About the Role

The Support Engineer role is a key member of the post-sales team working closely with engineering, sales, customer success, and directly with customers. This person is a technical expert able to assess and resolve setup issues, bugs, or any other technical challenges customers may face (e.g. scripting challenges, data exports). This role is a crucial part of the customer satisfaction function on the team. The ideal person loves to figure out why something is not working and can clearly articulate the best way to resolve – sometimes creatively.

We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more. 

Your Impact

• Act as the first line of support for technical issues raised via support tickets, Slack channels, or through Customer Success Managers, communicating clearly and effectively with both technical and non-technical stakeholders throughout the resolution process.
• Work directly with customers to integrate Northbeam into their ecommerce and analytics infrastructure, or to assess and resolve issues when troubleshooting is required.
• Diagnose and resolve technical issues by analyzing customer implementations, including scripts such as Pixels and Orders APIs.
• Own data quality issues end-to-end, partnering with internal teams to address proactively flagged issues and working with customers to resolve them.
• Escalate complex or product-level issues to Engineering when appropriate, providing clear context and reproduction details.
• Continuously improve external-facing documentation to enable smoother onboarding and more self-serve customer workflows.

Role Characteristics

• Approximately 70–80% of the role is backend-focused, involving debugging data pipelines and investigating logs.
• The role usually works closely with the data and engineering teams, rather than the product teams.
• Success in this role requires strong analytical thinking, attention to detail, and comfort working through ambiguous technical problems.

What You Bring

Experience

• Bachelor's Degree or similar experience preferred, but not required
• 2+ years of software engineering or support engineering experience
• You should be proficient with:
• Writing and editing SQL queries 
• JavaScript and HTML (basics)
• Web based APIs
• 2+ years of experience working directly with customers in a technical or support capacity.
• Strong ability to translate technical concepts into clear, easy-to-follow documentation, emails, and instructions.
• Excellent written and verbal communication skills.

Technical Skills

• Administrator tooling:
• Retool, ActiveAdmin, Django Admin, or other similar tools
• Python (nice to have)
• Proficient in data analytics tools (nice to have)
• Working knowledge of APIs, Datadog, Airflow, Postgres, and BigQuery.

#LI-Remote

About the Role

The Senior Support Engineer role is a key member of the post-sales team working closely with engineering, sales, customer success, and directly with customers. This person is a technical expert able to assess and resolve setup issues, bugs, or any other technical challenges customers may face (e.g. scripting challenges, data exports). This role is a crucial part of the customer satisfaction function on the team. The ideal person loves to figure out why something is not working and can clearly articulate the best way to resolve – sometimes creatively.

We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more. 

Your Impact

• Act as the first line of support for technical issues raised via support tickets, Slack channels, or through Customer Success Managers, communicating clearly and effectively with both technical and non-technical stakeholders throughout the resolution process.
• Work directly with customers to integrate Northbeam into their ecommerce and analytics infrastructure, or to assess and resolve issues when troubleshooting is required.
• Diagnose and resolve technical issues by analyzing customer implementations, including scripts such as Pixels and Orders APIs.
• Own data quality issues end-to-end, partnering with internal teams to address proactively flagged issues and working with customers to resolve them.
• Escalate complex or product-level issues to Engineering when appropriate, providing clear context and reproduction details.
• Continuously improve external-facing documentation to enable smoother onboarding and more self-serve customer workflows.

Role Characteristics

• Approximately 70–80% of the role is backend-focused, involving debugging data pipelines and investigating logs.
• The role usually works closely with the data and engineering teams, rather than the product teams.
• Success in this role requires strong analytical thinking, attention to detail, and comfort working through ambiguous technical problems.

What You Bring

Experience

• Bachelor's Degree or similar experience preferred, but not required
• 2+ years of software engineering or support engineering experience
• You should be proficient with:
• Writing and editing SQL queries 
• JavaScript and HTML (basics)
• Web based APIs
• 2+ years of experience working directly with customers in a technical or support capacity.
• Strong ability to translate technical concepts into clear, easy-to-follow documentation, emails, and instructions.
• Excellent written and verbal communication skills.

Technical Skills

• Administrator tooling:
• Retool, ActiveAdmin, Django Admin, or other similar tools
• Python (nice to have)
• Proficient in data analytics tools (nice to have)
• Working knowledge of APIs, Datadog, Airflow, Postgres, and BigQuery.

#LI-Remote

About the role

As a Technical Implementation Specialist at Northbeam, you will own the customer onboarding and implementation journey for a technically complex marketing and advertising measurement platform built on accurate tracking and attribution. This is a highly cross-functional, customer-facing role for someone who can combine hands-on technical troubleshooting with clear, confident communication. You will guide customers through front-end website tracking, back-end data integrations, and ads tracking setup, helping ensure their data is implemented correctly and ready for use. Success in this role requires strong attention to detail, curiosity, and the ability to investigate issues methodically in environments where every customer setup may be slightly different. You will play a critical role in helping customers get live with healthy, validated data while contributing to a high-quality onboarding experience that supports long-term customer success.

What you'll be doing

• Own and manage customer implementations from post-sale onboarding through data validation, helping customers navigate setup across front-end tracking, back-end integrations, and ads tracking.
• Guide customers through technical implementation steps without directly modifying their systems, providing clear instructions and support throughout the process.
• Troubleshoot implementation issues such as missing page views, javascript placement problems, data mismatches, and integration gaps by investigating websites, code, tracking behavior, and incoming data.
• Validate that customer setups are complete and data quality meets expectations before handing accounts off for ongoing account management.
• Partner with internal teams to maintain visibility into onboarding progress, implementation risks, and blockers that could impact time to go live.
• Manage a queue of active implementations simultaneously, keeping work organized and customers informed as projects move through different stages.
• Translate complex technical concepts into understandable guidance for customers with varying levels of technical knowledge, ensuring a smooth and confident onboarding experience.

What we're looking for

• Proven experience in a customer-facing implementation, onboarding, or technical solutions role within a SaaS environment where tracking and data accuracy are central to the product.
• Strong domain knowledge in MarTech, AdTech, e-commerce, or related ecosystems, especially where website tracking and attribution concepts are part of the implementation process.
• Hands-on familiarity with both client-side and server-side tracking, including concepts such as pixels, scripts, APIs, cookies, UTMs, and event validation.
• Strong troubleshooting instincts and a naturally investigative mindset, with the ability to diagnose issues, test assumptions, and work toward practical solutions independently.
• Excellent communication skills and the ability to work effectively with customers, balancing technical depth with empathy, clarity, and professionalism.
• High attention to detail, strong organization, and a consistent approach to checking work thoroughly to protect implementation quality.
• Comfort operating in a role that requires both technical confidence and polished customer interaction, without relying on rigid playbooks for every scenario.

What you'll need

• Experience supporting implementations that involve website tracking setup, server-side data flows, and QA for technical customer environments.
• Ability to inspect websites and troubleshoot issues using tools such as the browser dev console, source code inspection, and other practical debugging methods.
• Understanding of how data is stitched across systems using identifiers and tracking inputs, including familiarity with concepts like order IDs, revenue data, customer data, and UTMs.
• Experience managing multiple onboarding projects at once while maintaining strong follow-through, clear prioritization, and accurate status tracking.
• Confidence working through ambiguity and resolving nonstandard implementation problems where the root cause is not immediately obvious.
• Strong written and verbal communication skills for documenting implementation progress, explaining requirements, and guiding customers through technical next steps.
• Familiarity with project management and CRM tools is helpful, and comfort using AI tools to improve workflow efficiency is a plus.
• Availability to work effectively with distributed customers and teams; Central or East Coast alignment is preferred, though strong candidates in other locations will also be considered.

About the Data Science Organization 

Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.

About the Role

We are seeking a Staff Data Scientist to advance the statistical and experimentation foundations of Northbeam’s marketing intelligence products, including MMM, Incrementality, Insights, and Recommendation engines.  This is a full-stack data scientist role, operating across the entire lifecycle—from researching and developing advanced statistical and causal inference approaches to implementing, deploying, and maintaining production systems.

You will work at the intersection of R&D and product, owning modeling end-to-end: from data exploration and experimental design to model validation, production integration, and live system iteration. You will bring a deep understanding of statistical modeling techniques and, critically, the assumptions underlying them. This role requires strong judgment in selecting, stress-testing, and adapting models to real-world marketing data where ideal conditions rarely exist.

This is a high-agency, hands-on role, requiring comfort shifting between deep technical work, cross-functional collaboration, and customer-facing problem solving as business needs evolve.

Your Impact

• Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products.
• Enhance the accuracy, robustness, and scalability of existing MMM pipelines.
• Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems.
• Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies.
• Debug data and modeling issues in production and improve the reliability of customer-facing results.
• Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers.

What You Bring

• Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred).
• 6+ years of applied experience in data science, machine learning, or statistical modeling roles.
• Deep applied experience in statistics and causal inference, including hands-on ownership of experiment design (A/B testing, geo-based experiments, or quasi-experimental methods), power analysis, and interpretation of lift.
• Strong understanding of regression, time series modeling, Bayesian methods, and model evaluation in real-world business settings.
• Experience translating statistical research or experimentation frameworks into production-ready systems.
• Proficiency in Python and SQL, with experience working on modern data platforms and statistical modeling libraries.
• Experience working with production code and comfort making changes to live models and pipelines.
• Interest in (or prior experience with) marketing measurement, including MMM and incrementality, with a strong desire to deepen domain expertise.
• Thrives in a small, fast-paced environment, with the ability to drive projects end-to-end.
• Strong communication skills, with comfort explaining technical concepts to non-technical audiences and supporting customer-facing investigations.
• A growth mindset and genuine curiosity about improving measurement quality and decision-making.

Bonus Skills & Experience

• Experience in marketing attribution, MMM, incrementality, or related marketing measurement challenges.
• Experience with optimization techniques (e.g., linear programming, mixed-integer programming) applied in production systems.
• Familiarity with MLOps practices and data pipeline orchestration tools.
• Startup Experiences.
• PhD in a quantitative field. 

Why Northbeam

Unlike most Series A+ companies, we have a proven business model, strong revenue, and a growing waitlist of customers eager for the products we’re building. We are in a high growth phase and we are nearly profitable.

We sit at the center of the performance-marketing ecosystem with deep partnerships across major ad platforms (Meta, Snap, TikTok, AppLovin, and more). Our unique combination of high-quality partner integrations, rich 1st-party data, and a robust identity graph gives us an advantage that is extremely difficult for competitors to replicate.

Northbeam is where top-tier data talent can directly shape the industry’s most important measurement challenges at scale.

#LI-Remote

About the Data Science Organization 

Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.

About the Role

We are seeking a Staff Data Scientist to advance the statistical and experimentation foundations of Northbeam’s marketing intelligence products, including MMM, Incrementality, Insights, and Recommendation engines.  This is a full-stack data scientist role, operating across the entire lifecycle—from researching and developing advanced statistical and causal inference approaches to implementing, deploying, and maintaining production systems.

You will work at the intersection of R&D and product, owning modeling end-to-end: from data exploration and experimental design to model validation, production integration, and live system iteration. You will bring a deep understanding of statistical modeling techniques and, critically, the assumptions underlying them. This role requires strong judgment in selecting, stress-testing, and adapting models to real-world marketing data where ideal conditions rarely exist.

This is a high-agency, hands-on role, requiring comfort shifting between deep technical work, cross-functional collaboration, and customer-facing problem solving as business needs evolve.

Your Impact

• Develop and evolve statistical and causal inference methodologies that strengthen the rigor and reliability of Northbeam’s marketing measurement products.
• Enhance the accuracy, robustness, and scalability of existing MMM pipelines.
• Write production-quality Python and SQL, collaborating closely with Engineering to integrate statistical workflows into scalable systems.
• Rigorously assess model assumptions, identify potential sources of bias, and implement mitigation strategies.
• Debug data and modeling issues in production and improve the reliability of customer-facing results.
• Translate complex statistical reasoning into clear, decision-ready insights for internal stakeholders and customers.

What You Bring

• Bachelor’s degree in Mathematics, Computer Science, or a highly quantitative STEM field (Master’s preferred).
• 6+ years of applied experience in data science, machine learning, or statistical modeling roles.
• Deep applied experience in statistics and causal inference, including hands-on ownership of experiment design (A/B testing, geo-based experiments, or quasi-experimental methods), power analysis, and interpretation of lift.
• Strong understanding of regression, time series modeling, Bayesian methods, and model evaluation in real-world business settings.
• Experience translating statistical research or experimentation frameworks into production-ready systems.
• Proficiency in Python and SQL, with experience working on modern data platforms and statistical modeling libraries.
• Experience working with production code and comfort making changes to live models and pipelines.
• Interest in (or prior experience with) marketing measurement, including MMM and incrementality, with a strong desire to deepen domain expertise.
• Thrives in a small, fast-paced environment, with the ability to drive projects end-to-end.
• Strong communication skills, with comfort explaining technical concepts to non-technical audiences and supporting customer-facing investigations.
• A growth mindset and genuine curiosity about improving measurement quality and decision-making.

Bonus Skills & Experience

• Experience in marketing attribution, MMM, incrementality, or related marketing measurement challenges.
• Experience with optimization techniques (e.g., linear programming, mixed-integer programming) applied in production systems.
• Familiarity with MLOps practices and data pipeline orchestration tools.
• Startup Experiences.
• PhD in a quantitative field. 

Why Northbeam

Unlike most Series A+ companies, we have a proven business model, strong revenue, and a growing waitlist of customers eager for the products we’re building. We are in a high growth phase and we are nearly profitable.

We sit at the center of the performance-marketing ecosystem with deep partnerships across major ad platforms (Meta, Snap, TikTok, AppLovin, and more). Our unique combination of high-quality partner integrations, rich 1st-party data, and a robust identity graph gives us an advantage that is extremely difficult for competitors to replicate.

Northbeam is where top-tier data talent can directly shape the industry’s most important measurement challenges at scale.

#LI-Remote

Your Impact

About the Data Science Organization

Northbeam’s Data Science organization serves as the intelligence layer of the company, owning the end-to-end science behind marketing measurement and optimization. This includes developing and advancing our core methodologies—Media Mix Modeling (MMM), Incrementality testing, causal multi-touch attribution (MTA), calibration and validation frameworks, and large-scale experimentation systems. The team is also responsible for AI-driven insights, recommendations, and the creation of reusable, scalable, and rigorously validated scientific systems that power Northbeam’s product and customer value.

About the Role

Northbeam is at a pivotal stage of evolution. We are hiring a Director of Data Science to help scale our lean, high-impact data science function into a structured, multi-pillar organization supporting MMM, Incrementality, Insights, and Recommendation systems.

The Director of Data Science reports directly to the VP of Data Science and will operate within a lean team today while playing a central role in scaling the organization toward approximately 10 data scientists over the next year.  This role will drive both the technical roadmap and the evolution of the data science organization itself. The role blends strategic leadership with execution excellence,  defining priorities, shaping team structure and operating practices, and guiding resource allocation to maximize impact.

Your Impact

• Own execution of the data science roadmap across MMM, Incrementality, and adjacent modeling initiatives.
• Make technical judgment calls on modeling direction across causal inference, experimentation, time series, and applied ML,  balancing methodological rigor with production priorities.
• Establish repeatable standards for model validation, deployment readiness, and release governance.
• Lead cross-functional initiatives end-to-end, from problem framing through launch, driving clear milestones, accountability, and high-quality standards.
• Manage and develop senior data scientists and technical leads.
• Hire, mentor, and develop top talent while continuously raising the bar through rigorous reviews, coaching, and feedback.
• Develop a deep understanding of customer pain points and desired outcomes, translating them into clear technical requirements and data science solution designs.
• Translate statistical outputs and modeling results into customer-facing features and enterprise-grade solutions.

What You Bring

• 8+ years in data science or ML engineering roles
• 5+ years in people management roles.
• Experience managing at least 5 direct reports, including senior ICs.
• Demonstrated ability to hire, develop, and retain senior technical talent, while building and sustaining a high-performing, inclusive team culture.
• Master’s degree (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
• Proven experience leading multi-team technical initiatives in high-ambiguity environments
• Demonstrated ability to prioritize under constraint and communicate tradeoffs clearly
• Strong technical judgment across causal inference and experimentation frameworks (even if not personally building every model)
• Experience reviewing and guiding modeling approaches across multiple methodologies (not necessarily the deepest modeler, but a strong evaluator of quality).
• Experience deploying production ML/DS systems in collaboration with Engineering.
• Familiarity with modern data platforms and MLOps practices.
• Thrives in a fast-moving startup environment, balancing rigor with speed and pragmatism.
• Cares deeply about your team and their long-term growth and success.

Bonus Skills & Experience

• Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts.
• Prior work in MarTech/AdTech or B2B SaaS.
• PhD  (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field.
• Experience scaling data science teams in early-stage or post-acquisition startup environments.
• Strong communication and narrative skills.

Why Northbeam

Unlike most Series A+ companies, we have a proven business model, strong revenue, and a growing waitlist of customers eager for the products we’re building. We are in a high-growth phase, and we are profitable!

We sit at the center of the performance-marketing ecosystem with deep partnerships across major ad platforms (Meta, Snap, TikTok, AppLovin, and more). Our unique combination of high-quality partner integrations, rich 1st-party data, and a robust identity graph gives us an advantage that is extremely difficult for competitors to replicate.

Northbeam is where top-tier data talent can directly shape the industry’s most important measurement challenges at scale.

About the Role

As a Senior Product Engineer at Northbeam, you will play a critical role in designing, developing, and delivering high-quality fullstack web solutions that support our business. You will own major product features across the stack from design to launch. You'll have close feedback loops with users, Product Managers, and our Customer Success team. You will work closely with a cross-functional team of engineers and domain experts to build a scalable product, implement robust software components, and ensure the reliability and performance of our platform. Your technical expertise, communication skills, and problem-solving ability will contribute to the success of our company and shape the future of our technology stack.

Curiosity, willingness to do the hard thing, attention to developer ergonomics, and an enjoyment of a startup pace of development will be the key to success in this role.

Your Impact

• Identify and solve complex, high-impact problems, leading projects with multiple stakeholders and engineers to deliver significant impact to our business
• Help set technical direction impacting our engineering team
• Work with product managers, our customer success team, and customers to scope projects and build solutions
• Build the Northbeam dashboard, where we surface core marketing analytics
• Own and build features end-to-end yourself from idea to production-ready solution, as well as with engineers across the company
• Optimize our web application for best-in-class speed of development and time to render
• Contribute to the development of standardized, technical documentation for internal and external stakeholders

What You Bring

• 5+ years of expertise in building frontend and backend systems with TypeScript
• 3+ years of expertise with modern component-based libraries such as React
• Experience handling creating API services using REST and GraphQL
• Proficiency in SQL and BigQuery
• Be independent, dedicated, and able to deliver production-ready code with high autonomy and minimal guidance
• Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term systems design.
• Passion for continuous learning and professional growth
• Proven interest and ability to mentor other engineers on the team

Bonus Skills & Experience 

• Proficiency in Python
• Experience building design systems
• Experience optimizing frontends for large amounts of data and time spent loading
• Experience working with data visualization
• Experience working in marketing, e-commerce, or ad-tech

#LI-Remote

About the Role

As a Senior Designer for Marketing Brand and Creative, you will be responsible for helping shape our company's visual identity and developing compelling visual content for various marketing materials. This role combines artistic talent with strategic thinking to ensure that all designs align with business goals and brand guidelines, effectively engaging the target audience. You will work closely with our design agency, our product marketing and messaging team, and our product design team to translate our brand into various marketing materials. In your role, you will help design the company website and the assets within it. Additionally, you will create custom iconography, visuals, animations, presentations, and templates for external marketing collateral.

This position reports directly to our Chief Design Officer.

Your Impact