s  Manager of Service Delivery & Partner Performance you'll be at the forefront of transforming customer support into a competitive advantage. This role puts you in the driver's seat to revolutionize how we deliver exceptional cardholder experiences through data-driven insights, cutting-edge technology, and strategic partnerships.

You'll have the autonomy to identify opportunities, architect solutions, and implement change that measurably elevates our support operations and cardholder’s experience. Working with talented cross-functional teams and strategic BPO partners, you'll not only meet KPIs and SLAs—you'll redefine what excellence looks like in fintech customer support.

This is your opportunity to make a tangible impact on cardholders while building a high-performing support ecosystem. You'll shape performance standards, drive operational transformation, and create the frameworks that scale as Marqeta grows. If you thrive on turning data into action, building collaborative partnerships, and seeing your strategies deliver real results, this role is your platform to shine.

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!

This position is not for an existing vacancy.

The Impact You’ll Have

• Performance Fanatic: You don’t sit around and wait for things to happen. You strategize, plan, and monitor a path to operational success based on the right data.
• BPO Vendor Management: Manage the operational success of multiple programs across multiple products through building and maintaining effective relationships with operational BPO site leadership
• Performance Analysis & Reporting: Monitor and analyze contact center data (KPIs, metrics) to identify trends and areas for improvement.
• Process Optimization: Identify gaps, develop and implement sustainable and scalable solutions  to enhance operational efficiency, workflows, and customer satisfaction.
• Quality Assurance & Compliance: Define what great looks like and collaborate with QA and Complaints teams to ensure adherence to quality standards and compliance requirements.
• Technology Implementation: Utilize and drive enhancements through new tooling and AI solutions across our telephony, IVR and CRM system to improve agent efficiency and effectiveness 
• Leadership & Coaching: Motivate staff, provide coaching, and influence positive outcomes to cultivate a high-performing culture.
• Escalation Management: Resolve complex customer issues during moments of truth.
• Cardholder Experience Optimization: Foster strong relationships with key Program stakeholders to collaborate on enhancing cardholder experience through sharing expertise, CSAT/QA results and data drive operational efficiencies
• Change Management: Central role to new program launches and existing program refreshes
• Marqeta Culture Carrier: Champion culture cross-functionally through actively embodying Marqeta values, enhancing engagement, and facilitating culture-building activities 

Who You Are

• 7+ years of Customer Support Operations with equivalent years of experience in BPO industry or management of BPOs
• Strong communication skills (interpersonal, verbal, presentation, written, email) and track record of creating and executing strategic operational efficiencies 
• Demonstrated ability to drive customer satisfaction and experience using people, processes or technology to deliver exception outcomes
• Proven ability to influence and manage stakeholders (internal and external) to achieve positive outcomes
• Experience using data to drive insights and recommend changes for improvement
• Strong technical aptitude including Google Suite, Salesforce, Slack and contact center telephony systems (ex. Amazon Connect)
• Familiarity and first-hand knowledge in fintech, banking or payments
• Positive attitude, team player, adaptable, and resourceful
• Detail-oriented, organized, and adept at managing competing priorities
• Exercises sound judgement and decision-making across diverse scenarios
• Ability to travel globally

Nice-To-Haves

• Deep knowledge of payment processing, program management and/or issuing of debit and credit cards
• Demonstrated ability to manage and operate Amazon Connect
• Strong operational and customer-facing documentation skills with the ability to produce clear, engaging internal and external support guides
• Experience implementing and growing communication channels beyond phone and email
• Proven success in integrating AI solutions into BPO operations from generative AI tooling to agentic implementation of voice or chatbots

Your Manager