About the Team

The Merchant is at the core of DoorDash. The Merchant Team, one of the largest in the company, powers many facets of our business and is one of the primary drivers of growth and revenue. On the Merchant Strategy & Ops team, our mission is to have best-in class restaurant selection, build cutting edge services for our merchants to grow their business, and help our partners operate seamlessly.

About the Role

We are looking for an operator with a strong bias to action who loves using data and getting creative to solve problems. You’ll join our Merchant Selection team, where we operate relentlessly towards ensuring we strike the best possible deals with our merchants, to enable us to grow our restaurant selection in a sustainable manner. Specifically, you will take ownership of our Merchant Retention function. This role is critical in helping ensure DoorDash maintains the existing selection on our platform, by partnering closely with our account teams to drive value for both our merchants and DoorDash. You will size and model deal opportunities, develop new processes to predict and prevent churn, build compelling packages for our sales teams to pitch and will be responsible for making strategic tradeoffs to find the optimal investments for us to deploy. 

You’re excited about this opportunity because you will…

• Strategize – Devise and execute initiatives against the overall Selection strategy, focused on how we can get the most out of our agreements with merchants
• Optimize – Build the best merchant revenue engine so DoorDash continues to offer the highest quality selection for its customers and retain our merchants 
• Partner: You love equipping other teams with what they need to be successful. You are able to take feedback and put it into action. 

We’re excited about you because you have…

• 3+ years of experience in consulting, strategy, finance, analytics or business operations experience
• Financial modelling experience is required 
• A proven track record of analytical problem solving, managing cross-functional initiatives and stake-holders, and succeeding in a fast moving environment
• An analytical mindset and can deliver actionable recommendations out of complex datasets; SQL experience is preferred
• Bachelors Degree or higher

Your role
As an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

• You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
• You will design and implement data logging and monitoring strategies to capture key analytical insights.
• You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
• You will build and maintain data pipelines on Vertex AI pipelines. 
• You will work closely with the AI Platform team to build tooling for data science projects. 
• You will implement automation and processes to improve our workflow. 
• You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
• You will contribute to our continuous efforts to enforce data privacy and compliance. 
• You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
• 1 - 3 years of working experience with software engineering or data engineering projects. 
• 1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
• 1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines. 
• Experience with BI tools such as Tableau. 
• Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
• Experience working with popular LLM frameworks.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

About Us

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

Preferred Schedule: Candidates located in or able to work Eastern Standard Time (EST) hours are preferred.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Respond to submitted requests through our ticketing system and via direct message, providing technical support for our clinical applications
• Coordinate with other teams on Slack to troubleshoot issues, triaging by severity and driving toward resolution within SLA targets
• Respond to incidents -- gathering information, troubleshooting, and helping guide them to resolution alongside engineering teams
• Update status pages during escalations and write postmortems summarizing root cause, impact, and follow-up actions
• Create knowledge base articles, runbooks, and canned responses with clear, repeatable steps in Confluence
• Perform deep troubleshooting using past experience, internal tools, and observability platforms such as Datadog and Sentry -- investigating down to the code level where needed
• Translate complex technical findings into clear updates for non-technical stakeholders including clinical and operational teams
• Identify trends in recurring incidents and surface patterns to engineering and product teams to drive systemic improvements
• Build tools and scripts to support our teams, improving development and operational efficiency
• Operate within our Quality System, creating and updating records that support our regulated Medical Devices
• Exercise strong judgment on privacy-sensitive cases including entangled patient profiles, merge requests, and data integrity issues

What You’ll Bring

• 3–5 years of experience in technical support, escalation engineering, or a related role involving hands-on troubleshooting of production systems
• Demonstrated software development experience (e.g., Python, TypeScript, NodeJS, React)
• A proactive mindset that persistently hunts down root causes and implements durable solutions rather than applying one-off fixes
• Hands-on experience with observability tools (Datadog, Sentry, New Relic, or similar) and ticket management in Jira
• Experience with incident management processes, including acting as incident commander or on-call responder
• Experience debugging web applications using browser developer tools and tracing issues across the full stack
• Ability to troubleshoot APIs, reproduce issues, and write clear defect reports for engineering teams
• Calm under pressure with strong prioritization skills -- comfortable managing competing urgent requests simultaneously
• Outstanding communication skills with the ability to work collaboratively in remote/async environments and translate technical issues for non-technical audiences
• An excitement to learn new skills and technologies on the job
• Bachelor's Degree in Computer Science or a related field, equivalent experience, or evidence of exceptional ability

Nice To Have

• Experience in safety-critical environments, medical technology, or HIPAA/privacy-sensitive environments
• Familiarity with MRI imaging workflows, DICOM, or clinical application support
• Background in SRE practices: monitoring, alerting, runbook automation
• Familiarity with Auth0 or AWS infrastructure
• Experience with SQL and database troubleshooting

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! 
• Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role ranges from $90,000-$110,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

About Us

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

We are looking for a motivated Escalation Engineer to join our team. You have a passion for understanding and supporting your users, and are excited to deepen your software development and investigation skills. You thrive in fast-paced environments where no two days are the same -- triaging complex issues, diving into logs and code, and working side-by-side with engineering to keep our platform reliable. You are passionate about building products and systems that make a meaningful impact on the lives of thousands of people and their health.

Working Hours: This role operates on a 5:00 AM – 2:00 PM PT schedule.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Respond to submitted requests through our ticketing system and via direct message, providing technical support for our clinical applications
• Coordinate with other teams on Slack to troubleshoot issues, triaging by severity and driving toward resolution within SLA targets
• Respond to incidents -- gathering information, troubleshooting, and helping guide them to resolution alongside engineering teams
• Update status pages during escalations and write postmortems summarizing root cause, impact, and follow-up actions
• Create knowledge base articles, runbooks, and canned responses with clear, repeatable steps in Confluence
• Perform deep troubleshooting using past experience, internal tools, and observability platforms such as Datadog and Sentry -- investigating down to the code level where needed
• Translate complex technical findings into clear updates for non-technical stakeholders including clinical and operational teams
• Identify trends in recurring incidents and surface patterns to engineering and product teams to drive systemic improvements
• Build tools and scripts to support our teams, improving development and operational efficiency
• Operate within our Quality System, creating and updating records that support our regulated Medical Devices
• Exercise strong judgment on privacy-sensitive cases including entangled patient profiles, merge requests, and data integrity issues

What You’ll Bring

• 3–5 years of experience in technical support, escalation engineering, or a related role involving hands-on troubleshooting of production systems
• Demonstrated software development experience (e.g., Python, TypeScript, NodeJS, React)
• A proactive mindset that persistently hunts down root causes and implements durable solutions rather than applying one-off fixes
• Hands-on experience with observability tools (Datadog, Sentry, New Relic, or similar) and ticket management in Jira
• Experience with incident management processes, including acting as incident commander or on-call responder
• Experience debugging web applications using browser developer tools and tracing issues across the full stack
• Ability to troubleshoot APIs, reproduce issues, and write clear defect reports for engineering teams
• Calm under pressure with strong prioritization skills -- comfortable managing competing urgent requests simultaneously
• Outstanding communication skills with the ability to work collaboratively in remote/async environments and translate technical issues for non-technical audiences
• An excitement to learn new skills and technologies on the job
• Bachelor's Degree in Computer Science or a related field, equivalent experience, or evidence of exceptional ability

Nice To Have

• Experience in safety-critical environments, medical technology, or HIPAA/privacy-sensitive environments
• Familiarity with MRI imaging workflows, DICOM, or clinical application support
• Background in SRE practices: monitoring, alerting, runbook automation
• Familiarity with Auth0 or AWS infrastructure
• Experience with SQL and database troubleshooting

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
• The base salary for this role ranges from $100,000-$120,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

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

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

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

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

Learn more about our Product and Engineering team

The Impact You'll Have

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

Who You Are

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

Nice-To-Haves

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

Our (typical) process:

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

Compensation and Benefits

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

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

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

Along with monetary compensation, Marqeta offers

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

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

We are looking to speak to candidates who are based in Vancouver for our hybrid working model.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers and partners encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers and partners, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between.

You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' and partners’ needs - working with our product management and development teams on their behalf. 

You'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Externally, you will work with many of MongoDB's top ISV partners and ensure excellence for our joint customers. 

In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.)
• Experience managing large scale databases (e.g. RDBMS or NoSQL)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read and write code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc.
• Experience working with APIs and other application integration technologies
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: Ability to work collaboratively amongst cross functional teams (partner, sales, support, customer success, etc)
• Willingness and clarity of thoughts to be able to work in ambiguous multi-party situations where motivations and incentives are sometimes misaligned
• General understanding of partner ecosystems

Bonus Points

• Experience in one or more programming languages developing applications using a NoSQL or SQL database
• Strong understanding of authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators
• Experience in working software product teams, and familiarity with product release processes from planning to release
• Experience with one or more 3rd party partner technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc
• General understanding of the genAI concepts and technology companies in this space

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers and partners. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advanced diagnostics. Also, you will be encouraged to handle technical escalations independently

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 nearly 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: 4263346828

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in Vancouver, BC

Responsibilities:

• Design and implement robust, scalable, and high-performance data pipelines
• Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
• Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

 Qualifications:

• 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions.
• 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
• Strong experience with Python, with ability to discuss design patterns; strong SQL skills.
• Expert in Microsoft SQL Server (preferred) or other relational databases.
• Expertise with SQL, stored procedures, triggers, and performance tuning.
• Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
• Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
• Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
• Experience or knowledge of creating RESTful API’s is a plus.
• Experience building Dashboards and visualizations using Power BI or other tools is a plus.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

 #LI-Hybrid

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

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Overview of Role

66degrees’ Managed Cloud Optimization (MCO) team works with some of the largest cloud users in the world to help them transform their businesses with technology. Our Site Reliability Engineers (SREs) combine Google Cloud Platform expertise with a passion for devops methodologies to help our clients maintain, optimize, and scale their cloud implementations.

On a daily basis, our SREs work with varied and exciting customers on topics ranging from solving critical outages to designing and deploying new cloud workloads to building self-healing automation. Our SREs work with cutting-edge Google Cloud technologies like Google Kubernetes Engine (GKE), Anthos, BigQuery and data pipelines, as well as leading 3rd party tools like Prometheus, Datadog, and many others. Our SREs also work with languages like Python and Terraform to create automation, deploy infrastructure, and contribute to open-sourcing.

If you’re looking to continually build and apply your Google Cloud expertise to new and varied environments while acting as a key contributor to building the best Google consulting partner in the industry – let’s talk.

Note: Pacific and Mountain Time Zones preferred; This role has a weekend on-call rotation

Responsibilities

• Ensuring near-zero downtime with monitoring and alerting, self-healing automation, and continuous improvement
• Create highly automated, available and scalable systems by applying software and infrastructure principles
• Employ and advise clients on DevOps and SRE principles and practices, covering deployment pipelines, HA, service reliability, technical debt, and operational toil for live services running at scale
• Provide a proactive approach to our clients’ workloads, anticipating failures, automating tasks, ensuring availability, and providing a great customer experience
• Work closely with clients, your team, and Google engineers to investigate and resolve infrastructure issues
• Manage a Jira queue of inbound requests for numerous clients while effectively balancing and prioritizing projects
• Contribute to ad-hoc initiatives such as writing documentation, open-sourcing, and improving operation, making a huge impact at a rapid-growth Google Premier Partner

Qualifications

• Minimum 4+ years of cloud and infrastructure experience, including demonstrated expertise with Linux, Windows, k8s, databases, and networking services
• 2+ years of full-time Google Cloud experience preferred
• Proficiency with Python required. Other programming language experience is a plus
• Strong provisioning and configuration skills using Terraform
• Experience in troubleshooting that spans systems, network, and code
• Microsoft Server and SQL Server experience is a plus but not required
• Experience with 24x7x365 monitoring, incident response, and on-call support preferred
• Experience determining & negotiating Error budgets, SLIs, SLOs, and SLAs with product owners
• Demonstrate the ability to work independently and as a member of a greater team, including cross-team activities
• Experience working in Agile Scrum, Kanban methodologies in SDLC
• Proven experience balancing service reliability, metrics, sustainability, technical debt, and operational toil for live services running at scale
• Strong communication skills, as this is a heavily customer-facing role
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Design, implement, and scale end-to-end data products that support growing data processing and analytical needs
• Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting
• Leverage AI to build self-serve tools and accelerate Data/GTM workflows
• Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals
• Implement systems that guarantee data quality, governance, and availability

About you

• 5+ years of experience in Data Engineering or Software Engineering
• Experience in data modeling and building scalable data pipelines involving complex transformations
• Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow
• Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows
• Motivated to work closely with cross-functional partners to evolve our analytical data model
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between CAD $138,000 - $168,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

#LI-Hybrid

The People Team is a global team responsible for helping Asana scale with clarity, focus, and impact. We partner closely with leaders across the company to enable performance, develop talent, and build systems that support strong execution and a great employee experience. Our work spans talent and performance management, rewards, employee relations, people partnerships, and people analytics.

As the People Analytics Partner, you will play a critical role in helping the People Team solve complex problems using data and insights. This role is embedded in People Team initiatives—not operating as a back-office reporting function, but as an active partner on high-priority projects. You’ll work closely with People leaders to analyze challenges, inform decisions, and support execution through clear, actionable analytics.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Partner closely with People leaders across Talent, Performance, Rewards, People Partners, and Employee Relations on high-impact projects
• Use analytics to diagnose problems, identify patterns and risks, and evaluate options related to performance, engagement, retention, manager effectiveness, and workforce planning
• Contribute analytics throughout the lifecycle of People projects—from early exploration through execution and follow-up
• Translate data into clear insights and recommendations leaders can act on
• Build dashboards, tools, or models when they directly support decision-making
• Improve data quality, consistency, and usability across People analytics
• Help ensure insights are used to drive focus, prioritization, and follow-through

About you:

• 7+ years of experience as an analytics individual contributor, ideally in People, HR, or organizational analytics
• Strong analytical and problem-solving skills, with comfort working through ambiguity and imperfect data
• Ability to connect quantitative data to real organizational challenges and decisions
• Experience using SQL, spreadsheets, BI tools (e.g., Tableau), and survey data
• Clear communicator who can explain insights and recommendations to non-technical audiences
• Strong project orientation and ability to manage multiple initiatives at once
• Bias toward action and outcomes over analysis for its own sake
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $132,000 - $150,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. You'll drive Asana's acquisition playbook for the emerging LLM-driven channels and re-imagine new customer onboarding in the AI-era. As part of the PLG organization, you'll leverage data to influence how new users discover, learn about,  and decide to start using and paying for Asana.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

• Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes. 
• Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
• Design experiments that measure product progress, and own key performance metrics.
• Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
• Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. 

About you

• 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 
• Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
• 0→1 builder mentality. You've demonstrated the ability to thrive in highly ambiguous environments where you're inventing new playbooks rather than executing existing ones. You're energized by pioneering work.
• Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
• Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
• Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.
• Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.
• Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.
• Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
• Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. 

For this role, the estimated base salary range is between CAD 211,000-240,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Your role
We are seeking a talented, experienced Full-Stack Engineer who is passionate about building high-quality, scalable web applications with modern frontend and backend technologies. You will own significant features end-to-end, tackle technical hurdles, and enrich the team with your engineering experience, including mentoring junior engineers. You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including close collaboration with Product Managers to advocate for technical initiatives for the team.

What you’ll do 

• Develop and maintain Dialpad's web & desktop applications using modern technologies.
• Collaborate with the data science team to build a world-class Agentic AI framework.
• Be able to use AI tools like Claude, Gemini, etc., to build world-class features quickly.
• Write clean, modular, and maintainable code using best practices along with unit tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Take on on-call activities to support and resolve issues from QA and customers.
• Be responsible for deploying new releases on a weekly release cadence.
• Collaborate with cross-functional teams (e.g., DevOps, QA, Product, UX) to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Skills you’ll bring

• 6-10 years of experience in full-stack software engineering.
• Strong experience in writing high-performance, reusable, and reliable Python code.
• Strong experience with RESTful APIs.
• Strong experience in modern cloud platforms like GCP or other cloud infrastructures.
• Strong experience in documentation for architectural designs, technical decisions, and best practices.
• Experience with modern frontend frameworks such as Vue/React, as well as HTML, CSS, JavaScript, and TypeScript.
• Experience with databases, SQL/NoSQL.
• Experience in mentoring junior engineers and helping them grow their skills.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

As a Sr. BI Analyst at Visier, you are a high-level technical lead sitting at the intersection of internal operations and product innovation. You serve as a strategic consultant to our People & Culture (P&C) leadership, transforming complex workforce data into the narratives that drive our global business strategy. 

This is a compelling role. You are not just building dashboards; you are a "product-minded" analyst who takes full ownership of the end-to-end analytical lifecycle. You’ll learn the industry-leading people analytics platform and identify opportunities, define the strategy, and deliver the insights that steer our leadership. Your mandate is to push our internal strategy forward, leveraging our own technology to ensure we are not just using our platform, but setting the gold standard for it.

This role is based out of our Yaletown office in downtown Vancouver.

What you will be doing:

• Strategic Consultation & Advisory: Act as a dedicated internal consultant to the P&C team and senior leadership. You will proactively identify business gaps, translate high-level objectives into data-driven roadmaps, and own the end-to-end design and delivery of high-impact analytical solutions. You operate as a partner, not a service provider: you don’t just deliver the data, you define the “so what” and “what’s next” to actively steer our business strategy. 
• Autonomous Project Leadership: You have full autonomy to identify, define, and execute large-scale technical projects. You are responsible for the end-to-end vision, from data modeling and workforce trend analysis, to communicating outcomes directly to senior stakeholders. 
• Product & AI Innovation: Champion innovation by partnering with Product teams to drive technical changes. You will identify complex data signals and "intangibles" from our internal workforce and business data to influence new product features and validate the effectiveness of our workforce AI models.
• System Integrity & Governance: Own the health and accuracy of our internal Visier People instance. You are the final authority on our data model, resolving complex integration issues across Workday, Peakon, and our proprietary applications to maintain a trusted, single source of truth.
• Strategic Insight Synthesis: You are the primary driver of our data-informed strategy. Rather than simply analyzing data, you leverage these insights to spearhead specific organizational improvements. You own the end-to-end process: from diagnosing business challenges to shaping the narrative, and ultimately driving the adoption of the changes that improve our overall organizational health.
• Optimizing Operational Delivery: Drive operational efficiency by collaborating with the internal teams to track performance metrics and ensure the timely execution of all departmental deliverables.
• High Influence: Act as a dedicated internal consultant to department heads, leading deep-dive discovery sessions to map their specific business KPIs to actionable workforce data. You will drive the adoption of Visier People by demonstrating how the platform transforms complex departmental challenges into measurable growth opportunities, making our data the cornerstone of their strategic decision-making.

What you’ll bring to the table:

• Advanced Experience: 6+ years in a BI or Data Analytics role, with a record of resolving complex issues in creative ways within a SaaS or HR Tech environment.
• Technical Mastery & Leadership: Advanced-level SQL and deep expertise in data visualization. You lead by example and may function as a lead for cross-functional work groups.
• Independent Judgment: A proven ability to work without supervision, applying advanced analysis to resolve complex situations where multiple variable factors are at play.
• Strategic Impact: A track record of taking initiative to drive process or technical changes across a business. You are seen as a subject matter expert who can influence the thinking of stakeholders.
• Domain Expertise: Advanced understanding of HR metrics and the HR tech stack (Workday, Greenhouse, etc.), coupled with an expert-level ability to evangelize the "Visier Way" of people analytics.
• AI Edge: A strategic understanding of how Machine Learning models consume data and the foresight to drive the future of AI-driven workforce insights.

🌱 Most importantly, you share our values…

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

🚀 How we work & what we offer...

• Fixed hybrid work model: 3 days a week in office (Tuesday, Wednesday, Thursday) 
• Modern, pet-friendly downtown office spaces with collaborative areas and an on-site gym 
• Annual company All Hands in Vancouver, our entire organization travels to our Vancouver HQ for a week of team building, learning and breakout sessions
• Competitive salary, and top-tier health and wellness benefits
• Stock options and/or bonus based on your role, location, and employment type
• Generous paid time off, including volunteering days and extra days over the December holidays 

The base pay range for this position in the 90,000-115,000 / year + bonus

Benefits and working arrangements may vary depending on your seniority, location and employment type. The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

As a Production Support Engineer I at Marqeta, you will play a pivotal role in our commitment to customer satisfaction and the seamless operation of our products and services. You will serve as the first line of contact for our customers, adeptly handling and resolving technical issues, using known procedural documents with some technical analysis performed while translating technical jargon into user-friendly language. In addition, you will collaborate with our Engineering teams to manage software updates. 

Your role will also involve handling problems in all areas of Marqeta's products and services and ensuring that our customers get the best support. For complex issues, you would follow escalation procedures engaging Senior members and Engineering teams. At Marqeta, we value the essential role our Production Support Engineers play in our service delivery chain and look forward to welcoming you to our team.

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

This position is for an existing vacancy.

The Impact You’ll Have

• Provide high-quality support, and take ownership in responding to inquiries, issues and escalation inquiries through tickets, emails, and other channels
• Perform problem-solving, diagnosing, and generating corrective action plans for issues 
• Work cross-functionally to resolve issues and provide customer care
• Provide on-call support for rotations and escalations
• Assist in monitoring production transaction volume, functionality and performance
• Be proactive in monitoring, optimizing issuer resolution, and implementing corrective action planning
• Interact with Product, Engineering, and Technical Operational teams to provide feedback on production support related issues and improvements

 Who You Are

• 2 years of experience in Technical Support, Production Support, or IT Support for B2B customers
• Experience in payments and/or accounting systems
• Ability to work in a customer-facing role, with strong written and verbal communication skills, with the ability to listen, show empathy, and also be able to converse with both internal and external technical and non-technical stakeholders
• Committed, flexible through on-call rotations, and demonstrated ability to maintain high levels of productivity with minimal supervision
• Experience with ticketing systems (such as, Jira, SalesForce, etc)
• Good understanding of API technologies and troubleshooting (i.e.: you know what cURL does, know HTTP response codes, etc.)
• Basic SQL knowledge should be able to modify queries for data extraction for troubleshooting
• Comfortable working within a Linux environment
• Experience with logging and monitoring tools such as Kibana, Splunk, AppDynamic, SumoLogic, Grafana, Datadog, and New Relic
• The ability and desire to learn new technologies and tools

Nice to haves

• Experience working at a high-growth company
• Scriptwriting - Python, Ruby, Shell, etc
• Ability to read/understand Java codebase

Compensation and Benefits

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

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 60,600 - 75,800

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

Along with monetary compensation, Marqeta offers

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

Sales at Brex

The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team.

What you’ll do

Brex is looking for an individual to join the Revenue Operations Team, which is responsible for driving revenue growth in close partnership with revenue leaders. We help revenue teams drive consistent growth through regular reporting, analytical insights, process improvements, systems updates, strategic initiatives, cross-functional alignment, incentive design, and coverage model design. You should have an analytical mindset with a curiosity to get to the right solution to every problem. The ability to translate data into insights is critical as you will work closely with the Revenue Operations business partners, enablement, finance, systems, data, and revenue teams.

Responsibilities

• Create and update dashboards, reports, and presentations to give revenue leaders and operations partners the data they need to run their businesses
• Proactively identify opportunities to provide additional reporting or analytical clarity to better understand business performance
• Monitor pipeline health and funnel conversion metrics, surfacing trends and anomalies to sales and revenue operations leadership
• Run deep dive analyses to identify challenges and opportunities within the business
• Partner with Revenue Operations business partners and revenue leaders to support the design, implementation, documentation, and success tracking of operational solutions
• Assist with building complex capacity and funnel models for annual planning and scenario evaluation
• Respond to ad hoc data and reporting requests from sales leadership and cross-functional partners

Requirements

• 1-3+ years of experience in revenue operations, sales strategy, business operations, sales finance, or similar; preferably at a Fintech or SaaS company
• Analytical mindset with a desire for high data precision and accuracy
• Excellent written and verbal communication skills
• Comfortable working cross-functionally and managing requests from multiple stakeholders simultaneously
• Self-motivated and able to run with projects autonomously with moderate oversight
• Strong spreadsheet and modeling skills
• Basic to moderate SQL skills with experience in data visualization tools (Looker or Hex experience a plus)
• Comfortable working within CRM data models to extract, report on and interpret data (Salesforce preferred)
• Meticulous attention to detail, including in documentation

Bonus Points

• Exposure to sales compensation methodologies and tracking
• Experience supporting revenue annual planning cycles
• Knowledge of revenue recognition principles and finance systems
• Familiarity with marketing platforms such as Qualified or Leandata, sales engagement platforms like Outreach or Nooks, and sales management platforms such as Atrium or Gong. 
• Experience leveraging AI for analytics or process optimization

Compensation

As a Test Developer Co-op at Visier, you will work with the Test Enablement Team and will be responsible for ensuring the integrity of the Visier application.

Our co-op experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after 8 months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier! We use a variety of frontend technologies including Angular, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kafka, Consul, Cassandra DB, Docker, AWS, etc. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Manual testing, building automated tests, and data validation
• Working with developers to create and sign off on test plans
• Writing end-to-end UI automated tests and REST tests
• Setting up Jenkins CI pipeline to automate common tasks
• Performing final checks to ensure the software we release is beautiful

What you'll bring to the table...

• Coding skills in writing functional tests using Selenium, Playwright, and REST Assured
• Some knowledge in one of the following areas:
• Knowledge of data structures and algorithms
• Knowledge of web technologies (REST, XML, JSON, Angular14)
• Knowledge of SQL databases and SQL language is an asset
• Attention to detail, tendency to spot mistakes and identify potential improvements

Most importantly, you share our values...

• You roll up your sleeves
• You make it easy
• You are proud
• You never stop learning
• You play to win

The base pay range for this position in Canada is $3,600 - $4,500 per month. 

Our co-op experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after 8 months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier! 

And we use state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kafka, Consul, Cassandra DB, Docker, AWS, etc. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production-level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, JavaScript, Typescript, Scala or other similar languages)
• Coding skills in writing functional tests (eg using Selenium and ScalaTest)
• Knowledge of data structures and algorithms
• Attention to detail, tendency to spot mistakes and identify potential improvements
• Knowledge of web technologies (REST, HTML/CSS, JSON, Angular) is an advantage
• Knowledge of relational and non-relational databases and SQL language

The base pay range for this position in Canada is $3,600 - $4,500 per month. 

Lantern is seeking a Senior Software Engineer to join our healthcare technology team and help shape the future of our platform. In this role, you will drive technical innovation, design and build robust Python-based microservices, and maintain existing C# .NET applications as we transition toward a modern, scalable architecture. You’ll work across the full stack—building secure APIs, developing intuitive frontends, and delivering cloud-native solutions that improve the lives of patients and healthcare providers.

The ideal candidate is a hands-on engineer and technical leader who promotes a culture of knowledge sharing, collaboration, and continuous improvement. You’re comfortable working across domains, partnering with Product, and other stakeholders, and navigating ambiguity to make pragmatic architectural decisions. We value engineers who take ownership, communicate clearly, and are eager to mentor others while raising the technical bar.

At Lantern, we thrive on solving complex challenges and reimagining how healthcare is delivered. We’re looking for someone who brings creativity, curiosity, and a passion for building scalable, maintainable systems—along with a strong sense of teamwork, delivery focus, and a genuine enthusiasm for improving healthcare through technology.

Location: Hybrid - at least 3 days/wk in Vancouver, BC

Responsibilities:

• Design and implement robust backend solutions using Python (FastAPI, Django, or Flask) and contribute to .NET (C#) systems during the ongoing platform transition.
• Develop, document, and maintain secure RESTful APIs for integration with internal applications, third-party services, and mobile platforms.
• Build and maintain responsive frontends using React or Angular, tailored for care advocates and patient-facing applications.
• Leverage cloud platforms (Azure, AWS) to develop scalable, high-availability solutions using cloud-native services such as functions, messaging queues, storage, and managed databases.
• Maintain CI/CD pipelines in co-ownership with infrastructure team to support continuous delivery and infrastructure automation with tools like Azure DevOps or GitHub Actions.
• Collaborate closely with Product, and QA teams to define technical requirements and ensure regulatory alignment.
• Participate in system architecture design, peer code reviews, and sprint planning to drive high-quality engineering outcomes.
• Mentor junior developers and contribute to internal technical standards, documentation, and best practices.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• A minimum of 5 years of experience in software development, with strong proficiency in Python and working knowledge of .NET (C#) for maintaining legacy systems.
• A minimum of 5 years of experience building secure, scalable REST APIs and backend services.
• Solid understanding of relational databases such as Microsoft SQL, PostgreSQL, or MySQL.
• Experience writing unit and integration tests using frameworks such as PyTest, xUnit, or Jest to ensure code quality and maintainability.
• Familiarity with OAuth 2.0 authentication and authorization flows.
• Strong experience with cloud platforms like Azure or AWS, including serverless and containerized services.
• Excellent problem-solving and analytical skills, with a proactive approach to modern design and development practices.
• Familiarity with healthcare data standards (FHIR, HL7, X12) and HIPAA-compliant environments is a plus
• Experience working within Agile/Scrum methodologies.

Benefits:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short- & Long-Term Disability
• Life Insurance
• Flexible PTO
• RRSP with company match

Lantern is seeking a Senior Software Engineer to join our healthcare technology team and help shape the future of our platform. In this role, you will drive technical innovation, design and build robust Python-based microservices, and maintain existing C# .NET applications as we transition toward a modern, scalable architecture. You’ll work across the full stack—building secure APIs, developing intuitive frontends, and delivering cloud-native solutions that improve the lives of patients and healthcare providers.

The ideal candidate is a hands-on engineer and technical leader who promotes a culture of knowledge sharing, collaboration, and continuous improvement. You’re comfortable working across domains, partnering with Product, and other stakeholders, and navigating ambiguity to make pragmatic architectural decisions. We value engineers who take ownership, communicate clearly, and are eager to mentor others while raising the technical bar.

At Lantern, we thrive on solving complex challenges and reimagining how healthcare is delivered. We’re looking for someone who brings creativity, curiosity, and a passion for building scalable, maintainable systems—along with a strong sense of teamwork, delivery focus, and a genuine enthusiasm for improving healthcare through technology.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Responsibilities:

• Design and implement robust backend solutions using Python (FastAPI, Django, or Flask) and contribute to .NET (C#) systems during the ongoing platform transition.
• Develop, document, and maintain secure RESTful APIs for integration with internal applications, third-party services, and mobile platforms.
• Build and maintain responsive frontends using React or Angular, tailored for care advocates and patient-facing applications.
• Leverage cloud platforms (Azure, AWS) to develop scalable, high-availability solutions using cloud-native services such as functions, messaging queues, storage, and managed databases.
• Maintain CI/CD pipelines in co-ownership with infrastructure team to support continuous delivery and infrastructure automation with tools like Azure DevOps or GitHub Actions.
• Collaborate closely with Product, and QA teams to define technical requirements and ensure regulatory alignment.
• Participate in system architecture design, peer code reviews, and sprint planning to drive high-quality engineering outcomes.
• Mentor junior developers and contribute to internal technical standards, documentation, and best practices.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• A minimum of 5 years of experience in software development, with strong proficiency in Python and working knowledge of .NET (C#) for maintaining legacy systems.
• A minimum of 5 years of experience building secure, scalable REST APIs and backend services.
• Solid understanding of relational databases such as Microsoft SQL, PostgreSQL, or MySQL.
• Experience writing unit and integration tests using frameworks such as PyTest, xUnit, or Jest to ensure code quality and maintainability.
• Familiarity with OAuth 2.0 authentication and authorization flows.
• Strong experience with cloud platforms like Azure or AWS, including serverless and containerized services.
• Excellent problem-solving and analytical skills, with a proactive approach to modern design and development practices.
• Familiarity with healthcare data standards (FHIR, HL7, X12) and HIPAA-compliant environments is a plus
• Experience working within Agile/Scrum methodologies.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Data Platform Solution Architect

Who We Are: 

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers.

With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we’re building tomorrow’s solutions, together.

This Role:

We are seeking a mid‑level Data Platform Solution Architect to join our consulting and professional services team.

This role blends solution architecture, pre‑sales support, and delivery execution, focused on designing and implementing modern data and AI platforms using Microsoft Fabric and Azure Databricks.

The successful candidate will work closely with pre-sales & delivery teams to drive assessment‑led engagements, build scalable data platform & AI design and architectures, and accelerate customer outcomes while enabling downstream services and managed services attach.

Key Responsibilities

Solution Architecture & Design

• Architect modern Data & AI platforms (Lakehouse/Data Lake) and analytics platforms using:
• Microsoft Fabric (OneLake, Data Engineering, Data Factory, Data Science, Real‑Time Analytics, Power BI)
• Azure Databricks (Lakehouse, Delta Lake, Workflows, Unity Catalog)
• Design secure, scalable, and cost‑optimized Data & AI platform architectures aligned to SMB and mid‑market needs
• Develop reference architectures and repeatable patterns aligned to Microsoft and Databricks best practices

Pre‑Sales & Assessments

• Support pre‑sales activities including:
• Technical discovery sessions
• Architecture whiteboarding
• Scoping and estimation support for Statements of Work (SOWs)
• Lead or contribute to Data & AI platform assessments (Data & AI Readiness, Fabric Readiness, Databricks/Lakehouse Assessments)

Delivery & Technical Leadership

• Act as technical lead or senior contributor on data platform implementations
• Provide design oversight and hands‑on guidance for:
• Data ingestion pipelines
• Data source integrations
• Transformations (SQL, PySpark)
• Semantic models and analytics layers
• Ensure delivery aligns to scope, timelines, and architectural standards

Governance, Security & Optimization

• Design data governance, security, and compliance models including:
• Data access controls
• Cataloging and lineage
• Workspace and tenant design
• Apply FinOps and performance optimization practices to control cloud costs
• Advise clients on platform lifecycle management and operational readiness

Partner & Practice Enablement

• Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance
• Contribute to:
• Internal accelerators
• Delivery templates
• Sales enablement content
• Support partner motions aligned to Microsoft Solution Partner and Databricks designations

Required Qualifications

Technical Experience

• 4–6 years of experience in data & AI engineering, analytics, or data platform architecture
• Hands‑on experience with:
• Microsoft Fabric or strong Azure Data + Power BI background transitioning to Fabric
• Strong Copilot/Copilot Studio background
• Azure Databricks and or Databricks
• Strong understanding of:
• Data platform & AI Lakehouse architecture
• ELT/ETL patterns
• SQL and PySpark
• Experience with Azure data services such as:
• Azure Data Lake Storage
• Azure Synapse
• Azure SQL
• Azure Data Factory

Consulting & VAR Experience

• Experience in a VAR, systems integrator, or consulting environment

Communication & Collaboration

• Strong client‑facing consulting and communication skills
• Ability to translate technical concepts into business value
• Experience collaborating with sales, delivery, and pre-sales teams

Preferred Certifications

Microsoft (preferred)

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert (plus)

Databricks

• Databricks Data Engineer Associate
• Databricks Data Engineer Professional
• Databricks Lakehouse Fundamentals

Cloud & Architecture (Nice to Have)

• Azure Fundamentals (AZ‑900)
• AI‑900 (Azure AI Fundamentals)
• FinOps Practitioner (or equivalent cost‑management training)

What Success Looks Like (First 12 Months)

• Successfully support and deliver multiple Fabric and Databricks engagements
• Become a trusted technical advisor to sales and clients
• Drive assessment‑led opportunities into implementation and managed services
• Contribute to repeatable offerings that improve delivery margin and velocity

Why Quadbridge? 

• Invest in Your Future – Benefit from our RRSP program to help you plan ahead.
• Grow With Us – Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage – A complete health, dental, life and LTD insurance plan
• Top-Tier Equipment – We provide everything you need to do your best work.
• A Vibrant Workplace – Join us for monthly social and team building events.
• Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym.
• Stay Connected – Receive a phone allowance to keep you plugged in.
• Bring Your Best Friend – Our offices are pet-friendly!

Salary range

$160,000 to $185,000 annually, plus bonus based on KPIs

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.

Permanent, full-time, hybrid or remote

Location:

Montreal (QC) , Kitchener (ON) or Vancouver (BC)

Application Deadline  

June 30, 2026

Ce poste est également affiché en français. 

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.

About impact.com
impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics.

This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business.

You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both.

What You'll Do:

Yield Optimization & Pricing Models

• Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory.
• Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health.
• Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns.
• Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders.

Inventory Allocation & Supply Optimization

• Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives.
• Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions.
• Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base.

Data Architecture & Feature Engineering

• Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving.
• Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes.
• Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing.

Real-Time Inference & Production ML

• Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making.
• Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers.
• Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic.
• Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration.

Experimentation & Performance Measurement

• Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue.
• Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy.
• Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders.

Self-Learning Systems & Feedback Loops

• Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate.
• Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides.
• Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics.

Cross-Functional Collaboration

• Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly.
• Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse.
• Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams.

What You Bring:

Required

• Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems).
• Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack.
• Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership.
• Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks).
• Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference).
• Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining.
• Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events.
• Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques).
• Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred.

Preferred / Nice to Have

• Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms.
• Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML.
• Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems.
• Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions.
• Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling).
• Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training.
• Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts.
• Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery.

What Sets You Apart

• Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack.
• Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain.
• Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal.
• Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking.
• Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project.
• Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy.

Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant.

*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Strong extended health benefits: Health & Prescription coverage, vision and dental care, virtual health care, out-of-country medical coverage
• Insurance coverage (life, short-term disability, long-term disability, and more)
• Health Care Spending Account
• Two different Employee Assistance Programs
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. 

Note: Benefits may vary by location and are subject to local regulations.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI_Vancouver_Canada

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

We're building AI agents to automate and augment internal functions at Brex, and we're looking for a hands-on builder to help us do it. You'll embed with teams across the company to understand how they actually work, then design, build, and ship agents that deliver real outcomes. You'll work on top of existing models and frameworks, wiring together tools, MCPs, and internal systems into agentic workflows. This is a technical role where you'll spend most of your time building, shipping, and iterating alongside the people whose work you're automating.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Embed with partner teams to deeply understand workflows, including shadowing and learning different job functions.
• Scope, design, and deploy agents that take over real workflows across internal orgs.
• Integrate agents with internal systems, APIs, and data sources.
• Define evaluation frameworks, success metrics, and feedback loops to measure and improve agent performance.
• Build shared tooling and contribute to playbooks that accelerate deployments, while owning reliability, adoption, and business impact.

Requirements:

• 4+ years in engineering, technical product/program management, applied AI, or a similar technical role, with a track record of shipping AI/automation systems to production.
• Hands-on experience building with LLMs, agent frameworks, and tool-use patterns (e.g., MCP, function calling, RAG) across the full stack (data, APIs, orchestration, product).
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design.
• Strong ability to decompose human workflows into scalable, agentic systems, grounded in a deep curiosity for how people work.
• High ownership and cross-functional influence, with the ability to quickly build trust across teams and seniority levels.

Bonus points

• Experience automating back-office functions rather than just customer-facing AI features.
• Experience with OpenClaw, Hermes, or other general-purpose agent harnesses.

Compensation:

The expected salary range for this role is CAD $152,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $63,286- $71,196.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000 CAD + equity. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack.

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As a Product Leader at Brex, you will be the driving force behind our Growth Product team — overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending needs. You will be instrumental in creating features, models, and tools that empower our GTM and Marketing teams to get maximal leverage out of their efforts. You will work closely with cross-functional teams across the organization, based in San Francisco, New York, Seattle, Vancouver, Brazil, and remote locations. Past examples of work in this domain include AI agents for GTM workflows, developing best-in-class GTM data and enrichment systems, ML models for account prioritization, prospect AI classification systems, and more.

Where you’ll work

This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Drive product and systems investments that improve GTM metrics such as CAC payback, pipeline conversion, and efficiency.
• Define and execute a multi-quarter Growth strategy in partnership with Engineering, Design, GTM, Marketing, Ops, and Data to deliver high-impact, scalable products with measurable business impact.
• Embed within Sales, Marketing, and Customer Success to identify workflow bottlenecks and lead automation and optimization initiatives.
• Analyze GTM funnel and conversion metrics to uncover insights and guide product priorities and roadmap decisions.
• Set clear goals, metrics, and success criteria for the Growth team, driving accountability to measurable outcomes.
• Manage and develop a team of Product Managers, fostering clarity, ownership, and a culture of high performance.
• Oversee core Growth Product and Engineering domains, including account scoring, TAM data, outbound automation, and GTM tooling.
• Align stakeholders around an aspirational 6–12 month roadmap that advances GTM efficiency and business growth.
• Ensure successful activation and implementation of customers initiatives by partnering with GTM and Customer Success to operationalize tooling and automations.
• Continuously refine activation based on feedback and performance data to drive faster time-to-value and sustainable adoption.

Requirements

• Relevant experience: 10+ years of experience in product management or management consulting, ideally with direct responsibility for or experience scaling B2B products and GTM systems, with a strong understanding of growth, GTM, and/or marketing pipelines.
• Analytical sense: You demonstrate a strong aptitude for and actively use data to inform your decision-making. Basic SQL proficiency is strongly preferred.
• Communication: You have proven experience working and communicating effectively with senior leaders and executives, and influencing stakeholders across departments and functions, including Engineering, Design, Marketing, Sales, CRMX/Business Systems, IT, Legal, and more. You excel at building trust and working relationships.
• Systems-thinker: You are a systems thinker, capable of thinking holistically across product, technical, and people systems to identify bottlenecks and opportunities for efficiency, automation, fraud prevention, and product growth within the payables ecosystem.

Compensation

The expected salary range for this role is $340,000 - $425,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As a Staff Product Manager at Brex, you will operate at the intersection of product strategy, technical depth, and business impact. You will define and drive multi-quarter strategy within one of Brex’s most critical product domains, leading initiatives that materially shape the company’s trajectory.

You will be expected to identify the highest-leverage problems, frame them with rigor, and mobilize cross-functional teams to deliver step-function improvements in customer value, revenue, efficiency, or distribution.

You will work directly with senior leaders across Product, Engineering, Design, Data, Risk, Legal, Compliance, Finance, and GTM. You will influence decisions beyond your immediate team and elevate the standards of product thinking across the organization.

Where you’ll work

This role will be based in either our San Francisco, Seattle or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Define and own a multi-quarter product vision and strategy aligned to Brex’s highest company priorities.
  
  
• Identify high-leverage opportunities that create durable competitive advantage, not just incremental improvements.
  
  
• Lead complex, cross-functional initiatives that span multiple teams, systems, and stakeholder groups.
  
  
• Develop deep domain expertise in your area (e.g., financial infrastructure, risk systems, growth systems, payables ecosystem, etc.) and use it to inform product direction.
  
  
• Partner closely with Engineering to design scalable technical systems, engaging meaningfully in architectural discussions and tradeoffs.
  
  
• Set clear success metrics tied to company-level outcomes and hold teams accountable to measurable impact.
  
  
• Drive structured decision-making in ambiguous environments, balancing speed with rigor.
  
  
• Influence senior leaders and executives through clear thinking, strong written narratives, and data-backed recommendations.
  
  
• Improve product craft and operating standards across the organization, mentoring PMs and elevating how we build.
  
  

Requirements

• Experience: 7–10+ years of product management experience, with a demonstrated track record of leading complex, high-impact product initiatives in high-growth B2B or fintech environments. Experience building platform or financial infrastructure products is strongly preferred.
  
  
• Strategic rigor: Proven ability to define product strategy that translates into measurable business outcomes.
  
  
• Technical depth: Strong fluency in technical systems and architecture. You are comfortable discussing APIs, data models, experimentation frameworks, and system tradeoffs with engineers.
  
  
• Analytical excellence: Highly data-driven. Strong experience defining metrics, running experiments, and using SQL (or similar tools) to guide decisions.
  
  
• Executive communication: Exceptional written and verbal communication skills. Ability to influence senior stakeholders through structured thinking and compelling narratives.
  
  
• Systems mindset: Ability to reason holistically across product, technical, operational, compliance, and revenue systems.
  
  
• High standards: Demonstrated ability to raise the quality bar — for product thinking, execution, and customer experience.

Compensation

The expected salary range for this role is $240,000 - $300,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

Brex has an abundance of opportunities to develop tech-enabled infrastructure and applications to drive GTM productivity, measured by pipeline dollars, conversion rates, customer activation, retention, and ultimately revenue. This role will drive key initiatives to work with a dedicated Engineering and Design team and a set of XFN partners to develop tech-enabled tooling, infrastructure, and applications to support Brex’s revenue growth and retention.

Brex is at the forefront of re-architecting its GTM systems with modern, AI-powered infrastructure. You’ll work with a dedicated engineering team and cross-functional leadership partners to design and build scalable systems that increase productivity and revenue leverage across the funnel.

This includes initiatives such as:

• AI agents embedded across GTM workflows — designing, deploying, and iterating on autonomous agents that handle prospecting, lead qualification, customer onboarding, and lifecycle engagement
• Intelligent outbound and lifecycle automation — building systems that dynamically personalize outreach timing, channel, and messaging based on real-time signals
• Pipeline prioritization and scoring — helping improve our ML-driven models that continuously learn from conversion outcomes
• Application and onboarding optimization — using AI to reduce friction, predict drop-off, and adaptively guide customers through activation
• Experimentation infrastructure — standing up frameworks to rapidly test AI-driven interventions across the funnel, with clear attribution to revenue outcomes
• Revenue tooling that compounds — building platforms (not point solutions) that make every rep and marketer measurably more productive over time

Where you’ll work

This role will be based in either our San Francisco, Seattle or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Own a critical GTM-related metric and define the product strategy and roadmap to drive step-change improvements.
• Identify structural bottlenecks across the revenue funnel — spanning tooling, automation, data, incentives, and workflows — and design systems to address them.
• Lead 0→1 and 1→N initiatives that re-architect Brex’s GTM infrastructure.
• Partner deeply with Sales, Marketing, RevOps, Engineering, Legal, IT, and Data to drive high-impact outcomes.
• Influence stakeholders and executives through clear strategy, strong business cases, and measurable results.
• Establish clear input and output metrics, and operate with rigor on experimentation, prioritization, and tradeoffs.
• Help define and scale Brex’s Growth Product function as it evolves.

Requirements

• Experience building and scaling growth, revenue, or GTM systems in a high-growth technology company.
• Experience owning and materially moving company-level metrics.
• Strong systems thinking — ability to identify leverage points across product, process, and people systems.
• Demonstrated track record of leading complex, cross-functional initiatives with executive visibility.
• Deep analytical fluency; comfortable working with funnel metrics, experimentation frameworks, and data tools (SQL proficiency preferred).
• High ownership mindset with the ability to operate in ambiguity and build from first principles.

Compensation

The expected salary range for this role is $240,000 - $300,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As Director of Product Management, Banking + AP, you will define and drive the strategy for one of Brex’s most critical domains: the Operating Account platform — the combination of Banking and Accounts Payable that makes Brex the place customers run payments from day one. Brex's banking product is used by tens of thousands of businesses to store $10B+ in total deposits, and our AP platform moves over $1B across hundreds of thousands of transactions each month. This role will own the end-to-end product vision and execution across customer accounts, money movement, treasury capabilities, liquidity management, accounts payable workflows, and regulatory-compliant banking services.

You will define how Brex wins in this category — turning banking and payables into a unified system customers choose to run their business. By aligning product capabilities with customer buying criteria, partner ecosystems, and segment needs, you will strengthen Brex’s competitive differentiation and expand our role at the center of business finance.

You will set multi-year platform strategy, lead and develop a team of Product Managers, and partner deeply with Engineering, Design, GTM, Risk, Legal, Compliance, Finance, and external banking partners. Your work will shape Brex’s competitive advantage in embedded banking and financial operations — making Brex indispensable to how businesses move and manage money, and enabling durable deposit growth as a natural outcome.

Where you’ll work

This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

Define and drive Operating Account strategy

• Own the multi-year product vision and roadmap for Brex's Operating Account platform spanning Banking and Accounts Payable — aligned to company-level priorities.
• Identify and prioritize high-leverage opportunities that drive AP attach, deepen operating behavior, and grow durable DDA balances through payment activity rather than balance-seeking alone.
• Identify customer challenges across increasing coordination and control complexity, from admin-initiated payments and centralized AP through decentralized, multi-stakeholder procurement workflows.
• Balance innovation with regulatory rigor, ensuring long-term scalability and resilience.

Lead complex, regulated systems across Banking and AP

• Oversee core banking and AP domains including accounts, ledger systems, payment rails (ACH, wires, RTP, international), bill pay, vendor management, treasury workflows, and embedded financial services.
• Drive the integration of banking and AP capabilities into a unified operating experience, ensuring that money movement, vendor payments, and account management work seamlessly together.
• Engage deeply with Engineering and Risk in discussions around APIs, ledger design, reconciliation, data models, and risk controls, to design reliable and scalable systems.

Build and lead a high-performing PM team

• Manage and develop a team of Product Managers spanning banking and AP, fostering ownership, clarity, and high standards.
• Elevate product craft across the organization, being at the forefront of how the role is changing as we incorporate agents
• Establish strong operating rhythms for planning, prioritization, and cross-functional alignment.

Deliver measurable business impact

• Define success metrics tied to company outcomes such as operating account attach rate, DDA balance growth, AP transaction volume, revenue expansion, margin improvement, customer retention, risk loss rates, and operational efficiency.
• Drive structured decision-making using data, experimentation, and financial modeling — with a sharp focus on the relationship between AP behavior and balance durability.
• Hold teams accountable to clear impact targets and measurable results.

Requirements

• 10+ years of product management experience, including leading and developing high-performing PM teams and building strong product cultures.
• Proven track record of setting and executing multi-quarter or multi-year strategies that delivered measurable business impact (growth, retention, revenue expansion, cost efficiency, or adoption).
• Strong business and systems thinking — able to translate complex operational or infrastructure challenges into simple customer experiences that drive adoption and long-term platform stickiness.
• Data-driven decision maker with experience defining success metrics, modeling business impact, and using SQL or similar tools to inform priorities and tradeoffs.
• Exceptional communicator who creates clarity in complex environments — distilling strategy, tradeoffs, and decisions into narratives that align executives and mobilize teams.
• Experience building trusted, mission-critical products where reliability, accuracy, and customer confidence are non-negotiable.
• High standards for product rigor and execution quality — consistently raising the bar for clarity of thinking, prioritization, and customer impact.

Bonus Points

• Experience building or scaling accounts payable, payments, or money movement workflows, especially in B2B environments.
• Experience with financial infrastructure, fintech platforms, or regulated products.
• Familiarity with distributed systems, APIs, ledgers, payment rails, or financial data models.
• Experience improving or automating procurement, bill pay, vendor management, or operational finance workflows.
• Track record of driving deposit growth, balance-based revenue, or usage-driven platform adoption.

Compensation

The expected salary range for this role is $340,000 - $425,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Marqeta is looking for talented Senior Backend Software Engineers to join our Engineering team. As a Senior Software Engineer, you will develop scalable software that powers Marqeta's backend services. You will create and review engineering design documentation, continuously improve our systems, infrastructure, and processes, create features, review code, and collaborate with a diverse set of stakeholders across the company. As a Backend Engineer, you'll ship products that matter and play an important role in helping Marqeta scale as the leader in modern card issuing. You'll innovate on architecture, write impactful software and spend time mentoring other engineers. 

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

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

This posting is for multiple Senior Software Engineering roles across Marqeta.

The Impact You'll Have

• Define and deliver well-scoped milestones for projects and may be a technical lead for projects on your team. 
• Actively keep customer needs in mind and leverage input from product stakeholders to determine the right technical solutions to deliver customer value quickly.
• Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example. 
• Independently write code that is clear with minimal bugs that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements. 
• Identify gaps and propose plans towards addressing those gaps. 
• Challenge the status quo and come up with innovative ideas.
• Lead design for small-medium components/features and participate in design for larger components/features (moving from task level impact to small-medium project level impact).
• Have significant ownership of a component/feature of the system.
• Independently design software components in well scoped scenarios, with simplicity and maintenance as key considerations, ensuring components are testable, debuggable and have logical APIs that are not easily misused.
• Participate in on-call coverage

Who You Are 

• 5+ years of experience as a backend engineer with a Bachelor’s degree; or 3 years of experience with an advanced degree.  In lieu of a degree, 8+ years of relevant experience may suffice.
• Experience building scalable software platforms.
• Experience developing in Java.
• Experience working within Cloud environments, AWS preferred.
• Experience with SQL.
• Experience with Microservices architecture. 
• Experience working with distributed systems. 
• Experience making technical trade offs and navigating technical complexities.
• Experience troubleshooting production issues.
• Ability to decompose business problems into solutions that may require designs with multiple interacting components. 
• Ability to to build correct, maintainable software components.
• A focus on quality and meeting deadlines.
• Ability to present clear and concise messages tailored to various audiences; able to communicate in a clear, concise, and respectful manner both verbally and in writing.
• Ability to share relevant information including if difficult task-level trade-offs that impact the product need to be made. 
• Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity.

Nice to haves

• Experience with payments or the FinTech space
• Experience with AWS technologies 
• Experience in software delivery pipelines, CI/CD systems, and software deployment and orchestration systems such as Kubernetes and/or Docker
• Contributions to technical blogs, a public Github repo, or to open source projects
• Experience with unit testing / functional testing / integration testing
• Experience building scalable software platforms.
• Experience in end-to-end service ownership model including maintenance of infrastructure and familiarity with IaC technologies, CI/CD and observability tools (ie DataDog)

Our (typical) process:

1. Application submission
2. Recruiter video call
3. Coding interview
4. 45 min Hiring Manager video call 
5. Virtual “Onsite” consisting of three 45-60 minute rounds
6. Offer!

This position is for an existing vacancy.

Compensation and Benefits

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

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

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

Along with monetary compensation, Marqeta offers

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

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

ROLE OVERVIEW:

As a Full-Stack Developer, you will architect and build custom web applications across multiple client engagements, owning both the backend API layer and the frontend. A defining aspect of this role is working with AI as a logic layer within applications: integrating LLM APIs for validation, decision-making, classification, and content generation. You make strong technical decisions around authentication, security, state management, and performance, and you bring cloud engineering awareness for edge computing, CDN delivery, and serverless environments. This is not a traditional manual coding role. You orchestrate AI development tools, primarily Claude Code, through strategic prompting and rigorous review, taking full ownership of what ships.

RESPONSIBILITIES

Your key responsibilities will include:

• Architect and build custom web applications using Node.js (Nest.js, Express, Hono), Python (FastAPI, Flask), and Next.js/React.
• Design and build RESTful and/or GraphQL APIs that serve multiple frontends and integrate with third-party services.
• Integrate AI and LLM APIs as a core logic layer, building intelligent features such as validation, classification, content generation, and decision support.
• Implement authentication, authorisation (JWT, OAuth, RBAC), and security across applications.
• Design and manage database layers (PostgreSQL, MongoDB, cloud-managed equivalents), including schema design, migrations, and query optimisation.
• Architect with cloud-native patterns: edge functions, CDN configuration, serverless deployments, and caching strategies.
• Write and maintain automated tests across the full stack: unit (Vitest/Jest), API/integration, component (React Testing Library), and E2E (Playwright/Cypress).
• Orchestrate AI development tools (Claude Code) through strategic prompting, ensuring high-quality, production-ready output.

EXPERIENCE

The ideal candidate will have:

• Strong backend proficiency across Node.js (Nest.js, Express, Hono) and Python (FastAPI, Flask), with TypeScript and Python as working languages.
• Strong Next.js and React experience.
• Experience integrating AI/LLM APIs as an application logic layer: validation, classification, content generation, and decision-making within business workflows.
• Database design and management: PostgreSQL, MongoDB, cloud-managed services (Cloud SQL, RDS, ApsaraDB).
• Authentication and authorisation patterns (JWT, OAuth, RBAC) and API security.
• Cloud engineering: edge functions, CDN configuration, serverless architecture, container orchestration.
• Full-stack test automation: unit, API/integration, component, and E2E testing.
• Performance optimisation: caching, query optimisation, code splitting, monitoring.
• REST and/or GraphQL API design.
• Demonstrated ability to orchestrate AI development tools through strategic prompting and quality oversight.

TECHNOLOGIES

Deep understanding of the following technologies is essential:

• Node.js, TypeScript, Nest.js, Express, Hono, Python, FastAPI, Flask.
• Next.js, React, Tailwind CSS.
• PostgreSQL, MongoDB, cloud-managed database services.
• Authentication: JWT, OAuth, RBAC.
• Cloud and edge: Alibaba Cloud, GCP, AWS, Cloudflare Workers, Vercel Edge, Lambda.
• AI/LLM API integration and orchestration.
• Testing: Vitest/Jest, React Testing Library, Playwright/Cypress, API testing.
• Docker, CI/CD, Git, Claude Code.

PREFERRED QUALIFICATIONS

• Experience in a consulting or agency environment across multiple concurrent client engagements.
• Apollo GraphQL Server for federated or schema-first APIs.
• Event-driven patterns (webhooks, message queues, real-time notifications).
• Multi-model AI strategies (routing between LLMs based on task requirements).
• Graph databases (Neo4j) or vector databases (pgvector, Pinecone).
• Infrastructure as Code (Terraform, Pulumi).
• Export/print workflows (PDF generation, report exports).

WHO YOU ARE

You are a full-stack developer who takes ownership of the complete application, from API design and database schema through to the frontend. You treat security, performance, and data integrity as first-class concerns. You are comfortable working with AI as a logic layer, and you understand cloud-native architecture well enough to make informed decisions about edge computing, caching, and deployment. You thrive in a consulting environment, adapting to new domains and communicating clearly with technical teams and client stakeholders.

WHAT APPNOVATION HAS TO OFFER 

• Challenging and rewarding work with real impact
• Direct Access to Cutting-Edge AI Platforms
• Diverse and Inclusive Culture 
• Growth opportunities for personal and professional development
• A collaborative and innovative work environment where your ideas are valued
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders
• Hybrid working model

Databricks is on a mission to simplify and democratize data and AI — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.

Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.

As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.

What You’ll Do

• Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.
• Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.
• Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.
• Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.
• Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.
• Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.

What We Look For

• 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.
• Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.
• Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
• Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.
• Proven ability to collaborate cross-functionally and deliver impactful user-facing features.
• Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.
• Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.
• Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

ZoomInfo is seeking a Senior Product Manager, Identity to own the intelligence layer that connects digital signals to real-world business outcomes. In this high-impact role, you'll be responsible for the identity resolution engine that de-anonymizes web traffic, links visitors to companies and contacts, and powers products like WebSights and FormComplete.

As a Senior PM, you'll work at the intersection of platform engineering, data science, and customer value creation. You'll drive systematic improvements to visitor-to-person and IP-to-company match rates, integrate new data sources, and ensure identity data flows seamlessly across ZoomInfo's GTM Intelligence Platform. Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers.

What You'll Do:

• Strategic Leadership

  • Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value
  • Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality
  • Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy
  • Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact
  • Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

  Execution Excellence

  • Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution
  • Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience
  • Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection
  • Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance
  • Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

  Cross-Functional Partnership

  • Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products
  • Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment
  • Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making
  • Enable go-to-market teams through training, documentation, and competitive positioning
  • Ensure compliance with global privacy regulations (GDPR, CCPA) and maintain privacy-by-design principles

What You Bring:

• Required Qualifications

  • 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities
  • Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape
  • Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions
  • Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs
  • Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority
  • Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products
  • Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers
  • Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach
  • B2B SaaS experience with enterprise data products, platform products, or GTM tools

  Preferred Qualifications

  • Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems
  • Background in data science, engineering, or analytics prior to product management
  • Experience with customer data platforms, audience targeting, attribution, or cookieless solutions
  • Familiarity with 3rd party data sourcing, evaluation, and integration
  • Experience with probabilistic matching, entity resolution, or graph-based identity systems
  • Knowledge of data privacy regulations and their product implications
  • Experience in sales intelligence, marketing technology, or revenue operations domains
  
  

  Why ZoomInfo?

  • Industry Leader: Power the go-to-market strategies of 35,000+ companies worldwide
  • Data at Scale: Work with one of the largest and most comprehensive B2B databases in the world
  • Innovation Culture: Ship fast, learn faster. We value experimentation and continuous improvement
  • Impact: Your work directly impacts how customers identify and engage their ideal buyers
  • Growth: Join a company that's rapidly expanding product offerings and market leadership
  • Team: Work with world-class product, engineering, data science, and go-to-market teams

#LI-VC1

#LI-Hybrid