BigQuery Jobs in Canada.
All active BigQuery roles based in Canada.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
- Mentor and guide junior data scientists on the team
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 5+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
- Platform experience and a deep understanding of the ads ecosystem
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
- Stay up-to-date on the latest advancements in machine learning and data science
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 3+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.
We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.
We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.
If you love working on complex, real-world ML problems at massive scale, this role is for you.
What You’ll Work On
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:
- Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
- Intelligent advertising systems including ranking, bidding, measurement, and optimization
- Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
- Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
- Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement
You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.
What You’ll Do
- Design, build, and deploy production-grade machine learning models and systems at scale
- Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
- Build scalable data and model pipelines with strong reliability, observability, and automated retraining
- Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
- Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
- Improve system performance across latency, throughput, and model quality metrics
- Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
- Contribute to technical strategy, architecture, and long-term ML roadmap
Basic Qualifications
- 3-5+ years of experience building, deploying, and operating machine learning systems in production
- Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
- ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
- Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
- Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
- Experience improving measurable metrics through applied machine learning
Preferred Qualifications
- Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
- Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
- Experience working with real-time systems and low-latency production environments
- Background in feature engineering, model optimization, and production monitoring
- Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
- Advanced degree in Computer Science, Machine Learning, or related quantitative field
Potential Teams
- Ads Measurement Modeling
- Ads Targeting and Retrieval
- Advertiser Optimization
- Ads Marketplace Quality
- Ads Creative Effectiveness
- Ads Foundational Representations
- Ads Content Understanding
- Ads Ranking
- Feed Relevance
- Search and Answers Relevance
- ML Understanding
- Notifications Relevance
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
About Tailscale
Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
Job Description
We are looking for a high-impact Customer Experience Operations Manager to join our Revenue Operations team. This is a critical, cross-functional role that sits at the intersection of strategy, data, and execution, supporting our global post-sales organization, including Customer Success, Customer Success Engineering, and Support Engineering, to operate at scale and deliver exceptional customer outcomes.
You'll partner closely with CS leadership, Revenue Operations, Finance, and Product to design and run the operational systems, processes, and insights that drive retention, expansion, and customer health across our portfolio. You'll shape how our post-sales teams operate, influence strategic decisions, and directly impact our ability to deliver world-class customer experiences.
If you're energized by building scalable programs, turning messy data into clear insights, and being the operational backbone of a high-growth team, this role is for you.
Key Responsibilities
Run and Scale CS Operations
- Own the operational rhythm of the Customer Experience organization: reporting cadences, QBRs, renewal forecasting, health scoring, capacity modeling, and tooling.
- Design and implement the customer journey alongside Product, Marketing, and other cross-functional partners to ensure proper coverage of customer accounts.
- Define and implement customer health scoring models that incorporate product usage, support signals, and engagement data to surface risk and opportunity proactively.
- Implement automated workflows to process renewals and customer programs at scale.
- Maintain data integrity across post-sales systems (Salesforce, CS Platform, BI tools) to ensure CS, CSE, and Support teams have reliable, actionable data.
Drive Strategy, Planning, and Segmentation
- Partner with post-sales leadership to define customer segmentation, coverage models, and engagement strategies across CS, CSE, and Support Engineering.
- Support annual and quarterly planning, including capacity modeling across all post-sales functions.
- Align post-sales motions with company-level goals including NRR, GRR, product adoption, and support SLAs.
Drive Insights and Program Execution
- Translate data signals into proactive recommendations, surfacing trends in customer health, churn risk, product adoption, and team performance for CS leadership.
- Build and maintain dashboards and reporting across customer health and risk, support performance (SLAs, backlog, resolution time), product adoption and engagement, and retention and expansion metrics.
- Receive feedback from CS, CSE, and Support teams to define and prioritize strategic projects and process improvements.
Own Cross-Functional Programs
- Work cross-functionally with Revenue Operations, Finance, Product, and Marketing to support operational programs aligned to broader organizational strategy.
- Improve handoffs between teams (Sales to CS to Support to Engineering) to ensure a seamless, consistent customer experience.
- Identify tooling and process gaps and own the roadmap to close them, leveraging automation and AI to drive efficiency.
Enable the Post-Sales Team
- Develop and operationalize lifecycle programs and playbooks across CS, CSE, and Support covering onboarding, success plans, risk mitigation, escalations, expansion, and renewals.
- Act as the primary point of contact for post-sales tooling, including CS platform administration, Salesforce integrations, and BI reporting.
What We Are Looking For
Experience
- 5 to 8+ years of experience in Customer Success Operations, Revenue Operations, or a related GTM operations role, preferably in a high-growth B2B SaaS environment.
- Proven experience designing and executing programs that scale, from ideation through implementation and measurement.
- Experience supporting multi-functional post-sales teams (Customer Success, Customer Success Engineering, Support Engineering, Renewals, or Professional Services) is strongly preferred.
- Track record of working cross-functionally and building trust with stakeholders across CS, Sales, Finance, and Product.
- Experience with renewal operations and post-sales GTM motions including expansion and professional services.
Technical Skills
- Strong working knowledge of Salesforce (required) and a CS platform such as Gainsight, Planhat, or Totango.
- Proficiency with BI and analytics tools such as Looker, with the ability to build reports and dashboards independently.
- Familiarity with support tooling such as Jira Service Management.
- Familiarity with SQL or BigQuery is a strong plus; data fluency is essential.
- Familiarity with AI-driven tooling or workflow automation platforms to improve post-sales productivity and scale customer programs.
Mindset and Ways of Working
- Systems thinker who can connect workflows across CS, CSE, Support, and Revenue teams.
- Strong analytical skills with the ability to build and interpret complex data, identify the key insights, and communicate them clearly to any audience.
- Customer-first orientation with a genuine passion for improving the post-sales experience through better process and tooling.
- Proven ability to lead strategic initiatives while executing hands-on in a fast-paced, evolving environment.
- Highly collaborative with strong stakeholder management skills and the ability to influence without authority.
- Comfortable operating in ambiguity and building from scratch as the organization grows.
- Excellent written and verbal communication skills with the ability to manage multiple workstreams simultaneously.
Nice to Have
- Experience in a high-growth startup environment.
- Familiarity with product usage analytics tools such as Amplitude or Pendo.
- Experience with PLG or hybrid sales motions.
- Experience building or maturing a CS Operations function from scratch.
- Background working closely with Engineering or Support organizations.
What Success Looks like
- A unified, seamless experience across CS, Customer Success Engineering, and Support Engineering, with clear ownership and consistent handoffs at every stage.
- Customer segmentation and coverage models that are well-defined, actively maintained, and aligned to company growth goals.
- Scalable systems and processes that measurably improve team efficiency and reduce manual work across post-sales functions.
- Leadership has clear, real-time visibility into customer health, risk, support performance, and expansion opportunity.
- Measurable improvements in Net Revenue Retention (NRR) and Gross Revenue Retention (GRR).
- Improved customer satisfaction as reflected in CSAT and NPS scores.
- Faster time-to-resolution and stronger support SLA performance across Support Engineering.
- Strong cross-functional alignment between post-sales, Product, and Sales that accelerates both retention and expansion.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!
What We Offer
- An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
- A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
- Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
- Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
- Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, and the United Kingdom. We support intentional in-person connection through team travel and distributed collaboration.
- Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
- Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
- A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $1000 USD to customize your workstation to make it your own.
- Generous parental leave program from your first day. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups for up to 26 weeks.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness.
Ready to apply?
Apply to Tailscale
About Tailscale
Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
Job Description
We are looking for a high-impact Customer Experience Operations Manager to join our Revenue Operations team. This is a critical, cross-functional role that sits at the intersection of strategy, data, and execution, supporting our global post-sales organization, including Customer Success, Customer Success Engineering, and Support Engineering, to operate at scale and deliver exceptional customer outcomes.
You'll partner closely with CS leadership, Revenue Operations, Finance, and Product to design and run the operational systems, processes, and insights that drive retention, expansion, and customer health across our portfolio. You'll shape how our post-sales teams operate, influence strategic decisions, and directly impact our ability to deliver world-class customer experiences.
If you're energized by building scalable programs, turning messy data into clear insights, and being the operational backbone of a high-growth team, this role is for you.
Key Responsibilities
Run and Scale CS Operations
- Own the operational rhythm of the Customer Experience organization: reporting cadences, QBRs, renewal forecasting, health scoring, capacity modeling, and tooling.
- Design and implement the customer journey alongside Product, Marketing, and other cross-functional partners to ensure proper coverage of customer accounts.
- Define and implement customer health scoring models that incorporate product usage, support signals, and engagement data to surface risk and opportunity proactively.
- Implement automated workflows to process renewals and customer programs at scale.
- Maintain data integrity across post-sales systems (Salesforce, CS Platform, BI tools) to ensure CS, CSE, and Support teams have reliable, actionable data.
Drive Strategy, Planning, and Segmentation
- Partner with post-sales leadership to define customer segmentation, coverage models, and engagement strategies across CS, CSE, and Support Engineering.
- Support annual and quarterly planning, including capacity modeling across all post-sales functions.
- Align post-sales motions with company-level goals including NRR, GRR, product adoption, and support SLAs.
Drive Insights and Program Execution
- Translate data signals into proactive recommendations, surfacing trends in customer health, churn risk, product adoption, and team performance for CS leadership.
- Build and maintain dashboards and reporting across customer health and risk, support performance (SLAs, backlog, resolution time), product adoption and engagement, and retention and expansion metrics.
- Receive feedback from CS, CSE, and Support teams to define and prioritize strategic projects and process improvements.
Own Cross-Functional Programs
- Work cross-functionally with Revenue Operations, Finance, Product, and Marketing to support operational programs aligned to broader organizational strategy.
- Improve handoffs between teams (Sales to CS to Support to Engineering) to ensure a seamless, consistent customer experience.
- Identify tooling and process gaps and own the roadmap to close them, leveraging automation and AI to drive efficiency.
Enable the Post-Sales Team
- Develop and operationalize lifecycle programs and playbooks across CS, CSE, and Support covering onboarding, success plans, risk mitigation, escalations, expansion, and renewals.
- Act as the primary point of contact for post-sales tooling, including CS platform administration, Salesforce integrations, and BI reporting.
What We Are Looking For
Experience
- 5 to 8+ years of experience in Customer Success Operations, Revenue Operations, or a related GTM operations role, preferably in a high-growth B2B SaaS environment.
- Proven experience designing and executing programs that scale, from ideation through implementation and measurement.
- Experience supporting multi-functional post-sales teams (Customer Success, Customer Success Engineering, Support Engineering, Renewals, or Professional Services) is strongly preferred.
- Track record of working cross-functionally and building trust with stakeholders across CS, Sales, Finance, and Product.
- Experience with renewal operations and post-sales GTM motions including expansion and professional services.
Technical Skills
- Strong working knowledge of Salesforce (required) and a CS platform such as Gainsight, Planhat, or Totango.
- Proficiency with BI and analytics tools such as Looker, with the ability to build reports and dashboards independently.
- Familiarity with support tooling such as Jira Service Management.
- Familiarity with SQL or BigQuery is a strong plus; data fluency is essential.
- Familiarity with AI-driven tooling or workflow automation platforms to improve post-sales productivity and scale customer programs.
Mindset and Ways of Working
- Systems thinker who can connect workflows across CS, CSE, Support, and Revenue teams.
- Strong analytical skills with the ability to build and interpret complex data, identify the key insights, and communicate them clearly to any audience.
- Customer-first orientation with a genuine passion for improving the post-sales experience through better process and tooling.
- Proven ability to lead strategic initiatives while executing hands-on in a fast-paced, evolving environment.
- Highly collaborative with strong stakeholder management skills and the ability to influence without authority.
- Comfortable operating in ambiguity and building from scratch as the organization grows.
- Excellent written and verbal communication skills with the ability to manage multiple workstreams simultaneously.
Nice to Have
- Experience in a high-growth startup environment.
- Familiarity with product usage analytics tools such as Amplitude or Pendo.
- Experience with PLG or hybrid sales motions.
- Experience building or maturing a CS Operations function from scratch.
- Background working closely with Engineering or Support organizations.
What Success Looks like
- A unified, seamless experience across CS, Customer Success Engineering, and Support Engineering, with clear ownership and consistent handoffs at every stage.
- Customer segmentation and coverage models that are well-defined, actively maintained, and aligned to company growth goals.
- Scalable systems and processes that measurably improve team efficiency and reduce manual work across post-sales functions.
- Leadership has clear, real-time visibility into customer health, risk, support performance, and expansion opportunity.
- Measurable improvements in Net Revenue Retention (NRR) and Gross Revenue Retention (GRR).
- Improved customer satisfaction as reflected in CSAT and NPS scores.
- Faster time-to-resolution and stronger support SLA performance across Support Engineering.
- Strong cross-functional alignment between post-sales, Product, and Sales that accelerates both retention and expansion.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic!
What We Offer
- An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
- A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
- Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!
- Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
- Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, and the United Kingdom. We support intentional in-person connection through team travel and distributed collaboration.
- Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
- Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
- A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $1000 USD to customize your workstation to make it your own.
- Generous parental leave program from your first day. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups for up to 26 weeks.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness.
Ready to apply?
Apply to Tailscale
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the Role
We’re looking for a Staff Data Engineer to define the architecture and long-term evolution of Syndio’s data platform as we scale into AI-driven products.
This role owns the technical direction for how data is structured, standardized, modeled, and activated across the company, with a particular focus on enabling LLM-powered systems and decisioning workflows.
You will design, architect, and build data pipelines that produce the data products powering analytics, product experiences, and Syndio's LLM-powered systems. Your work will shape how data is used across the company and enable the development of Syndio's decision graph and AI capabilities. This includes solving complex challenges such as multi-tenant schema standardization, automated field mapping, retrieval-ready data modeling, and data pipelines for AI evaluation and feedback loops.
You will operate across pipeline architecture, platform design, and cross-functional data strategy, partnering closely with product, data science, and engineering leadership.
Why This Job is Exciting
- Define the data architecture behind AI for Pay Decisions and future decisioning systems
- Build the data foundation that powers LLM-based features, including the pipelines that feed retrieval, context generation, and evaluation workflows
- Own high-leverage problems like automated schema mapping and multi-tenant data standardization
- Establish standards for data contracts, modeling, and pipeline architecture across teams
- Design data governance into the platform through policy tagging, PII handling, and lineage tracking
- Build pipelines that support both batch analytics and the event-driven data flows behind AI workflows
- Shape how data is structured, delivered, and made reliable for stakeholders across Syndio, from analytics and product teams to the teams training and evaluating AI systems
About You
- Deep experience in data engineering, data platform, or distributed systems roles
- Proven track record designing and scaling data pipelines across teams or organizations
- Experience solving ambiguous, high-impact platform problems and building systems widely adopted across teams
- Strong ability to operate at both architectural and hands-on levels
- Cross-functional leadership and ability to influence technical direction
Required Areas of Deep Expertise
- Data modeling and schema design
- Pipeline architecture and orchestration
- Data warehouse and storage systems
Technical Experience
- Strong proficiency in Python and SQL
- Experience with data patterns for AI/LLM systems: retrieval-ready data modeling, vector storage, embedding pipelines, and evaluation datasets
- Cloud platforms: GCP (preferred), AWS, or Azure
- Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar
- Data transformation: dbt or equivalent modern transformation frameworks
- Relational databases: Postgres, MySQL, or similar
- Streaming and CDC ingestion patterns (Datastream, Debezium, Kafka, or similar)
- Data governance and lineage tooling
Nice to Have
- Experience building AI-native data platforms or developer tooling
- Experience with event-driven or streaming architectures
- Background in high-scale systems or large multi-tenant SaaS platforms
- Familiarity with compensation or HR data domains
How we work:
- We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.
- Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration. Relocation is not currently offered.
- Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time.
Why you'll love it here:
- 💰 Competitive Compensation. For this role our base salary is targeted at $180-195k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
- 🏆 Syndio Equity. So you can share in Syndio’s success.
- 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
- 🏦 Pension Contribution
- 📍 Remote-First with opportunities for local meet-ups in Calgary #LI-Remote
Role Progression:
- By the 3rd Month, you will have a working knowledge of Syndio's data domain and existing pipeline architecture. You'll be making hands-on contributions to the data layer codebase, building familiarity with the systems you'll eventually evolve.
- By your 6th Month, you will take technical ownership of the AI data infrastructure, defining the architectural direction for how data is modeled and served to AI systems. You'll establish company-wide standards for data contracts and pipeline architecture, and lead solutions for our hardest data standardization challenges.
- By 9 months in, you will set the long-term technical direction for Syndio's data platform and AI-driven systems, with a focus on governance, PII handling, and lineage. As the SME, you'll mentor other engineers and break down complex platform initiatives for the team to execute.
The Interview Overview:
Below you'll find an outline of the interview plan for our Staff Data Engineer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min - Phone call with a member of our Talent Team
- 45 min - Zoom interview with the Hiring Manager
- Technical Evaluation - Take-home
- 1.5 hrs - Meet the Team
- 30 min - Final Interview
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
As a Sr. Software Engineer on the Tel Core team, you are the steward of our media engine’s evolution. You will bridge the gap between high-level product goals and technical execution, ensuring our telephony stack remains resilient as we scale. You’ll mentor peers and shape the long-term roadmap while fostering a culture of engineering excellence. Your success is defined by the seamless, high-quality audio experience of millions of users.
This position reports to an Engineering Manager in the Telephony Core team and has the opportunity to be based in either Vancouver or Kitchener, Canada locations
We don’t mind if you come from a different engineering background or haven’t worked in real-time media before. Just be excited to learn, to contribute to the team, and to build a fast, reliable, elegant product that delights our customers.
What you’ll do
- Maintain and modernize the real-time services that run on the Telephony Engines. Architect backend libraries and APIs to integrate with the broader Telephony Platform.
- Build and optimize low-latency media pipelines for voice and video—tuning codecs, RTP flows, and congestion-control behavior to deliver consistently clear conversations over unreliable networks.
- Investigate and resolve complex production issues across PSTN, WebRTC, and carrier boundaries using Telephony Engine logs, PCAPs, observability tools, and data-driven experimentation.
- Run load, failover, and regression tests on Telephony Engines and backend services to validate scalability, resilience, and capacity limits
- Partner with Tel Cloud, Tel Edge, Calling, and AI teams to design end-to-end call flows and integrations
- Participate in on-call and release rotations, owning Terraform- and GKE-backed rollouts, monitoring health, and driving follow-ups that continuously make the platform safer and easier to operate.
- Shape the Tel Core roadmap by turning broad epics into clear designs and mentoring other engineers.
Skills you’ll bring
- Bachelor's degree in Computer Science or equivalent practical experience.
- 5+ years of software engineering experience, including owning substantial production backend systems in a SaaS or real‑time communications environment.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Deep expertise in C/C++ and Python.
- Experience with (or strong interest in learning) SIP, WebRTC, RTP/RTCP, DTLS/SRTP, and media codec negotiation in a production setting.
- Experience troubleshooting and improving real‑time media quality (e.g., jitter, packet loss, choppy audio, codec issues) is a strong plus.
- Comfortable working on KTLO (bugs, refactors, upgrades) as well as strategic roadmap items, and using data to prioritize impact.
- A deep understanding of reliability engineering, including the ability to build observability into services, eliminate performance bottlenecks, and manage the lifecycle of safe software releases.
- A strong sense of urgency, personal agency, and customer empathy.
- Passion for data driven decisions, building resilient systems, and solving classes of problems.
Our tech stack
- C, C++, Python, Go, Lua.
- Kubernetes, Redis, ElasticSearch, BigQuery.
- Google Cloud Platform: Cloud Run, GKE, Datastore, Pub/Sub.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Company Background
Censys’ mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry’s most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global governments, over 50% of the Fortune 500, and leading threat intelligence providers worldwide.
Location:
This is a fully remote position within the United States or Canada.
Role Summary:
We’re looking to hire a Senior Backend Software Engineer to join our team. In this capacity, you will contribute to the development of specialized tools for threat hunters, SOC analysts, and incident response professionals within the Censys Platform. Your responsibilities will involve advancing our Adversary Investigation module by architecting resilient APIs and scalable microservices for our SaaS infrastructure. By collaborating with engineering and product partners, you will transform intricate needs into sustainable software that delivers vital security intelligence. Your work will empower users to navigate the global Internet, identify emerging threats, and strengthen their organizational defenses.
What You’ll Do:
- Architect and refine robust backend services to drive the capabilities of the Adversary Investigation module
- Collaborate cross-functionally with Product, Design, and Frontend teams to create high-impact solutions for our customers
- Maintain end-to-end ownership of the development cycle, from automating builds and testing to deployment and ongoing monitoring
- Facilitate data-intensive user experiences by integrating both internal systems and external APIs
- Engage in a fast-paced, iterative environment focused on technical excellence and proactive feedback loops
What You’ll Bring:
- 5+ years of professional experience building distributed web applications and APIs
- Experience with building microservices in GO (2+ years)
- Experience with at least one cloud provider, like GCP, AWS, or Azure
- Familiarity with Docker and interest in improving our CI/CD deployment process
- Desire to improve test coverage and increase code maintainability
- The ability to thoughtfully participate in technical discussions and drive towards data-driven decisions amidst ambiguity and competing priorities.
- Strong communication and documentation skills. Explaining complex technical concepts to other engineers, designers, salespeople, and content marketers is no problem for you.
What Sets You Apart:
- Familiarity with a gRPC or REST
- Experience with microservice-based designs with GCP PubSub, Kafka or other
- Experience with different databases, like: Redis, BigTable, BigQuery, Postgres
- Experience building, deploying, and maintaining containerized services in a Kubernetes
- Familiarity with other web technologies such as TypeScript, JavaScript, and proficiency with React is a plus
- You understand the value of building maintainable software. Some of your first tasks when building a new service are ensuring test coverage enforced by CI, adding linters, and adding code complexity checks. You enjoy a good abstraction, and promote established design patterns, but also know when to think outside the box.
For high cost of living areas (San Francisco Bay, New York City, and Seattle), the expected salary range for this position is $173,000 USD - $206,000 USD, plus bonus eligibility and equity.
For all other US locations, the expected salary range for this position is $151,000 USD - $192,000 USD, plus bonus eligibility and equity.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 83% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Censys offers a competitive benefits package to employees, including equity, health, dental & vision coverage, retirement with company contribution, parental leave, mental health & wellness benefits, flexible PTO, and a professional development stipend. Censys also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Censys’s compensation and benefits are subject to change and may be modified in the future. Please see our careers page for more details.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to your recruiter. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates to keep their cameras on during video interviews. Additionally, if hired, we would love to bring you to our HQ in Ann Arbor for in-person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with our Censys Privacy Policy.
Our roots are in Ann Arbor, Michigan and our innovation is fueled by the team’s global perspectives. For this role, we are open to remote employees across the continental US. We value diversity and are committed to creating an inclusive environment for all employees. Censys is an equal opportunity employer.
Note to external recruiters/agencies: We are not currently engaging with third-party agencies for this role and will not accept unsolicited outreach. We kindly ask that you do not submit resumes or candidate profiles to our team.
California Privacy Rights Notice
Pursuant to the California Consumer Privacy Act (CCPA), we are providing you with notice that we collect personal information from job applicants for business purposes, including evaluating your candidacy for employment, conducting interviews, and, if applicable, completing the hiring process. The categories of information we may collect include identifiers (such as name and contact information), professional or employment-related information (such as work history, education, and references), and other information you provide in your application. We do not sell or share your personal information. For more information on how we use and protect your personal information, and your rights under the CCPA, please refer to our Privacy Policy.
Ready to apply?
Apply to Censys
Staff AI Engineer | Canada | Remote
Share this job
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.
Staff AI Engineer
The Opportunity:
Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You’ll Be Doing:
Agentic Tool Development
- Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
- Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
- Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
- Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
- Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
- Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
- Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
- Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Manufacturing
- Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
- Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
- Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit / Requirements:
- 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
- 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
- Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
- Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
- Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
- You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
- Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
- Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
- Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
- Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
- Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points For:
- Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
- Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
- Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
- Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
- Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
- Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
- Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
- Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
- Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD 186,368 - CAD 230,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
Ready to apply?
Apply to Grafana Labs
Staff AI Engineer | US | Remote
Share this job
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.
Staff AI Engineer
The Opportunity:
Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You’ll Be Doing:
Agentic Tool Development
- Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
- Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
- Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
- Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
- Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
- Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
- Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
- Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Manufacturing
- Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
- Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
- Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit / Requirements:
- 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
- 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
- Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
- Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
- Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
- You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
- Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
- Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
- Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
- Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
- Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points For:
- Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
- Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
- Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
- Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
- Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
- Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
- Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
- Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
- Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD 174,986 - USD 220,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.
All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.
Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
Ready to apply?
Apply to Grafana Labs
Data Scientist Intern, Geotab Ace (Fall/September 2026, 8+ Months)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.
The opportunity:
- 8+ month work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
- Multi-Modal Ingestion: Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.
- Contextual Enrichment: Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.
- Proactive Assistance & Navigation: Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.
- Optimization of RAG & SQL Generation: Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.
What you'll bring to the role:
- Graduate or Postgraduate Degree in Computer Science, Software/Electronics/Electrical Engineering, or any related field.
- Excellent understanding of Python and SQL.
- Experience with parallelization tools like Apache Beam and Spark, and scheduling tools like Airflow is nice to have.
- Advanced pattern recognition and predictive modeling or Graph Data Modeling experience is a bonus.
- Experience with developing machine learning models and in feature engineering is a plus.
- Experience working with Google Compute Engine and Google BigQuery is nice to have.
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Internship List
Vehicle Systems Engineering Intern (Fall/September 2026, 8 Months)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Vehicle Systems Engineering Intern who will focus on growing Geotab's world class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and python, built big data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in house CAN analysis software, helped diagnose vehicle issues… the list goes on! You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.
To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
The opportunity:
- 8 month work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols
- Document and design methods to collect data from vehicles in a way that is digestible by Geotab's hardware and software teams
- Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling
- Use Cloud-based data warehouses (e.g. BigQuery and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products
- Assist in the product development cycle through proof of concepts and the execution of beta testing
What you'll bring to the role:
- Pursuing a Degree/Diploma in Computer Science, Math, Software Engineering or a related field.
- CAN and CAN bus related experience is an asset
- General code gurus with a knack for picking up new languages
- Useful Languages: C#, Python, SQL, MATLABOther useful software experience: CANalyzer, Simulink Multidisciplinary background
- Good understanding of vehicle architectures, including hybrid/ electric vehicles
- Hands-on vehicle experience is an asset (Can you diagnose a problem with your car?)
- Self- starterResults- orientedStrong time management skills
- Fantastic communication skillsInterest in new mobility technologies, telematics and vehicles
- Experience or interest in hybrid and electric vehicles and/or green technologies is an asset
- Must have a valid driver’s license
How we work:
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
Ready to apply?
Apply to Internship List
Embedded Developer Intern, Security (Fall/September 2026, 12 Months)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Embedded Developer Intern who will assist in further developing our telematics device as well as assisting in the development of the next generation of telematics devices. If you love technology, and are keen to join an industry leader - we would love to hear from you!
What you'll do:
As an Embedded Developer Intern your key area of responsibility will be designing, writing, and testing C, C++, and Rust code for Geotab’s GO telematics devices. This position also maintains and improves testing tools and processes, ensuring that new releases perform as expected. You will need to work closely with other Embedded Systems developers, engineers, and internal technical teams in determining the architecture and constraints of the project.
To be successful in this role you will have a keen eye for the details to consistently adhere to coding standards and perform peer QA and code reviews. Being inquisitive and constantly looking for a new technical challenge or to use a new tool will also contribute to your success. In addition, the successful candidate will have strong communication skills, in their technical documentation, collaboration with teammates, and with providing technical support to other Geotab teams.
The opportunity:
- 12 month work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Develop an in-depth understanding of the GO device firmware and how all the modules work.
- Perform firmware development in C for security features or modules adjacent to security features such as connectivity, memory and firmware updates.
- Write unit tests and perform integration and system-level testing in both real and simulated vehicles, to demonstrate that new features meet design requirements.
- Write SQL queries and Python scripts on data from Google BigQuery to determine device health and effectiveness of new functionality.
- Conduct comprehensive testing and code reviews to ensure that industry coding standards are followed.
- Debug firmware issues and identify areas for code improvements.
- Keep up-to-date documentation for all areas of responsibility.
What you'll bring to the role:
- Completing a Bachelor’s degree in Electrical, Mechatronics, Computer Engineering or a related field.
- Familiarity with programming languages (C/C++) in an embedded software context.
- Familiarity with modern scripting languages (e.g. bash, Python, TCL, etc.) is highly valued.
- Familiarity with SQL is an asset.
- Exposure and/or experience with RTOS and Linux.
- Experience in hands-on development and troubleshooting on embedded targets.
- Familiarity with encryption or cryptographic algorithms.
- Understanding of underlying electronics to the point where it influences firmware development and debugging.
- Familiar with data structures, algorithms, and design patterns common to embedded (resource-constrained) systems development.
- Strong verbal and written communication skills, ability to communicate and document complex technical systems and decisions.
- Highly organized and able to manage multiple tasks and projects simultaneously.
- Entrepreneurial mindset and comfortable in a flat organization.
How we work:
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
Ready to apply?
Apply to Internship List
Data Analyst Intern, Customer Success Operations (Fall/September 2026, 12 Months)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analytics Intern to support the CS Operations team within Revenue Operations. In this role, you will work directly with the Manager of CS Operations to build, maintain, and analyze the data systems that power how Geotab manages retention, customer health, and expansion across its global customer base. If you love turning raw data into actionable insight and want hands-on experience with a real-world customer analytics problem, we would love to hear from you!
What you'll do:
As a Data Analytics Intern in CS Operations, you will support the design, validation, and maintenance of data pipelines and reporting models that drive how Geotab's Customer Success team operates. You will work closely with the Manager of CS Operations, the Revenue Operations Data & Analytics team, and the Salesforce Systems team. The successful candidate is a curious, detail-oriented problem solver who is comfortable with ambiguity, eager to learn, and can translate data into clear, useful outputs for both technical and non-technical audiences.
The opportunity:
- 12 month work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Collaborate with colleagues from the Revenue Operations Data & Analytics team and other business functions to drive customer success outcomes
- Ensure data quality throughout all stages including data sourcing, normalization, transformation, and validation
- Support data and analytics projects as directed by the supervisor, contributing to reporting, modeling, and data infrastructure work
- Promote data-driven decision-making across the Customer Success team by translating data into clear, actionable outputs for both technical and non-technical stakeholders
- Provide leaders with data insights to support decisions and improve the consistency and usability of data across teams
What you'll bring to the role:
- Pursuing a degree in STEM, Data Science, Data Analytics, Business Analytics, or a related field of study in progress
- Hands-on experience with SQL — ability to write, read, and debug queries independently
- Exposure to Google BigQuery or a similar cloud data warehouse is a strong asset
- Familiarity with Salesforce as a data source (report building, object structure) is an asset
- Experience with data visualization tools such as Superset, Tableau, or Looker
- Proficiency in Google Sheets, including formulas, pivot tables, and data structuring
- Strong analytical thinking — able to question data, spot anomalies, and communicate findings clearly
- Strong written and verbal communication skills — you'll be sharing data outputs with non-technical stakeholders
- Self-directed and comfortable working in a fast-moving, greenfield environment with evolving priorities
How we work:
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
Ready to apply?
Apply to Internship List
Data Analyst Intern, Data & AI Enablement (Fall/September 2025, 8+ Months)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst Intern who will work to help utilize vast datasets to draw meaningful insights and solve business problems. This internship position will analyze and mine business data to identify correlations and discover patterns from various data points. If you love technology, and are keen to join an industry leader - we would love to hear from you!
What you'll do:
As a Data Analyst Intern your key area of responsibility will be to assist with the design and maintenance of data systems and databases using statistical tools to interpret data sets. On a typical day, you will work closely with your direct supervisor, other interns in the same department, as well as other teams within the business. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and others.
The opportunity:
- 8+ month work-term beginning September 2026.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- Collaborating with colleagues from the Data and Analytics team plus other functions of the business to drive results.
- Build and review statistical, predictive and machine learning models to drive sourcing accuracy.
- Ensure data quality throughout all stages including data sourcing/collection, generation, normalization, and transformation.
- Engage in automotive engineering research projects as requested by the supervisor.
- Promote data-driven decision-making across the team, using tools such as SQL, and Google Sheets.
- Provide leaders with insight in order to make data decisions to provide the most consistent and usable data for all teams across the company.
What you'll bring to the role:
- Pursuing a Degree in Computer Science, Math, Software Engineering or a related field.
- Technical experience using SQL, Python or Google BigQuery is an asset.
- Some knowledge of data mining/data warehousing, data modeling, statistical analysis, database management, reporting, and data analysis.
- Experience with developing machine learning models and in feature engineering is an asset.
- Some knowledge of data visualization tools (e.g. Superset, Tableau).
- Strong communication, organization, analytical, and time management skills, as well as a willingness to learn and a strong work ethic.
- Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
How we work:
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.
Ready to apply?
Apply to Internship List
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist who will assist in the design and construction of Geotab's data mining and model building processes from vast amounts of raw data. This position collaborates with internal technical teams in analyzing trends to make improved decision-making in producing effective customer-facing products. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Data Scientist, your key area of responsibility will be designing and constructing Geotab’s data modeling processes, creating algorithms and predictive models to solve complex business problems, and generating queries from Big Data Infrastructure. You will also be responsible for developing Machine Learning models, testing product performance, and maintaining reports and dashboards to drive key business decisions. You will need to work closely with Geotab’s internal technical teams to gather requirements and ensure data-driven products meet expectations.
To be successful in this role you will be a strong team-player with an entrepreneurial mindset who is comfortable in a flat organization and able to engage with all levels of the organization. In addition, the successful candidate will have strong analytical and problem-solving skills with high accuracy and meticulous attention to detail. The successful candidate will also be highly organized and able to manage multiple tasks and projects simultaneously to ensure timely results.
How you'll make an impact:
-
Design and construct Geotab’s data modeling processes.
-
Create algorithms and predictive models to extract information required to solve complex business problems.
-
Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
-
Use Machine Learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
-
Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
-
Collaborate with internal technical teams to gather requirements.
-
Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
-
Support a platform providing ad-hoc and automated access to large dataset.
What you'll bring to the role:
- 1-5 years experience as a Data Scientist or a similar role.
-
Post-secondary Degree/Diploma with specialization in Mathematics, Computer Science, Statistics, or a related field.
-
Thorough knowledge of programming languages (e.g. Python, SQL, C++) and Big Data tools like Google BigQuery.
-
Experience with machine learning techniques (Scikit-learn, Tensorflow) and business intelligence tools (Tableau).
-
Strong analytical skills with the ability to problem solve and make well-judged decisions.
-
Highly organized and able to manage multiple tasks and projects simultaneously in a fast-paced environment.
-
Excellent technical competence using software programs, including Google Suite for business.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Data Platform Developer - AI Platform
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab’s data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.
How you'll make an impact
- Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
- Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab’s AI platform infrastructure.
- Develop processes to enrich Geotab’s big data with telematics data at scale.
- Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
- Create and maintain documentation for architecture, requirements, and process flows.
- Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
- Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
- 3-5 years experience in a software developer or a similar role.
- 3-5 years experience in developing production-level systems using Python 3.
- 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
- 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
- Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
- Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
- Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
Why job seekers choose Geotab
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Data Scientist
Share this job
Who we are:
Who you are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist who will design and build production-ready analytics systems that extract actionable insights from video, image, and sensor data. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you’ll do
As a Senior Data Scientist, your key area of responsibility will be evaluating and integrating Vision Language Models (VLMs) into scalable cloud-based processing pipelines, developing robust evaluation frameworks to measure model quality across diverse product use cases, and optimizing end-to-end inference performance for cost, latency, and accuracy. You will need to work closely with Geotab’s product and platform teams to deliver computer vision features across safety, compliance, and geospatial applications.
To be successful in this role, you will be a strong team-player with an adaptive mindset to stay current with the rapidly evolving multi-modal AI landscape and the ability to engage effectively at all organizational levels. In addition, the successful candidate will have strong project management and analytical skills, with the ability to identify needs, develop effective solutions, and manage projects from research through production deployment.
How you’ll make an impact:
- Lead the research, evaluation, and integration of Vision Language Models (VLMs) and foundation models to extract actionable insights from video, image, and telematics data.
- Design experimentation frameworks to systematically benchmark model performance across accuracy, precision, recall, and domain-specific quality metrics.
- Develop prompt engineering and fine-tuning strategies for multi-modal reasoning tasks, optimizing for visual understanding in real-world operational environments. Build scalable evaluation methodologies that replace manual labeling with automated, data-driven assessment approaches.
- Combine video, image, and telematics data to develop contextual models that enrich visual insights with sensor telemetry, vehicle dynamics, and geospatial signals.
- Collaborate with cross-functional product teams to translate business problems into well-scoped data science solutions, from hypothesis through production deployment.
- Partner with engineering teams to ensure models are production-ready, balancing inference cost, latency, and accuracy at scale.
- Stay current with advances in vision-language model research and drive adoption of emerging techniques into the product portfolio.
- Mentor team members on best practices for vision model evaluation, prompt engineering, and pipeline development. Maintain comprehensive documentation of pipeline architectures, evaluation methodologies, and experimental results.
What you’ll bring to this role:
- 5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.
- Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).
- Proven experience building and deploying computer vision or video analytics pipelines in production environments using Python.
- Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and cloud-based inference infrastructure (e.g., Ray, Vertex AI, or Azure). Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark).
- Experience with evaluation framework design, including ensemble voting approaches and ground truth management.
- Excellent communication skills for effective collaboration across product, platform, and data science teams
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
AI Agent Developer
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an AI Agent Developer who will design, build, and maintain AI-powered "skills" — modular, executable agents that integrate with enterprise systems and surface through a shared internal agent platform. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As an AI Agent Developer, your key area of responsibility will be contributing to both the core platform and the growing ecosystem of agents deployed across the organization, and playing a meaningful role in shaping the standards and practices that enable other teams to build their own agents. You will need to work closely with business units to identify high-value automation opportunities, as well as collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails.
To be successful in this role you will be a self-directed communicator who is comfortable operating with autonomy in a fast-moving, platform-oriented environment and able to explain agent capabilities to both technical and non-technical stakeholders. In addition, the successful candidate will have sound software engineering fundamentals with the ability to scope ambiguous problems, ship iteratively, and balance quality with delivery speed to ensure timely results.
How you'll make an impact:
- Design and build production AI agent skills in Go (and Python where appropriate), following established skill architecture patterns and platform conventions.
- Integrate agents with enterprise systems including data warehouses, ticketing systems, source control, observability platforms, and internal APIs.
- Contribute to the core agent platform: runtime management, skill lifecycle, credential handling, multi-model AI support, and build tooling.
- Define and enforce best practices for skill development, packaging, distribution, and CI/CD — and help other teams adopt them.
- Partner with business units to identify high-value automation opportunities and translate them into well-scoped, production-ready agent solutions.
- Maintain the skill ecosystem: versioning, dependency management, cross-platform compilation, and runtime distribution.
- Build tooling and documentation that empowers other developers to contribute skills and reduce the burden on the core team.
- Monitor deployed agents, gather user feedback, instrument performance, and drive continuous improvement cycles.
- Collaborate with security, compliance, and data governance teams to ensure agents operate within established guardrails.
- Stay current with LLM capabilities, prompt engineering advances, agentic frameworks, and relevant open-source tooling — and evaluate their applicability to the platform.
- Contribute to the internal AI agent developer community through knowledge sharing, workshops, and direct guidance to other teams.
What you'll bring to this role:
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
- 4+ years of software engineering experience; hands-on experience in Go is strongly preferred, with Python as a secondary language.
- Demonstrated experience building and deploying AI-driven applications, automations, or agents, including experience with LLM APIs (Claude, Gemini, GPT, or similar).
- Solid understanding of CLI tooling, binary distribution, and cross-platform build systems.
- Experience with enterprise system integration via REST APIs (Jira, GitLab, BigQuery, Salesforce, etc.).
- Familiarity with agentic patterns: tool use, multi-step reasoning, context management, prompt engineering, and output validation
- Strong communication skills with a genuine enthusiasm for AI and its practical application to real business problems.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Cloud Automation Engineering
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Cloud Automation Engineer who will be responsible for managing and monitoring the performance of the server infrastructure on the public cloud—specifically Google Compute Engine—as part of the Cloud Automation team. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you’ll do:
As a Senior Cloud Automation Engineer, your key area of responsibility will be creating automated infrastructure management systems, written primarily in Python and Powershell, while overseeing complex Cloud Automation/DevOps projects. You will be responsible for the implementation of the project tasks, such as designing and building software to maintain IaaS solutions, as well as managing day-to-day activities like system-level tuning and debugging. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with internal technical teams, such as Software, Engineering Support, and Database Administration, as well as collaborate in a cross-functional team with senior engineers.
To be successful in this role you will be a strong team-player with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How you’ll make an impact:
-
Design and build software to deploy, configure, and maintain IaaS solutions for internal and customer-facing applications.
-
Build out automation tools and work with public cloud APIs to enhance infrastructure efficiency.
-
Review Cloud Automation/DevOps monitoring tools and develop rapid detection and response systems.
-
Perform system-level tuning and debugging in public cloud or containerized environments.
-
Create and maintain documentation regarding configuration, processes, and security while contributing to the departmental WIKI.
-
Utilize Big Data tools for large-scale log collection, analysis, and dashboard creation.
What you’ll bring to this role:
-
5+ years of experience in software development.
-
Specialized expertise in programming languages (Python, C#, or Java) and scripting languages (Powershell or Bash).
-
Proven experience with cloud computing platforms such as GCP, AWS, or Azure.
-
Working knowledge of databases, SQL, and Big Data tools; experience with Postgres or Google BigQuery is a strong asset.
-
Highly organized self-starter able to work well under pressure and manage multiple tasks simultaneously.
-
Entrepreneurial mindset with the flexibility to adapt to growing technology and market demands.
-
Professional certifications such as Google Cloud Certified, Professional Cloud Architect, or AWS Certified are considered an asset.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Software Developer
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Software Developer who will create web-based applications in JavaScript, C#, and SQL to create fast and responsive user interfaces. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Senior Software Developer, your key area of responsibility will be creating web-based applications, developing tools for data analysis (such as iPython scripts), and ensuring the performance, scalability, and UI design of designs and threading. You will need to work closely with more junior team members to provide guidance, as well as Leads and senior leaders to offer recommendations on new technologies and frameworks.
To be successful in this role, you will be a strong team player with an entrepreneurial mindset who is comfortable in a flat organization and possesses high accuracy and meticulous attention to detail. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage complex coding challenges through to completion.
How you'll make an impact:
-
Write scalable, high quality and secure software in a variety of programming languages and environments, such as C#, JavaScript, and SQL.
-
Listen and contribute to design discussions, documenting requirements and technical design while ensuring efficient maintenance and code reuse.
-
Perform quality assurance through peer reviews and analyze performance data to troubleshoot and identify the root cause of bugs.
- Provide guidance to junior team members and technical assistance to support staff and resellers.
-
Research new language features and frameworks to offer recommendations to leadership and assist in defining team best practices.
-
Ensure the functionality, performance, scalability, and system architecture for each assignment, including participation in on-call schedules.
What you'll bring to this role:
- 5 - 8 years of experience as a Software Developer using object-oriented programming to build scalable applications
-
Post-secondary Diploma/Degree specialization in Computer Science, Software Engineering, or a related field.
-
Knowledge of multiple general purpose programming languages (e.g. C#, Java, Python) and expert knowledge with optimizing databases (e.g. MySQL, SQL Server, Postgres).
-
Working knowledge of Docker and Kubernetes, and proficiency in Git or other distributed source control tools.
-
Experience with Google Compute Engine, Google BigQuery, and developing iPython scripts for data analysis.
-
Strong analytical skills with the ability to problem-solve and make well-judged decisions.
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Lead Software Developer (Remote)
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Software Developer who will design, build and maintain efficient, reusable, reliable code to develop high throughput, performance critical, scalable applications. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you’ll do:
As a Lead Software Developer your key area of responsibility will be leading the development of scalable code and architecture improvements, taking ownership of complex projects, and ensuring high code quality through testing and reviews. You will also need to provide regular status reports to key partners to ensure the project is on time and meeting expectations. You will need to work closely with internal technical teams, software engineers, product managers, and external partners to contribute to solving technical issues and defining strategic direction.
To be successful in this role you will be a self-starter with an entrepreneurial mindset, a strong team-player, and have the ability to communicate and document complex technical systems and decisions. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How you’ll make an impact:
-
Independently and proactively identify key areas of architecture improvement, including preparing proposals on achieving the improvements.
-
Lead, oversee and plan the development of scalable code, prototypes, minimum viable products and PoCs.
-
Take ownership of complex/ long-term projects and contribute to their implementation, including defining scope, requirements, communicating project progress, challenges and solutions, while ensuring timely delivery.
-
Conduct comprehensive testing and code reviews to ensure that code quality is maximized and best-practices are followed.
-
Provide expert project-leadership and guidance as a SME, to the department and larger organization.
-
Serve as a cross functional resource across team/department and products to contribute to solving technical issues in development.
-
Builds relationships and serve as a technical point of contact partnering with stakeholders including customers, product managers, cross-functional partners, and external partners and other internal team members.
-
Mentor other developers on the team and work with the team leads to set the direction of the team and guide key stakeholders on execution choices and trade-offs, and advise manager with insights and recommendations to improve the team.
-
Appropriately document system design and architecture such that it is easy to understand, maintain and extend.
-
Support Geotab global strategic initiatives.
-
Participate in a 24x7 on-call rotating schedule (if applicable).
What you’ll bring to this role:
-
10 - 12 years of experience using object-oriented programming to build scalable applications.
-
Post-secondary Diploma/Degree with specialization in Computer Science, Software Engineering, or a related field, or equivalent working experience.
-
Proven expertise in design and architecture with experience in Python, Google Compute Engine, and Google BigQuery.
-
Expert knowledge of SQL Server, Postgres, and MySQL database design, optimization, and query writing.
-
Proficiency in Git, front-end languages (HTML/CSS, JavaScript, XML), and frameworks (Angular, React, Node.js, or Vue.js).
-
Strong leadership skills with repeated success in mentorship and development of employees and interns.
-
Exceptional communication and project management skills, with the ability to manage multiple fast-changing priorities under pressure.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Product Manager, Resource Optimization
Share this job
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Product Manager who will lead fuel resource management solutions, which are critical for reducing operational costs for our fleets. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Product Manager, your key area of responsibility will be managing the end-to-end user experience for Optimization and Efficiency Solutions, specifically focusing on Fuel Transactions, Fill-ups, and IFTA reporting. You will need to work closely with Product Marketing, Solutions Delivery, Software and Embedded Development, and Data Science teams to solution and advocate for resources. To be successful in this role, you will be a strategic self-starter with empathy for customer pain points and the ability to grasp complex technical concepts quickly. In addition, the successful candidate will have strong analytical skills to conduct product discovery, leverage data for story building, and manage projects from start to finish within the technical product development space.
How you'll make an impact:
-
Product research / discovery with customers, leverage internal folks' for product feedback and access to customers.
-
Deep technical, market, policy understanding for fleet operations, especially around fuel tax, EV charging, and general energy resource optimization (reduction) strategies.
-
Responsible for improving the user experience on: Fuel Transactions, Fill-ups, IFTA Reporting, and Driver Logbook Suite.
-
Work with Product Marketing, Solutions Delivery, and all adjacent technical teams from start to finish.
-
Advocate for resources and prioritization when needed to deliver customer and business needs.
-
Leverage research and existing product architecture to solution along with Data Science, Software, Firmware, etc.
-
Maintain existing product suite and adopt customer feedback.
What you'll bring to the role:
-
3-5 years of professional experience in technical product development, stakeholder management, or enterprise sales.
-
Experience in Product Management, Project Management, or Software Development is highly valued.
-
Proficiency in AI tools (Claude, Gemini, Codex) for data exploration, story building, and code development.
-
Technical proficiency in Jira, Salesforce, and Google Suite; experience with BigQuery and GitLab is an asset.
-
Familiarity with IoT, SaaS, or Telematics industries (Automotive, Trucking, OEM, or Telco) is a plus.
-
Ability to travel up to 25% of the time (approximately 6 weeks per year).
-
Bachelor’s degree in a related field or equivalent professional experience.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Ready to apply?
Apply to Geotab
Senior Systems Engineer, R&D Business Systems
Share this job
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Senior Systems Engineer within our Engineering Strategy and Operations group. Our Research and Development (R&D) department is dedicated to accelerating innovation. This role expedites internal R&D business systems development and bridges Fivetran feature development processes with business operations and data insights. You will be instrumental in building the infrastructure and tools that provide our R&D and business leaders with a unified, real-time view of R&D operations efficiency and market alignment.
We are seeking a highly motivated and skilled Systems Engineer to design, build, and maintain the critical systems and data pipelines that support our R&D organization. This role focuses on implementing technical solutions for key engineering and product processes, integrating core enterprise platforms, and transforming raw data into actionable business intelligence.
This is a full-time, hybrid position based out of our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
TypeScript/JavaScript, Python, and React; extend Atlassian Cloud via Forge and ScriptRunner; manage data flows in BigQuery and SQL; and deploy solutions on GCP using modern CI/CD practices.
What You’ll Do
-
Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle.
-
Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations.
-
Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster.
-
Design and build production-grade backend services and integration workflows in Python and TypeScript.
-
Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security.
-
Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing.
-
Own observability, operational readiness, and production support for internal tools and data pipelines.
-
Build maintainable React-based internal applications with strong UX, accessibility, and performance practices.
-
Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation.
-
Create comprehensive technical documentation for all integrations, data models, and deployed systems.
-
Build, maintain, and govern self-service analytics dashboards using tools such as Sigma and Looker Studio to measure and drive operational excellence in feature delivery and business velocity, in partnership with our centralized analytics team.
Skills We’re Looking For
-
5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices
-
Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability.
-
Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI.
-
Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions.
-
Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc.
-
Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes.
-
Experience working cross-functionally with global, engineering, product, design, and data analytics teams.
-
Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs.
Bonus Skills
-
3+ years of experience in automation/operations roles within high-growth SaaS or tech companies.
-
Familiarity with the modern data stack (e.g., dbt, Airflow, Fivetran, Segment, or similar).
-
Experience building custom internal tools, AI agents, or web applications to support business operations.
This role represents new headcount added to the team to support continued growth and expansion of capabilities.
#LI-HYBRID #LI-DC2
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Senior Data Engineer II, Finance
Share this job
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.
About the Job
- You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
- You are expected to mentor other team members and be a champion of engineering excellence across the organization.
- You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
- You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
- You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About You
Minimum Qualifications
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
- Expert with SQL and dbt (Data Build Tool).
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
- Experience with Snowflake, dbt (Data Build Tool) and Airflow.
- Experience with SOX controlled data systems.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
Ready to apply?
Apply to Instacart
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.
About the Job
- You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
- You are expected to mentor other team members and be a champion of engineering excellence across the organization.
- You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
- You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
- You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About You
Minimum Qualifications
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
- Expert with SQL and dbt (Data Build Tool).
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
- Experience with Snowflake, dbt (Data Build Tool) and Airflow.
- Experience with SOX controlled data systems.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Ready to apply?
Apply to Instacart
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
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.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
Ready to apply?
Apply to 66degrees
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.
As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.
Why Lyft Ads?
- Be part of a high-impact team building the foundations of Lyft’s advertising infra
- Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
- Join a supportive, inclusive environment focused on engineering excellence and business impact.
Responsibilities:
- Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
- Design and implement scalable data models to support analytics, targeting, and measurement use cases.
- Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
- Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
- Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
- Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
- Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
- Learn and grow through mentorship, documentation, and regular team collaboration.
Experience:
- BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
- 3+ years of industry experience in backend or data engineering roles
- Proficiency in at least one backend programming language (e.g., Python, Go, Java)
- Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
- Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
- Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
- Experience with Linux.
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
Ready to apply?
Apply to Lyft
This is Engineering at Lattice
Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.
As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.
You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.
What You Will Do
- Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
- Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
- Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
- Shape data governance practices ensuring access to data is secure, compliant, and high-quality.
- Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.
What You Will Bring to the Table
- 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
- Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
- Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
- Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
- Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
- Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users
Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.
The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.
Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.
Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.
#LI-Remote
About Lattice
Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies.
Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto.
Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy.
Ready to apply?
Apply to Lattice
Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About this team:
The Sales Planning and Strategy Team’s mandate is to partner cross-functionally to realize growing revenue targets, to scale the organization sustainably, and to address new go-to-market opportunities and challenges. We are responsible for developing Samsara’s multi-year strategy and detailed plan to achieve our revenue growth targets in close collaboration with Finance, Product, and Marketing. We also work with Sales Operations and Strategy to execute our plans in-year and drive strategic initiatives to support Samsara’s profitable growth.
About the role:
The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact team member to join our team. This role will support building the multi-year plan to achieve our ambitious growth targets, drive analysis to deeply understand our Sales team performance, and manage strategic projects in partnership with our Sales leaders. We are a highly collaborative team and seek to have an outsized impact on Samsara through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.
This is a remote position open to candidates residing in Canada.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
- You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact.
- You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
- You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before.
- You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.
In this role, you will:
- Drive strategic planning initiatives to support Samsara’s long-term growth in partnership with Sales Leadership, Business Operations, Sales Operations, Finance, Marketing, and other cross-functional teams
- Develop insights and own analytical models that inform long-term and annual planning
- Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution
- Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work
- Collaborate across Samsara, building trusted relationships across organizations and functions to create “connective tissue” between cross-functional teams
- Identify risks to growth goals and develop action plans to mitigate those risks
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally
Minimum requirements for the role:
- 5-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role
- Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines
- Strong analytical and logical reasoning skills; a deep sense of curiosity
- Collaborative orientation and experience in building trusting relationships and influencing others (incl. executive audiences)
- Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
- Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions.
- Ability to synthesize a broad set of information into a cohesive narrative
- Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets)
An ideal candidate also has:
- Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
- Experience with GTM strategy
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Ready to apply?
Apply to Samsara
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
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.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Senior Software Developer
Share this job
Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
This position is 100% remote
Overview:
As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.
What you will do:
- End-to-end technical ownership of product features
- Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
- Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
- Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
- Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
- Be agile and embrace change
What we are looking for:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
- Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
- At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
- Demonstrated expertise in Java/J2EE, Spring Framework
- Experience writing and consuming REST APIs in building scalable, modern web applications
- Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with containerization technologies like Docker and Kubernetes
- Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
- Knowledge of database connectivity using JDBC and/or ODBC
- Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
- Familiarity with Change Data Capture a plus
- Experience using tools like GitHub Copilot or Claude Code
- Knowledge of AI agents and MCP servers
- Familiarity with spec-driven development (SDD) a plus
#LI-GB1 #LI-Remote
The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
Ready to apply?
Apply to Precisely International Jobs
Senior Software Developer
Share this job
Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
This position is 100% remote
Overview:
As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.
What you will do:
- End-to-end technical ownership of product features
- Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
- Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
- Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
- Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
- Be agile and embrace change
What we are looking for:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
- Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
- At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
- Demonstrated expertise in Java/J2EE, Spring Framework
- Experience writing and consuming REST APIs in building scalable, modern web applications
- Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience with containerization technologies like Docker and Kubernetes
- Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
- Knowledge of database connectivity using JDBC and/or ODBC
- Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
- Familiarity with Change Data Capture a plus
- Experience using tools like GitHub Copilot or Claude Code
- Knowledge of AI agents and MCP servers
- Familiarity with spec-driven development (SDD) a plus
#LI-GB1 #LI-Remote
The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
Ready to apply?
Apply to Precisely International Jobs
Senior Data Engineer
Share this job
Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.
Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.
Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.
Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on.
You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies.
About the Data Team
The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.
What you’ll do
- Design, build, and maintain robust data pipelines that integrate sources across the business.
- Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
- Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
- Develop and optimize data models to deliver trusted, structured, and business-ready data.
- Ensure data quality, security, and governance are embedded in all pipelines and systems.
- Orchestrate and monitor pipeline execution to ensure reliability and scalability.
- Deploy and manage infrastructure as code.
- Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
- Work with cloud data warehouses to enable insights and analytics.
- Maintain and update reporting solutions and user dashboards.
- Automate workflows and improve CI/CD pipelines to reduce manual processes.
Would be great if you brought this to the role
- Over 6 years of experience as a Data Engineer
- Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released.
- Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift).
- Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster).
- Comfort with Python or other scripting languages for ETL and automation.
- Familiarity with data governance and metadata management (e.g.: DataHub).
- Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).
- Exposure to data integration and ingestion tools (e.g.: Airbyte, Segment).
- Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3).
- Exposure to open source projects
- Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev).
- Familiarity with CI/CD practices and automation (e.g.: GitHub Actions).
- A collaborative mindset and eagerness to work with both technical and non-technical colleagues.
Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.
It is a requirement of employment in this position that applicants will be required to submit to background checks including but not limited to employment, education and criminal record checks. Further details will be provided to applicants that successfully meet the criteria for the position as determined by the company in its sole discretion. By submitting an application for employment, you are acknowledging and consenting to this requirement.
The salary range for US-based candidates only will be determined throughout the interview process depending on experience and skills.
In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At Consensys, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities with economic and political agency through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3.
Consensys is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Consensys is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself which can be found (https://consensys.io/careers/best-practices-to-avoid-recruitment-fraud/).
Ready to apply?
Apply to Consensys
Senior Data Engineer
Share this job
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.
We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Preferred Qualifications
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
- Proven ability to optimize performance and cost across data workflows and storage systems
- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership
Compensation Details
Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your Role
As a Sr. Software Engineer in Tel Cloud, you will own the components that power our global communications systems. You will work on features like call routing, SMS/MMS messaging, spam detection, fraud detection, fleet deployments, porting, and number management, ensuring our platform remains scalable, reliable, and trustworthy.
This position reports to an Engineering Manager in the Telephony Platform team.
We don’t mind if you come from a different engineering background or haven’t worked in communications before. Just be excited to learn, contribute to the team, and build a fast, reliable, elegant product that delights our customers.
What you’ll do
- Design data models for heavy concurrency and real-time performance, ensuring sub-second latency for global call routing.
- Test and tune service scaling to ensure we always have capacity available to service our customers’ real-time communications.
- Build monitors and alerts to maintain high reliability and observability.
- Participate in releases and on-call rotations, driving operational excellence for the team's platform components.
- Design, write, and deploy features used by Dialpad engineering teams to communicate with carriers and third-party communication services.
- Strategize and drive the roadmap for cross-team platform initiatives.
- Serve as a champion, coach, and mentor to more junior engineers, promoting a culture of ownership and craftsmanship.
Skills you’ll bring
- Bachelor's degree in Computer Science or equivalent practical experience.
- 5+ years of SaaS professional experience maintaining large-scale production backend systems.
- Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
- Deep expertise in Python/Java/C and at least one cloud-native architecture (e.g., GCP).
- Familiarity with async and MapReduce design patterns, as well as NoSQL databases, distributed caches, and large-scale data lakes.
- Experience in profiling and optimizing backend code for low-latency requirements (p50/p90 metrics).
- A strong sense of urgency, personal agency, and customer empathy.
- Passion for data-driven decisions, building resilient systems, and solving classes of problems.
Our tech stack
- Backend: Python, Google Cloud Platform, Cloud Run / k8s, Datastore, Redis, ElasticSearch, BigQuery, Google Cloud Pub/Sub.
- Frontend: Angular / Bootstrap.
For exceptional talent based in British Columbia, Canada the target base salary range for this position is posted below. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in British Columbia role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Senior Analytics Engineer
Share this job
About Clutch
Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee.
Named one of Canada’s Top Growing Companies two years in a row and awarded a spot on LinkedIn’s Top Canadian Startups list, we’re looking to add curious, hard-working, and driven individuals to our growing team.
Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca
About the role
Clutch is seeking a Senior Analytics Engineer to design, maintain, and evolve our analytics data stack. In this role, you will work closely with business teams, own critical data domains, and mentor other analytics engineers while driving data quality, governance, and modern analytics practices.
What you’ll do
-
Lead the design and evolution of Clutch’s analytics data stack, including scalable ELT pipelines, dimensional models, and semantic layers using dbt, Snowflake, and Airflow
-
Partner with Marketing, Product, Operations, and Finance teams to define metrics frameworks, improve reporting fidelity, and build trusted data products
-
Drive best practices in data engineering: testing, observability, CI/CD, and code review for production-ready analytics code
-
Own critical data domains end-to-end, ensuring models and pipelines are reliable, performant, and trusted
-
Mentor and guide other analytics engineers, elevating technical practices and modeling approach
-
Shape Clutch’s data governance strategy by contributing to documentation, standards, and overall data culture
-
Experiment with emerging tooling in orchestration, data quality, and self-serve analytics to keep Clutch at the forefront of modern data practices
What we’re looking for
-
6–8+ years of experience in analytics engineering, data analytics, or data engineering in high-growth or fast-paced environments
-
Proven track record building and maintaining complex data models with dbt in a production environment (CI, testing, documentation)
-
Deep SQL expertise, with experience designing scalable dimensional models and working with large, normalized datasets
-
Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
-
Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau)
-
Strong communication skills with the ability to influence stakeholders and lead discussions around metrics and data strategy
-
Strong sense of ownership, accountability, and craftsmanship for data quality, performance, and maintainability
-
Experience with Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformations is a plus
-
Prior mentorship or leadership experience in a data team is strongly preferred
Why you’ll love it at Clutch
-
Autonomy & ownership – create your own path and own your work
-
Competitive compensation and equity incentives
-
Generous time off program
-
Health & dental benefits
Employment Type
Existing, Permanent Full-Time
Compensation & Benefits
-
Salary: $120,000 - $160,000 annually
-
Equity incentives
-
Comprehensive healthcare, dental, vision, prescriptions, life insurance, and dependent coverage
-
Pay decisions reflect skills, performance, market benchmarking, responsibilities, and working conditions
Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email talent@clutch.ca
Ready to apply?
Apply to Clutch Technologies Inc.
Staff Software Developer, AI (Calgary, Canada)
Share this job
Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?
Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals.
Our customers are our greatest asset. Syndio partners with many of the world’s most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes.
Join us in our mission to help companies make smarter pay decisions they can trust!
About the role:
We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You’ll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders.
You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact.
Why this job is exciting:
- Design, develop, and deploy production AI/ML systems that deliver business impact to our customers.
- Build and maintain LLM-based applications leveraging context engineering techniques and toolsets.
- Collaborate with data scientists to transition approved proof of concepts from a research environment into production.
- Integrate AI capabilities into existing products and services through APIs and microservices.
- Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance.
- Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns.
- Stay up-to-date with the rapid changes in the AI landscape (e.g., new foundation models, quantization techniques) and prototype new ideas quickly.
About you:
- Proficiency developing clean modular and efficient code with Python
- Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI
- Working knowledge of Google Gemini, OpenAI, and Anthropic APIs
- Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance
- Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources
- Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot)
- Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints
- Natural curiosity and passion for staying current with rapidly evolving AI technologies
- Ability to balance innovation with practical business requirements
- Adaptable when navigating ambiguity and rapidly shifting priorities
- Comfortable communicating technical concepts and trade-offs to non-technical stakeholders
Bonus Points:
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, Data Science, or quantitative field OR equivalent hands-on experience in a related professional industry
How we work:
- We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You’ll be joining a small, ambitious team committed to high trust, low ego collaboration. It’s a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration.
- Applicants must currently reside within commuting distance of Calgary, Alberta, Canada for consideration. Relocation is not currently offered.
- Kindly note, you must also be eligible to work in Canada legally, as we are NOT able to provide visa support or transfer at this time.
- 💰 Competitive Compensation. For this role our base salary is targeted at $205-240k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.
- 🏆 Syndio Equity. So you can share in Syndio’s success.
- 🏝 20 days annually. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave.
- 🏦 Pension Contribution
- 📍 Remote-First with opportunities for local meet-ups in Calgary #LI-Remote
Role progression:
- Month 1: Immediate Impact
From day one, you'll be immersed in our platform, infrastructure, and codebase. We expect a rapid learning curve and the ability to quickly contribute. A key deliverable for your first month will be deploying a feature that demonstrates your grasp of our systems and your ability to execute effectively. - Month 2: Proactive Contribution
You'll move beyond the initial learning phase and take a proactive role in identifying opportunities for improvement. This will involve deep dives into our endpoints, independent problem-solving, and a demonstrated ability to iterate and enhance our product. - Month 3: Driving Innovation
By the third month, you'll be a fully integrated member of our AI team, operating at full capacity. This includes active participation in technical discussions, independent execution of complex tasks, and the ability to propose and implement innovative technical solutions.
The Interview Overview:
Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30 min - Phone call with a member of our Talent Team
- 75 min - Zoom interview with the Hiring Manager
- Skills Evaluation - Take-home Assignment
- 75 hr - Technical Interview with Team
- 30 min - Executive Interview
At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.
Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.
Ready to apply?
Apply to Syndio
Revenue Technology - Data Strategy & Operations Lead
Share this job
Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.
As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.
We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.
In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Here are some things you’ll do on the job:
- Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
- Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
- Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
- Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
- Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
- Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
- Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
- Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
- Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
- Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives
You Should:
- Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
- Have deep experience designing and operating production data pipelines
- Be highly proficient in SQL and experienced in data modeling
- Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
- Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
- Understand Salesforce data models and common GTM system architectures
- Be able to translate business concepts into durable, well-structured data models
- Communicate clearly with both technical and non-technical partners
Preferred:
- Experience supporting revenue, sales, or customer lifecycle data
- Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
- Experience working alongside platform engineering and security teams
- Exposure to data governance, access controls, and compliance considerations
- Experience mentoring or guiding other data practitioners
Compensation:
The total rewards package at Mercury includes base salary, equity, and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
- US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
- US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
- Canadian employees (any location): $149,700 - 187,100 CAD
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.
[Please see the independent bias audit report covering our use of Covey for more information.]
#LI-SN1
Ready to apply?
Apply to Mercury
Why Mozilla?
Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.
The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.
About this team and role:
Mozilla is looking for an Incident Responder to monitor and mitigate attacks across Mozilla’s products and services. In this position, you will be a part of a flexible team responsible for handling security incidents. As such, you’ll need to have years of practical security experience and knowledge of the state of the art for detecting and responding to attacks. You’ll be someone Mozillians across the company depend on and trust to respond quickly and effectively in a crunch, with the outstanding communication and collaboration skills needed to work in partnership with diverse stakeholders. Most importantly, you will become a critical member of the team responsible for ensuring the integrity of Mozilla’s products and for keeping Mozilla’s users safe, within a company dedicated to building a more secure internet.
What you’ll do:
- Identify and respond to security incidents on a global scale.
- Act as an incident commander to drive incidents through the entire response lifecycle.
- Design and maintain a portfolio of security alerts, automated actions, playbooks and escalation workflows in support of a high-performing 24/7 incident response capability.
- Conduct threat hunting activities, anticipate future threats, and maintain forward-thinking strategies for tools/technology/processes that combat sophisticated threat actors.
- Research threat intelligence reports, triage and manage resulting workflows.
- Partner with key stakeholders and communicate effectively to maintain a continuously improving feedback loop of preparation, identification, analysis, containment, and post mortem activities.
- Participate in on-call rotation.
What you’ll bring:
- 5+ years of demonstrated ability managing security incidents at a global scale and/or experience working in Security Operations Centers (SOC), Product Security Incident Response Teams (PSIRT), and Computer Security Incident Response Teams (CSIRT).
- Expertise with security information and event management (SIEM) systems (eg. ELK, Google BigQuery, Splunk, etc.). Splunk proficiency is preferred.
- Expertise with integrating and leveraging threat intelligence for detection engineering.
- Expertise with security orchestration and automation (SOAR) platforms such as Tines or Splunk SOAR.
- Superb communication and leadership capacity; ability to partner effectively with diverse company stakeholders.
- Real-world experience in software development and/or engineering operations for consumer products and services; B.S. in a technology-focused field is helpful.
- Practical experience working with cloud technologies (eg. Google Cloud Platform, Amazon Web Services, Heroku, Microsoft Azure, etc.).
Competencies
- Ownership and Accountability
- Autonomy
- High Level of Integrity
- Clear Communication
- Creative Problem Solver
- Passionate about Security
What you’ll get:
- Generous performance-based bonus plans to all eligible employees - we share in our success as one team
- Rich medical, dental, and vision coverage
- Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
- Quarterly all-company wellness days where everyone takes a pause together
- Country specific holidays plus a day off for your birthday
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program
- Other benefits (life/AD&D, disability, EAP, etc. - varies by country)
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE
Req ID: R2954
Hiring Ranges:
Ready to apply?
Apply to Mozilla
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
What is The Role
Our Marketing organization is building an AI-powered intelligence system to drive strategy, insights, and revenue. We are looking for a Principal Analytics Engineer to lead the design and build of this foundation. This role is about more than just writing code—it’s about creating the semantic blueprint for how Elastic understands and interacts with its business data.
You will synthesize complex data streams into a unified, high-fidelity system that serves as the "source of truth" for the entire customer journey. By engineering a structured knowledge layer, you will enable Elastic to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.
What You Will Be Doing
- Architect the Foundation: Design and build the core BigQuery and dbt infrastructure that powers Elastic’s marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.
- Enable AI & Agents: Develop the semantic layer and structured knowledge base that allows AI agents to accurately "talk" to our business data and reason through complex performance questions.
- Map the Journey: Integrate disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer’s path from discovery to revenue.
- Scale through Partnerships: Partner with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.
What You Bring
- Data-as-a-Product: You treat data as a high-value product. You are dedicated to the user experience of data—ensuring it is discoverable and reliable for both human teammates and AI agents.
- Technical Proficiency: Deep experience with BigQuery, dbt, and semantic layers (e.g., dbt Semantic Layer, Vortex AI). You have a proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle.
- Architectural Design: Ability to build complex, interconnected systems by starting with the desired outcome and working backward. You enjoy creating extensible frameworks that empower others to innovate.
- Systems & Design Thinking: The ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.
- Collaborative Communication: A track record of "translating" technical debt into business value and coaching peers through complex architectural hurdles.
- Operational Excellence & Governance: You treat data as infrastructure. You have deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks that ensure metrics remain consistent, secure, and reliable across the enterprise.
Bonus Points
- GTM Fluency: A strong understanding of Go-To-Market mechanics—knowing how technical data structures translate into business-critical concepts like customer acquisition, attribution, and revenue.
- Marketing Science Foundations: Familiarity with Marketing Mix Modeling (MMM), causality, or incrementality analysis to help the business understand the true ROI of different channels.
- Privacy & Ethics: Understanding of GDPR/CCPA compliance and how to manage data privacy and consent within a marketing stack, especially when training AI models.
- Identity Resolution: Proven experience with Identity Stitching or Customer 360 frameworks to unify anonymous digital signals with known customer records.
- AI Production Scaling: Experience moving AI models or agentic workflows from experimental pilots into standardized, production-level deployments.
#LI-JM5
Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Ready to apply?
Apply to Elastic
Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. When a shopper tracks a package, initiates a return, or gets a delivery notification through one of our 1,500+ brand partners, our data systems are doing the work behind the scenes. We’re looking for a Senior Data Engineer to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products.
You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day. You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster.
Day-to-day
- Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
- Own end-to-end data models and transformations that power merchant analytics, operational reporting, and ML features
- Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly
- Evolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams
- Improve data quality and reliability through testing, observability, alerting, and validation frameworks
- Own data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions
- Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions
What We’re Looking For
We care about judgment and ownership over credentials.
You’re likely a strong fit if you:
- Have 5–8 years of experience building and operating production data systems
- Have strong SQL skills and are proficient in Python, with flexibility to pick up other languages as needed. Comfortable building and maintaining APIs.
- Have worked with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well), including cloud data warehouses like BigQuery, ELT patterns, and orchestration with Airflow
- Understand data modeling deeply — dimensional modeling, slowly changing dimensions, incremental processing
- Treat data quality, lineage, and observability as first-class engineering concerns
- Communicate clearly with technical and non-technical stakeholders and are comfortable working cross-functionally
- Already use AI and agentic coding tools as a core part of how you work for planning, code generation, debugging, and code review.
Signals That You’ll Thrive Here
These aren’t hard requirements, but strong indicators:
- You’ve worked in startup or high-ownership environments where you wore multiple hats
- You’ve built or maintained embedded analytics or multi-tenant data products
- You’re excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflows
- You care about cost optimization and data governance
Why Data Engineering at Narvar?
Because post-purchase is one of the most data-rich and underserved problem spaces in e-commerce.
We process 10+ billion consumer interactions across 1,500+ retailers, 38 countries, and 55 languages. That data spans tracking, returns, claims, notifications, and customer care. Most data engineering roles have you building pipelines for internal dashboards. Here, the data products you build are the product — merchants make decisions from the analytics we surface, and our agentic AI (Navi) reasons over the data layer you help shape. We’re at an inflection point, investing in embedded merchant analytics and LLM-readiness. You’ll get startup-level ownership with platform-level impact, on a team that values thinking, judgment, and responsibility.
Why Narvar?
We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!
From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.
Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.
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.
#LI-BB1
#LI-Remote
The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.
Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.
Ready to apply?
Apply to Narvar
Sr. Data Scientist, Programmatic Algorithms
Share this job
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
Ready to apply?
Apply to Impact.com
Partner Solutions Architect - North America
Share this job
About Us
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZeneca, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
- Reliable, high-quality data is the fuel that propels AI-powered data engineering.
- AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
- We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
About the role:
We’re looking for a Partner Solutions Architect to join the Field Engineering team and help scale dbt’s partner go-to-market motion across North America.
This role is focused on building technical and commercial momentum with both consulting and technology partners. You will work closely with Partner Development Managers to drive partner capability, field alignment, and pipeline across strategic SI and consulting partners as well as key technology partners such as Snowflake, Databricks, and Google Cloud. Internally, this role sits at the intersection of Field Engineering, Partnerships, Sales, Product, and Partner Marketing.
This is not a purely reactive enablement role. The Partner SA is expected to help shape and execute repeatable partner plays that create revenue. That includes enabling partner sellers and architects, supporting account mapping and seller-to-seller engagement, helping define joint value propositions, supporting partner-led pipeline generation, and influencing product and field strategy based on what is learned in-market. Internal operating docs show this motion consistently includes enablement sessions, QBR sponsorships, account planning, workshops, field events, and targeted campaigns designed to produce sourced and influenced pipeline.
You’ll be part of a team helping dbt scale its ecosystem through better partner capability, tighter field alignment, and more repeatable pipeline generation. The role is especially important as dbt continues investing in structured partner motions and deeper engagement with major cloud and data platform partners.
What you'll do:
- Partner closely with North America Partner Development Managers to execute joint GTM plans across technology and SI/consulting partners.
- Build trusted technical relationships with partner architects, sellers, and practice leaders
- Run partner enablement sessions, workshops, office hours, and hands-on technical trainings to improve partner capability and field readiness
- Support account mapping and seller-to-seller alignment between dbt and partner field teams to uncover and accelerate pipeline
- Help create and refine repeatable sales plays across themes like core-to-cloud migration, modernization, AI-ready data foundations, marketplace, semantic layer, and partner platform adoption
- Support partner-led and tri-party pipeline generation efforts including QBRs, innovation days, lunch-and-learns, hands-on labs, and local field events
- Equip partner teams with the technical messaging, demo narratives, architectures, and customer use cases needed to position dbt effectively
- Collaborate with dbt Account Executives, Sales Engineers, and regional sales leadership to drive co-sell execution in target accounts
- Act as a technical bridge between partners and dbt Product / Engineering by surfacing integration gaps, field feedback, competitive insights, and roadmap opportunities
- Serve as an internal subject matter expert on dbt’s major technology partner ecosystem, especially Snowflake, Databricks, and Google Cloud
- Contribute to the scale motion by helping build collateral, playbooks, enablement assets, and best practices that raise the bar across the broader Partner SA function
- Travel approximately 30-40% to support partner planning, enablement, executive meetings, and field events across North America
This scope reflects how the Partner SA team is already operating: enabling partner field teams, building account-level alignment, supporting QBRs and regional events, and translating those activities into sourced and engaged pipeline.
What you'll need:
- 5+ years of experience in solutions architecture, sales engineering, consulting, partner engineering, or another customer-facing technical role in data and analytics
- Strong hands-on background in SQL, data modeling, analytics engineering, and modern data platforms
- Ability to clearly explain modern data stack architectures and how dbt fits across warehouses, lakehouses, semantic layers, and AI-oriented workflows
- Experience translating technical capabilities into clear business value for both technical and non-technical audiences
- Comfort operating in highly cross-functional environments across Sales, Partnerships, Product, and Marketing
- Strong presentation, workshop, and facilitation skills, including external enablement and customer-facing sessions
- Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders
- Experience supporting complex enterprise buying motions, proof-of-value work, or partner-influenced sales cycles
- Strong written communication skills for building collateral, technical narratives, and partner-facing content
- A collaborative mindset and a desire to help scale best practices across a growing team
What will make you stand out:
- Experience working directly in partner, alliance, or ecosystem roles
- Experience with Snowflake, Databricks, BigQuery / Google Cloud, AWS, or Microsoft Fabric in a GTM or solutions context
- Experience enabling systems integrators, consulting firms, or technology partner field teams
- Familiarity with cloud marketplace motions, co-sell programs, and partner-sourced pipeline generation
- Prior experience with dbt, analytics engineering workflows, or adjacent tooling in transformation, orchestration, governance, or metadata
- Strong instincts for identifying repeatable plays that connect enablement activity to measurable pipeline outcomes
- Ability to influence both strategy and execution, from partner messaging and field enablement to product feedback and GTM refinement
- A track record of building credibility quickly with partner sellers, partner architects, and internal field teams
Benefits - dbt Labs offers:
-
- Unlimited vacation (and yes we use it!)
- Pension coverage
- Excellent healthcare
- Paid Parental Leave
- Wellness stipend
- Home office stipend, and more!
What to expect in the interview process (all video interviews unless accommodations are needed):
- Interview with Talent Acquisition Partner
- Interview with Hiring Manager
- Team Interviews
- Demo Round
#LI-LA1
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
Ready to apply?
Apply to dbt Labs
Postdoctoral Fellow in Biostatistics & Business Analytics
Share this job
About us:
PurposeMed is a Canadian-founded healthtech company established in 2019 with a mission to improve access to complex care for underserved communities. We’ve combined our clinical roots with a drive to scale, and now our exceptional team provides specialized care to thousands of patients every month.
PurposeMed consists of three complex care business units: Freddie, Frida, and Foria, and partners with Affirming Care Pharmacy.
- Freddie improves sexual health through education, prevention, and treatment with a focus on the LGBTQ2S+ community. As the #1 rated PrEP provider in North America, we’re proudly dismantling barriers to sexual healthcare for patients across both Canada and the USA.
- Frida transforms the lives of patients through easier access to adult ADHD diagnosis and fast, affordable treatment.
- Foria provides trans, non-binary, and gender-diverse Canadians with specialized, gender-affirming healthcare.
- Affirming Care Pharmacy provides discreet, specialty prescription delivery across North America. Operating from Calgary, Mississauga, Toronto, and San Antonio, they provide our patients with an integrated, end-to-end healthcare experience.
We are proud to be ranked #2 on Deloitte’s 2024 list of Canada’s 50 fastest-growing tech companies and recognized as one of Canada’s Most Admired Corporate Cultures for two consecutive years. Driven by a strong mission, our team is passionate about making healthcare accessible to those who need it most—and we make sure to have fun along the way!
1-2 years, full-time (fixed term opportunity)
Location - Remote (Canada)
Though we have an office based in Calgary, this is a remote position that is open to candidates across Canada. PurposeMed's office is located on the unceded and traditional territories of the peoples of the Treaty 7 region which includes the nations of the Siksika, the Piikani, the Kainai, the Îethka Stoney Nakoda which consists of the Chiniki, Bearspaw, and Good Stoney Bands, and people of the Tsuut’ina First Nation. The city of Calgary is also homeland to the historic Northwest Métis and to the Otipemisiwak Métis government, Métis Nation Battle River Territory, Nose Hill Métis District 5 and Elbow Métis District 6.
Who we hope to find:
This 1–2 year fellowship is designed explicitly as a transition-to-industry opportunity. It bridges the gap between academic training and real-world application in digital health, clinical operations, and business analytics, while maintaining the academic rigour and publication support expected of a postdoctoral position.
The Fellow will be formally affiliated with the University of Calgary and embedded within PurposeMed’s Data and Analytics team. This dual structure offers a rare professional advantage: a named academic home combined with direct industry immersion. Most uniquely, you will be supported by a three-person supervisory triad—academic, clinical, and technical—ensuring you grow in all three dimensions simultaneously through the mentorship of Dr. Ranjani Somayaji (U of C), Dr. Caley Shukalek (CMO), and our Head of Data.
In this role, you’ll make an impact by:
Elevating Patient Care & Health Equity
- Applying biostatistical methods including regression analyses, ROC curves, risk scoring, and survival analysis to real-world healthcare datasets
- Partnering with clinical, operations, and product teams to design and conduct analyses that drive decision-making and improve patient outcomes
- Participating in patient communication initiatives that make analytical findings accessible to the communities PurposeMed serves
Bridging Data Rigor and Business Strategy
- Translating complex statistical insights into actionable recommendations for clinical, ops, and leadership teams
- Collaborating in the development, validation, and communication of metrics and KPIs for clinical, operational, and business performance
- Collaborating with PurposeMed's data engineering team to extract, manage, and transform data from cloud-based healthcare data warehouses
Advancing Academic Research & Partnerships
- Contributing to peer-reviewed publications, white papers, and conference presentations in collaboration with Dr. Somayaji
- Collaborating with government agencies, non-profits, and community partners, including HIV CTN-affiliated organizations, on joint research initiatives
- Receiving structured mentorship in business analytics, product decision-making, and applied healthcare data science
We need someone who has:
- A PhD in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field (conferred or imminent, PhD candidates with a confirmed defense timeline are welcome to apply)
- Demonstrated experience with advanced statistical analyses: regression modeling (linear, logistic, mixed-effects), ROC curves, risk score development and validation, survival analysis (Kaplan-Meier, Cox proportional hazards)
- Proficiency in R, including tidyverse and statistical modeling packages
- Working knowledge of SQL for querying healthcare data warehouses
- Excellent written and verbal communication skills and is able to present findings to clinical, operational, and non-technical audiences
- A proven ability to work independently and collaboratively in multidisciplinary teams
It would also be great if you have:
- Experience using Python (pandas, scikit-learn, statsmodels)
- Familiarity with cloud data warehouses (Snowflake, BigQuery, or Redshift) and version control (Git)
- Prior experience with real-world healthcare or clinical research datasets, particularly those with missingness, selection bias, or irregular observation times
- Exposure to BI tools (Looker, Tableau, Power BI) or R dashboard frameworks (Shiny, flexdashboard)
- Awareness of dbt or similar data transformation frameworks
- An interest in or prior experience with LGBTQ+ health, HIV/sexual health, gender-affirming care, or chronic disease management
- A prior connection to the HIV CTN, Alberta Innovates, University of Calgary research networks, or Dr. Somayaji's research group
Compensation:
- $80,000 CAD a year
- Please note that this role will be hired through the University of Calgary which provides a benefits package. This role will be contracted to PurposeMed and will not be eligible for the benefits listed below.
Do you think you could be our next Postdoctoral Fellow? We look forward to seeing your application!
#LI-Remote
Why you should join us:
- Be part of a team of great people who don’t take themselves too seriously. While we’re serious about the problems we solve, we believe in having fun along the way.
- Make an impact, every single day. We’re providing compassionate, affirming care to many people who have never received the proper support before.
- Be confident in bringing your whole self to work. Inclusivity is core to how we take care of our patients, our teammates, and ourselves. We create spaces that are safe and affirming.
What we’re offering (based on full-time, permanent roles in Canada & the USA):
Along with the benefits below, we offer additional programs and supports designed to help you feel your best—both at work and outside of it.
- Work flexibly within a team that’s remote friendly; we believe that work should fit around your life*
- 20 vacation days and a team that will remind you to use them!
- Annual winter break closure
- Comprehensive medical, dental, and vision care from your first day of work—we cover 100% of your premiums, with coverage available for dependents
- 8 health/sick days
- Extended mental health coverage
- $20,000 of lifetime coverage for gender-affirming care and procedures (Canada)
- $500 learning fund to use towards courses and other professional development
- Our unique People Potential program, in which you'll partner with your manager to identify opportunities to grow and achieve your full potential
If you are looking for a place that sparks your creativity, helps others, and will push you to be your best, then you’ll love PurposeMed.
PurposeMed is committed to being an equal-opportunity employer, and we highly encourage those from excluded and marginalized communities to apply. This includes groups such as (but not limited to): Indigenous, Black, and racialized communities, trans and non-binary, LGBTQ2S+, disabled, and HIV-positive people. You don’t have to check every single box above. If the job description gets you excited and you think you could contribute your expertise to our team—we hope you’ll apply!
*Most of our roles are performed virtually from home across Canada and the USA. Team members working onsite at Affirming Care pharmacies do need to be physically present.
Ready to apply?
Apply to PurposeMed
Senior DevOps Engineer
Share this job
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
Job Summary:
We are seeking a highly skilled and self-motivated Senior Embedded DevOps Engineer to support our engineering teams. This role will focus on driving changes and ensuring adherence to company-established standards for data infrastructure and CI/CD pipelines. The ideal candidate will have strong experience working with AWS and/or GCP, cloud-based data streaming and processing services, containerized application deployments, infrastructure automation, and Site Reliability Engineering (SRE) best practices for performance and cost optimization.
What You'll do:
- Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
- Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
- Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
- Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
- Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
- Familiarity with workflow orchestration services such as Apache Airflow and Google Cloud Composer.
- Develop and maintain automation scripts and tooling using Python to support DevOps processes.
- Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
- Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
- Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
- Ensure compliance with security policies and best practices in cloud environments.
- Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.
- Collaborate with cross-functional teams to improve development workflows and infrastructure.
What you bring:
- 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
- Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
- Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.
- Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.
- Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.
- Programming skills in Python for automation and scripting.
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).
- Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
- Experience with cost optimization strategies for cloud infrastructure.
- Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
- Ability to work collaboratively in an agile environment and support multiple teams.
Preffered Qualifications:
- Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
- Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
- Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
- Knowledge of service mesh technologies like Istio.
- Experience with GitOps workflows and Kubernetes-native tooling.
#LI-SK1
#LI-Hybrid
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Ready to apply?
Apply to ZoomInfo Technologies LLC
Analytics Lead
Share this job
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
In this pivotal role, you will play a key part in shaping the future of our organization by leveraging data to drive informed decision-making for our clients and us. As an Analytic Lead, you will work collaboratively across departments to extract meaningful patterns, trends, and insights that will guide both our and client strategy. If you are an expert storyteller and thrive in a fast-paced environment, enjoy translating complex data into compelling narratives, and are ready to make a significant impact, we want to hear from you. Join us on the forefront of data-driven innovation and help steer our company towards continued success.
Responsibilities:
- Serve as a senior analytics partner to account, strategy, and executive stakeholders, translating business objectives into scalable, best-in-class measurement frameworks that power social-first and commerce-driven growth.
- Act as the trusted advisor to executive leadership, shaping marketing, retail, and digital investment decisions through clear, data-driven insights tied to revenue impact.
- Own the end-to-end measurement strategy across paid media, influencer, social, and retail media, ensuring a direct and measurable connection between spend and commercial outcomes.
- Forecast and quantify incremental revenue and retail lift across eCommerce and brick-and-mortar partners by developing predictive models that link media investment, influencer engagement, and social performance to sales velocity and conversion.
- Design and operationalize advanced ROI frameworks, including brand lift, sales lift, incrementality testing, multi-touch attribution, and marketing mix modeling to optimize channel mix, budget allocation, and long-term growth.
- Build scalable systems to evaluate influencer effectiveness, content performance, audience growth, and conversion impact, translating insights into creative and platform optimization strategies.
- Identify emerging consumer behavior and digital engagement trends to inform brand strategy, innovation pipelines, and go-to-market planning.
- Lead, mentor, and scale a high-performing analytics team, cultivating a culture of analytical rigor, commercial acumen, and executive-level storytelling.
- Oversee the development of scalable data infrastructure, including structured databases, automated reporting workflows, dashboards, and standardized executive reporting.
Qualifications:
- Extensive experience in marketing, media, or agency environments, with demonstrated ability to apply analytics and research to drive client strategy and business outcomes.
- Bachelor’s or Master’s degree in a relevant field (Social Sciences, Statistics, Data Science, Business Analytics, or related discipline), or equivalent practical experience.
- 7–10+ years of progressive experience in research, analytics, and measurement, with a proven track record of leading complex, high-impact initiatives.
- Advanced expertise in primary and secondary research methodologies, including brand tracking, brand and communications strategy, brand lift studies, regression analysis, Market Mix Modeling, social listening, and digital and site analytics.
- Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure, and BI tools such as Sigma or comparable platforms for scalable reporting and dashboarding.
- Demonstrated ability to architect and optimize analytics workflows, data pipelines, and reporting systems that support automation, scalability, and self-serve insights.
- Strong executive-level communication and collaboration skills, with the ability to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders.
- Proven ability to influence cross-functional teams and senior client stakeholders, providing strategic guidance grounded in data, research rigor, and business context.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
Solutions Architect
Share this job
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
We have one of the largest and most advanced proprietary data infrastructures in the world, spanning social, customer, and sourced datasets. The next step is transformation - turning that data into scalable, AI-driven solutions that unlock new value for our teams and our clients. We’re seeking a Solution Architect - part innovator, part engineer, part strategist - who can take this immense data foundation and create global-leading, intelligence-based tools, models, and managed solutions. This is a role for a true builder of applied intelligence, capable of bridging advanced data science with real-world business impact.
What You'll Do Here:
- Partner with executive, strategy, and client teams to identify opportunities where data and AI can deliver measurable impact across creator selection, content performance, audience alignment, and trend forecasting.
- Architect and build robust, intelligent dashboards, models, and frameworks that convert complex datasets into intuitive, actionable solutions.
- Design and implement scalable data models and analytical systems that support enterprise-grade use cases.
- Lead the translation of ambiguous business challenges into concrete technical requirements and AI-powered solutions.
- Develop and optimize advanced SQL queries and data pipelines across platforms like Snowflake and BigQuery to operationalize your models.
- Collaborate with the Data Engineering and AI teams to ensure data quality, infrastructure alignment, and system efficiency.
- Build internal enablement tools that democratize insight — empowering non-technical teams to use, understand, and scale data-driven solutions.
- Experiment with and deploy emerging AI methods (LLMs, embeddings, predictive modelling) to surface new intelligence layers from social and behavioural data.
- Champion data-driven culture by educating internal teams on analytics best practices and data literacy.
- Continuously evaluate and introduce new technologies, frameworks, and methodologies that advance our intelligence capabilities.
You'll Need To Have:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field — or equivalent experience demonstrating technical excellence and business fluency.
- 5+ years of experience in Solution Architecture, Data Analytics, Business Intelligence, or similar role, ideally within a data-heavy or AI-enabled environment.
- Expert proficiency in SQL with experience designing performant, complex data transformations.
- Hands-on experience with modern BI platforms such as Sigma, Tableau, Looker, or Power BI.
- Direct experience with Sigma is a strong plus.
- Strong knowledge of cloud data platforms, including Snowflake and Google BigQuery.
- Deep understanding of data modeling, data warehousing, and analytical design principles.
- Product-minded approach with the ability to design intuitive tools and solutions for non-technical users.
- Comfortable operating in ambiguous and fast-evolving problem spaces, transforming open-ended questions into actionable data products.
- Demonstrated passion for uncovering insights in social, consumer, or behavioral data.
- Background in marketing, the creator economy, or social intelligence is a strong asset.
Where an offer falls within this range is determined through the interview process. Candidates are benchmarked by the hiring team based on role scope, relevant experience, skill alignment, and expected impact, using consistent and objective criteria.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
Solutions Architect
Share this job
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
We have one of the largest and most advanced proprietary data infrastructures in the world, spanning social, customer, and sourced datasets. The next step is transformation - turning that data into scalable, AI-driven solutions that unlock new value for our teams and our clients. We’re seeking a Solution Architect - part innovator, part engineer, part strategist - who can take this immense data foundation and create global-leading, intelligence-based tools, models, and managed solutions. This is a role for a true builder of applied intelligence, capable of bridging advanced data science with real-world business impact.
What You'll Do Here:
- Partner with executive, strategy, and client teams to identify opportunities where data and AI can deliver measurable impact across creator selection, content performance, audience alignment, and trend forecasting.
- Architect and build robust, intelligent dashboards, models, and frameworks that convert complex datasets into intuitive, actionable solutions.
- Design and implement scalable data models and analytical systems that support enterprise-grade use cases.
- Lead the translation of ambiguous business challenges into concrete technical requirements and AI-powered solutions.
- Develop and optimize advanced SQL queries and data pipelines across platforms like Snowflake and BigQuery to operationalize your models.
- Collaborate with the Data Engineering and AI teams to ensure data quality, infrastructure alignment, and system efficiency.
- Build internal enablement tools that democratize insight — empowering non-technical teams to use, understand, and scale data-driven solutions.
- Experiment with and deploy emerging AI methods (LLMs, embeddings, predictive modelling) to surface new intelligence layers from social and behavioural data.
- Champion data-driven culture by educating internal teams on analytics best practices and data literacy.
- Continuously evaluate and introduce new technologies, frameworks, and methodologies that advance our intelligence capabilities.
You'll Need To Have:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business Analytics, or a related field — or equivalent experience demonstrating technical excellence and business fluency.
- 5+ years of experience in Solution Architecture, Data Analytics, Business Intelligence, or similar role, ideally within a data-heavy or AI-enabled environment.
- Expert proficiency in SQL with experience designing performant, complex data transformations.
- Hands-on experience with modern BI platforms such as Sigma, Tableau, Looker, or Power BI.
- Direct experience with Sigma is a strong plus.
- Strong knowledge of cloud data platforms, including Snowflake and Google BigQuery.
- Deep understanding of data modeling, data warehousing, and analytical design principles.
- Product-minded approach with the ability to design intuitive tools and solutions for non-technical users.
- Comfortable operating in ambiguous and fast-evolving problem spaces, transforming open-ended questions into actionable data products.
- Demonstrated passion for uncovering insights in social, consumer, or behavioral data.
- Background in marketing, the creator economy, or social intelligence is a strong asset.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
Director, Business Intelligence
Share this job
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started.
While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!
The Director, Business Intelligence will lead enterprise-wide analytics strategy for a major consumer packaged goods (CPG) organization. This role is responsible for building and leading a high-performing team of analysts delivering actionable insights across sales forecasting, retail performance, campaign measurement, and influencer/paid/social strategy optimization.
This leader will serve as a strategic thought partner to Sales, Marketing, Brand, eCommerce, Finance, and Executive Leadership, translating data into commercial growth opportunities, driving ROI, and embedding analytics into core business decision-making. The role combines strategic vision, technical depth, cross-functional leadership, and team development.
Responsibilities:
- Act as a senior analytics partner to client account, strategy, and service teams by translating client objectives into scalable, best-in-class measurement frameworks that support social-first marketing performance.
- Serve as the senior analytics advisor to executive leadership, shaping marketing, retail, and social investment decisions through data-driven insights.
- Elevate analytics from reporting to strategic advantage by synthesizing data into clear narratives that inform brand positioning, channel strategy, and enterprise decision-making.
- Own end-to-end measurement strategy across paid media, influencer, social, and retail media, ensuring clear linkage between investment and revenue outcomes.
- Forecast and quantify incremental revenue and retail lift across eCommerce and offline retail partners by developing predictive models that connect media spend, influencer engagement, and social performance to sales velocity and conversion.
- Design and operationalize robust ROI frameworks, including brand lift studies, sales lift studies, incrementality testing, multi-touch attribution, and marketing mix modeling, translating insights into optimized channel mix and budget allocation.
- Build scalable measurement systems to evaluate influencer effectiveness, content performance, audience growth, and conversion impact, informing creative strategy and platform optimization.
- Identify emerging consumer and digital engagement trends to inform brand strategy, innovation, and go-to-market planning.
- Build, lead, and mentor a high-performing analytics team, fostering a culture of analytical rigor, commercial acumen, and executive-ready storytelling.
- Design and oversee scalable data collection and reporting infrastructure, including structured databases, automated reporting workflows, dashboards, and standardized presentations.
Qualifications:
- Extensive experience in marketing, media, or agency environments, with demonstrated ability to apply analytics and research to drive client strategy and business outcomes.
- Bachelor’s or Master’s degree in a relevant field (Social Sciences, Statistics, Data Science, Business Analytics, or related discipline), or equivalent practical experience.
- 12+ years of progressive experience in research, analytics, and measurement, with a proven track record of leading complex, high-impact initiatives.
- Advanced expertise in primary and secondary research methodologies, including brand tracking, brand and communications strategy, brand lift studies, regression analysis, Market Mix Modeling, social listening, and digital and site analytics.
- Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure, and BI tools such as Sigma or comparable platforms for scalable reporting and dashboarding.
- Demonstrated ability to architect and optimize analytics workflows, data pipelines, and reporting systems that support automation, scalability, and self-serve insights.
- Strong executive-level communication and collaboration skills, with the ability to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical stakeholders.
- Proven ability to influence cross-functional teams and senior client stakeholders, providing strategic guidance grounded in data, research rigor, and business context.
At Viral Nation, compensation is structured, performance-led, and market-aligned. Pay decisions are intentional, based on role requirements, performance, and market alignment by country, and are set to maintain internal pay equity across comparable roles and levels.
Compensation progression is tied to demonstrated performance, expanded scope, and sustained contribution over time, not tenure alone. Employee compensation is reviewed regularly through formal performance reviews and check-ins to ensure alignment with role expectations and impact.
DEI Commitment:
Viral Nation is committed to diversity, equity and inclusion in our agency. Viral Nation welcomes applications from people with visible and non-visible disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruiting and selection process.
Ready to apply?
Apply to Viral Nation Inc.
Whoa — hold up
JobsRadar was built for real people having a rough time in their job search — not for automated requests. You're clicking way too fast and you're now temporarily blocked.
Come back later. If you're genuinely job hunting, we've got your back — just act like a human.