S'more about the team

The Manager, Purchasing leads a team of Distribution Center (DC) based buyers to ensure seamless week-to-week procurement operations for their site. They are responsible for the on time, in full, and in quality delivery as well as operational spend of ingredients and packaging. They work closely with both site level and HQ (Toronto) key stakeholders, being the primary point of contact for any procurement related activities at the DC.

Lettuce share what this role will be responsible for:

• First point of contact for any procurement-related activities (e.g. including strategic sourcing, logistics, inventory) within the site you are supporting and triage to escalate/delegate as required.
• Responsible for the purchasing strategy in the DC including supplier performance metrics, ordering strategy, work closely with DC key stakeholders to achieve business targets. 
• Develop and maintain a strong line of communication with the DC, working alongside with Production, Warehousing and Quality Teams to ensure production goes on uninterrupted and collaboratively deliver for high customer performance with the DC.
• Lead a team of buyers to issue daily/weekly POs and ensure all of our ingredients and packaging arrive on time, in full, in quality at our distribution centres. Being the escalation point for supplier performance discussions. 
• Be accountable for the region's operational spend against planned spend (COGS), lead the investigation on over or under spend on a weekly and month basis, responsible for Purchase to Pay (P2P) process for the responsible DC. 
• Reporting on team performance based on critical KPIs, including on-time delivery, production hand-offs, substitutions, invoice approval, etc. 
• Accountable for team performance and development. Drive continuous improvement initiatives and coach the team for developments. 
• All other duties, as assigned.

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

• A total of 3-5 years of experience in supply chain, with experience leading a team
• Bachelors’ degree in business, supply chain, engineering, or related discipline
• Quantitative and analytical experience (either through education or professional experience), including expertise with G-Suite, Excel, and procurement systems
• A strong people leader who can coach and motivate team members to improve performance and develop for future roles
• A love for solving ambiguous problems under tight deadlines, and using data to drive continuous improvement efforts and relentless prioritization
• An ownership mindset; you love to think beyond the scope of a given assignment
• A positive attitude and genuine excitement for working in a fast-paced environment
• A strong collaborator and communicator

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

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

Working Conditions:

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.

If this sounds like you, please click the "Apply Now" button. If this role doesn't quite match what you're looking for, but you'd like to know more about joining the HelloFresh team, please visit our Jobs page to view our other vacancies. We'd love to hear from you!

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

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

#factor

#JD1008

The Role

As a Product Analyst you are an all-rounder who thrives equally working on technical topics as well as value-delivery through insights, presentation and data visualisation. Indeed, your extensive experience and knowledge across technical and business related topics enables you to go “end to end” with a high level of quality and scalability as well as driving best practices within the Product Analytics community. Not limited to one squad or domain, your impact is across the breadth of HelloTech, proactively identifying common needs and pain points across the teams and defining solutions to constantly improve the way we work. So while you are an individual contributor, you are a key owner of best practice across our teams.

What you’ll do

• Leverage Cursor AI to automate and expand analytical capabilities and insight generation for the product organisation.
• Collaborate from a technical perspective with data product managers and data engineers to create reusable data products 
• Collaborate with cross-functional teams to gather requirements and define project objectives while utilising project management skills to plan and execute data-driven projects
• Partner widely across the Senior Product organisation (Product, Software Engineering, UX leads) to set strategic priorities and promote a culture rooted in evidence-based decision making.
• Communicate actionable insights clearly across the organisation highlighting the “so-whats” of your analyses in order to drive the growth of our business.
• Explore and analyse customer behaviour and product performance data in order to detect growth opportunities for the HelloFresh digital product by improving user experience.
• Guide and mentor other Product Analysts within our team, defining best practices and providing support to help individuals and the team grow in effectiveness
• Review as a technical expert the implementations of multiple teams across domains, continuously improving the deliverables of your teams

What you'll bring

• Extensive experience in quantitative analysis roles, ideally including having worked closely with product teams for at least 4 years.
• Knowledge of Curser and AI Analytics
• Excellent technical skills applying expert level SQL and Python for both analysis and efficient manipulation of large data sets.
• Expert level knowledge of data visualisation tools like Tableau which we use to create compelling visualisations to convey complex data.
• Extensive experience working with product stakeholders in setting up A|B experiments, interpreting results and deep diving to understand the impact of particular experiments.
• Excellent communication skills, taking complex business problems, articulating these as analytical problems and presenting your findings in a clear and precise way. 
• Extensive leadership of complex projects you have led, capability building within your team, and through mentorship or direct people management.
• A change mindset, the status quo is not an impediment
• You are outcome oriented, and can take a business challenge, create actionable analytical insights against it, and align stakeholders on actions to create business value.

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

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

Flexible Hybrid Approach

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

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

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

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

#LI-HYBRID

Account Manager II

VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games. 

We have an exciting opportunity to join our Account Management team in Toronto and are currently looking for Account Managers to join the team. 

The Account manager is responsible for developing and sustainably retaining a portfolio of top tier players who demand the utmost best experience and personal attention. Create meaningful connections while curating a platform experience that surpasses our players' highest expectations. Utilize multiple contact strategies to engage in deep relationship building while conducting a thorough qualitative and quantitative portfolio analysis to provide personalized rewards and loyalty offers.

The salary range for this role is CAD 93,000 to CAD 104,500 per year

This is an exisiting position within our team.

What You'll Do:

• Expert & Skilled Relationship Building: Communicate regularly with players via phone and email to build deep personal relationships and develop a tailored premium platform experience. Offer & cultivate personalized incentives, exclusive rewards and once in a lifetime experiences to enhance engagement and build brand loyalty.
• Portfolio Analysis and Management: Utilize all operational tools and analytics to meet and exceed against established KPIs, contributing to your own and overall team’s performance goals. Analyze player behavior and engagement patterns to understand spikes and drops, utilizing data to pinpoint key drivers and implement strategic adjustments.
• Team Collaboration: Actively participate in team meetings, off-site events and strategy sessions, offering feedback and innovative ideas to enhance processes and outcomes. “Humble but Hungry” - have a level of personal confidence and high standard of excellence while acknowledging learning and curiosity are the keys to success.
• Responsible Social Gameplay (RSG): Live by VGW’s company values by prioritising the safety and stability of your players in all possible business decisions and player interactions.
• Compliance Adherence: Be the perfect liaison between your players and all compliance teams, supporting VGW in their strict adherence to compliance obligations.

What You'll Bring:

• 3-5 years demonstrated account management experience either B2B or B2C 
• Demonstrated effectiveness at developing and retaining high value level relationships.
• Demonstrated proficiency using various software and technology platforms, including CRM database management experience (Salesforce, Tableau etc.).
• Strong analytical and strategic thinking abilities with the ability to leverage data and insights to make actionable recommendations 

Others:

Requires to work in the office twice a week
Work Schedule: Mondays to Fridays from 9am to 6pm

About VGW

VGW is an interactive entertainment company, harnessing technology and creativity to deliver world-class, free-to-play online social games. With high-quality, acclaimed brands including Chumba Casino, Global Poker and LuckyLand Slots, we entertain and delight over one million players in North America.

As pioneers in sweepstakes promotions for online social games, we also offer our players the opportunity to redeem incredible prizes.

At VGW, one of our core values is "our players come first". This means always striving to deliver a safe, responsible and positive player experience.

Why VGW?

At VGW, we’re more than just a team. We’re a diverse and inclusive group of individuals, each playing a vital role in our success. Our core values are clear and strong; we win together, do what’s right, put our players first and are powered by passion.

We believe in our people and are committed to creating an environment where everyone feels welcome, inspired, and supported. We recognise that life is more than just work - that’s why we’re all about flexibility so you can strike a healthy balance between your personal life and career. We’re also here to champion your growth in your current role and future aspirations, providing opportunities for learning and career advancement. And to top it off, we back this all up with competitive compensation, perks and benefits.  

But it’s not all business. We inject fun into the workplace, celebrate together and create lasting memories, from a mix of in-person and online events, to social gatherings and much more.

It’s our combined skills, ideas and visions that drive us forward. Join us on this exciting journey, and together, we’ll achieve remarkable things. 

If you want to join a team that does things differently, apply today - we look forward to seeing what you can bring to our team.

Find out more at www.vgw.co

VGW Canada Inc. is an equal opportunity employer and will provide reasonable accommodation for qualified individuals with disabilities throughout the recruitment and selection process.  Please advise our Talent Acquisition Specialist in advance should accommodation be required.  

We use an AI tool to help our Talent Acquisition team with note taking during screening interviews. Using this tool is optional. If you are invited to an interview, you will be given the opportunity to opt out if you choose to.

#KS1

About the Role

The Analyst will lead reporting strategy and data storytelling to drive performance and inform the creative feedback loop. Everything you do will be data driven at heart, leveraging core statistical principles to help us separate the signal from the noise, and deliver insights and storytelling that powers breakthrough strategies and campaigns.

Responsibilities:

• Work with our creative team to develop marketing experiments that answer big questions and unlock better results for brands.
• Ensure that experiments are valid and informative - ensuring results are stat sig, are scalable, and have no confounding variables.
• Dimensionalize and analyze advertising data, creating new ways of labeling and looking at creative and media data.
• Analyze creative activations and translate paid media data into insight and meaning, enabling other teams to make informed decisions from your conclusions.
• Think holistically as a marketer and learn to translate business needs into comprehensive learning agendas.

About You

Who you are:

• A "hybrid" media analyst with an analytical and creative mind, who can bridge the gap between art and science.
• You are passionate about advertising, with the experience in paid media to run experiments that uncover the “Why” behind why an ad works.
• You are curious and scientific at heart, seeking to understand the relationship between consumer, product, brand, creative expression and medium through a lens of experimentation.
• You have a strong grasp of statistical concepts and a natural talent for explaining complex concepts to people with a wide range of understanding of such concepts.
• Equally at home in a room full of senior clients as you are in a data set.
• You are seeking to make a significant impact in a role that is core to the proposition of one of the fastest growing agencies in the world.
• You are a self starter with very high standards for your work.
• You possess excellent problem-solving and critical thinking abilities.
• You have the desire to grow as a leader and mentor to colleagues.

The essentials:

• 1-3 years Prior Advertising/Paid Media experience with data analysis, and application to creative.
• Demonstrated record of excelling in previous roles and responsibilities.
• Strong analytical, quantitative, and problem-solving skills.
• Proficiency with Excel, PowerPoint and Google Docs.
• Strong written and verbal communication skills.
• Detail oriented and organized.
• Ability to thrive in a very fast paced environment.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

Monks is committed to ensuring equal access and participation for people with disabilities. We are committed to treating people with disabilities in a way that allows them to maintain their dignity and independence. We believe in integration, and we are committed to meeting the needs of people with disabilities in a timely manner. We will do so by removing and preventing barriers to accessibility and by meeting our accessibility requirements under local accessibility laws.

#LI-MB3

#LI-Hybrid

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world.  AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service.  We power millions of subscriptions worldwide for organizations.  We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About Tackle, an AppDirect subsidiary

Tackle, a business unit of AppDirect, is the leading solution built to help software companies generate revenue through data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft. Tackle serves more than 500 software companies—including CrowdStrike, HashiCorp, New Relic, and Snyk—from high-growth startups to the largest software companies in the world.

About You

We’re on the hunt for a customer-obsessed Product Manager to join our Platform team, owning core platform capabilities on both the Tackle platform and Salesforce app integration, such as authentication, user management, onboarding, integrations, dashboards, and shared services that empower other domain teams. This puts you at the heart of powering cloud GTM journeys for some of the largest technology companies in the world. You’ll partner closely with engineering, design, and customer-facing teams to define a clear product vision, prioritize high-impact initiatives, and deliver solutions that make our platform more scalable, reliable, and valuable for customers. 

What you’ll do and how you’ll have an impact

• Product Ownership: Own the roadmap for core platform services, such as onboarding, integrations, authentication, user management, and shared tools, to enable domain teams to deliver customer value.
• Roadmap & Prioritization: Shape the Tackle roadmap, making thoughtful trade-offs between short-term delivery and long-term platform investments.
• Cross-Functional Collaboration: Partner closely with engineering, design, and go-to-market teams to ship features and iterate on feedback.
• Customer & Internal Feedback: Engage with customers and internal stakeholders to gather insights, validate solutions, and ensure that features solve real problems.
• Data-Informed Decisions: Use qualitative and quantitative data to prioritize work, define success metrics, and measure impact.
• Communication & Documentation: Clearly communicate plans, progress, and decisions to technical and non-technical stakeholders, producing concise, actionable product artifacts.
• Adoption: Support domain teams in effectively adopting platform capabilities, reducing friction and improving cross-team outcomes.

What we’re looking for

• 5+ years of product management experience in enterprise B2B SaaS products. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, a related field, or equivalent practical experience.
• Experience owning a product area end-to-end, including roadmap definition, prioritization, delivery, and driving adoption.
• Experience shipping Platform capabilities such as integrations, authentication systems, user management, APIs, or shared services supporting multiple teams or products.
• Demonstrated ability to partner closely with engineering and design to translate ambiguous problems into clear requirements and shipped solutions.
• Comfort making prioritization trade-offs using customer insights, business context, and data  to effectively balance immediate needs with longer-term platform health.
• Experience engaging with customers and internal stakeholders to gather feedback, validate assumptions, and ensure solutions solve real problems.
• Strong communication skills, with the ability to clearly explain product decisions, trade-offs, and progress to both technical and non-technical audiences.
• Experience using qualitative and quantitative data to inform decisions, define success metrics, and measure impact.
• A collaborative mindset and interest in enabling other teams to move faster and build better products on shared platform capabilities.
• Have experience working with or building products on Salesforce, including familiarity with its data models and workflows (Nice to have).
• Have experience improving onboarding flows, identifying “aha moments,” and reducing time-to-value for a product or feature (Nice to have).

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

#li-jobs

Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link:

• Analyste financier/financière senior

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world.  AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service.  We power millions of subscriptions worldwide for organizations.  We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About You

AppDirect is looking for a Senior Financial Analyst  to join the Strategic Finance (FP&A) team as our company continues to expand rapidly. This role will serve as a trusted advisor to key business leaders, delivering key recurring reporting and ad-hoc analysis to guide key business decisions. The role will also help drive and improve the delivery of key financial planning processes, including the annual plan, quarterly forecast, and monthly close.

This is a highly visible role within a rapidly growing and dynamic business and will be exposed to all critical functions of the business, including the executive suite. The ideal candidate will be a data-driven individual with an analytical eye toward problem solving and have robust financial modeling experience with an ability to drive sustainable impact across the organization. The ideal candidate will have strong communication skills, be able to work effectively cross-functionally, and have a high-level of attention to detail.

What you’ll do and how you’ll have an impact

• Revenue planning/forecasting for a key segment of the business;
• Forecasting & Budgeting: Drive and execute the development of the annual plan, quarterly forecast, and the close process;
• Business Partnering & Analytics: Be the business expert and financial advisor to key Provider Services division leaders in order to aid in business decision-making and strategic planning;
• Sales Business Planning: Drive business planning for our growth engine across different products and geographies;
• Systems & Process Building: Continuously improve reporting frameworks, tools, and processes to ensure access to timely, accurate and actionable financial guidance.

What we’re looking for

• 3-5 years of experience in financial planning & analysis or corporate finance;
• Experience in Technology industry, SaaS, or marketplace experience;
• Advanced Excel skills to develop insightful financial models and quantitative analysis, paired with critical thinking and sound business judgment;
• Experience with Anaplan (or similar FP&A Forecasting tool), Hubspot and Netsuite is a plus;
• Ability and desire to build key relationships with leadership in key areas and quickly to build strong & trusting finance business partner relationships. Goal of these partnerships is to support business segments with both achieving their goals and maintaining budgets while also finding ways for finance to enable the success of each function;
• Soft skills:  Ability to eloquently distill and communicate complex topics broadly to board members, front-line team members and everyone in between. You are proactive and have a positive attitude with a can-do, service-oriented mentality;
• Entrepreneurial: Self-starter with a high degree of ability to work autonomously in a fast-paced environment and tend to blades of grass while not losing sight of the broader vision and opportunity.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

#LI-Hybrid

Role Description

As a Risk & Governance Manager at Dropbox, you will join the Governance, Risk, & Compliance (GRC) team, you will help mature and scale programs that enable Dropbox to make thoughtful, risk-informed decisions. This is a broad, cross-functional role supporting multiple areas of the GRC program, including enterprise risk management, AI governance, business resilience, third-party risk, internal controls, audit readiness, and risk reduction initiatives.

You will partner closely with teams across Security, Privacy, Engineering, Product, Legal, and Compliance to identify, assess, prioritize, and reduce risk across Dropbox’s products, services, and operations. This role is ideal for someone who enjoys working across domains, can bring structure to ambiguous problems, and is comfortable translating complex technical, regulatory, and business considerations into practical governance programs.

Additionally, you will be responsible for implementing programs and controls to help us maintain user trust and adhere to Dropbox’s AI principles and trust policies. You will help both Dropbox and our customers make informed decisions about the use of AI products and services. 

Responsibilities

Governance Program Management

• Support the design, implementation, and continuous improvement of Dropbox’s Governance, Risk, and Compliance programs, including quantitative risk management (FAIR), governance, controls, compliance readiness, issue management, and risk reporting.
• Plan and execute risk assessments, gap analyses, certification readiness activities, compliance reviews, and audit support processes across areas such as security, privacy, AI, reliability, third-party services, and operational risk.
• Partner with cross-functional stakeholders to identify risks, assess impact and likelihood, define mitigation plans, assign owners, and track risk reduction efforts through completion.
• Drive risk reduction projects that strengthen Dropbox’s control environment, improve operational maturity, and help teams make risk-informed decisions.
• Coordinate improvements to internal risk management systems, workflows, documentation, reporting, and policies to increase consistency, transparency, and program effectiveness.
• Collaborate with internal and external auditors throughout compliance engagements, including evidence collection, stakeholder coordination, gap remediation, and management reporting.
• Support risk reviews of third-party service providers and help connect third-party findings to broader enterprise risk, compliance, and customer trust objectives.
• Lead or support complex, cross-functional governance initiatives, such as software asset management, control rationalization, audit readiness, or risk remediation programs.
• Play an active role in risk incident readiness and response by helping teams prepare for, mitigate, respond to, recover from, and learn from risk events.

AI Governance

• Help implement, maintain, and mature programs that support Dropbox’s AI governance framework, company AI Principles, legal and regulatory obligations, and customer trust commitments.
• Partner with Product, Engineering, Security, Privacy, Legal, Compliance, and business teams to assess AI use cases and define practical governance requirements for intake, documentation, review, approval, monitoring, and issue remediation.
• Support AI risk assessments that consider security, privacy, transparency, reliability, misuse, bias and fairness, data governance, compliance, and operational risk.
• Translate emerging AI regulatory, ethical, and industry expectations into scalable internal policies, standards, controls, and operating practices.
• Develop metrics, KPIs, dashboards, and reporting to communicate AI governance maturity, risk posture, compliance status, and remediation progress to stakeholders and leadership.
• Provide risk-informed guidance to stakeholders and leadership on AI governance decisions, policy updates, regulatory developments, and responsible AI practices.

Business Resilience and Operational Risk

• Support Dropbox’s business resilience program, including business continuity planning, business impact assessments, tabletop exercises, incident readiness, recovery planning, and after-action reviews.
• Partner with key teams to identify critical services, dependencies, operational risks, continuity requirements, and resilience gaps.
• Drive or support tabletop exercises and scenario-based reviews for key teams, helping document lessons learned, owners, timelines, and follow-up actions.
• Track resilience risks and remediation activities, escalating themes, blockers, and emerging risks to appropriate stakeholders or governance forums.
• Help connect business resilience work to broader risk management, compliance, customer trust, audit readiness, and incident response objectives.

Requirements

• 7+ years of experience building or maintaining risk, governance, compliance, audit, business resilience, security, privacy, or related programs
• Experience at a publicly traded, fast paced SaaS company
• Experience managing and reducing AI, security, privacy, or reliability risks
• Knowledge of FAIR quantitative risk methodologies
• Familiarity with a broad range of technical concepts relevant to cloud computing and SaaS environments: logical access, agile development process, security architecture, information security, network security, and privacy
• Strong project management and organizational skills
• Collaborative working style and strong relationship-building skills, with the ability to work effectively with both technical and non-technical teams
• Excellent writing, communication, organizational skills, and strong attention to detail
• Ability to confidently convey nuanced information to senior leaders
• Related professional certifications such as AIGP (AI Governance Professional) or CIPP (Certified Information Privacy Professional) preferred

Preferred Qualifications

• Deep subject matter knowledge in AI governance, security, privacy, or reliability risk, i.e. sufficient technical knowledge to have effective conversations with Dropbox engineers
• Self starter and ability to navigate ambiguity, proven history of owning and delivering a project end-to-end, has strong Executive presence
• Experience completing complex cross-functional projects that can turn into self-sustaining programs as part of a risk team

Compensation

Role Description

As a Risk & Governance Manager at Dropbox, you will join the Governance, Risk, & Compliance (GRC) team, you will help mature and scale programs that enable Dropbox to make thoughtful, risk-informed decisions. This is a broad, cross-functional role supporting multiple areas of the GRC program, including enterprise risk management, AI governance, business resilience, third-party risk, internal controls, audit readiness, and risk reduction initiatives.

You will partner closely with teams across Security, Privacy, Engineering, Product, Legal, and Compliance to identify, assess, prioritize, and reduce risk across Dropbox’s products, services, and operations. This role is ideal for someone who enjoys working across domains, can bring structure to ambiguous problems, and is comfortable translating complex technical, regulatory, and business considerations into practical governance programs.

Additionally, you will be responsible for implementing programs and controls to help us maintain user trust and adhere to Dropbox’s AI principles and trust policies. You will help both Dropbox and our customers make informed decisions about the use of AI products and services. 

Responsibilities

Governance Program Management

• Support the design, implementation, and continuous improvement of Dropbox’s Governance, Risk, and Compliance programs, including quantitative risk management (FAIR), governance, controls, compliance readiness, issue management, and risk reporting.
• Plan and execute risk assessments, gap analyses, certification readiness activities, compliance reviews, and audit support processes across areas such as security, privacy, AI, reliability, third-party services, and operational risk.
• Partner with cross-functional stakeholders to identify risks, assess impact and likelihood, define mitigation plans, assign owners, and track risk reduction efforts through completion.
• Drive risk reduction projects that strengthen Dropbox’s control environment, improve operational maturity, and help teams make risk-informed decisions.
• Coordinate improvements to internal risk management systems, workflows, documentation, reporting, and policies to increase consistency, transparency, and program effectiveness.
• Collaborate with internal and external auditors throughout compliance engagements, including evidence collection, stakeholder coordination, gap remediation, and management reporting.
• Support risk reviews of third-party service providers and help connect third-party findings to broader enterprise risk, compliance, and customer trust objectives.
• Lead or support complex, cross-functional governance initiatives, such as software asset management, control rationalization, audit readiness, or risk remediation programs.
• Play an active role in risk incident readiness and response by helping teams prepare for, mitigate, respond to, recover from, and learn from risk events.

AI Governance

• Help implement, maintain, and mature programs that support Dropbox’s AI governance framework, company AI Principles, legal and regulatory obligations, and customer trust commitments.
• Partner with Product, Engineering, Security, Privacy, Legal, Compliance, and business teams to assess AI use cases and define practical governance requirements for intake, documentation, review, approval, monitoring, and issue remediation.
• Support AI risk assessments that consider security, privacy, transparency, reliability, misuse, bias and fairness, data governance, compliance, and operational risk.
• Translate emerging AI regulatory, ethical, and industry expectations into scalable internal policies, standards, controls, and operating practices.
• Develop metrics, KPIs, dashboards, and reporting to communicate AI governance maturity, risk posture, compliance status, and remediation progress to stakeholders and leadership.
• Provide risk-informed guidance to stakeholders and leadership on AI governance decisions, policy updates, regulatory developments, and responsible AI practices.

Business Resilience and Operational Risk

• Support Dropbox’s business resilience program, including business continuity planning, business impact assessments, tabletop exercises, incident readiness, recovery planning, and after-action reviews.
• Partner with key teams to identify critical services, dependencies, operational risks, continuity requirements, and resilience gaps.
• Drive or support tabletop exercises and scenario-based reviews for key teams, helping document lessons learned, owners, timelines, and follow-up actions.
• Track resilience risks and remediation activities, escalating themes, blockers, and emerging risks to appropriate stakeholders or governance forums.
• Help connect business resilience work to broader risk management, compliance, customer trust, audit readiness, and incident response objectives.

Requirements

• 7+ years of experience building or maintaining risk, governance, compliance, audit, business resilience, security, privacy, or related programs
• Experience at a publicly traded, fast paced SaaS company
• Experience managing and reducing AI, security, privacy, or reliability risks
• Knowledge of FAIR quantitative risk methodologies
• Familiarity with a broad range of technical concepts relevant to cloud computing and SaaS environments: logical access, agile development process, security architecture, information security, network security, and privacy
• Strong project management and organizational skills
• Collaborative working style and strong relationship-building skills, with the ability to work effectively with both technical and non-technical teams
• Excellent writing, communication, organizational skills, and strong attention to detail
• Ability to confidently convey nuanced information to senior leaders
• Related professional certifications such as AIGP (AI Governance Professional) or CIPP (Certified Information Privacy Professional) preferred

Preferred Qualifications

• Deep subject matter knowledge in AI governance, security, privacy, or reliability risk, i.e. sufficient technical knowledge to have effective conversations with Dropbox engineers
• Self starter and ability to navigate ambiguity, proven history of owning and delivering a project end-to-end, has strong Executive presence
• Experience completing complex cross-functional projects that can turn into self-sustaining programs as part of a risk team

Compensation

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

See yourself at Twilio

Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team.

About the job

Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance team for Senders and Numbers. Twilio has numerous different types of Senders and Numbers, which are the gateway to accessing all of Twilio’s communication APIs. It is crucial for customers accessing Senders and Numbers to properly register in accordance with local telecommunications regulations, but we also need to make it easy for customers to gain access. In this role, you will own various Senders and Numbers products where you will aim to create streamlined and lovable onboarding experiences while also maintaining best in class compliance standards.

Responsibilities

In this role, you’ll:

• Collect and develop business requirements and collaborate with engineering teams to translate these requirements into user stories
• Partner with cross functional stakeholders to drive product planning, design, execution, and delivery of product investments against defined success metrics
• Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap
• Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth
• Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS
• Proven track record of leading successful product launches and driving product strategies
• Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes
• Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders
• Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals
• Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges
• Experience with the cloud, APIs, communications, and/or enterprise software
• Bachelor in Computer Science, Engineering, or equivalent practical experience

Desired:

• Experience building products/services related to APIs, developer experience
• Experience working in a regulated ecosystem

Location

This role will be remote and based in Ontario, British Columbia or Alberta, Canada. 

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

The estimated pay ranges for this role are as follows:

• $CAD: 145,840.00 - $CAD: 182,300.00 
• Target Bonus Percentage 15%

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

See yourself at Twilio

Join the team as our next Product Manager on Twilio’s Onboarding and Compliance product team.

About the job

Twilio is looking for a highly skilled and motivated Product Manager to join our Onboarding and Compliance team for Senders and Numbers. Twilio has numerous different types of Senders and Numbers, which are the gateway to accessing all of Twilio’s communication APIs. It is crucial for customers accessing Senders and Numbers to properly register in accordance with local telecommunications regulations, but we also need to make it easy for customers to gain access. In this role, you will own various Senders and Numbers products where you will aim to create streamlined and lovable onboarding experiences while also maintaining best in class compliance standards.

Responsibilities

In this role, you’ll:

• Collect and develop business requirements and collaborate with engineering teams to translate these requirements into user stories
• Partner with cross functional stakeholders to drive product planning, design, execution, and delivery of product investments against defined success metrics
• Develop, communicate, generate excitement for and obtain buy-in of the product vision, strategy, and roadmap
• Partner with GTM to launch products and enable sales and marketing teams to obtain product adoption and growth
• Conduct regular data-driven business reviews that analyze product execution and revenue/market accomplishments.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• Minimum of 8 years of experience in product management in SaaS, IaaS or PaaS
• Proven track record of leading successful product launches and driving product strategies
• Command of analytical thinking skills with the ability to use quantitative and qualitative data to make product decisions, get executive buy-in, and drive towards measurable outcomes
• Excellent communication and interpersonal skills, with the ability to influence and collaborate at all levels and present effectively to internal and external stakeholders
• Strong technical, analytical, and UI/UX design understanding and the ability to dive deep while also keeping perspective on the big picture goals
• Initiative, ownership, and accountability to decode vague priorities, manage conflicting inputs, and drive initiatives forward against ambiguous and complex challenges
• Experience with the cloud, APIs, communications, and/or enterprise software
• Bachelor in Computer Science, Engineering, or equivalent practical experience

Desired:

• Experience building products/services related to APIs, developer experience
• Experience working in a regulated ecosystem

Location

• This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.

Compensation

Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.00
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164,640.00 - $205,800.00
• Based in the San Francisco Bay area, California: $183,960.00- $228,700.00
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. 

Applications for this role are intended to be accepted until April 24,2026, but may change based on business needs. 

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the opportunity

We are seeking a Telecom Solutions Architect to serve as a trusted technical and business partner to our customers - understanding the requirements, aligning Wavelo’s solutions to their environments, and driving successful outcomes across the full engagement cycle. This role is designed to become a true trusted partner to customer business and IT groups. This role will participate in solution development, proposal generation and post-contract implementation.

In this role, you will work with Sales and account teams to create effective solutions for customers in the context of their specific environments, technical architectures and business objectives. Success at our company is defined not only by the attainment of business goals but also by our culture, diversity, and many dynamic, cross-functional teams, so we value authenticity, ownership, and the ability to deliver in collaboration! We're looking for candidates from a range of backgrounds who know how to get things done.

Job Duties

• Work collaboratively with Sales teams, Customer Success, Professional Services teams and Product Management to create customer specific solution proposals and support the sales and contracting process.
• Participate in customer facing discussions and presentations of the solution to instill confidence with the customer both in the proposed solution and in Wavelo’s ability to deliver.
• Remain engaged through implementation to adjust solution components as needed and maintain strong customer relationships throughout the delivery cycle.
• Collect and analyze feedback from customers, partners and other teams to inform and shape requirements, features for broader solutions.
• Participate in ongoing account “farming” for add-on opportunities.
• Champion customer needs across internal teams - including Marketing, Engineering, and Customer Support - to continually represent and refine potential solutions.
• Provide Industry knowledge for how we can best position our products and services in a highly competitive marketplace.

Knowledge, Skills and Abilities

Need to Have

• Broad knowledge of Telecom BSS/OSS architectures and solutions including emerging trends such as Agentic AI and 5G monetization strategies.
• Passion for understanding customer needs and the ability to pair this knowledge with solid data and outstanding design to elegantly resolve problems.
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom.
• Ability to lead, preferably with a consensus-based approach, and deliver in a matrix organization with multiple stakeholders.

Nice to have

• Self-starter with a results-oriented work style; strong ability to work independently.
• Demonstrates intellectual curiosity and the desire to learn new things, techniques and technologies.
• Excellent organizational, prioritization and communication skills, with a high level of attention to detail
• Ability to adapt communication style and language to meet the audience’s level of understanding.
• Strong creative thinking skills and an aptitude for effectively problem-solving, even under pressure.
• Proficiency in analytics, data management and dashboarding/reporting.
• Spanish language proficiency is a strong asset, particularly for supporting customer engagements in Spanish-speaking markets.

Qualifications Required

• Ideally, 10+ years of experience developing and deploying BSS/OSS solutions within the mobile app, web or telecom environment
• Background in software development and program management is preferred
• Experience with Agile software development methodologies and the ability to comfortably describe related technical concepts and capabilities

The base salary range for this position is $157,000 – $175,000 USD for US residents OR $146,000 – $162,000 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Learn more about Tucows Benefits.

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the opportunity

We are seeking a Telecom Solutions Architect to serve as a trusted technical and business partner to our customers - understanding the requirements, aligning Wavelo’s solutions to their environments, and driving successful outcomes across the full engagement cycle. This role is designed to become a true trusted partner to customer business and IT groups. This role will participate in solution development, proposal generation and post-contract implementation.

In this role, you will work with Sales and account teams to create effective solutions for customers in the context of their specific environments, technical architectures and business objectives. Success at our company is defined not only by the attainment of business goals but also by our culture, diversity, and many dynamic, cross-functional teams, so we value authenticity, ownership, and the ability to deliver in collaboration! We're looking for candidates from a range of backgrounds who know how to get things done.

Job Duties

• Work collaboratively with Sales teams, Customer Success, Professional Services teams and Product Management to create customer specific solution proposals and support the sales and contracting process.
• Participate in customer facing discussions and presentations of the solution to instill confidence with the customer both in the proposed solution and in Wavelo’s ability to deliver.
• Remain engaged through implementation to adjust solution components as needed and maintain strong customer relationships throughout the delivery cycle.
• Collect and analyze feedback from customers, partners and other teams to inform and shape requirements, features for broader solutions.
• Participate in ongoing account “farming” for add-on opportunities.
• Champion customer needs across internal teams - including Marketing, Engineering, and Customer Support - to continually represent and refine potential solutions.
• Provide Industry knowledge for how we can best position our products and services in a highly competitive marketplace.

Knowledge, Skills and Abilities

Need to Have

• Broad knowledge of Telecom BSS/OSS architectures and solutions including emerging trends such as Agentic AI and 5G monetization strategies.
• Passion for understanding customer needs and the ability to pair this knowledge with solid data and outstanding design to elegantly resolve problems.
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom.
• Ability to lead, preferably with a consensus-based approach, and deliver in a matrix organization with multiple stakeholders.

Nice to have

• Self-starter with a results-oriented work style; strong ability to work independently.
• Demonstrates intellectual curiosity and the desire to learn new things, techniques and technologies.
• Excellent organizational, prioritization and communication skills, with a high level of attention to detail.
• Ability to adapt communication style and language to meet the audience’s level of understanding.
• Strong creative thinking skills and an aptitude for effectively problem-solving, even under pressure.
• Proficiency in analytics, data management and dashboarding/reporting.
• Spanish language proficiency is a strong asset, particularly for supporting customer engagements in Spanish-speaking markets.

Qualifications Required

• Ideally, 10+ years of experience developing and deploying BSS/OSS solutions within the mobile app, web or telecom environment
• Background in software development and program management is preferred
• Experience with Agile software development methodologies and the ability to comfortably describe related technical concepts and capabilities

The base salary range for this position is $157,000 – $175,000 USD for US residents OR $146,000 – $162,000 CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits. Learn more about Tucows Benefits.

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scaling these capabilities across our global marketing operations. Our team’s key responsibilities include designing, building, maintaining autonomous decision-making systems, advanced ML models for marketing optimization, and real-time intelligence that drives measurable business impact. We work at the intersection of modern AI architectures, deep statistical modelling, and enterprise-scale ML operations.

S'more about the team

As a Senior Data Scientist in AdTech, you will design, build, and deploy production-grade machine learning models that drive significant marketing ROI. You will provide critical expertise in advancing our intelligent marketing optimization systems, focusing on the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating complex marketing challenges into robust production systems, you will ensure our AI-driven capabilities deliver measurable business impact and enhanced efficiency at a  global scale

Lettuce share what this role will be responsible for

• Develop, build, and iterate on advanced machine learning models across core adtech domains to optimize marketing performance and contribute to the orchestration of highly efficient marketing workflows.
• Design and implement ML models for Media Optimization, and contribute to their operationalization into high-impact production systems.
• Contribute to Creative Automation efforts by building and enhancing predictive AI models to guide our global production studios.
• Design and build ML models for Value Optimization to intelligently isolate high-value customers.
• Adhere to and contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production.
• Rapidly prototype innovative machine learning solutions, including Gen AI-forward approaches, and integrate them into our existing, orchestrated multi-agent systems to enable complex autonomous workflows.
• Collaborate closely with Product, Engineering, and Marketing to identify high-impact programmatic automation opportunities and execute robust A/B testing and experimentation designs for models in high-noise environments.
• All other duties, as assigned

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

• MSc or equivalent experience in a quantitative discipline with proven experience building and deploying AI/ML systems from prototype to production at scale
• Expert proficiency in Python, PySpark, and SQL, hands-on experience with cloud environments (GCP, AWS, or Azure), and practical experience with modern machine learning frameworks such as HuggingFace, TensorFlow or similar.
• Expertise in applied machine learning relevant to AdTech, including predictive modeling, optimization algorithms, and modern LLM capabilities preferred.
• Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems.
• Strong foundation in statistical analysis and experimentation, with practical experience designing A/B tests to validate the incremental business impact of algorithmic systems
• Demonstrated ability to effectively communicate intricate analytical findings to diverse audiences, bridging the gap between deep technical implementation and core business KPIs
• Track record of building production ML systems with robust practices, demonstrating a bias for action and extreme ownership, treating the business outcomes of your algorithms with a true Founder Mentality
• Experience with programmatic advertising ecosystems, marketing analytics, and the operational aspects of running performance-critical ML models in high-traffic environments

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

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

Flexible Hybrid Approach

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

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

#LI-HYBRID

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

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

What we’re looking for

As a key member of the Strategic Finance team, you will report directly to the Finance Director and serve as the architect of our financial future. We are at a transformative juncture as we migrate from Anaplan to Pigment, and we are hiring this role to lead that transition from the ground up. This is a rare, high-impact opportunity to own the roadmap for our core financial models, define how SurveyMonkey scales its planning capabilities, and serve as the primary technical lead and Pigment subject matter expert for a tool at the center of our global decision-making.

What you’ll be working on

• Lead the end-to-end migration and implementation of SurveyMonkey’s financial models from Anaplan to Pigment, ensuring data integrity and optimized architectural design.
• Architect, build, and maintain complex core models within Pigment, including consolidated P&L, workforce planning, and operational drivers to support company-wide forecasting.
• Serve as the primary System Administrator for the planning platform, managing data integrations, troubleshooting formula logic, and overseeing user permissions and governance.
• Partner with stakeholders across Finance, Accounting, and Business Systems to translate evolving business requirements into scalable technical solutions and automated reporting dashboards.
• Continuous process improvement of the planning cycle by identifying manual bottlenecks and implementing automated workflows to increase the speed and accuracy of the monthly close and budget cycles.

We’d love to hear from people with

• 5+ years of professional experience in FP&A, Finance Operations, or Strategic Finance, with at least 2 years specifically focused on financial systems administration.
• Proven expertise in architecting and maintaining complex, multi-dimensional EPM models (relevant platform certification or equivalent implementation experience strongly preferred).
• Direct experience leading a successful EPM migration (e.g., Anaplan to Pigment, Anaplan to Hyperion, etc.) with a deep understanding of common data architecture challenges during platform transitions.
• Strong technical command of data integration tools and the ability to manage data flows between ERP systems (like NetSuite) and planning environments.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $108,800/year - $147,200/year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution. While this role is remote, it may require in-person participation. You will be encouraged to attend company events throughout the year. These events will take place at a designated SurveyMonkey office or location.

#LI-remote

What we’re looking for

As a key member of the Strategic Finance team, you will report directly to the Finance Director and serve as the architect of our financial future. We are at a transformative juncture as we migrate from Anaplan to Pigment, and we are hiring this role to lead that transition from the ground up. This is a rare, high-impact opportunity to own the roadmap for our core financial models, define how SurveyMonkey scales its planning capabilities, and serve as the primary technical lead and Pigment subject matter expert for a tool at the center of our global decision-making.

What you’ll be working on

• Lead the end-to-end migration and implementation of SurveyMonkey’s financial models from Anaplan to Pigment, ensuring data integrity and optimized architectural design.
• Architect, build, and maintain complex core models within Pigment, including consolidated P&L, workforce planning, and operational drivers to support company-wide forecasting.
• Serve as the primary System Administrator for the planning platform, managing data integrations, troubleshooting formula logic, and overseeing user permissions and governance.
• Partner with stakeholders across Finance, Accounting, and Business Systems to translate evolving business requirements into scalable technical solutions and automated reporting dashboards.
• Continuous process improvement of the planning cycle by identifying manual bottlenecks and implementing automated workflows to increase the speed and accuracy of the monthly close and budget cycles.

We’d love to hear from people with

• 5+ years of professional experience in FP&A, Finance Operations, or Strategic Finance, with at least 2 years specifically focused on financial systems administration.
• Proven expertise in architecting and maintaining complex, multi-dimensional EPM models (relevant platform certification or equivalent implementation experience strongly preferred).
• Direct experience leading a successful EPM migration (e.g., Anaplan to Pigment, Anaplan to Hyperion, etc.) with a deep understanding of common data architecture challenges during platform transitions.
• Strong technical command of data integration tools and the ability to manage data flows between ERP systems (like NetSuite) and planning environments.
• A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $108,800/year - $147,200/year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid

Role Overview

We are seeking an analytical and technically skilled professional to lead the implementation, management, and ongoing enhancement of our cash flow engine. This role will be responsible for modeling balance sheet cash flows, supporting interest rate risk (IRR) analytics, and ensuring the integrity of key metrics such as Net Interest Income (NII) and Economic Value of Equity (EVE).

The ideal candidate brings a strong understanding of asset-liability management (ALM), behavioral modeling, and financial modeling frameworks, along with the ability to translate complex assumptions into actionable insights.

Key Responsibilities

• Support the vendor selection and system implementation of the firm’s cash flow engine / ALM system
• Develop, maintain, and enhance cash flow models for assets and liabilities that will be used for risk monitoring and balance sheet forecasting
• Produce and analyze interest rate risk metrics, including NII and EVE under various scenarios
• Design, document, and support behavioral assumptions (e.g., prepayments, deposit decay, betas, non-maturity deposit modeling)
• Partner with Finance and Risk teams to ensure alignment of modeling assumptions and outputs
• Perform scenario analysis and sensitivity testing to support balance sheet strategy and risk management
• Ensure data integrity, model accuracy, and compliance with internal policies and regulatory expectations
• Support model validation, audit, and regulatory review processes
• Identify opportunities to improve automation, efficiency, and model sophistication

Qualifications

• Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or a related field (advanced degree preferred)
• 5+ years of experience in bank ALM, bank Treasury, IRR modeling, or quantitative finance
• Strong understanding of:
• Bank balance sheets, products, and cash flow drivers
• Net Interest Income (NII) modeling
• Economic Value of Equity (EVE)
• Interest rate risk frameworks
• Cash flow hedging
• Experience developing and supporting behavioral models and assumptions (e.g., deposits, loans, prepayments)
• Hands-on experience with ALM or cash flow engine platforms (e.g., QRM, Empyrean, BancWare, or similar)
• Strong quantitative and analytical skills; proficiency in Excel and/or programming tools (Python, SQL, R a plus)
• Ability to communicate complex modeling concepts to non-technical stakeholders

Preferred Skills

• Experience in banking* or financial services
• Familiarity with regulatory expectations for IRRBB and model risk management
• Experience with model validation or governance frameworks
• Strong problem-solving mindset with attention to detail

What Success Looks Like

• A fully implemented and reliable cash flow engine supporting accurate NII and EVE projections with up to monthly production runs
• Well-documented and defensible behavioral assumptions
• Supporting a cross functional operating model for balance sheet forecasting
• Clear, actionable insights that inform balance sheet and risk management decisions
• Scalable modeling infrastructure that evolves with the business

Compensation

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Seattle, Los Angeles or San Francisco: $207,800 - $259,800
• US employees outside of New York City, Seattle, Los Angeles or San Francisco: $187,000 - $233,800
• Canadian employees (any location): CAD  196,400 - 245,500

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-JD1

Overview

About the Role 

Instacart’s Strategic Finance team partners across the company to drive clarity, allocate resources, and accelerate growth. We are seeking an experienced Senior Financial Analyst to join our Strategic Finance org supporting Instacart Business & Health – Instacart’s longer-term investment areas focused on empowering businesses and improving health outcomes through food access.

In this role, you will leverage data-driven insights to provide strategic guidance, identify new opportunities, and enhance decision-making within the Instacart Business team. Your work will directly impact our growth strategy and contribute to Instacart Business’s long-term vision of accelerating technology adoption across the entire food and beverage supply chain.

This is a rare opportunity to build from first principles while also scaling what works—ideal for someone who thrives in ambiguity, enjoys rolling up their sleeves, and wants to make a tangible impact on Instacart’s next phase of growth. 

About the Team

The Strategic Finance team is an integral thought partner to Instacart's core functional leaders, providing essential support for strategic, financial/investment, and product decision-making. We serve as a point of connection between teams, facilitating collaboration, idea sharing, and alignment to achieve our desired business outcomes.

About the Job

• Serve as the primary strategic finance business partner for Instacart Business and Instacart Health, becoming an expert by gaining a deep understanding of how we drive growth and solve user problems.
• Partner with and influence Instacart leadership (Product/Eng, Data Science, Sales/Commercial teams and C-suite) to develop high-level strategy, formulate business plans, pricing, and evaluate resourcing and profitability trade-offs.
• Work on business problems that involve uncertainty, bringing structure, data, and sound judgment to propose a clear and executable plan.
• Produce executive-ready narratives and materials for business reviews, planning cycles, and leadership updates; communicate complex analyses with clarity and conviction.
• Facilitate strategic planning in collaboration with cross-functional partners, sizing new opportunities, prioritizing initiatives, and implementing performance measurement processes.
• Proactively identify opportunities to automate and improve reporting and planning processes, including exploring AI-enabled workflows to increase speed and accuracy.

About You

Minimum Qualifications

• 4+ years of experience in strategic finance, corporate finance, business operations, investment banking, management consulting, or private equity.
• Bachelor’s degree in Finance, Economics, Business, Engineering, Mathematics, or a related field.
• Advanced financial modeling in Excel or Google Sheets; demonstrated ability to build models and reporting from scratch.
• Proficiency with SQL and BI tools (e.g., Looker, Tableau) to self-serve analysis and automate reporting; experience leveraging AI or scripting to streamline workflows.
• Self-starter with the ability to quickly respond to problems independently and proactively address conflicting stakeholder requirements to achieve creative compromise.
• Strong written and verbal communication skills with a track record of producing executive-ready materials.
• Ability to operate in a fast-paced, rapidly changing environment while managing multiple priorities and meeting tight deadlines.

Preferred Qualifications

• Masters degrees in business and/or a quantitative discipline (e.g. economics, statistics) and background in marketplace or early stage companies are a plus.
• Preferred location is San Francisco Bay Area or New York City; remote candidates within the United States and Canada are welcome to apply.

#LI-Remote

Location: US remote-friendly or any office location - SF, LA, CHI, NY

At Reddit we continue to grow our teams with the best talent. We're completely US remote friendly.

The Data Science Team at Reddit is growing and we are looking for an experienced Data Science Manager to lead a team of talented data scientists to drive and optimize user growth by uncovering insights and driving strategic initiatives. This role will collaborate closely with cross-functional partners (Product, Engineering, Design, Marketing) to help us build and improve the systems that continuously drive our user growth.

Responsibilities:

• Drive the adoption of strategic and tactical recommendations that are based on (1) deep and hands-on experience with Reddit products, and (2) data skills and understanding, to maximize our value to Reddit consumers.
• Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
• Be proactively involved in all phases of product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision-making, post-launch monitoring/measurements etc.
• You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs, reporting dashboards and data aggregations needed for business tracking and/or ML model development.

Required Qualifications:

• Advanced degree (masters or PhD) in a quantitative field such as: statistics, mathematics, physics, economics, or operations research
• For masters holders, 10+ years of industry experience
• For PhD holders, 6+ years of industry experience
• You have experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
• You have built, led and developed high performing product analytics teams before: ideally 2+ years of leadership experience as a people manager, leading a team of 5+ data scientists. 
• Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
• You have led initiatives to enable analytics self serve for cross-functional teams
• You excel at communicating to both technical and non-technical people
• You have an ability to understand nuanced complex concepts and systems, and explain them simply.
• You are proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed
• You have a collaborative attitude and natural curiosity and strong evidence-backed product opinions

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Overview

Instacart’s Agentic Commerce team is building innovative new AI Solutions such as Cart Assistant – an enterprise-grade, consumer shopping agent purpose-built for grocery. Cart Assistant will provide hyper-personalized conversational commerce experiences, helping millions of people discover products, plan what to eat, and shop in easier and more engaging ways than ever before. 

We’re looking for a Principal Product Manager to help bring Cart Assistant to life and make it a product that both consumers and retailers love. This is a fast paced, 0->1, highly visible product role working at the intersection of generative AI, consumer experience, and retailer-facing B2B e-commerce products.

In this role, you will immerse yourself in and deeply understand both consumer and retailer needs, as well as the latest and greatest available agentic technologies. You will partner closely with engineering, machine learning, data science, design and research teams to translate these needs and capabilities into a winning product strategy and a prioritized roadmap. You’ll lead execution, experimentation, and product delivery, working closely with retail partners and senior leadership. 

About the Job

• Set and own the roadmap, translating consumer and retailer needs into a clear vision, milestones, and launch plans
• Lead product discovery, uncover customer pain points and market opportunities, and partner with engineering and design to deliver solutions
• Drive measurable results including product adoption and engagement outcomes. Establish and maintain metrics, dashboards, and regular business reviews, using data insights to prioritize, de-risk, and accelerate the roadmap.
• Lead cross-functional execution with Engineering/ML/DS/Design to execute the roadmap, run rapid experiments, ship iterative improvements, and pivot based on learnings
• Partner with ML, model design, and content design to improve core agent performance and behavior using state-of-the-art methods
• Represent the product to senior leadership and external retail partners, communicating strategy, progress, learnings, and needs with clarity and conviction
• Work with business development, market strategy, and GTM teams to align product and GTM plans, maximizing market impact of launches and product advancements 
• Scale Cart Assistant across Instacart surfaces and products, driving top line business impact for Instacart and our retail partners

About You

Minimum Qualifications

• 8+ years of product management experience
• 5+ years of experience building and shipping consumer-facing commerce products end-to-end, with 2+ years building LLM-powered products in production 
• Proven track record launching at least one 0-to-1 product to general availability with measurable impact on adoption, conversion, revenue, or GTV
• Technical fluency with AI/ML systems and data flows; ability to partner with engineering and machine learning on dependencies and scope tradeoffs 
• Experience defining product OKRs, with significant experience using experimentation to improve products and achieve desired outcomes
• Exceptional communication and presentation skills with senior leadership and external enterprise partners
• Bachelor’s degree in a technical, quantitative, or related field, or equivalent practical experience

Preferred Qualifications

• Experience across both consumer products and B2B/enterprise offerings
• Background spanning startup and large company environments
• Domain expertise in ecommerce, retail, grocery, or marketplace dynamics
• Experience building or improving LLM agent systems and products
• Familiarity with experimentation at scale (A/B testing) and with trust, safety, privacy, and compliance considerations for GenAI products.

#LI-Remote

About the role

We're looking for a Senior UX Researcher who brings rigour and curiosity to both product and marketing research. Someone who's as comfortable running foundational product studies as they are digging into brand perception, buyer mindsets, or how a marketing site actually works for the people using it.

This is strategic, high-visibility work — you'll partner with Product Design, Product Management, Brand, and Marketing to shape what we build and how we tell the world about it.

What makes this role unique:

• Work across both brand and product research, with real influence on each
• Research enterprise developer tools and DevOps workflows — including AI-powered features built for developers
• Fast-paced environment where research directly influences design and business decisions
• Be part of a team of talented, experienced researchers who genuinely invest in each other's growth

What you'll do

• Lead foundational, problem validation, and strategic research projects across your assigned product areas and beyond
• Drive both brand and product research — including buyer persona development, brand perception studies, and digital experience research — that directly informs positioning and messaging
• Be the expert on the users within your area of coverage: their behaviours, pain points, workflows, and goals
• Make connections across research initiatives, surfacing macro insights that no single study could reveal on its own
• Build trusted relationships with Product Design, Product Management, Brand, and Marketing counterparts, guiding them to the right research approach
• Advocate for and socialise actionable insights in a clear and compelling way that increases empathy across the organisation
• Independently drive research prioritisation across stage groups, balancing impact, product direction, and company objectives
• Mentor other researchers and actively shape how the Experience Research team works, through process iteration, documentation, and peer reviews

What you'll bring

• Empathetic, curious and open-minded
• Deep mixed-methods research experience across qualitative and quantitative methods
• A track record in both product research and marketing or brand research
• The ability to guide stakeholders — including senior ones — toward the right approach, even when they arrive with a firm opinion
• Strong instincts for prioritisation across multiple stakeholder groups in a fast-moving environment
• Clear, compelling communication that makes findings land with product, brand, and marketing audiences
• Experience working in a highly iterative, fast-paced environment, with the ability to pivot with sudden changes in direction
• Demonstrated ability to work effectively in a fully remote, globally distributed team — with strong async communication habits
• Self-motivated and self-managing, with strong organisational skills
• Ability to ramp up to a highly technical domain quickly
• Share our values, and work in accordance with those values
• Able to conduct research in a fully remote setting and use GitLab as part of your daily workflow
• Experience working on AI products, particularly for enterprise dev tooling, is a plus
• Experience working on enterprise and/or developer tooling products is a plus

About the Job

Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter?

With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We're growing our Canadian presence and want you to join us as a technical cornerstone of our founding team in Canada.

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure.

We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe.

Find out more at artefact.com.

What You Will Be Doing

As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements in Canada. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement.

This isn't a role where you hand off findings and walk away. You'll be embedded with clients across Canada's most dynamic sectors — financial services, retail, CPG, telecoms, media, and the public sector — co-owning outcomes and ensuring that the models you build don't just perform in a test environment, they create real, lasting impact in production. You'll also be a technical anchor for our Canadian team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge in this market.

Key responsibilities include:

• Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution
• Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
• Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down
• Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
• Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with
• Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value
• Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the Canadian practice
• Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth

What We Are Looking For

We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline before a critical delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful.

You'll arrive ready with the following:

• 4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment
• Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered
• Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code
• Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization
• Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure)
• Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator
• Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land
• Demonstrated ability to lead technical workstreams and mentor junior team membersBilingualism (English/French) is a significant asset, particularly for client engagement in Quebec and federal government contexts
• Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential
• Familiarity with Canada's data privacy regulatory landscape — PIPEDA, Quebec's Law 25, and sector-specific frameworks in financial services and healthcare — is a meaningful differentiator
• Exposure to marketing analytics, customer analytics, fraud detection, risk modeling, or demand forecasting within Canadian financial services, retail, or CPG is a strong asset

Why You Should Join Us

At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different:

Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across Canada's most dynamic industries and business functions — building the kind of range that makes exceptional data scientists truly exceptional. No two engagements are the same.

Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report.

A global technical community, with local roots. With 2,000 data and AI specialists across 36 offices worldwide, you'll have access to some of the most sophisticated data science thinking on the planet — while building something meaningful right here in Canada. You'll bring global best practices to the Canadian market and contribute Canadian insights back to the world.

Founding team energy. We're building our Canadian practice, which means the standards, culture, and technical identity you help create now will define Artefact in this market for years to come. That's a rare opportunity at any stage of a career.

We are united by our values and strengthened by our hybrid expertise:

There is always a way — We're builders, diggers, and makers. Ideas only count if they get executed.
Client trust is won in the field — We show up where it matters, working side by side with our clients to solve what's real.
If not used, it is useless — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered.
If not shared, our work is not done — Sharing knowledge is how we close the loop — for our clients and for each other.
We learn every day — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival.

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.  

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes 
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. 
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Role Description

Responsibilities

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

As a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox’s mission to create a more enlightened way of working. Leveraging cutting-edge AI/ML technologies, you will design, build, deploy, and refine highly reliable AI agents operating at massive scale. Your work will power Dropbox Dash’s universal agentic search and autonomous organization features, transforming how millions of users collaborate, stay organized, and focus on the work that truly matters

Responsibilities

• Design and productionize agentic AI frameworks — including multi-agent coordination, planning, tool-use, and memory — that allow agents to maintain long-term context and execute complex tasks across the Dropbox ecosystem.
• Lead the end-to-end design of ML systems, from fine-tuning (SFT, RLAIF) and advanced prompting to inference optimization and production monitoring.
• Establish rigorous safety, alignment, and evaluation frameworks to ensure our autonomous systems are helpful, honest, and harmless.
• Collaborate across Product, Design, Infra, and Frontend teams to translate ambiguous user needs into concrete AI capabilities that move the needle for the business.
• Mentor junior engineers and serve as a core contributor to the broader Dropbox AI strategy, fostering a culture of technical excellence.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent work experience).
• 8+ years of software engineering experience, with at least 5+ years dedicated to building and deploying production-scale AI/ML systems.
• Professional experience in ML modeling for complex systems such as Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries (e.g., PyTorch, JAX, or similar).
• Strong proficiency in Python (required) and experience with systems languages like Go or C/C++. You should be comfortable building the infrastructure that surrounds the model.
• Extensive experience working with large-scale distributed data systems and high-throughput production environments.
• Exceptional analytical skills and a "bias to action" when navigating ambiguous technical challenges.

Preferred Qualifications

• PhD with a focus on Deep Learning, NLP, or Reinforcement Learning (RLHF/RLAIF).
• Proven track record of taking AI products from concept to launch, either at a massive scale (millions of users) or by leading multiple 0 → 1 cycles in a fast-paced environment.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use (function calling), and advanced RAG.
• Experience with inference optimization, model distillation, or fine-tuning techniques to improve performance and cost-efficiency.

Compensation

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists
• Coach and mentor data scientists of varying experiences to ensure their continued growth 
• Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Identify what matters most and prioritize ruthlessly

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• 3+ years of experience directly managing data scientists or product analysts
• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques
• Experience using data to inform product and business decisions that led to measurable outcomes
• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Compensation

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists
• Coach and mentor data scientists of varying experiences to ensure their continued growth 
• Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Identify what matters most and prioritize ruthlessly 

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• 3+ years of experience directly managing data scientists or product analysts
• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques
• Experience using data to inform product and business decisions that led to measurable outcomes
• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Overview

Instacart’s Strategic Finance team partners across the company to drive clarity, decisions, and results. Within our Growth pillar, we lead forecasting and insights for our Core grocery business. We are hiring a Senior Strategic Financial Analyst to own topline forecasting, deepen understanding of revenue and unit economics, and translate insights into actions that accelerate growth.

In this role, you’ll join a small, high-impact team within a 25-person Strategic Finance org. You’ll partner closely with Product, Marketing, Business Development, and Data Science, and you’ll regularly develop materials for and engage with senior leadership. If you thrive on rolling up your sleeves, diving into data, and shaping strategy with executive stakeholders, this role offers meaningful scope and visibility. 

This is a remote role open to candidates across the U.S. and Canada; West Coast time zone preference is helpful but not required.

About the Job

• Own topline forecasting for Instacart’s Core grocery business, building and maintaining driver-based models that clearly tie to business performance and operational levers.
• Lead proactive deep dives on revenue and unit economics (e.g., LTV, CAC, conversion, AOV, contribution margin) to identify growth opportunities, surface risks, and recommend experiments that improve forecast accuracy and business outcomes.
• Partner cross-functionally with Product, Marketing, Business Development, and Data Science to align assumptions, improve data quality, instrument new metrics, and operationalize insights into roadmaps.
• Develop executive-ready materials for leadership, including narrative memos, dashboards, and scenario/sensitivity analyses that inform strategic priorities, resource allocation, and trade-off decisions.
• Own initiative reporting across marketing, product, and enterprise programs; standardize measurement, track incremental impact, and ensure clear readouts for weekly growth reviews, monthly business reviews, and ad hoc deep dives.
• Collaborate with other Strategic Finance teams to assess the impact of retailer, supply, and marketing initiatives on Core business performance; support investor relations, Board materials, and company-wide Planning.
• Continuously refine and automate models and reporting to improve speed, accuracy, and decision-making, balancing near-term deliverables with long-term scalability.

About You

Minimum Qualifications

• 3+ years of experience in strategic finance/FP&A, investment banking, or management consulting.
• Bachelor’s degree in Finance, Economics, Business, Engineering, Mathematics, or a related quantitative field.
• Advanced proficiency in Excel or Google Sheets, including building driver-based financial models, revenue forecasts, and scenario/sensitivity analyses.
• Experience preparing and presenting executive-ready materials to VP/C-suite stakeholders, with the ability to distill complex data into clear business narratives.
• Track record of owning end-to-end forecasting and performance reporting for a product line, business segment, or revenue stream.

Preferred Qualifications

• Experience in a two-sided marketplace or consumer internet business (e.g., on-demand, e-commerce, advertising, or subscription models).
• Proficiency with SQL for self-serve analysis; familiarity with BI tools such as Looker or Tableau.
• Experience partnering cross-functionally to define metrics, align on assumptions, evaluate experiments, and operationalize insights.
• Background creating materials for Board meetings, investor relations, and quarterly/monthly business reviews in a high-growth environment.
• MBA, CFA, or other relevant advanced credential.
• Ability to collaborate effectively across time zones; availability to align to West Coast hours when needed is a plus.

#LI-Remote

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.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, recommending and implementing technical solutions, designing experiments, shaping team priorities, and measuring the impact of new features.

The Verticals team encompasses 3 critical and unique products / marketplaces within Lyft: airports, scheduled rides, and events. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experiences and have unique considerations and dynamics. Scheduled rides allow riders to book a ride in advance with high reliability, and enable drivers to add structure to their work schedule. Lastly, events such as concerts or sporting games require similar considerations of special operations to ensure a seamless experience for both riders and drivers. 

As a Data Scientist on the Verticals team, you will collaborate with engineering, product, design, and operations to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:

• How can we efficiently match riders and drivers together in these unique marketplaces, to minimize ETAs and improve the driver experience? 
• Are we able to forecast ride demand and implement driver guidance to ensure riders can rely on Lyft for an event ride?
• What is the most helpful way to display ride information to drivers so they can make informed decisions?
• What rider segments should we target with ride incentives to grow our marketshare for these verticals? 

Responsibilities:

• Construct and fit statistical or optimization models to make production decisions such as changes to how we match riders and drivers; focusing on model proposal and offline model development 
• Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending technical solutions to drive business impact 
• Design and analyze online experiments, including communicating results, acting on launch decisions, and recommending next steps based on learnings
• Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
• Develop analytical frameworks to monitor business and product performance, leveraging experiments and causal inference
• Establish metrics that measure the health of our products, the business, as well as the driver experience

Experience 

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years of industry experience in a data science, analytics, or management consulting role
• Proficiency in SQL and Python
• Ability to perform technical experiments, including user split, time split, and region split
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners

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 $108,000 - CAD $135,000, 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.

Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products.

We are seeking a Data Science Manager to translate data into the actionable insights and algorithms that improves Rider App experiences our rider loves. In this role, you’ll shape the vision and drive execution across conversion, personalization, and platform health, ensuring we build durable relationships with every rider. By partnering with cross-functional leaders in Pricing, Loyalty, and ML teams, you will evolve our platform for both existing riders and expanding to serve new segments (e.g., Lyft Silver, Teens).

This is a high-visibility, high-impact role with direct influence on Lyft’s ride experience across millions of riders and rides everyday. The ideal candidate will bring deep expertise in advanced analytics, machine learning, causal inference, experimentation; strong business acumen in two-sided marketplace contexts; and a proven track record of leading product data science teams in fast-paced, cross-functional environments.

Responsibilities: 

• Lead, mentor and grow a high-performing team of Data Scientists and Analytics, focusing on improving end-to-end Rider App experience (booking → waiting → pickup → in-ride → post-ride) with algorithm development, machine learning, experimentation and advanced analytics. 
• Partner with Product Managers and Engineering leads to define the vision and roadmap for the Rider App experience (e.g., personalized UI, merchandising strategy), ensuring alignment with overall business strategy.
• Lead and execute the data science vision and roadmap for initiatives across Rider App Experience. Raise the bar on scientific rigor.
• Establish robust experimentation and causal inference frameworks to measure the business impact of new features in a two-sided marketplace.
• Conduct deep analyses of complex, large-scale datasets to uncover opportunities for growth, operational efficiency, and improved rider experience.
• Translate technical findings into actionable business insights for executive leadership.
• Champion data-driven decision-making, ensuring that product and strategy decisions are informed by rigorous quantitative analysis.
• Drive innovation by staying current with emerging research, technologies, and industry best practices in AI powered data science workflow.

Experience: 

• Master’s or PhD in a quantitative field (Statistics, Applied Math, Economics, Computer Science, Operations Research) or equivalent practical experience.
• 5+ years of progressive experience in data science, machine learning, optimization, or causal inference, including building complex science framework to guide critical business decisions 
• 2+ years of people management experience leading high-performing technical teams, with a proven ability to mentor, develop, and retain top talent.
• Demonstrated ability to set a strategic vision for data science and translate it into impactful, scalable solutions that drive measurable business outcomes.
• Deep expertise in experimental design, causal inference, machine learning, and statistical methodologies, with a track record of applying them to high-stakes product or marketplace decisions.
• Experience navigating complex, ambiguous problem spaces and guiding teams through prioritization, tradeoffs, and execution.
• Strong communication and influence skills, with the ability to engage both technical and executive stakeholders, align priorities, and build consensus.
• Hands-on proficiency with SQL, Python, large-scale data processing tools and machine learning frameworks
• Preferred Qualifications
  • Experience with consumer mobile apps, marketplaces, or two-sided platforms.
  • Familiarity with personalization, content recommendation, uplift modeling, or lifecycle management.

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 Canada area is CAD $172,000 - CAD 215,000, 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.

The Safety & Customer Care (SCC) organization manages over 1.7 million monthly customer interactions and is responsible for ensuring the trust and safety of our riders and drivers. We work every day to build a trusted community, foster safe interactions, manage risky situations, and deliver best-in-class support. As part of this team, you will play a critical role in making transportation safer for all.

We are looking for an experienced and highly motivated Data Scientist to join the Community Safety Data team and lead key initiatives that enhance the safety of Lyft’s community. You’ll work cross-functionally with product management, engineering, design, legal, research, and operations teams to build impactful safety features, models, and systems. This high-impact role requires deep customer empathy, insatiable curiosity to uncover platform risks; and competencies to explore large datasets, develop statistical models, and design data-driven strategies for products that provide safe and engaging experiences for customers.

You’ll report to the Director of Data Science for the SCC org.

Responsibilities:

• Leverage data and analytical frameworks to identify opportunities for improving community trust and safety
• Partner with product managers, engineers, designers, marketers, and operators to translate insights into scalable, safety-forward decisions
• Design and analyze online experiments; interpret and communicate results to influence product launch decisions
• Build and monitor key metrics that reflect rider and driver safety, product health, and policy compliance
• Develop rigorous measurement strategies to evaluate the effectiveness of safety features, interventions, and detection systems
• Drive proactive risk identification and continuous improvement through analysis, experimentation, and iteration
• Mentored junior data scientists by providing guidance, feedback, and support to accelerate their technical and soft skill growth and impact.

Experience:

• Degree in a quantitative field such as Statistics, Economics, Applied Mathematics, Operations Research, or Engineering (advanced degrees preferred), or equivalent professional experience
• 3+ years of industry experience in data science or product analytics roles
• Proficiency in SQL with ability to write efficient queries on large, complex datasets
• Experience programming in Python or R, especially for data analysis, visualization, and modeling
• Strong foundation in statistical analysis and experimentation, including A/B testing design and/or Causal Inference techniques
• Excellent written and verbal communication skills with ability to influence cross-functional partners and executives, and translate data into compelling stories
• Self-starter with a curious mindset and a strong sense of ownership
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities, and an obsession for data quality
• Prior experience in Trust & Safety, or Platform Integrity domains is a plus

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 $108000-$135,000, 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.

We are looking for a Finance Manager to support our Global Growth & Strategic Planning team. This role will be located in our Toronto office. The ideal candidate will bring natural curiosity, financial rigor, and a continuous improvement mindset to the team driving financial analysis in support of strategic decision making at Lyft. This finance partner will have the opportunity to work in a team that will support, inform and influence decisions that can have a real impact on the P&L and can truly help shape Lyft’s future.

Responsibilities

• Long-range plan: Build and own a sophisticated, multi-year, full company model that quantifies Lyft's financial potential, and serve as the connective tissue between corporate strategy and LOB P&L owners.  Bridge the tops-down model to the bottoms-up plans that each business unit develops.  Surface the opportunities, risks, and trade-offs. 
• Annual plan: Translate the Long-Range Plan into Annual Plan targets by line of business, construct a defensible long-range plan to annual plan bridge, and assist in creating durable line of business accountability against external financial commitments.
• Competitive intelligence: Produce strategic intelligence briefs following competitor earnings or other announcements.  Reverse-engineering metrics to produce shadow P&Ls while integrating sell-side investment research.  Creating forward-looking financial metrics and illuminating actionable insights for the leadership team.
• Ad hoc analysis: Lead financial analysis for ad-hoc strategic projects and executive requests, often under tight timelines and with incomplete information.  Prepare executive-ready presentations that distill sophisticated financial analysis into clear recommendations for the leadership team

Experience:

• 5+ years in investment banking, management consulting, strategic finance, or corporate finance, with demonstrated financial modeling excellence
• Strong business acumen with ability to connect financial metrics to underlying business drivers and competitive dynamics
• Experience building financial models from scratch, P&Ls, cash flow projections, scenario analyses, sensitivity tables
• Comfort operating in ambiguity: structuring loosely-defined problems, making defensible assumptions, and driving to decisions with imperfect information
• Excellent communication skills with ability to tailor messaging for different audiences, from technical finance teams to executive leadership
• Strong attention to detail and ability to deliver accurate, high-quality work while managing competing priorities in a fast-paced environment
• Bachelor's degree in Finance, Accounting, Economics, or related quantitative field
• Preferred
• 2+ years in equity research, consulting, investment banking, or private equity with experience building and maintaining complex financial models. 
• MBA or CFA designation
• Deep familiarity with rideshare, mobility, or marketplace business models 
• Established framework for competitive intelligence, tracking competitor disclosures, reverse-engineering metrics, synthesizing market trends
• Experience supporting long-range planning processes at high-growth companies

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 $145,000 - CAD $181,250, 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.

Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

You will report into a Science Manager.

Responsibilities:

• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and run both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

• Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields
• 2+ years professional experience in a technology companies
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency with Python, or another interpreted programming language like R or Matlab
• Willingness to collaborate and communicate with others to solve a problem

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 $108,000 - CAD $135,000, 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. 

At Lyft, our Financial Planning & Analysis (FP&A) team plays a vital role in driving the company’s mission to improve people’s lives with the world’s best transportation. We partner closely with business leaders to translate data into actionable insights that maximize ROI, strengthen profitability, and fuel sustainable growth. 

This Finance Analyst role will support our Rideshare business — the heart of Lyft’s operations — helping shape strategy, forecast performance, and guide critical decisions that impact millions of riders and drivers every day. We are seeking a highly analytical and detail-oriented professional with exceptional financial acumen and strategic thinking skills. Strong communication, prioritization, and teamwork are essential, along with a proactive, results-driven mindset.

This is a unique opportunity to play a hands-on role in the financial future of one of the most innovative, mission-driven companies in the tech and mobility space.

Responsibilities:

• Develop, maintain and enhance financial models to assess performance, growth opportunities, and operational efficiency.
• Run scenario analyses to evaluate trade-offs and guide decision-making.
• Support the development of 3–5 year strategic business plans that align with the company's overall vision and growth targets.
• Collaborate with teams across Operations and Product, to connect financial outcomes with business levers.
• Enhance forecasting accuracy and reporting efficiency through automation and scalable tools.
• Develop sustainable financial data management/sourcing practices to enable our team and business partners to move fast 
• Deliver clear, actionable insights through dashboards, reports, and executive presentations.
• Ensure accurate and transparent financial reporting through collaboration with Accounting and Data teams
• Support continuous improvement across FP&A systems and processes.

Experience:

• A Bachelor's degree in a quantitative field (e.g Economics, Computer Science, Mathematics, or Finance) with at least 2-3 years of experience in financial planning and analysis, preferably in a dynamic and challenging environment.
• Demonstrated ability to develop complex financial models, with excellent quantitative analysis and forecasting skills.
• Strong G-Sheet and Slide skills is a plus, excel / PPT is ok
• Ability to translate complex financial data into actionable insights that guide executive-level decision-making.
• Proven capability to work effectively in a fast-paced, team-oriented environment.
• Comfort in dealing with ambiguity and the ability to derive insights from incomplete information.
• A detail-oriented, highly organised self-starter with the ability to manage overlapping tasks and frequent priority changes.
• Strong communication and interpersonal skills, with the ability to influence cross-functional teams.
• Proficiency in SQL and ERP systems, such as Oracle Essbase or Anaplan, is preferred.

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 $90,000 - CAD $112,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. 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.

Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of product changes.

The Events & Venues team covers all situations related to events, such as sports games being held at a stadium, concerts being held at a local venue, or a running race held in an area of a city. Events are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As an Analytics Lead on the Events & Venues team, you will collaborate with our team of engineers, product managers, operations, and designers to conduct thorough data deep dives on event performance, challenge our current strategy, and recommend enhancements to facilitate market growth.

The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as:

• What gaps exist in our performance at events & venues today? What areas of the rider and driver experience should we focus on to improve this marketplace? 
• Which types of events are underperforming and which key metrics can we use to identify and classify event performance? What targets should we set for these key metrics and how do we efficiently monitor these metrics?
• How should we be pricing event rides? Who are our current event riders and what segment is most likely to grow our rider base? 
• What is the impact of Lyft advertising and should we continue to invest? 

Responsibilities:

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency, recommending solutions to drive business impact
• Establish metrics that measure the health of our products, the business, and the rider and driver experiences
• Manage, build, and automate reporting to provide regional and national teams with actionable insights on volume, efficiency, and rider and driver experiences
• Partner with product managers, engineers, marketers, designers, and operations to translate data insights into decisions and action
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience:

• 4-7+ years experience in strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• End-to-end experience with data, including querying, aggregation, analysis, and visualization, to provide actionable insights and reusable frameworks
• Extremely proficient in SQL and quantitative analysis - you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Exceptional communication skills with the ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
• Ability to manage, influence, negotiate, and inspire others in a fast-moving environment
• Strong business and product sense, meaning the ability to understand business issues, think strategically about complex and unstructured business problems, and build decision making frameworks
• Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results

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 $108,000 - CAD $135,000, 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.

As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.

Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:

• How do we improve the quality of our map data in order to improve our recommendations?
• How do we benchmark and measure the success of our services?
• How do we validate features of the real world that affect our routing algorithms?
• Are we meeting our travel estimation promises to our customers?

Responsibilities

• Leverage data and analytic frameworks to identify opportunities for growth and efficiency
• Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
• Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty
• Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope
• Design and analyze online experiments; communicate results and act on launch decisions
• Establish metrics that measure the health of our products, as well as rider and driver experience
• Identify and drive impact and alignment, shaping product and business strategy through data-centric presentations 
• Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable

Experiences

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
• 3+ years experience in a data science role or analytics role
• Demonstrated ability to own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Proficiency in SQL - able to write structured and efficient queries on large data sets
• Experience in programming, especially with data science and visualization libraries in Python or R, and machine learning libraries such as PyTorch, TensorFlow, Keras
• Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
• Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs
• Experience in applying machine learning techniques is a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
• Expertise in metric design, causal analysis, behavioral analytics, decision frameworks and measurement strategy is a plus
• Experience working with ETL pipelines a plus

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 $108,000 - $135,000, 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.

Data and analytics are at the heart of Lyft's products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets across America. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep.

In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from fleet management and operations performance to pricing and product features to long-term investments in bikesharing infrastructure.

We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you.

Responsibilities:

• Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues and propose solutions
• Develop frameworks, business logic and scalable processes to streamline reporting and drive decision-making
• Forecast operational requirements needed to maintain high service levels and meet contractual and financial targets
• Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners
• Monitor and diagnose KPI performance and present findings to senior leadership

Experience:

• 3-5+ years experience in data analytics in a high-growth environment, preferably a consulting, operations or transportation / logistics space
• Bachelor's Degree or equivalent relevant professional experience
• Highly skilled in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions
• Ability to develop scalable approaches and produce data visualizations to drive business insights and provide tangible solutions; experience building dashboards for performance analysis is a plus
• Extreme comfort working with ambiguity. Ability to translate unclear issues or unstructured problems into clearly defined requirements with minimal oversight
• Strong interpersonal skills, with the ability to build relationships, trust and influence with cross-functional partners
• Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
• Strong attention to detail, structured thinking and experiences developing processes to reduce human error
• Adept at contextualizing real world operations into analytical problem solving
• A strong sense of product ownership - you’re constantly looking for ways to improve the customer’s experience and aren’t afraid to get your hands dirty to do so
• Passionate about sustainable mobility and active transportation
• Bonus: Proficiency in Python and associated data science libraries

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 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

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 $96,000 - CAD $120,000, 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 Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:

• Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
• Intelligent advertising systems including ranking, bidding, measurement, and optimization
• Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
• Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
• Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. 
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment 
• Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

• Ads Measurement Modeling 
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

About Wunderkind:

Wunderkind is a leading performance marketing engine that helps brands and publishers drive truly personalized, high-performing experiences across owned and paid channels. We pair deep identity, powerful AI, and scaled media to unlock performance that brands can’t get anywhere else.

We continue to invest in display advertising and are now investing heavily in expanding our display ads product suite – and we’re looking for a Principal Product Manager to define and drive that vision.

Role Overview

We’re hiring a Principal Product Manager to own the end-to-end product strategy, roadmap, and execution for Wunderkind’s next-generation advertising offerings.

In this role, you will:

• Define the vision and strategy for how Wunderkind ads – from ad formats and targeting to measurement and optimization.
• Partner deeply with engineering, data science, sales, client success, and partnerships to bring differentiated ads solutions to market.
• Act as the internal and external thought leader for advertising: shaping our point of view, informing GTM, and representing Wunderkind with clients and partners.
• Drive meaningful revenue impact, advertiser performance, and product differentiation in a fast-moving, highly competitive space.

This is a high-visibility, high-ownership role for a product leader who loves complex ad ecosystems, cares deeply about customer outcomes, and can operate at both strategy and execution levels. This role reports directly to the VP of Product and will shape a key strategic pillar of the company's growth in 2026 and beyond.

What You’ll Own

Product Strategy & Vision

• Develop and continuously refine the multi-year product vision and strategy for Wunderkind’s advertising products.
• Define where we play and how we win: inventory sources, identity strategy, targeting and optimization capabilities, measurement, and creative.
• Create a clear, opinionated product roadmap that balances foundational capabilities, experimentation, and strategic bets.

Product Discovery & Customer Understanding

• Spend time with advertisers, agencies, and partners to deeply understand their goals, workflows, and constraints.
• Identify and quantify customer problems and opportunities across targeting, pacing, frequency, attribution, and incrementality.
• Translate qualitative and quantitative insights into clear product hypotheses, requirements, and experiments.

Execution & Delivery

• Work closely with engineering, data, and design to deliver high-quality capabilities on time and with measurable impact.
• Write crisp PRDs / specs, define success metrics, and ensure we ship iterative, learn-fast increments rather than big-bang releases.
• Partner with data science to design experiments, test new optimization strategies, and measure performance lift over baselines.

Go-to-Market & Commercial Impact

• Collaborate with sales, marketing, and client success to define packaging, pricing, positioning, and enablement for advertising offerings.
• Support key client conversations as the product expert for Ads and help unlock/scale strategic deals.
• Monitor product performance, adoption, and revenue – and rapidly adjust the roadmap to maximize business and client impact.

Cross-Functional Leadership

• Align stakeholders, making tradeoffs, and keeping everyone focused on outcomes.
• Drive alignment with other product areas (identity, measurement, creative, AI/optimization) to ensure Ads is tightly integrated into the broader Wunderkind platform.
• Mentor PMs and help raise the bar on product quality, rigor, and execution across the org.

What Success Looks Like

In your first 12–18 months, success looks like:

• A clear, well-understood Ads product strategy and roadmap that the org believes in and can execute against.
• Launched and scaled Ads capabilities that deliver measurable improvements in advertiser performance (e.g., ROAS, incrementality, reach quality, retention).
• Strong adoption and revenue contribution from Ads offerings, with clear proof points and case studies.
• Deep trust from engineering, GTM teams, and leadership as the go-to person for Ads.

Required Qualifications

• 10+ years in product management, with significant time in programmatic & advertising technology
• Proven track record of:
• Owning product strategy and roadmap for a complex, multi-stakeholder product.
• Driving 0→1 and 1→N product development, not just incremental feature work.
• Delivering products that show clear, quantifiable business impact.
• Experience at:
• An ad tech company (DSP, SSP, platform, or publisher).
• Experience integrating with:
• Major inventory sources and streaming platforms.
• Identity partners, clean rooms, or measurement providers.

Desired Qualifications

• Deep ad tech fluency – you understand how impressions get bought/sold, how identity works in ads, the role of clean rooms, and what makes targeting/measurement actually work.
• AI literacy - you orchestrate and build AI systems that elevate how you work.
• Strong product judgment – you can quickly cut through noise, identify what matters, and make hard tradeoffs.
• Analytical and data-driven – comfortable with experimentation, measurement, and digging into metrics with data teams.
• Excellent communicator – you can move seamlessly between executive-level storytelling, technical depth with engineering, and practical value framing for sales and clients.
• Highly collaborative – you bring people along, listen well, and can drive alignment across product, engineering, and GTM.
• Bias to action – you are comfortable making decisions with imperfect information and iterating quickly.

Nice-to-Haves

• Background working with AI/ML optimization in bidding, pacing, or creative decisioning.

Location & Work Setup

• Location: Based in the US or Canada.
• Remote: Fully remote friendly.
• Preference: New York City or ability to spend meaningful time with teams in NYC is a strong plus.

How to Apply

If you’re excited about building the next generation of advertising products and want to do it with a team that cares deeply about performance, experimentation, and craft, we’d love to hear from you.

Please apply via our careers page and include a brief note on:

• An ad product you’re most proud of
• The measurable impact it had
• Your specific role in making it successful

The base salary range for this role is $210,000 to $260,000. Actual compensation packages are based on several factors that are unique to each specific candidate; including but not limited to skill set, depth of experience, applicable certifications, and geographic work location. This may vary depending on living location and market rate.

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 3+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, this opportunity is hybrid and requires you to work from the SurveyMonkey office in Heredia 2 days per week.

Please apply using an English version of your resume/CV.

#LI - Hybrid

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 2+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $68,595.00 / year - $80,700.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

#LI-remote

What we’re looking for

We are looking for a Finance Planning and Analysis (FP&A) Specialist to serve as a key strategic partner for our G&A functions. In this high-visibility role, you will support operational and financial planning, business analysis, and decision-making for senior leadership. You will have a platform to influence significant decisions and lead strategic projects that directly contribute to SurveyMonkey’s growth. This role is ideal for someone who thrives on solving complex problems and connecting financial activities to broader business success.

What you’ll be working on

• Drive Strategic Planning: Lead the annual budgeting and monthly forecasting cycles for G&A functions to ensure departmental resources and headcount align with company-wide financial targets.
• Architect Financial Models: Build sophisticated, scalable models to evaluate new business initiatives, cost-saving opportunities, and the ROI of long-term strategic investments.
• Deliver Executive Insights: Synthesize complex datasets into clear, concise presentations that translate financial metrics into strategic recommendations for the leadership team.
• Optimize Systems and Processes: Partner with cross-functional teams to automate reporting workflows and enhance the data integrity of our ERP and financial planning tools.
• Manage Collaborative Projects: Oversee end-to-end financial workstreams, ensuring all stakeholders are aligned on project milestones and fiscal objectives.

We’d love to hear from people with

• Professional Experience: 2+ years of experience in high-growth corporate finance, investment banking, or management consulting.
• Industry Knowledge: Prior experience working within the technology or SaaS sector, demonstrating an understanding of industry-specific financial drivers.
• Technical Proficiency: Advanced expertise in Excel (complex modeling and data manipulation) and experience navigating ERP or EPM systems (e.g., NetSuite, Workday Adaptive Planning).
• Analytical Rigor: A proven track record of managing large-scale data projects and maintaining high accuracy while meeting tight deadlines.
• Education: A Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative field.

The base pay provided for this position ranges from CAD $68,595.00 / year - $80,700.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits. 

This opening is for an existing vacancy.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Ottawa office up to 1 day per week.

#LI-Hybrid