S'more about the team

As the Product (Menu) Operations Manager at HelloFresh Canada, you are responsible for the planning, execution, and performance of the weekly menus that form our product offering. You will leverage expertise in process optimization and data-driven project management to turn operational efficiencies into a superior product experience that fuels long-term customer retention and growth.

Reporting to the Senior Manager of Data Analytics, you will act as the strategic glue between Product Strategy & Innovation, Supply & Demand Planning, and Ingredient Sourcing Teams. In this role, you navigate the tension between business ambitions and real-world constraints, ensuring every menu release is both commercially viable and a delight for our customers.

Lettuce share what this role will be responsible for

• Air Traffic Control: Own the end-to-end menu lifecycle, facilitating weekly reviews & leadership sign-offs, and ensuring the menu is released on time while meeting all stakeholder needs.
• Operational Governance: Review algorithmic outputs against real-world supply chain constraints and make trade-offs between cost-to-serve and value for the customer.
• Systemic Optimization: Improve tooling, systems, and workflows to reduce friction and eliminate unnecessary overhead in day-to-day menu planning work.
• Data Reporting & Analysis: Drive weekly menu performance reporting and business review meeting preparation, including narrative, insights, and executive-ready materials.
• Ingredient & Recipe Strategy: Support key decision makers by providing data-backed input on recipe budget targets, development opportunities, and ingredient onboarding & usage.
• Stakeholder Liaison: Serve as the primary point of contact for overall menu performance, budget variance drivers, and implementation of specialized offerings like Limited Time Offerings (LTOs) and Fast-Track initiatives.
• Other operational and strategic duties as assigned.

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

• Experience: 3-6 years in Product Operations, Commercial Planning, or Strategic Operations role with demonstrated ability to influence senior leadership (Tech/CPG environment preferred).
• Systems Thinking: You see the menu not as a list of recipes but as a multi-dimensional engine, balancing hard operational inputs (i.e. COGS, Labour, Supply) against the needs of the customer (Value, Variety, Quality) to deliver a product that feels personalized at scale.
• Team Player: Demonstrated ability to collaborate cross-functionally, manage multiple priorities, and drive alignment across teams.
• Sturdy Leadership: Comfortable adapting to changing circumstances and operating in fast-moving, ambiguous environments while building structure and driving clarity.
• Solutions Mindset: Structured thinker who can translate undefined problems into clear problem statements and execution plans.
• Project Management: Proven background in managing complex timelines and directing communications across multiple business teams.
• Data-Literacy: Advanced proficiency in Google Sheets/Excel modelling (required) and a demonstrated ability to structure findings for cross-functional stakeholders. (SQL is nice to have).

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!

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

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. 

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.

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.

About the Role

This role will optimize Factor supply chain operations and implement long-term strategies aligned with business objectives. Working closely with Sourcing, Demand Planning, Procurement, and other key stakeholders, you will play a crucial role in delivering exceptional value to our customers. By optimizing purchasing and manufacturing plans, you will ensure we have the right product, in the right quantity, at the right place, and at the right time. This role demands a strategic mindset, strong analytical skills, and effective collaboration to ensure a seamless flow of goods and services. We are looking for a creative problem-solver who can think outside the box to design and implement innovative processes and solutions.

As a Supply Planner, you will be a key player in managing our inventory and supply chain. Your responsibilities include creating and executing replenishment plans, managing key performance indicators (KPIs), and collaborating with various teams to support new product launches and manage existing product life cycles. You will also have the opportunity to work on ad-hoc improvement projects to enhance our processes and overall efficiency.

What you will be doing:

• Manage inventory levels nationally and prepare replenishment plans for assigned products in a timely manner, in line with the weekly operational cycle.
• Share short terms purchasing and/or manufacturing forecasts with relevant suppliers.
• Determine inventory strategy and planning parameters i.e.  target levels or storage facility.
• Report on supply planning KPIs (including but not limited to inventory position, stock outs, waste and capacity).
• Analyze supply chain performance metrics and identify areas for improvement.
• Collaborate with the Purchasing team on potential risks and propose corrective actions.
• Work closely with Strategic Sourcing as well as Demand Planning to support new product launches, and build the category strategy plan.
• Work closely with the Menu Planning and Inventory Team to effectively offboard product and reduce/eliminate excess and obsolete inventory.
• Maintain supply planning tools, ensure correctness of data flow.
• Assist with budget preparation; provide inputs on storage and transportation requirements across our network of DCs and third party warehouses.
• Work on ad-hoc improvement projects; other duties as assigned.

At a minimum, you have: 

• Bachelor’s Degree or equivalent in Business, Supply Chain or related fields.
• 2 - 5 years experience in Supply Chain, Operations Management, Inventory Management or related fields.
• Proficiency in software (Google Sheets, Excel) complemented with exceptional analytical and problem solving skills.
• Ability to handle multiple projects and assignments, while being able to prioritize, achieve objectives, and meet deadlines
• An ownership mindset and ability to work independently, with minimal supervision.
• Proven team player, with strong interpersonal and communication skills.

Would be an asset if you have

• ASCM certification (CSCP, CPIM)  or actively working towards.
• Database management experience (e.g. SQL, Python, Tableau).
• Foundational understanding of statistics, including but not limited to normal distributions and standard deviation.
• Prior experience in the food industry or respective category.

What you’ll get in return:

• 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

As a member of the HelloFresh team, you know that we are committed to changing the way people eat forever. Over the years we've seen this mission spread around the world and beyond our wildest dreams - and you have played an important role in that. At HelloFresh we have a unique opportunity to not only grow an incredible business, but ourselves as professionals as well. We know that the right person for an open role may already be a part of HelloFresh, and we want to make sure that you have the chance to step up and put your best foot forward! 

A message from our SLT: 

In an industry as new as ours, the company/industry knowledge, team connections, and historical context our team can bring to new roles helps them scale very quickly. Internal moves give us the ability to stretch and try new things and it is always exciting to see a teammate flourish and find a new passion. As a HelloFresh team member you are a huge part of our success, by offering challenging and interesting new roles HelloFresh hopes to be a big part of your success and growth! Promoting and hiring from within is always the goal. It's every manager at HelloFresh's job to hire and develop people better than ourselves, and no better way to do it than looking within our four walls. Let's roll up our sleeves, learn some new things, and together we will change the way people eat forever!

About the Role

This role will optimize Factor supply chain operations and implement long-term strategies aligned with business objectives. Working closely with Sourcing, Demand Planning, Procurement, and other key stakeholders, you will play a crucial role in delivering exceptional value to our customers. By optimizing purchasing and manufacturing plans, you will ensure we have the right product, in the right quantity, at the right place, and at the right time. This role demands a strategic mindset, strong analytical skills, and effective collaboration to ensure a seamless flow of goods and services. We are looking for a creative problem-solver who can think outside the box to design and implement innovative processes and solutions.

As a Supply Planner, you will be a key player in managing our inventory and supply chain. Your responsibilities include creating and executing replenishment plans, managing key performance indicators (KPIs), and collaborating with various teams to support new product launches and manage existing product life cycles. You will also have the opportunity to work on ad-hoc improvement projects to enhance our processes and overall efficiency.

What you will be doing:

• Manage inventory levels nationally and prepare replenishment plans for assigned products in a timely manner, in line with the weekly operational cycle.
• Share short terms purchasing and/or manufacturing forecasts with relevant suppliers.
• Determine inventory strategy and planning parameters i.e.  target levels or storage facility.
• Report on supply planning KPIs (including but not limited to inventory position, stock outs, waste and capacity).
• Analyze supply chain performance metrics and identify areas for improvement.
• Collaborate with the Purchasing team on potential risks and propose corrective actions.
• Work closely with Strategic Sourcing as well as Demand Planning to support new product launches, and build the category strategy plan.
• Work closely with the Menu Planning and Inventory Team to effectively offboard product and reduce/eliminate excess and obsolete inventory.
• Maintain supply planning tools, ensure correctness of data flow.
• Assist with budget preparation; provide inputs on storage and transportation requirements across our network of DCs and third party warehouses.
• Work on ad-hoc improvement projects; other duties as assigned.

At a minimum, you have: 

• Bachelor’s Degree or equivalent in Business, Supply Chain or related fields.
• 2 - 5 years experience in Supply Chain, Operations Management, Inventory Management or related fields.
• Proficiency in software (Google Sheets, Excel) complemented with exceptional analytical and problem solving skills.
• Ability to handle multiple projects and assignments, while being able to prioritize, achieve objectives, and meet deadlines
• An ownership mindset and ability to work independently, with minimal supervision.
• Proven team player, with strong interpersonal and communication skills.

Would be an asset if you have

• ASCM certification (CSCP, CPIM)  or actively working towards.
• Database management experience (e.g. SQL, Python, Tableau).
• Foundational understanding of statistics, including but not limited to normal distributions and standard deviation.
• Prior experience in the food industry or respective category.

Recruitment process:

All internal candidates will be considered and assessed as per the normal TA process. If deemed a good potential fit for the role, they will be invited for an interview with a member of the Talent Acquisition team. Since our employees have been previously identified as a “values fit” here at HelloFresh, they will bypass certain steps in the process (i.e. DNA interview). However, to ensure a fair and consistent process, all internal applicants will be assessed using the same process as for external candidates (i.e. using the same tests & interview questions) Greenhouse Training - Interview Questions

If you are not moved forward in the role, a member of the TA team, your manager or the hiring manager will provide you with constructive feedback. 

Not right for the role but know someone who is? Don't forget our referral program!  

You are welcome at our table. 

We believe that sharing a meal brings people of all identities, backgrounds, and cultures together. We are committed to celebrating all dimensions of diversity in the workplace equally and ensuring that everyone feels a sense of inclusion and belonging. We also aim to extend this commitment to the partners we work with and the communities we serve. We are constantly listening, learning, and evolving to deliver on these principles. We are proud of our collaborative culture. Our diverse employee population enables us to connect with our customers and turn their feedback into meaningful action - from developing new recipes to constantly improving our process of getting dinner to our customers’ homes. Our culture attracts top talent with shared values and forms the foundation for a great place to work!

At HelloFresh, we embrace diversity and inclusion. We are an equal opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status or any other protected characteristic under applicable law, whether actual or perceived. As part of the Company’s commitment to equal employment opportunity, we provide reasonable accommodations, up to the point of undue hardship, to candidates at any stage, including to individuals with disabilities.

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.

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

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. 

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK:

Ripple Treasury (formerly GTreasury) is the leading innovator of integrated SaaS treasury and risk management solutions for the digital treasurer. Developed with the latest technology, Ripple Treasury empowers organizations on their path to strategic treasury. It enables total access to cash, liquidity, payments, and financial risk management. 

We’re hiring a Client Support Analyst to join our growing global team. You’ll be the front line for clients using our treasury management platform—the person they rely on to solve problems, answer questions, and keep things moving.

You’ll work closely with teams across the business to deliver fast, thoughtful solutions and make sure clients feel supported every step of the way. Along the way, you’ll get hands-on exposure to how leading global organizations manage treasury and financial risk.

WHAT YOU'LL DO:

• Be the front line for our clients and a trusted partner across the business—you’re who people count on when things matter most
• Own issues end-to-end: troubleshoot, communicate clearly, and drive fast, high-quality resolutions that build trust and long-term relationships
• Manage and prioritize incoming requests to hit SLAs without sacrificing quality (and know when to flex when things get busy)
• Get hands-on with the systems behind the scenes—dig into payment formats, extracts, connectivity (inbound/outbound), and Alliance Lite 2 to diagnose and resolve issues
• Work cross-functionally with Customer Success, Account Managers, Solutions, and Engineering to solve complex problems and keep clients moving forward
• Escalate when needed with clear, well-documented context that helps Development move quickly
• Spot patterns in client issues and turn them into actionable insights to improve our product, processes, and overall client experience
• Continuously look for ways to make support faster, smarter, and more scalable as we grow
• Provide reliable coverage beyond standard business hours—including weekends and holidays when needed—to ensure clients are consistently supported and critical issues are addressed without delay

WHAT YOU'LL BRING:

• You’re curious and solutions-driven—you like figuring things out and moving fast in environments where priorities shift and no two days look the same
• You break down complex technical issues into clear, actionable steps and communicate them in a way that actually makes sense to clients and teammates
• You’re organized and can juggle multiple priorities without dropping the ball (or letting things stall)
• You build trust quickly and know how to balance strong client advocacy with good judgment
• You sweat the details, take ownership, and care about getting things right
• You’ve worked in B2B technical support, ideally in a SaaS environment, and are comfortable navigating APIs, bank connectivity, and payment formats is a bonus
• You’re a strong troubleshooter who can read logs, dig into issues, and work through complex systems without getting lost
• You have working knowledge of SQL and reporting tools; experience with RSA, Symantec, or similar tools is a nice to have
• Familiarity with treasury, banking, or accounting concepts is a big plus
• You’re comfortable operating in ambiguity, especially when documentation is limited, and you don’t wait around to be told what to do
• You’re proactive, always learning, and constantly looking for ways to improve how things work

ABOUT THIS ROLE:

We are looking for an application troubleshooting analyst – an individual who can perform analysis of a given problem report and determine where the problem is, its cause, solution or recommend effective workaround where applicable.

Acting as an escalation point for client Subject Matter Experts, Product Support Analysts act as the primary point of contact for client technical teams. Through a combination of technical investigation and troubleshooting, as well as collaborating with teams across D2L, PSAs offer a world class support experience for D2L Administrators with varying degrees of technical expertise across the Enterprise, Higher Education, and K-12 segments.

Successful candidates must have strong analytical skills and be creative problem solvers.  They will be able to make accurate risk assessments and demonstrate above-average attention to details and competencies.  They are excellent communicators and are comfortable discussing technical issues with clients whose technical expertise may vary.  

HOW YOU'LL MAKE AN IMPACT:

• Utilize electronic communication by chat, phone, email, or assignment through case tracking system to interact with users facing technical issues, effectively identifying and documenting the problems they are encountering
• Conduct thorough research and implement appropriate solutions by referring to user guides, technical manuals, and other relevant documents
• Identify and correct improperly configured installations
• Replicate, diagnose, and resolve technical problems experienced by users, employing troubleshooting techniques to ensure prompt resolution
• Create, update, and resolve support cases within defined Service Level Objectives 
• Improve product/tool design and functionality through creation of Software Defect reports and Feature Enhancement reports 
• Create Support documentation, including FAQs and both internal and client-facing Knowledge-based Articles 
• Participate in collaborative troubleshooting sessions to identify root causes of complex issues 
• Participate in a shift rotation including weekdays, evenings, and weekends based on Eastern Time 
• Perform other duties as assigned by Manager 

WHAT YOU'LL BRING TO THE ROLE:

• Fluency in English and Canadian French is required

Desired Competencies:

• Ability to learn and adapt to new tools and products quickly  
• Strong ability to recognize patterns 
• Ability to work individually and in collaboration with colleagues 
• Ability to work well in a fast-paced environment 
• Demonstrable ability to multitask both independently and within a team 
• Ability to identifying trends and make suggestions for technical modifications to resolve existing and future problems
• Excellent research capabilities

Desired Skills: 

• Strong ability to write, interpret, and debug SQL queries on demand  
• Working knowledge of
  • Web services (SOAP and REST), XML, HTML, ASP, ASPX, C#, .NET, JAVA, JavaScript, and Microsoft tools and technologies 
  • Active Directory, Office 365 Suites, OAuth, LDAP, and SAML solutions. 
  • Web applications and how they work at a high level (web servers, database servers, client-to-server communication) 
  • Wireshark, Fiddler, and other browser based diagnostic and reporting tools  
• Communicate technical and complex information in verbal and written form 
• Strong customer service skills
• Keen attention to detail and organization skills 
• Excellent time management and prioritization skills 
• Strong analytical and decision-making skills 
• Excellent problem-solving and navigational skills

Desired Experience:

• Experience working with Microsoft SQL 
• Some experience providing customer service  
• Relevant work experience in a similar role
  • Experience working in a Helpdesk environment is considered an asset 
• LMS experience – user, administration, and/or support is considered an asset 
• Experience with Salesforce or any other ticketing system is an asset 

Education Recommendations:

• Bachelor's degree in Computer Science or equivalent technical experience 

This position is to fill an existing vacancy

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

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

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

The right candidate for this role will be:

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

Position Expectations:

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

Success Measures:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 4263333180

ABOUT VAYNERX

VaynerX is a family of companies building brands for the now. Founded by Chairman Gary Vaynerchuk in January 2017, the modern-day parent company is home to relevance-driving businesses including VaynerMedia, ChukMedia, Gallery Media Group, Eva Nosidam Productions, Tingley Lane Trading, and VaynerSpeakers.

ABOUT VAYNERMEDIA

VaynerMedia is a global integrated creative and media agency, built for today's consumers. As the Modern Agency of Record, it understands the nuances of today's attention landscape, empowering brands to win attention, drive relevance, and deliver business results. Founded in 2009, by Gary Vaynerchuk, the independently owned agency operates in 15 offices worldwide, including Amsterdam, Bangkok, Chicago, New Delhi, Kuala Lumpur, London, Los Angeles, Mexico City, Miami, New York, Tokyo, Toronto, Singapore, and Sydney. VaynerMedia is part of the VaynerX family of companies.

We are seeking a Senior Associate to join our Analytics team.  The Analytics team ensures the integrity and accuracy of Vayner’s client offerings, an essential piece of delivering Vayner’s core value proposition.  Using diverse data sets, we create a holistic picture of media performance across advertising platforms, and collaborate with client teams shape that data into a larger story.  We support the development of data-driven, actionable recommendations for our clients, with the speed, accuracy, and judgment required for success in today’s dynamic media environment.

Who Are You?

You are a critical thinker - upbeat, and hungry to learn about the dynamic and rapidly changing world of digital media.  You thrive on working with data, and have a demonstrated ability to structure and execute data analysis.  You are also are also business savvy, and can connect the core analytics to the larger business objective of our clients.  You have some experience with breaking data and analysis down into digestible pieces for general audiences, and are eager to develop this skill set further.

You take strong ownership of your work, and are able to manage a project from beginning to end.  You are unafraid to ask for help, and seek out the resources in the organization that can help you deliver your work on time and with precision.

What You’d Do:

• Structure and develop complex data analytics projects based on the needs of our clients business objectives; Can you easily write a query, develop complex formulas in a spreadsheet, and structure output into organized, digestible tables
• Organize data into coherent storylines;  you have experience building slides and short presentations, as well as building and maintaining data visualization tools, to communicate key insights from the data to our clients
• You can manage a project from beginning to end - you can define a core objective of an analytical project, formulate a plan and timeline with discrete steps, and can effectively communicate the status of a project to key internal stakeholders

What You’ve Got:

• 2-5 years of experience in digital analytics
• Working knowledge of basic analytic tools, with intermediate/advanced experience in Excel and SQL and one data visualization tool (Data Studio, Tableau, etc)
• Experience with Market Mix Models - at minimum, the candidate has a fundamental understanding of the inputs and outputs
• Experience in Media Buying: Direct buying platforms (Google Ads, FB Ads Manager, etc), Ad Servers, SEO, Demand Side Platforms
• You live for today’s digital & mobile consumer, driven,and hungry to succeed always looking to learn more.
• You want to have an impact and is passionate about the work you do.
• You are always looking to adopt new techniques and technologies that are relevant for clients’ media strategies.
• You thrive in a dynamic, fast paced, collaborative, high-energy environment where you’re continuously solving problems creatively and analytically.

About the Team

DoorDash's mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about – helping grow business and the communities that support those businesses.

About the Role

We’re looking for a business-savvy operator with a strong bias toward action to lead DoorDash Canada’s expansion and marketplace performance. As the national expansion lead, you’ll blend strategic thinking with operational excellence to identify growth opportunities, build strong internal partnerships, and improve customer and merchant experiences across the country.

This role requires a proactive self-starter who thrives at the intersection of data, process management, and execution. Whether analyzing performance metrics for a new launch or engaging with cross-functional partners, you’ll uncover ways to improve market performance. Expansion is core to DoorDash Canada's growth, and we need someone who can apply best practices and right-size them for local geographies to ensure we are building a lasting product for our customers.

We’re seeking someone who’s data-driven, a hands-on operator, relationship-oriented, and eager to make a tangible impact by positioning DoorDash as Canada's top platform.

You’re excited about this opportunity because you will…

• Own and execute the Canada expansion strategy: Build and execute a national roadmap focused on increasing our footprint while ensuring launch markets perform to expectations through rigorous marketplace management.
• Tactically run end-to-end execution: Lead the expansion lifecycle from initial strategy and buy-in through to execution, ensuring every launch is set up for long-term success.
• Right-size best practices: Apply proven operational frameworks while localizing strategies based on the specific marketplace dynamics of diverse Canadian cities.
• Lead cross-functional collaboration: Act as the connective tissue between the expansion team and DoorDash’s commercial units, surfacing insights and co-developing strategies that support national growth.
• Build strong internal relationships: Partner effectively with stakeholders across Dasher, Sales, Merchant, and Marketing teams to ensure a unified approach to marketplace health.
• Act like an Owner: Take full ownership of the success of our growth markets, with the autonomy to test, iterate, and scale what works across the country

We’re excited about you because you have…

• Are a builder and connector: You see opportunities where others see roadblocks. You’re energized by building systems from the ground up and forming lasting relationships along the way
• Have an operational mindset: You understand how to identify, scope, and execute high-impact initiatives, and you know how to align internal stakeholders to get things done.
• Thrive in ambiguity and autonomy: You’re comfortable setting your own direction, testing and learning as you go, and staying laser-focused on outcomes.
• Are operationally sharp and analytically driven: You turn insights into action and know how to measure and report on impact in a fast-moving environment.

Qualifications

• 4+ years of experience in business development, consulting, strategy, startups, or operations
• Demonstrated experience working cross-functionally with commercial teams
• Proven ability to identify growth opportunities and lead strategic initiatives from conception to execution
• Strong communication skills, with the ability to influence across various stakeholders and levels of the organization
• Proficient in Excel/Google Sheets and SQL; comfortable making decisions grounded in data
  
  

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

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

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

About the Team

The Canadian DoorDash Customer Growth team focuses on building differentiated consumer experiences and supporting our Restaurants, New Verticals, and Ads & Promotions businesses. Our team's goals are to build an increasingly personalized in-app experience, create memorable consumer moments by leveraging relevant use cases, and unlock sustainable growth for DoorDash Canada. Our team provides an exciting opportunity to collaborate to create impact and be part of a global company that is evolving how local economies grow. 

About the Role

The Strategy & Operations Associate role is for self-motivated, curious, and ownership-minded individuals who think through a customer-first lens, thrive on solving complex problems using data, collaborate across all levels of the organization, and execute their ideas efficiently.

The candidate will be a key contributor to the Consumer Experience team, primarily responsible for building the in-app merchandising experience for strategic bets across DoorDash Canada. The scope will include supporting key campaigns by creating the right experiences and strategies for customer growth, leveraging data to optimize existing and new initiatives. Success will be measured on the ability to support and hit OKRs as they relate to the above.

This role will be part of the Customer Growth team and report to the Strategy & Operations Manager. 

You’re excited about this opportunity because you will…

• Build - You are excited to work on something that hasn't been done before. Your job will include building experiences and launching plans from the ground up.
• Strategize - Develop DoorDash's path to excellence using first principles & empathy, identify trends that emerge and know when to double down and when to try something new.
• Experiment - Use data to run tests on everything from promotional campaigns to new in-app creative assets.
• Analyze - Assess the operational and financial impacts of your decisions and iterate given insights. Continuously seek new improvements that can be made to the experience leveraging performance data. 
• Collaborate - Work with a variety of teams including marketing, merchant, product, engineering, finance and analytics to execute on plans.

We’re excited about you because…

• You thrive both as a generalist and specialist who can build the overarching strategy and dive deep into specific issues & processes to drive continuous improvement
• You are a self-starter who is biased towards action and excels in a fast-paced environment and evolving business
• You are comfortable with ambiguity and bring structure, organization, and focus to your work and cross-functional teams, including product, marketing, finance, and legal
• You are a problem solver and can identify the core problem and determine hypotheses with proposed solutions
• You are comfortable using SQL to analyze data and create new data tables, are able to build dashboards to track key metrics, and can build high-level financial models 
• You have 2+ years of experience in strategy, operations, product, digital marketing, growth, investment banking, consulting or other related areas

Nice to Haves

• You have experience using Figma/ Adobe After Effects to develop creative assets
• You have experience using Claude Code

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

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

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

About the Team

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

About the Role

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

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

You're excited about this opportunity because you will…

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

We're excited about you because… 

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

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

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

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

About the Team

DoorDash is looking for a Strategy & Operations Senior Manager to help grow DoorDash’s International subscription business. We are seeking someone to join our team who can generate insights, conceptualize & test new products, and implement experiences that will reach millions of people around the world. DashPass is one of DoorDash’s fastest growing & highest priority businesses, meaning you’ll have the opportunity to make a big impact on the company at large.

About the Role

This role will own DashPass Canada business end-to-end, with the goal of building a best-in-class membership for the most engaged users on DoorDash. On a typical day, you might lead a new initiative, run and refine experiments to improve subscriber retention, dive into data to explain market performance at the lowest level of detail, author long-term strategy roadmaps and translate them into actionable plans to hit business OKRs, and make sure we never stop learning & executing. 

Our best Strategy & Operations Senior Managers have strong product vision, are equal parts analytical and creative, have exceptional interpersonal and relationship-building skills, and are willing to roll up their sleeves and do whatever it takes to make their business successful. They are also proven cross functional leaders who excel at influencing up and motivating a team towards a goal. 

You’re excited about this opportunity because you will…

• Strategize - Innovate and work on product strategy within the DashPass business
• Experiment – Use data-driven decision-making and sound business judgment to run tests on everything from new features to lifecycle programs to pricing 
• Analyze – Build models to evaluate the costs and benefits of various programs and experiments
• Influence – Partner with many teams to make your ideas come to life; Product, Marketing, Analytics, Finance, Design, etc. 
• Build – Implement your ideas into scalable products and provide a world-class operation

We’re excited about you because…

• You have 8+ years of experience in strategy, product, analytics, growth operations or related; subscription business or retention marketing experience is a plus
• You can solve analytical problems quickly, and are experienced in SQL and/or Excel
• You have a track record of leading cross-functional initiatives, hitting goals, and succeeding in a team environment
• You have experience defining scope and vision from ambiguous problems 
• You enjoy solving different types of problems, and like thinking outside of the box. You like to learn new skills, and can apply them to your work quickly and independently. 
• You are an owner, meaning you take responsibility for outcomes, have experience being in the driver’s seat, and want to shape the vision and direction of the company
• You have a bias towards action, are scrappy, and can pivot when you learn new information
• You can influence and motivate people at all levels across a variety of job functions

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

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

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

About the Team

DoorDash is looking for top talent to play a pivotal role in growing our Canadian Enterprise Restaurants business!  This is an exciting opportunity for people who are excited about joining a fast-paced, start-up company, and play a pivotal role in growing DoorDash’s Canadian business.  Join our never-ending pursuit to further power economies in Canada and across the globe today!

About the Role

We are looking for a top-performing Enterprise Account Executive to help us land new partnerships and expand existing ones from among the top restaurant brands in Canada.  The ideal candidate will have a proven track record of success in sales, experience with (or a curiosity for) the Restaurant industry, and a natural motor for developing business.  You will develop winning proposals that maximize performance for both DoorDash and our restaurant partners, by collaborating with our cross functional partners and working directly with our Engagement Managers to identify opportunities to deepen and/or optimize existing partnerships.

You're excited about this opportunity because you will…

• Collaborate to Win. To successfully close on new business opportunities, you will work with our cross functional partners, including Finance, Selection, Merchant S&O, Marketing, and Ads & Promos to develop winning proposals that maximize performance for both DoorDash and our restaurant partners.
• Be an Owner. You will own the entire sales cycle from end to end for assigned opportunities, from insight through close, and lead internal and external communications as you go such that both the merchant and DoorDash are set up for success as the partnership moves into execution.
• Lead with Data. Both internally and externally, our partners are committed to data-based decision making, and to influence those decisions, you will develop and communicate strong business cases to effectively demonstrate growth potential.
• Seek Out New Opportunities. You will work directly with our Engagement Managers to deepen and/or optimize existing partnerships by converting insight to opportunity, and prospect off platform brands to help build pipeline for net new partners.

We're excited about you because you are… 

• Sales minded. You have experience independently owning sales conversations, building pipeline, and upselling.  You are a negotiator, having the ability to influence the decision making process and communicate opportunities for incremental value.
• Relationship-focused. You can influence and motivate people at all levels across a variety of job functions. You can navigate a geographically distributed team and remotely liaise with central functions. You can see the world from both the DoorDash and Merchant POV, and understand how to find the common ground. 
• Agile. You can multi-task and manage through occasionally competing or shifting priorities, inherent to a fast-paced, start up culture.  Organization is key, and you like rolling up your sleeves and getting to the lowest level of detail as much as you love the big picture.
• Build with AI: You experiment with AI tools and ship practical workflows (automation, data enrichment, internal tools) - not just prompt writing - and can translate messy business problems into reliable, repeatable systems
• Technical.  You have knowledge of Excel (Can maintain complex spreadsheets). You navigate sales tools with ease (Salesforce, Outreach, Google Apps)
• Biased for Action. You have high standards and move both quickly and accurately; you hold a high bar from your contributions and those of the people you work with

Qualifications

• 4+ years of experience in management consulting, investment banking, client success, account management, or sales
• Proven success working in cross-functional teams (e.g., with product, marketing, and operations) to build creative solutions
• Excellent analytical thinker who can deliver actionable recommendations out of complex datasets (advanced excel skills required)
• Expert communication and interpersonal skills

Nice to Haves

• Bilingual (proficiency in English and French) 
• High growth or early-stage startup experience
• Experience with marketplaces, operations, logistics or unit economics
• Experience with SQL

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

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

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

About the Team

The Finance & Strategy team accelerates the growth of our business by identifying and implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability and defensibility of our business model. We're looking for someone who can get in the weeds of all three sides of our marketplace to drive cost savings, using critical thinking, analysis and AI tools.

We expect this role to be hybrid at our office in Toronto with some time in-office and some time remote. This role reports to a Manager in our Finance & Strategy organization based in NYC.

About the Role

We are looking for a Senior Associate who will work with partners across DoorDash to ensure we are making efficient, data-driven decisions. You will partner with teams across the business to drive data-driven decisions that improve order quality, reduce costs, and support the long-term health of the platform.

You’re excited about this opportunity because you will…

• Conduct weekly reporting of financial performance for DoorDash's quality cost areas (cancellations, credits and refunds redeliveries), forecast key financial metrics based on quantitative analysis of historical data, and partner with cross-functional teams to investigate variances and identify trends
• Support quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities.
• Deep-dive into complex operational questions and collaborate cross-functionally outside Finance (Operations, Product, Fraud) as well as within Finance (Accounting, Analytics, BI) to uncover the most optimal data-driven business decisions and investments
• Identify key opportunities & risks to the business, quantify and evaluate the impacts, propose a solution and investment case, and ensure efficient execution 
• Leverage and apply knowledge of SQL, finance, analytics, and technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions

We’re excited about you because…

• 4+ years of experience overall, preferably from Strategic Finance, Corporate Finance, Investment Banking, or Consulting at a high-growth technology startup or well-established company
• Advanced Excel & financial modeling skills. Able to build robust financial models used by teams throughout the company, and to size the impacts of opportunities and business cases for pursuing new initiatives
• Basic SQL proficiency (or willingness to learn). Able to manipulate large data sets, uncover hidden insights in our data, and meaningfully improve our understanding of our business through this process
• Comfortable with and/or willingness to learn use cases for AI within financial modeling and analysis

About the Team

The Finance & Strategy team accelerates the growth of our business by identifying and implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability and defensibility of our business model. We're looking for people who can use strategy to identify areas of opportunity, and collaborate to help carry projects from conception through execution.

About the Role

We are looking for a Senior Associate who will work with partners across DoorDash to ensure we are making efficient, data-driven decisions. You will partner with teams across the business to support financial decisions that involve one of our various products by evaluating effectiveness and developing creative ways to grow the product.

You’re excited about this opportunity because you will…

• Conduct weekly reporting of financial performance of DoorDash’s Merchant business, forecast key financial metrics based on quantitative analysis of historical data.
• Support quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities.
• Deep-dive into complex operational questions and collaborate cross-functionally outside Finance (Operations, Product, Sales) as well as within Finance (Accounting, Analytics, BI) to uncover the most optimal data-driven business decisions and investments
• Identify key opportunities & risks to the business, quantify and evaluate the impacts, propose a solution and investment case, and ensure efficient execution  
• Leverage and apply knowledge of SQL, finance, analytics, and technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions.

We’re excited about you because…

• 4+ years of experience overall, preferably from Strategic Finance, Corporate Finance, Investment Banking, or Consulting at a high-growth technology startup or well-established company
• Advanced Excel & financial modeling skills. Able to build robust financial models used by teams throughout the company, and to size the impacts of opportunities and business cases for pursuing new initiatives
• Basic SQL proficiency (or willingness to learn). Able to manipulate large data sets, uncover hidden insights in our data, and meaningfully improve our understanding of our business through this process

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

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

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

About the Team

The Finance & Strategy team accelerates the growth of our business by implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability, and defensibility of our business model. We're looking for people who can model the future, and collaborate to help carry projects from conception through execution.

We expect this role to be hybrid at our office in Toronto with some time in-office and some time remote. This role reports to a Senior Manager in our Finance & Strategy organization based in NYC.

About the Role

This role provides an impactful opportunity to drive finance business partnership and strategy at a hyper-growth company. We are looking for a Finance Manager who will help enable our Customer Support operations with efficient & cost-effective strategies to deliver a world-class customer experience on our platform. You will partner with teams across the business including Strategy & Operations, Analytics, Accounting, Product GMs, and Finance, covering our global customer support network spanning thousands of customer support agents and leveraging AI-enabled technology solutions. You will develop and own financial models and be a proactive presence to our business partners to evaluate opportunities to further improve the quality and cost of customer support on our platform. 

We are looking for a Manager who will help to build our team's strategy and ensure we are making efficient, data-driven decisions. You will become an expert in DoorDash business practices and develop a thorough understanding of how all the parts of the business fit together. A successful manager will be able to make recommendations that cater to our customers, merchants, and dashers to align with our overall financial and business goals.

You're excited about this opportunity because you will…

• Help us deliver a world-class customer experience and improve platform retention
• Analyze operational and financial data to identify cost drivers, efficiency opportunities, and emerging risks within the global support network
• Build and own financial models to inform strategic decisions, resource allocation, and investment prioritization for customer support operations
• Work with cross-functional partners to develop new processes and policies

We’re excited about you because…

• 6+ years of strategic finance, corporate finance, investment banking, or consulting experience in a high-growth technology sector
• Ability to influence cross functional partners at all levels
• Experience influencing financials for various teams and initiatives
• Advanced Excel and financial modeling skills. Able to build robust financial models used by F&S teams throughout the company
• Basic SQL proficiency (or strong willingness to learn)

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

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

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

About the role

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

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

What You Will Do

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

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

Minimum qualifications

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

Salary Range

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

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

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

This job posting is for an existing vacancy.

About the role

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

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

What You Will Do

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

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

Minimum qualifications

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

Salary Range

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

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

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

This job posting is for an existing vacancy.

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

About OpenTable: 

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

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

The Opportunity 

The Diner Core Reservation team builds and operates the systems that power the reservation lifecycle for the core diner experience – from slot lock and booking through change, cancel, confirm, and downstream event publication. These systems sit at the center of a critical set of diner, restaurant and partner flows, serving OpenTable web and mobile clients as well as partner integrations, and they operate multi-region with strict expectations around correctness, latency, and reliability.

We’re looking for a Senior Engineer who can design and deliver changes in a complex reservation domain, raise the bar on software quality, and help the team move quickly without compromising reliability. The team works across a mix of C#/.NET and Java services and supporting systems, and the role requires comfort navigating both ecosystems. Other technologies you’ll work with include Redis, relational databases such as Postgres or SQL Server, in-memory and distributed caches, RESTful APIs, and Kafka-based event-driven architectures (EDA).

What You'll Do

You’ll be a hands-on backend engineer: writing code, contributing to design docs, reviewing changes thoughtfully, and owning work from design through rollout, observability, and iteration.

Code craft and Architecture

• Design, implement, and evolve backend services and APIs that support various reservation related workflows
• Build a strong understanding of how reservation flows interact with adjacent systems such as partner APIs, restaurant systems, payment services, and event publishers.
• Contribute to resilient service behavior in distributed systems, including thoughtful handling of retries, rollback, failure modes, and cross-region routing.
• Write maintainable, well-tested code with a strong emphasis on integration testing and production readiness for business-critical reservation flows.
• Use AI tooling thoughtfully to accelerate implementation, design exploration, testing, and incident analysis while maintaining a high quality bar.

Drive execution and outcomes

• Break down large, ambiguous reservation initiatives into clear technical workstreams that can be delivered incrementally.
• Partner effectively with Product, TPM, and neighboring engineering teams to resolve dependencies and move projects forward.
• Take ownership of production issues, triage them calmly, communicate clearly, and drive fixes through to completion.
• Provide clear, actionable updates on the work you own and help keep execution grounded in measurable outcomes.

Team Contribution 

• Participate meaningfully in code reviews and design reviews, giving feedback that improves quality, simplicity, readability, testability and long-term maintainability.
• Help improve engineering standards around testing, documentation, rollout safety, and operational excellence.
• Share knowledge across the team and contribute to a healthy engineering culture grounded in thoughtful debate, collaboration, and continuous improvement.
• Participate in communities of practice, ensuring our systems align with platform-wide standards while feeding local needs back into those standards.

What We're Looking For

• Strong experience designing, implementing, and operating backend services in C#/.NET and/or Java, with the ability to quickly ramp up in either ecosystem. 
• Hands-on experience with Redis and other cache technologies, including key design, eviction strategies, cache invalidation patterns, and multi-layer caching topologies.
• Solid understanding of event-driven architectures and Kafka (or similar systems)
• Solid experience with database systems (SQL/NoSQL), including schema design, indexing strategies, query optimization, and handling high-volume read/write workloads.
• Good grasp of distributed systems fundamentals and observability and performance tuning in production 
• Strong testing instincts, including unit and integration testing for critical flows.
• Comfortable using AI-assisted development tools (for example, to accelerate implementation, test coverage, code reviews, or incident analysis) in a safe and responsible way.

Nice to Have

• Experience in reservation, booking, marketplace, or other transaction-heavy platforms.
• Familiarity with payment-related reservation flows such as credit card holds, deposits, or prepaid experiences.
• Experience working with event-driven systems, regionalized services, or highly-integrated legacy-to-modernized architectures.
• Demonstrated ownership: you proactively identify problems, unblock yourself and others, and drive work to completion.
• Ability to take ambiguous requirements and translate them into clear, well-reasoned technical solutions.
• Comfortable collaborating with cross-functional stakeholders and balancing technical constraints, user experience, and business impact.
• Clear communicator who can explain technical findings and trade-offs effectively to engineers and non-engineers.

Benefits and Perks

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

The expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $140,000 - $155,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.

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

Work Environment & Flexibility

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

Inclusion

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

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

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

About OpenTable:

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

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

The Role

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

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

Responsibilities

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

Skills

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

Benefits and Perks

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

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

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

Work Environment & Flexibility

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

Inclusion

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

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

#LI-LR1

We are looking for a Sales Operations Specialist to join our Sales Strategy & Operations Team. This individual will be primarily responsible for supporting our Sales teams. This role focuses on optimizing sales processes, providing strategic insights and leveraging data and automation to accelerate growth. To be successful in this role, you will have experience working cross functionally, possess excellent organizational and communication skills, and hold a curiosity for problem solving, as well as have an ability to use data to drive insights, strategic direction and decisions.

What You’ll Do

• Support day-to-day management of tools across the sales tech stack (e.g., CRM, sequencing platforms, data providers, analytics platforms), build workflows and automations and be first troubleshoot issues
• Optimize our lead generation, routing, and conversion systems
• Analyze funnel performance, provide data-driven strategic insights to sales leadership and implement prioritized strategies
• Analyze sales channel/campaign performance and identify areas for improvement (eg. A/B messaging, targeting, and sequences)
• Create dashboards and reporting systems to track KPIs, such as acquisition, conversion, activation, and revenue using Salesforce, G-sheets or Snowflake
• Collaborate with sales reps and managers to gather feedback and improve workflows
• Research and leverage new tools, trends, and AI solutions to enhance sales team performance

What You’ll Bring

• Bachelor’s degree in Business Administration, Data Analysis, Data Science Engineering, or a related field (or equivalent experience)
• 1-3 years of experience in a technical or operational role within a SaaS organization supporting sales, marketing, or growth (e.g., sales ops, solutions engineering, growth engineering)
• Familiarity with CRMs (Salesforce is a bonus) with experience pulling reports, building dashboards and looking at metrics
• A proactive, ownership mindset: the ability to identify problems and drive solutions without waiting for instruction
• Strong business acumen and analytical skills with the ability to understand the “why” and not just the “what”. Comfort working with data (Excel/G-sheets)
• Ability to lead data analysis for sales leaders & provide clear recommendations. 
• Strong attention to detail and organizational skills

Nice to haves:

• Experience with SQL, Python, APIs, data pipelines,system integrations, ChatGPT, Gemini and/or Claude
• Experience managing 3rd party vendor relationships and tools 
• Experience building AI tools or bots

S'more about the team

We’re seeking a detail-oriented and collaborative Product Operations Specialist to help drive the success of key product initiatives across our HelloFresh and Chefs Plate brands. In this role, you’ll play a vital part in ensuring our customer-facing content—both print and digital—is accurate, engaging, and aligned with brand standards. Reporting to the Manager, Product Operations, you’ll orchestrate key digital assets such as photography and menu content, partnering closely with our offshore team to ensure seamless and timely execution of weekly responsibilities.

Beyond day-to-day execution, you’ll also contribute to backlog projects that support the evolution and innovation of our brands, helping to identify and implement process improvements that drive efficiency and scalability. By collaborating across internal and global teams, your work will directly enhance the customer experience and support HelloFresh’s mission to deliver high-quality meals.

Lettuce share what this role will be responsible for

• Content & Quality Management: Oversee weekly recipe and menu content workflows, ensuring high-quality, accurate, and engaging customer-facing materials (print & digital).
• Process Optimization & Tech Support: Drive workflow efficiency by identifying and addressing operational bottlenecks in collaboration with cross-functional teams. Leverage internal tools, resolve system bugs, and support critical technical issues.
• Internal Tool Expert: Serve as a key expert in internal tools and content systems, using this expertise to support teams, optimize processes, and champion continuous improvement initiatives.
• Project & Change Management: Lead or contribute to key Product projects, including new product development (NPD), experimentation, and process rollouts. Apply change management strategies to drive efficiency and scalability.
• Cross-Functional & Global Collaboration: Act as the main point of contact for weekly operations, partnering with offshore teams and internal stakeholders. Oversee the Canadian photo briefing process to maintain consistency and content accuracy.
• Data Management & Insights: Manage recipe databases and content systems, execute data clean-up tasks, and analyze datasets to uncover insights that guide product and process decisions.
• All other duties, as assigned

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

• 2–3 years of experience in a fast-paced, dynamic environment (bonus points for experience or education in food, content editing, or related fields).
• Strong attention to detail—you notice the small things that others might miss.
• Excellent communication and collaboration skills; able to clearly escalate issues, work cross-functionally, and liaise with stakeholders across levels, including leadership.
• Advanced proficiency in Google Sheets, including complex formulas and data manipulation; experience building or improving internal tools and dashboards.
• Strong organizational and time management skills, with the ability to juggle multiple priorities and weekly deadlines.
• Proactive and solutions-oriented—you take ownership, anticipate challenges, and continuously look for ways to improve processes.
• Comfortable working independently, with strong critical thinking and problem-solving skills.
• Experience with SQL or a strong interest in learning is considered a valuable asset.

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!

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

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. 

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.

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.

S'more about the team

The Senior Product Operations Specialist will own the operational lifecycle of product development, launch, and maintenance for HelloFresh and Chefs Plate. Reporting to the Manager, Product Operations, you will bridge the gap between strategy and execution, ensuring our Product teams operate at peak efficiency. You will be the primary driver for process scalability, enabling the organization to innovate at speed while maintaining high standards for customer-facing digital and print content.

Lettuce share what this role will be responsible for

• Cross-Functional Leadership: Proactively manage and deepen relationships with key stakeholders (HelloConnect, FSQA, etc.) to streamline the uploading, activating, and auditing of weekly recipe and menu content
• Program Management: Lead the implementation of internal tech or digital UI enhancements that impact the Canadian market by managing timelines and deliverables with internal teams and external providers.
• Operational Excellence: Act as the Canadian Superuser and subject matter expert for internal recipe/menu content systems, providing technical guidance and leading local operational updates.
• Process Innovation: Take initiative to identify, design, and implement new operational processes and project management tools that improve the scalability and effectiveness of net-new product launches.
• Data & UX Insights: Lead UX testing initiatives from setup to analysis; leverage data to measure the impact of the digital customer experience and provide actionable recommendations.
• Mentorship: Support and coach team members, fostering a culture of continuous learning and product operations domain expertise.
• All other duties, as assigned 

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

• Experience: 3–5+ years of experience in product operations, program management, or a similar fast-paced operational role.
• Analytical Rigor: Advanced proficiency in Google Sheets and SQL is a must. You should be comfortable manipulating large datasets to drive operational decisions.
• Communication: Exceptional written and verbal communication skills, with a proven ability to manage complex cross-functional relationships and influence stakeholders.
• Proactivity & Initiative: A self-starter mindset with the ability to work independently, troubleshoot complex issues, and proactively seek out process improvements.
• Precision: An unwavering eye for detail and the organizational skills required to manage multiple high-stakes deadlines simultaneously.
• Nice-to-have: Experience using Photoshop tools and/or AI-gen image

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!

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

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. 

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.

Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today.

S'more about the team

As a Staff Analytics Engineer, you will be the technical architect and strategic lead for data assets driving HelloFresh’s growth globally. Data-driven decision making is at the core of our company culture and your extensive experience and knowledge across technical and business related topics will enable us to make better and faster decisions. You will work with teams across the Growth Alliance - for example Conversions, Payments, Pricing/Benefits, Communications and Adtech - by proactively identifying opportunities and building data infrastructure for insights and AI usage. You will be an influential member of the Growth Analytics team, mentoring other team members and leading the adoption of new technologies and ways of working.

Lettuce share what this role will be responsible for

• Lead Data Quality & Strategic Optimization: Act as the final authority on SQL/Python reviews and own strategic systems. You will resolve systemic deficiencies, manage non-functional requirements like global scalability, and make high-level design trade-offs in ambiguous, high-risk situations.
• Architect Robust Data Models & AI Foundations: Drive the design of scalable models and create AI-ready data foundations. You will transform data through medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and "truth sets" that intuitively reflect complex business logic.
• Drive Pipeline Stewardship & Best Practices: Take ultimate accountability for pipeline reliability and define the tooling roadmap. You will lead high-impact migrations, set monitoring strategies for latency and throughput, and evangelize the adoption of new technologies like DBT and observability tools.
• Enable Cross-Functional Strategy & Mentor the Team: Partner with leadership to translate business goals into technical roadmaps while you mentor and scale the team. You will develop self-service tools for analysts and initiate organizational changes to improve delivery speed and data accuracy.
  
  
  

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

• Leadership in Analytics Engineering & Change Agency: 7+ years of experience with a proven track record of owning technical strategy across multiple business domains. You don’t just manage the status quo; you actively simplify codebases, resolve root-cause deficiencies, and lead teams through complex migrations.
• Mastery of the Modern Data Stack & AI Proficiency: Expert-level SQL and Python skills with deep experience refactoring complex pipelines (e.g., Snowflake, dbt). You possess a strong understanding of the data lifecycle for AI and are familiar with LLM-integrated data workflows.
• Strategic Problem Solving & Exceptional Communication: Ability to solve high-complexity technical problems and anticipate bottlenecks before they hit the business. You can effectively advise Senior Leadership, bridging the gap between deep technical architecture and business value.
• Operational Excellence Mindset & Pragmatism: A focus on "metrics that matter" (P0 pipelines, MTTR, documentation) combined with the business acumen to know when to drive standards and when to adapt for optimal outcomes.

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.

S'more about the team

We are hiring a Machine Learning Engineer in our Customer Value Forecasting team inside the Customer Value Optimization department to help build innovative Machine Learning products which drive value forecasting at HelloFresh. As a Machine Learning Engineer, you will build machine learning products that directly impact business outcomes, working on cutting-edge forecasting problems with the assistance of AI. Additionally, you will master the design and construction of scalable, robust, and efficient machine learning systems capable of handling massive datasets and intricate models.

Lettuce share what this role will be responsible for

• Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
• Collaborate with product managers and business stakeholders to understand their needs and translate them into machine learning products and analysis.
• Create proof-of-concept Machine Learning models and quickly iterate on them to build them into production-ready products under the guidance of senior team members.
• Evaluate the performance of machine learning models and make recommendations for improvement.
• Stay up-to-date on the latest advancements in machine learning and artificial intelligence. Propose and implement process improvements or tools to enhance the machine learning development lifecycle and team efficiency.
• All other duties, as assigned

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

• A passion for solving complex business problems with machine learning within a fast-paced business environment. Experience with Machine learning for marketing is a plus.
• Strong programming skills in Python and SQL. Previous experience with PySpark is a plus.
• Hands-on experience with designing and maintaining large scale Machine Learning systems for production use cases including model monitoring and drift detection.
• Pick up new technologies and modeling methodologies quickly while solving actual business problems.
• Interest in working with modern data science tooling such as cloud development, version control, CI/CD, model registries and a feature store.
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.

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.

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.

Who We Are

About Stripe

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

About the team

The Financial Crimes Risk Strategy team owns Stripe's first-line AML and sanctions programs globally. We own the end-to-end lifecycle of financial crime controls — setting the global standards that govern how risk is managed across our programs; designing and driving the development of controls, infrastructure, and tooling with Engineering, Product, and Data Science; and maintaining their effectiveness as Stripe's products and the regulatory landscape evolve. We build fast, with data, and with AI integrated into how financial crime risk is detected, managed, and monitored across everything Stripe builds.

What You’ll Do

As a Risk Strategist on the Financial Crimes Risk Strategy team, you will own Stripe's global screening programs — spanning sanctions, PEP, and negative news — setting the standards that govern how screening risk is managed, designing and driving the controls that operationalize those standards, and ensuring they remain effective as Stripe's products and the regulatory landscape evolve. Being effective in this role means going deep on both the domain and the data — we don't separate the two.

You will partner closely with Product, Engineering, Data Science, Compliance, Legal, other Risk Strategy functions, and Operations to ensure screening considerations are embedded in every product and market decision. Beyond protecting against risk, you will drive innovation in how Stripe approaches screening — staying ahead of regulatory change and pushing the boundaries of what effective, scalable financial crime risk management looks like at a global payments company.

Responsibilities

• Lead Stripe's global sanctions and AML screening strategy — setting the standards that drive screening control design and infrastructure development, and translating requirements across OFAC, EU, UN, OFSI, and other applicable regimes, PEP screening, and negative news screening into actionable first-line programs and controls
• Own the design and ongoing improvement of financial crime controls, including sanctions screening, PEP screening, negative news screening, and digital asset-related safeguards; continuously improve detection coverage and control performance as Stripe's products and the threat landscape evolve
• Embed screening risk requirements into product and infrastructure roadmaps — ensuring financial crime considerations drive product launches, market expansions, and platform decisions across Product, Engineering, Data Science, Compliance, Legal, and Operations
• Drive screening infrastructure and tooling forward by owning requirements, leading execution, and maintaining effectiveness metrics for screening systems and controls; build with observability by design — ensuring KPIs, KRIs, and monitoring thresholds are defined from inception
• Continuously assess and improve screening controls and systems — identifying gaps, recommending enhancements that strengthen detection effectiveness and anticipate regulatory or ecosystem changes, and leading delivery of those enhancements end-to-end
• Champion a technology-forward approach to financial crime risk management — leveraging AI tools, self-serve data analytics, and model governance best practices to improve how risk is detected, monitored, and managed at Stripe
• Stay informed on industry practices and regulatory developments; represent Stripe's sanctions and AML programs to regulators, bank and network partners, and external auditors

Who You Are

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

Minimum Requirements

• 7+ years of professional experience in Financial Services, Payments, or Fintech, with at least 5 years in a related role (risk, compliance, or product enablement)
• Deep subject matter expertise in global sanctions compliance, including hands-on experience with OFAC, EU sanctions regimes, UN Security Council designations, OFSI, and other major global frameworks
• Demonstrated strong understanding of screening program design and control execution
• Strong AML screening expertise — proven ability to design, implement, and operationalize PEP screening and negative news screening programs in complex, multi-jurisdiction environments
• Proven ability to design, implement, and operationalize financial crime standards and controls in complex, global organizations
• Familiarity with model governance concepts — including model documentation, performance monitoring, and validation — and experience leading or contributing to model governance activities
• Technology-forward mindset — experience leveraging AI tools, automation, and advanced analytics in a risk or compliance context; aligned with Stripe's commitment to integrating AI across all functions
• Demonstrated experience developing risk solutions and working closely with cross-functional teams to translate them into enforcement

Preferred Qualifications

• Experience leading transformative AML, Sanctions, or Transaction Monitoring initiatives, including global screening program design or transformations (e.g., vendor selection, watchlist management, false positive tuning)
• Proficiency with SQL and ability to independently mine and analyze data to develop risk insights and inform strategy
• Experience with crypto or digital asset products and their associated financial crime risk and regulatory considerations
• Advanced degree or professional certifications (e.g., CAMS, CGSS, CFCS) considered a plus

About this role:

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights.

The team focuses on the following areas and capabilities:

• Data warehousing, including cost-efficient storage and compute
• ETL (extract, transform, load) and ELT (extract, load, transform) pipelines
• Evolution of foundational datasets with company-wide utilization
• BI (business intelligence) tooling and integrations
• Productivity acceleration tooling for analytics use-cases, including AI/LLM powered tools
• Automation of analytics functions
• Monitoring, alerting, and cost tracking for workloads
• Data security, privacy, and governance

The team also owns relationships with select infrastructure vendors.

We’re looking for: An engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

What you’ll do:

• Plan and execute on technology projects that scale with our growth; contribute to our technology foundations with a focus on data integrity, security, performance, scale, reliability, operational excellence.
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
• Provide technical expertise on difficult open-ended problems.

Qualifications:

• Strong Python and SQL skills
• Experience developing and operating ETL/ELT, storage, compute, workflow systems
• Exposure to building and operating reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
• Understanding of data warehousing basics, especially Snowflake, is highly valuable
• Understanding of performance, capacity, cost trade-offs in data processing systems. 
• Experience diagnosing, mitigating, and addressing data system production issues at scale
• Strong communication skills
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience

Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

Salary range:

Canada: the pay range for this role is $129,500 - $178,000 per year. 

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

Secure Every Identity, from AI to Human

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

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

Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

What you’ll do:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

P-1398_3407428

#LI-Hybrid

#LI-EZ1

The Product

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

The Team

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

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

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

What you’ll be doing 

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

What you’ll bring to the role

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

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

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

#LI-Hybrid

P24570

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the team + role

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

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has a direct impact on customer security, company risk posture, and regulatory compliance.

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.

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

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

What you’ll do

• Design and deploy fraud detection models to protect Robinhood users and assets in real time
• Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
• Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
• Partner with engineering and product teams to implement safeguards and user-facing features
• Guide experimentation strategy and contribute to long-term fraud prevention roadmap

What you bring

• 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
• Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
• Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
• Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
• A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments

What we offer

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

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Who we are

About Stripe

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

About the team

The Pricing Strategy team is part of Stripe's Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of Stripe's most visible and commercially impactful decisions. We're looking for someone who can blend financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve.

What you’ll do

• Be deeply analytical. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers
• Be a storyteller. You can translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action 
• Be a pragmatic problem-solver. You are comfortable making and defending well-reasoned judgments even when data is imperfect or incomplete, and know how to ask the right questions and find creative analytical approaches to move forward with confidence
• Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built

Responsibilities

• Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about Stripe's business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy
• Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments may be warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business
• Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring analytical questions that sit at the core of Stripe's pricing strategy
• Improve our data and systems infrastructure by identifying gaps in how we capture and evaluate pricing outcomes, and partnering cross-functionally with Engineering, Product, and Data teams to design and implement robust, scalable solutions

Who you are

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

Minimum requirements

• Bachelor’s degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration)
• 5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes
• Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships
• Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams)
• Excellent verbal and written communication skills 
• Ability to toggle between high-level strategy and granular system details

Preferred qualifications

• Master’s degree in a STEM major
• Domain knowledge in pricing and/or GTM
• Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting)
• Familiarity with Python, R, or similar languages for advanced data manipulation

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 Business is transforming how organizations move their people. From healthcare systems transporting patients to appointments, to educational institutions providing safe campus mobility, to transit agencies bridging first-and-last-mile gaps - we're solving critical transportation challenges for businesses and communities nationwide. We are at an inflection point for our Self Serve business and we need a Demand Generation Manager to help us scale.

We are looking for a Demand Generation Manager to develop the strategy and architect our program - from awareness to nurture, activation, and upsell. You'll partner with an agency to manage a substantial paid media budget, work across diverse verticals (healthcare, education, transit), and work closely with Product and Sales to optimize every touchpoint in the customer journey to drive leads and bookings.

Responsibilities:

• Define, own, and execute our end-to-end demand generation strategy across the customer lifecycle from demand generation through nurture, activation, and upsell
• Partner with an agency to scale proven channels while building new abilities to significantly increase lead volume, improve activation rates, and optimize returns
• Synthesize marketing insights to inform full-funnel creative and messaging that resonates across the customer journey for customers in segments like healthcare, business travel, and employee commute
• Partner with Sales to translate insights into high impact, scalable B2B strategies
• Collaborate with Product to reduce friction and optimize the customer experience from lead capture to first ride
• Build comprehensive nurture programs, including email marketing and segmentation strategies, to substantially increase lead quality and conversion
• Implement lead scoring and qualification frameworks to improve funnel efficiency and sales handoffs
• Partner with internal teams to implement marketing technology that enables personalized, automated campaigns at scale
• Track and optimize key funnel metrics such as MQLs, SQLs, conversion rates, and pipeline contribution

Experience:

• 5+ years of experience in demand generation, performance marketing, or similar area
• 2+ years of experience in B2B marketing with demonstrated success driving measurable outcomes
• Proven experience managing paid media budgets and optimizing return on investment
• Experience with marketing automation platforms (e.g. Marketo, HubSpot, Pardot) and CRM systems (e.g. Salesforce)
• Strong analytical capabilities with data-driven marketing experience and understanding of B2B funnel metrics
• Track record of A/B testing and campaign optimization
• Ability to partner cross-functionally with creative and data teams
• Exceptional written communication skills and strong cross-functional collaboration abilities
• Entrepreneurial mindset with bias toward action in fast-paced environments
• Excel proficiency required, SQL a plus
• Preferred
  • Experience with SaaS products and marketing to businesses of all sizes
  • Experience managing paid media and creative agencies
  • Hands-on experience with ABM, lifecycle marketing, and industry events

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 $115,000 - CAD $143,750, 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.

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Overview

Qsight is a high-growth division of Guidepoint focused on building data intelligence solutions for the healthcare sector. Qsight leverages proprietary datasets and rigorous analysis of alternative data sources to generate actionable insights for top-tier institutional investors, medical device manufacturers, and pharmaceutical companies. The Qsight team develops market intelligence products designed to be highly relevant, accurate, and scalable – delivering superior insights to a diverse, global client base.

We are seeking an experienced, motivated Operations Engineer to join our growing team. This is a multiple-hats role focused on SaaS/platform operations and tier-2 support for client-facing systems. You will own the administration and reliability of key tools, troubleshoot and resolve escalations with clear documentation, and build lightweight automation and reporting to reduce manual work as we scale.

You will partner closely with Customer Success, Product, and Engineering to proactively monitor, support, and improve critical systems. Through practical, creative problem-solving, you will strengthen reliability, accelerate time to resolution, and increase operational visibility. Day to day, you will triage and resolve client technical questions, manage vendor license administration and renewals, and produce reporting that informs operational decisions.

This role is hybrid in Toronto City(with the option to be fully remote); candidates must be able to work US/CAN Eastern hours from 9 am to 6 pm.

What You’ll Do:

• Systems Administration
  • Manage operations for critical SaaS platforms (Tableau, Datadog, Freshdesk)
  • Own configuration, workflows, and automations
  • Manage vendor licensing (renewals, true-ups) and optimize seat utilization
  • Administer users, groups, permissions, routing rules, and integrations
  • Partner with Engineering to design, implement, and maintain integrations
• Observability & Incident Response
  • Actively monitor the health of critical systems
  • Coordinate with vendor support and internal IT to drive issues to resolution
  • Serve as the point of contact for vendors and internal stakeholders
• Tier 2 Product Support
  • Triage escalations from Customer Success
  • Reproduce and isolate issues
  • Collect logs, user context, and reproduction steps (e.g., Datadog, CloudWatch, Tableau) to accelerate Engineering/vendor resolution
  • Create and maintain runbooks, FAQs, and internal documentation
• Customer Success Support
  • Build custom client activity dashboards and reports
  • Help define alert thresholds and escalation paths for incidents
  • Support client entitlement renewals and additions
• Occasional Desktop Support (5%)
  • Assist business users with light-touch desktop and software support when needed (installing software, troubleshooting basic issues)
  • Coordinate with central IT for larger incidents or hardware issues
• Ways of Working
• Collaborate closely with Customer Success, Product, Engineering, and central IT teams
• Proactively identify recurring issues and drive them to permanent fixes (not just workarounds)
• Some extended availability until 8 pm ET as part of an on-call rotation/coverage plan

Required Technical Qualifications: 

• Bachelor’s degree or equivalent experience
• 1–3 years of hands-on operational experience, supporting and administering critical business SaaS tools
• Experience with creating and executing runbooks
• Experience with dashboards, metrics, reports, alerts
• Fluency with Excel formulas, pivot tables, data connections
• Strong documentation habits (runbooks, checklists, user guides)
• Proficiency with Python and SQL
• Excellent written and verbal communication skills
• Demonstrated ability to work independently and in a team atmosphere with minimal supervision
• Strong focus on quality, attention to detail, and addressing client needs

Preferred Qualifications:

• Experience with incident management
• Technical project management skills

What We Offer:

The annual base salary range for this position is $95,000 to $135,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• 15 PTO days, 10 legal holidays, and sick days
• Comprehensive medical, dental, and vision plans
• Will match up to 10% of employee contribution for 401(k), life insurance, paid time-off and parental leave plans
• Commuter benefits and a corporate gym rate
• Development opportunities through the LinkedIn Learning platform
• Free snacks and beverages in the office
• Friday happy hour and “Summer Fridays”
• Year-round corporate athletic league
• Casual work environment, team building, and other social events

About Guidepoint:

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

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

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

#LI-AP1

#LI-HYBRID

Overview:

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

This position is hybrid in Toronto.

What You’ll Do:

• Service Decomposition — Breaking apart a monolithic enterprise application into well-bounded, independently deployable services. You'll define service boundaries, design APIs and contracts between them, and plan a phased migration strategy that keeps the business running while the architecture evolves.
• Data Migration — Leading the migration from a large, centralized multi-tenant database to smaller, domain-specific databases. This includes designing the target schemas, building migration tooling, handling data integrity and validation, and coordinating cutover with minimal downtime.
• Developer Experience & Standards — Establishing patterns, shared libraries, and CI/CD practices that make it easy for the rest of the engineering team to build on the new architecture with confidence.

What You Have

• 8+ years of experience in backend or full-stack engineering, with a demonstrated history of owning and delivering complex technical initiatives in enterprise environments.
• Architect Mindset with IC Ownership — You operate independently, make sound technical decisions, and drive projects from design through delivery without needing to be managed.
• Modernization Expertise — You have a track record of migrating or re-architecting legacy codebases into modern, maintainable systems without disrupting business continuity.
• Builder of New Services — You can design, build, and ship greenfield services end-to-end with production-grade quality.
• Fast-Paced Execution — You thrive in environments that value speed and iteration. You unblock yourself and move quickly without sacrificing quality.
• AI-Augmented Engineering — You actively leverage AI-assisted development tools (Cursor, etc.) to accelerate your workflow, and you know how to validate and monitor AI-generated output to ensure correctness and reliability.
• Backend & APIs — Strong Python proficiency with hands-on FastAPI experience.
• Ability to design and build performance, well-structured REST and GraphQL APIs.
• Databases — Deep experience with relational databases — PostgreSQL and/or SQL Server. Proficient in schema design, query optimization, and migrations.
• Messaging & Events — Working knowledge of asynchronous messaging patterns using RabbitMQ, Azure Service Bus, and/or Azure Event Hub.
• Infrastructure & CI/CD — Experience with containerized deployments on Kubernetes (K8s) and building/maintaining CI/CD pipelines (Azure DevOps, or similar).
• Frontend — Comfortable contributing to frontend codebases in React and TypeScript. You don't need to be a frontend specialist, but you can ship UI changes when needed.
• Observability — Hands-on experience with Datadog or equivalent platforms for monitoring, logging, distributed tracing, and alerting in production systems.

What We Offer:  

The annual base salary range for this position is $160,000 - $180,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

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

About Guidepoint: 

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

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

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

#LI-SP1

#LI-HYBRID

Title: Senior Software Engineer

Location: Sweden, Stockholm or Canada; Toronto (hybrid work model)

Experience: Senior

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

Keyfactor is looking for a highly capable and motivated Senior (Java) Software Engineer to join one of our agile teams. Your primary focus, together with the team is to support the continued growth of our flagship PKI Product offering. You have demonstrable experience in developing professional Java-based systems and have probably had a core engineering role in a product business. While an experience or an interest in this PKI, is meriting, it is more important for us to find someone who is passionate and capable, with the right mindset to be a part of helping us scale and become increasingly self-organizing. 

Job Responsibilities

• Design, implement, and maintain software features and functionality. 
• Conduct code reviews, pull requests and ensure adherence to coding standards. 
• Work closely with other engineers and cross-functional teams to solve complex problems. 
• Contribute to the improvement of software development processes and practices. 
• Identify and resolve technical issues and performance bottlenecks. 
• Provide guidance and support to less experienced engineers. 
• Work closely with the Quality Assurance teams and participate in QA efforts when needed. 
• Participate in internal and external product support when needed. 
• Contribute to technical documentation and project reports. 
• Engage in Agile ceremonies and contribute to iterative development processes. 

Minimum Qualification, Education, and Skills

Capabilities

• Excellent knowledge of Java software development and architecture.
• Strong experience of Java Enterprise (Jakarta EE).
• Deep knowledge of databases/SQL.
• Good knowledge of Linux.
• Knowledge of web application server and container deployment.
• Good knowledge of RESTful API.
• Extensive knowledge of software development in Agile environments. 
• Knowledge and experience in developing secure software. 
• Good knowledge of quality assurance methodologies and the system development life cycle. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices.

Leadership & Ownership

• Ability to lead complex technical initiatives and influence technical decision-making.
• Strong sense of ownership, with the ability to drive complex tasks to completion.
• Experience mentoring engineers and driving continuous technical improvement.

Who You Are

• Open-minded, adaptable team player who actively contributes to collaboration and knowledge sharing.
• Strong communicator with excellent interpersonal skills, effective with both technical and non-technical stakeholders. 
• Self-driven, action-oriented, and comfortable working both independently and collaboratively.
• Customer-focused mindset with a passion for delivering high-quality, impactful solutions.
• Positive, solution-oriented attitude with a strong sense of accountability.
• Excellent analytical skills, able to break down complex problems into actionable solutions. 
• Highly organized and able to manage priorities in fast-paced environments.

Experience

• Proven track record of working in Agile environments, with strong familiarity with Agile methodologies, tools, and best practices. 
• Demonstrated ability to mentor and support less experienced engineers, acting as a role model within the team. 
• Extensive knowledge of industry trends, company strategy, and cross-functional processes. 
• Strong command of English, both written and spoken, with the ability to communicate clearly in a professional environment. 
• Experience or knowledge in Public Key Infrastructure (PKI) is considered a strong advantage, but not required. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 
• Strong demonstrable experience in software engineering or a related field. 

  #LI-NA1

About the team + role

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

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

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

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

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

What you’ll do

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

What you bring

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

Nice to have:

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

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

What we offer

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

About the team + role

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

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

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

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

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

What you’ll do

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

What you bring

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

Nice to have:

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

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

What we offer

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

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

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

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

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

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Continuously evolve data models and schemas to meet business and engineering requirements
• Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of data workflows
• Unblock, support and communicate with internal & external partners to achieve results

Experiences

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of relevant professional experience
• Strong experience with Spark and with a scripting language (Python, Ruby, Bash)
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
• Experience with disparate database, querying and streaming technologies such as S3, DynamoDB, HDFS, Hive, Presto, Pig, HBase, Parquet, Iceberg, Flink, Spark Streaming, Kafka
• Experience with data quality tools such as Great Expectations, dbt, Monte Carlo, Soda, Collibra
• Strong understanding of SQL Engine, experience with querying geospatial data, and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4, Prefect)
• Experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) 
• Experience defining API schemas and developing backend services in a microservices environment

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. 

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
• Solid understanding of ETL processes, workflow orchestration, and data warehousing
• A collaborative mindset—you’re comfortable working across teams to solve real-world problems

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. 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.

Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

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. To do this, we start with our own community by creating an open, inclusive, and diverse organization

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 new features.

The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As a Data Analyst, you will collaborate with our world class team of engineers, product managers, and designers 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 and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as:

• How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
• What is the best way to continue to grow and deploy AVs on our platform? What use cases do riders prefer AVs?
• How do we ensure a consistent excellent rider experience across non-traditional driver sources?
• How do coupons and incentives motivate riders and drivers in premium segments?
• What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?

Responsibilities

• Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
• Uncover new areas of opportunity to grow Lyft’s driver population
• Manage, build, and automate models and reporting to provide regional and national teams with actionable insights on volume, efficiency, and driver experience
• Utilize data and analyses to influence business strategy and product roadmaps
• Regularly partner with Product, Engineering, Operations, Marketing, and Data Science
• Present findings, recommendations, and results to senior leadership and cross-functional stakeholders

Experience

• 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
• Experience in leading high visibility projects and influencing others in a cross-functional team environment
• Experience in communicating with and presenting to senior leaders and data storytelling
• Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
• Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results

Skills

• Ability to independently break down large datasets and synthesize inputs from multiple sources
• Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
• 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
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong written and verbal communication skills for internal stakeholders, including senior leadership
• Strong product and user experience sense
• Excellent organization, planning skills, and attention to detail
• Advanced analytical and problem solving skills
• Proficiency in SQL

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

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

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

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

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

Responsibilities:

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

Experience:

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

Benefits:

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

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

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

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

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

This job fills an existing vacancy.

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

 Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.

We are hiring a Senior Data Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience. This team supports the backbone of Lyft’s search system, supporting millions of rides by helping our riders and drivers connect and reach their destination. Our focus is to ensure the pickup/dropoff experience is seamless by enhancing guidance and routing as well as the rider experience. Additionally the team uses map data and other signals to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all of our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched.

In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.

Responsibilities:

• Owner of core company data pipelines, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Continuously evolve data models and schemas based on business and engineering requirements
• Implement and maintain systems to monitor and enhance data quality and consistency
• Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance
• Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency
• Conduct code reviews to ensure code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines
• Collaborate with internal and external partners to remove blockers, provide support, and achieve results
• Help establish technical roadmaps and architectures based on technology and our business needs.
• Drive high-impact projects and innovate new solutions to provide the best mapping experience possible.
• Ship ML models at scale and low cost by focussing on systems / performance engineering.
  
  

Experience:

• 5+ years of relevant professional experience in data engineering or a related field
• Strong expertise in SQL and experience with Trino or Spark/PySpark
• Experience building and optimizing complex data models and pipelines with a strong understanding of ETL processes
• Expertise in data modeling and ETL, with experience developing and optimizing complex data models and pipelines
• Hands-on experience with workflow management tools (e.g., Airflow or similar)
• Proficiency in a scripting language like Python or Bash
• Comfortable working directly with cross-functional teams (data analytics, data science, engineering) to align solutions with business goals

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 $136,000 - CAD $170,000, 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.