About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

POS-4092

About the team

HubSpot’s Data Hub helps RevOps, marketing, sales, and customer teams turn fragmented data into actionable intelligence. We unify data across channels and tools, improve data quality, and activate it inside HubSpot so teams can run AI-powered demand generation, smarter campaigns and sales motions, agentic automations, trustworthy reporting, all without needing to be data experts.

We’re a product engineering team at the intersection of data engineering, ML, applied AI, and go-to-market, and we care as much about reliability, cost, and scale as we do about time-to-value and usability for marketers and sales reps.

About the role

We’re looking for a Principal Software Engineer to lead the next evolution of Data Hub as the backbone for data-driven demand generation.

In this role, you’ll:

• Own core pieces of our data lake and analytics stack (e.g., Iceberg, Spark, batch and streaming pipelines) that power demand gen, segmentation, and scoring at scale.
• Design and evolve data systems that balance cost, latency, data freshness, and reliability, making explicit tradeoffs using concepts like CAP theorem, efficient partitioning, and storage layout.
• Partner closely with PM, product analytics, and GTM leaders to shape commercially meaningful solutions: better lead scoring, funnel visibility, audience building, and campaign attribution for marketers and sales.
• Help make Data Hub an AI‑agent‑forward platform, where curated, evergreen datasets automatically feed AI agents and reporting surfaces rather than requiring manual stitching or ad-hoc pipelines.

Principal Engineers at HubSpot are expected to be hands-on builders, strong partners to product and design, and multipliers for the broader engineering organization.

Key expectations:

Technical skills & domain expertise

• Data engineering & storage: Deep experience building large‑scale data systems with Apache Spark and modern table formats like Apache Iceberg, including efficient partitioning, clustering, and file layout for both heavy ingestion and low‑latency reads.
• Distributed systems & tradeoffs: Applies distributed systems principles and CAP theorem pragmatically to design fault‑tolerant, horizontally scalable services that balance availability, consistency, latency, and cost, where it matters.
• Business outcomes: Can turn ambiguous business goals into clear data models, contracts, and SLAs across multiple storage and compute layers (e.g., Iceberg, warehouses, logs, CRM stores).

As a Principal Engineer, you will:

• Own platform-scale outcomes:  Influence technical direction across the Data Hub product line and shape the architecture for unified profiles, segmentation, and datasets that other teams can build on.
• Be a high-leverage, hands-on builder: Write code and build systems while leading end-to-end delivery of high-impact, multi-quarter initiatives, setting standards for reliability, observability, testing, and incident response.
• Lead through architecture and influence:  Define reusable patterns for ingestion, transformation, quality, sync, and observability, mentor senior engineers and tech leads.

Software development excellence & AI

• Use AI code agents:  Actively use AI-assisted development tools to speed iteration, reduce toil (e.g., scaffolding, tests, refactors), and improve code quality, while defining best practices with the human‑in‑the‑loop approach.
• Champion incremental, outcome-focused delivery:  Break down big, ambiguous problems into incremental milestones that deliver value early and often, balancing long-term platform bets with clear business impact (ARR, adoption, usage, efficiency).
• Raise the bar on engineering practices:  Model strong habits around documentation, design reviews, testing, and observability, and help establish reliability and data quality standards so downstream AI agents and data activation use cases can trust the data they receive.

If you enjoy working at the intersection of data engineering, ML, applied AI, and commercial outcomes, and you like building platforms that make complex data approachable for non-experts, we’d love to talk.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day. 

You'll be building and maintaining our next-gen analytics data platform, taking ownership of data and transformations. 

CMT is looking for a Software Engineer I, Data Engineering to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Make contributions to the team using proper software and data engineering practices
• Assist in solving complex problems and transform them into business solutions 
• Help design and implement data platform with a focus on maintainability, usability, scalability, reliability, and performance 
• Implement and maintain ETL pipelines in Spark, SQL, and Python with automated testing based on the requirements 
• Participate in code and design reviews 
• Convert business needs and functional specifications into detailed technical specifications for data pipelines and systems 
• Assist in supporting production issues; this role will be subject to on-call responsibilities (mainly during business hours, as well as occasional nights and weekends) 
• Follow CMT’s development and operational standards and processes 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Computer Science or related field or equivalent years of experience and/or certification 
• Ability to learn quickly and solve complex problems 
• Ability to collaborate in a team environment 
• Ability and willingness to participate in the team’s on-call rotation 
• Ability to do general development tasks on Linux and MacOS 
• Ability to write code in Python and SQL languages 
• Understanding of Agile development methodologies (specifically SCRUM) 
• User-level knowledge of issue tracking systems (specifically Jira) 
• Ability to commute to our Cambridge, MA office 3 days per week

Nice to Haves: 

• Some professional engineering experience preferred 
• Experience with data pipelines preferred 
• Experience with data platforms such as Databricks 
• AWS services such as S3, Glue, SNS, SQS, Kinesis, Redshift 
• Experience creating maintainingTerraform infrastructure-as-a-code, and Jenkins CI/CD pipelines
• Containerizing services using Docker 
• Instrumentation and correlation tracking/statistics with Datadog

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $92,900 to $116,100. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 5+ years of software development experience

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP)

• Knowledge of Spark or PySpark

• Background in mathematics or computer science

• Experience with DevOps tools and practices

• Familiarity with containerization technologies 

• Experience or desire to lead technical teams

MORSE is seeking highly motivated and talented Python Software Engineers to join our innovative team, supporting various projects that provide critical AI, machine learning, simulation, situational awareness, and mission planning capabilities to a diverse range of Department of Defense (DoD) customers.

As a Python Software Engineer at MORSE, you will have the opportunity to work on cutting-edge technology, contributing to the success of our applications and making a meaningful impact on our customers. You will collaborate with a teams of engineers and data scientists to design, develop, and deliver high-quality software products that meet the highest standards of quality, scalability, and reliability.

Responsibilities:

• Design and develop scalable, efficient, and reliable software applications using Python 

• Participate in design reviews, code reviews, and pair programming to ensure high-quality code and knowledge sharing

• Stay up-to-date with the latest software engineering trends, tools, and technologies

• Collaborate with cross-functional teams to deliver high-quality software products, ensuring seamless integration and deployment

• Contribute to the development of new codebases that emphasize object-orientation, modularity, and maintainability

Requirements:

• US citizenship and the ability to obtain a U.S. security clearance (Secret, Top Secret, or TS/SCI)

• Expertise in Python 

• Strong understanding of relational databases and version control systems (e.g., Git)

• Experience with Docker, Docker-compose, or Kubernetes

• Familiarity with Agile development methodologies (Scrum or Kanban) and microservice architecture

• Strong communication skills and self-motivation

• Bachelor's or Master's degree in Computer Science or a related field (or significant professional experience)

• 5+ years of software development experience

Preferred Qualifications:

• Experience with cloud computing platforms (AWS, Azure, GCP)

• Knowledge of Spark or PySpark

• Background in mathematics or computer science

• Experience with DevOps tools and practices

• Familiarity with containerization technologies 

• Experience or desire to lead technical teams

The Principal Data Scientist is a senior individual contributor and technical leader on the Customer Analytics team. This role leads the development and delivery of customer-facing analytics and data science solutions, with a focus on scientific rigor, scalable implementation, and measurable business impact. 

The position partners closely with Customer Solutions, Data Engineering, and Customer Success to translate complex business challenges into production-grade analytics, machine learning, and AI capabilities that improve product outcomes and client value. 

CMT is looking for a Principal Data Scientist I, Customer Analytics to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable. 
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics 
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in a related field 
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles 
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions 
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management 
• Strong data science language in Python (required) and SQL 
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $153,800 to $192,300. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Principal Machine Learning Engineer on the DriveWell Atlas team, you will be at the forefront of developing these next-generation AIs. You will lead innovative projects focused on designing, pre-training, fine-tuning, and deploying these AIs. Your work will directly contribute to enhancing our capabilities in risk assessment, driver engagement, and crash and claims processing. This role requires a deep understanding of modern AI methods, machine learning, physics-informed modeling, and experience with sensor data. We are not tweaking existing models for marginal gain. You will have an opportunity to build a first-of-its-kind LLM from petabyte-scale data. 

CMT is looking for a Principal Machine Learning Engineer, Foundation Models to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to lead the design, pre-training, fine-tuning, and deployment of novel foundation models for vehicle telematics 
• Develop and implement novel algorithms for modeling both automotive physics and human driving behavior 
• Pioneer advanced self-supervised learning techniques, including the design and implementation of innovative tasks tailored to multi-modal telematics sensor data to learn rich representations of movement and driver behavior 
• Develop models robust to noise, missing data, and diverse operating conditions typical of real-world mobile sensor and IoT datasets 
• Build and manage scalable training and inference pipelines using tools like Ray, PyTorch DDP, Horovod, or similar frameworks 
• Integrate these AIs into production systems while ensuring high performance and reliability
• Optimize these AIs for efficient deployment on various platforms, including cloud and edge/mobile devices 
• Collaborate closely with engineering, product, and research teams to translate cutting-edge research into impactful products and features for the DriveWell Atlas platform 
• Mentor junior scientists and contribute to the broader AI/ML strategy at CMT 
• Stay abreast of the latest AI advancements, evaluating and adopting emerging technologies and methodologies relevant to telematics 
• Contribute to efforts in AI explainability and interpretability 
• Complete any tasks as they arise

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field 
• 7+ years of professional experience in AI/ML 
• 3+ years of hands-on experience developing and deploying foundation models, with a strong portfolio in generative AI for sequential or spatio-temporal data 
• Strong, hands-on experience in building and training time-series transformer architectures for complex sensor fusion and behavioral modeling tasks is required 
• Deep expertise in designing pretraining tasks for self-supervised learning on noisy, real-world sensor data 
• Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Extensive experience with deep learning frameworks such as PyTorch (preferred) or TensorFlow for large-scale model training and deployment 
• Solid understanding and practical experience with distributed training techniques and efficient training methodologies for large models 
• Experience building and maintaining large-scale data processing pipelines and machine learning infrastructure using tools like Spark, Airflow, Docker, and cloud platforms (e.g., AWS, GCP, Azure)
• Excellent problem-solving skills and the ability to translate complex business problems into tractable AI-based solutions 
• Strong verbal/written communication and collaboration skills, with the ability to effectively convey complex technical concepts to diverse audiences 
• Product-focused thinking with a proven ability to deliver impactful AI solutions

Nice to Haves: 

• PhD or Master's degree preferred 
• Experience with MLOps practices and tools for managing the lifecycle of machine learning models
• Publications in top-tier AI/ML conferences or journals 
• Familiarity with techniques for model interpretability and explainability (XAI) 
• Awareness of ethical AI principles, bias detection, and mitigation strategies in machine learning models, including experience with or understanding of model guardrails

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $177,000 to $221,300. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

As a Principal Machine Learning Engineer at CMT, you will develop algorithms that represent physical phenomena associated with both vehicle and human movements when measured by cell phone sensors and IoT devices. You will solve challenging real-world problems and assist in the development of innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Using knowledge of statistics, machine learning / deep learning, signal processing, physics, programming and data modeling, the Principal Machine Learning Engineer consults on Data Science projects, and works independently on developing new solutions to achieve CMT’s objectives, and making valuable discoveries which lead to company-wide prototype development and product improvements. 

CMT is looking for a Principal Machine Learning Engineer to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to spearhead the creation of innovative and cutting-edge algorithmic solutions, utilizing unconventional approaches to address complex challenges. These solutions should have a far-reaching impact on the company, and involve the development of new features and products for customers using diverse data sources 
• Lead and mentor a team of talented junior machine learning engineers, guiding them through every phase of solution development, from meticulous data pre-processing and advanced modeling, to rigorous testing, seamless roll-out, and continuous performance monitoring in live production environments
• Demonstrate exceptional communication skills to effectively convey and present complex data science concepts to stakeholders across the organization. Foster a collaborative environment by actively engaging with diverse teams and promoting cross-functional cooperation 
• Stay at the forefront of research and emerging trends in the field of data science. Evaluate and validate the potential impact of incorporating new ideas into the platform, products, and customer experiences, ensuring continuous enhancement and innovation 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics or Mathematics 
• 7+ years of experience in the Data Science field 
• 3+ years of experience developing commercial software with strong algorithmic, AI/machine learning, or signal processing components 
• Deep understanding of data science principles, algorithms and practices, such as deep learning / machine learning, statistics and probability, signal processing, and sensor physics
• Must possess a thorough knowledge and practice of software development process in large scale, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn, SQL
• Advanced knowledge of Big Data infrastructure, computation and storage as well as scalable AI/ML platforms & tools, e.g. Spark, Ray, TensorFlow, Keras, Torch, Caffe, etc. 
• Strong visualization and data literacy skills, with demonstrated ability to summarize mathematical representations into simple data visualizations and statistical results 
• Strong customer-focus and presentation skills with the ability to obtain requirements and influence outcomes

Nice to Haves: 

• Master’s or Ph.D. preferred

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $177,000 to $221,300.  This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

CMT is building DriveWell Atlas, a family of foundation models trained on large-scale, multi-modal telematics signals (e.g., inertial sensors, GPS-derived signals, device/context features) to power safer driving outcomes across risk, safety, crash and claims workflows. 

As an IC2 Foundation Models contributor, you will work closely with senior scientists and engineers to prototype, train, evaluate, and deploy time-series foundation models—while also helping optimize the underlying training/inference systems for scale and efficiency. This role is hands-on, highly technical, and well-suited for someone with strong software fundamentals and growing applied ML experience. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Use independent judgment and discretion to develop ML / DL models which pattern driving behaviors and vehicle kinematics in data collected via smartphone sensors 
• Assist with projects and solutions through the full development stages, from data pre-processing, modeling, testing, through roll-out with minimum management oversight 
• Write code for debugging complex issues and creating new solutions that will run as part of production systems 
• Support customers’ requests regarding the production ML models and derive deep insights from data
• Use independent judgment and discretion to communicate and present data science work within the data science team as well as to stakeholders across the org and to collaborate across different teams 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Statistics, Mathematics or Engineering 
• 2+ years of professional experience in the Data Science field 
• A good understanding of data science principles, algorithms and practices, such as machine learning, deep learning, statistics and probability 
• Knowledge of software development process, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn and SQL 
• Ability to write and navigate code, request data from data sources and code from scratch
• Experience with deep learning frameworks (TensorFlow, Keras, Torch, Caffe, etc.) and knowledge of Big Data infrastructure (Hadoop, Spark, etc.) will be a plus 
• A great team player and quick learner

Nice to haves:

• Experience with one or more of the following:
• • Time-series / sensor modeling (inertial signals, GPS-derived features, mobile/IoT data)
  • Distributed systems or big-data processing (streaming/batch pipelines; e.g., Kafka/Spark/Ray-style ecosystems)
  • GPU programming / performance optimization (CUDA, kernel-level efficiency, profiling/benchmarking, mixed precision training, and memory/performance tuning)
  • Model compression techniques (post-training quantization, pruning)
  • Demonstrated ability to translate ideas into working prototypes (course projects, research, prior roles).

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $123,000 to $153,700. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT’s StreetVision uses AI and behavioral analytics to reveal risky driving hotspots before crashes happen. StreetVision helps traffic safety professionals prioritize projects, select countermeasures, and see what works faster than ever. Integrated AI tools help users understand and interact with StreetVision so that they can quickly explore the data and find what matters.

CMT is looking for a collaborative, customer-committed, and creative Data Science Intern who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Support AI tool development for internal and external users.
• Design and demonstrate capabilities that speed data gathering, statistical analysis, context discovery, and other road safety analysis tasks.  
• Produce relevant analysis and deliver data visualizations, blog posts, presentations, and other materials as needed.
• Communicate findings to internal stakeholders, customers, and the public.

Qualifications:

• Students (Bachelor’s, Master’s, and PhD candidates) and recent grads may apply.
• Strong investigative skills and intellectual curiosity.
• Fluency with statistical analysis and data wrangling: the ability to update and retrieve data, clean it, highlight changes and incongruencies, and deliver understandable insights and opinions on the results. Experience with geospatial data is a plus.
• Familiarity with software tools necessary to manipulate, analyze, and visualize data (e.g., SQL, python, spark, data visualization tools such as Tableau, and visualization of data on maps).
• Strong technical communication skills demonstrated through written, oral, and visual presentation of data for technical and non-technical audiences alike.
• It is NOT necessary to have direct experience developing AI tools. It IS necessary to identify what these tools should produce and to verify the accuracy of the results.

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About The Team

The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.

The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.

About The Role

As a senior technical lead, you consider yourself a platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.

What you'll be doing

• Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design
• Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
• Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
• Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
• Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with cross-function teams and demonstrate great communication skills

We're excited if you have

• 5+ years of experience in delivery multi-tier, highly scalable, distributed web application
• Deep understanding in software architecture, object-oriented design principles, and data structures
• Extensive experience in developing microservices using Java, Python
• Good experience in Test driven development and automating test cases using Java/ Python
• Experience in SQL / NoSQL (Oracle, Cassandra) database design
• Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
• Excellent verbal and written communication skills
• BS or MS degree in Computer Science or equivalent
• Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark
• Experience in developing Finance or HR related applications
• Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
• Working experience with Terraform
• Experience in creating workflows for Apache Airflow

#LI-GL1

About the team

Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku’s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world. 

About the role 

The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better.

What you'll be doing

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform
• Run online AB tests and analyse them against the critical business KPIs
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation
• Help in recruiting new engineers. Interview, train, and mentor new team members

We're excited if you have

• 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
• Strong CS fundamentals. Should be able covert ideas to code with ease
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) 
• Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc.
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred

#LI-MS3

About The Team

The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.

The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.

About The Role

As a senior technical lead, you consider yourself a platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.

What you'll be doing

• Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design
• Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
• Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
• Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
• Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with cross-function teams and demonstrate great communication skills

We're excited if you have

• 5+ years of experience in delivery multi-tier, highly scalable, distributed web application
• Deep understanding in software architecture, object-oriented design principles, and data structures
• Extensive experience in developing microservices using Java, Python
• Good experience in Test driven development and automating test cases using Java/ Python
• Experience in SQL / NoSQL (Oracle, Cassandra) database design
• Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
• Excellent verbal and written communication skills
• BS or MS degree in Computer Science or equivalent
• Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark
• Experience in developing Finance or HR related applications
• Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
• Working experience with Terraform
• Experience in creating workflows for Apache Airflow

#LI-GL1

Philo: a streaming service for TV and movie lovers

At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.

Data at Philo

Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.

Philo’s Data Engineering team encompasses both data engineering and analytics engineering, and we’re looking for people who are comfortable working on complex data infrastructure and modeling challenges that support critical business functions across our streaming services. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you’ll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive.

We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more.

Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies.

The Role

We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering  functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. 

Responsibilities:

• Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization
• Own the team’s roadmap, balancing strategic long-term investments with near-term stakeholder needs
• Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving
• Lead the design and implementation of Philo's data platform architecture, including  setting technical standards and best practices for data engineering and analytics engineering work
• Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions
• Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products
• Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability
• Implement data governance, security, and quality control processes as needed
• Ultimately, deliver on the alchemy of transforming raw, messy application data into trusted business insight through scalable dimensional modeling and a metric layer that faithfully reflects product and customer behavior.

Key Qualifications:

• 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms
• 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization
• Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL
• Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products
• Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports.
• Track record of improving stakeholder trust in reporting and data quality across an organization
• Strong track record of designing and implementing data platforms
• Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences

Ideal Qualifications:

• Experience in media/streaming industry with understanding of video delivery analytics and metrics
• Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth
• Experience with data governance and compliance requirements
• Background in implementing data quality frameworks

More about Philo

At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.

We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.

Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.

Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.

Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.

Join us at Philo and be part of a team that's shaping the future of TV!

Status: Full-time
Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:

• San Francisco, New York City: $240K - $275K
• Boston, DC Metro, Los Angeles, Seattle: $225K - $260K
• Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $215K - $250K
• Texas, Florida: $200K - $235K

We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

• Full health, dental and vision coverage for you and your family
• 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
• Flexible working hours
• Up to 20 weeks of fully paid parental leave
• Unlimited paid time off for vacation and sick leave
• $2,000 annual vacation bonus (we pay you to take a two week vacation)
• $5,250 annually for professional development and educational assistance
• $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
• $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
• Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
• Dog-friendly office
• And much more!

For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Philo: a streaming service for TV and movie lovers

At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.

Data at Philo

Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at a very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.

Philo's Data Engineering team encompasses both data engineering and analytics engineering. As an analytics engineer at Philo, you'll own the data modeling layer that turns raw event and application data into the clean, trusted data products the entire company relies on — from metric definitions and dimensional models to the governed semantic layer that ensures everyone is looking at the same numbers. You'll work closely with data scientists, analysts, and business stakeholders across the organization to understand their analytical needs and translate them into well-modeled, well-documented, and performant data products in dbt and Snowflake.

We are passionate about providing a high-quality, trustworthy data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. Our analytics engineering stack centers on dbt and Snowflake, supported by tools like Segment, Avo, and BigEye for event tracking, data quality, and observability.

Some of the recent projects that analytics engineers at Philo have worked on include building new models for key financial data, dbt model design and refactoring, metric definition and governance, per-query cost optimization in Snowflake, and developing data quality testing and documentation frameworks.

The Role

We're looking for a Senior Analytics Engineer to own and elevate the data modeling layer that powers decision-making across Philo. In this role, you'll be the person who transforms raw, messy application and event data into clean, trusted, well-documented data products that the entire company relies on. You'll design and maintain dimensional models, define and govern key business metrics, and ensure semantic consistency across our data stack — so that when someone asks "what does this number mean?", there's always a clear, reliable answer.

This is a high-impact IC role: you'll partner directly with stakeholders across Finance, Product, Marketing, Ad Sales, and Engineering to deeply understand their analytical needs and translate them into scalable, performant dbt models and data products. You'll also work closely with the data engineering side of the team to ensure the underlying infrastructure supports your modeling work, and with analysts and data scientists to make sure the data you deliver is easy to use, well-tested, and trustworthy.

The ideal candidate has strong opinions about how analytics engineering should be done — how to structure a dbt project, when to denormalize, how to manage slowly changing dimensions, how to build a metric layer that people actually trust — and the experience to back those opinions up.

Responsibilities:

• Design, build, and maintain Philo's core dimensional models and data marts in dbt, serving as an owner of the analytics engineering layer of our data stack
• Define and govern key business metrics and KPIs, ensuring consistent definitions and reliable calculations across all downstream reporting and analytics
• Partner with stakeholders across the organization (Finance, Product, Marketing, Ad Sales, Content, and others) to understand their data needs and translate business questions into well-modeled, performant data products
• Establish and enforce best practices for dbt project structure, model design patterns, documentation, and testing — raising the quality bar for analytics engineering at Philo
• Build and maintain comprehensive data documentation and a data catalog so that analysts, data scientists, and business users can confidently self-serve
• Implement and maintain data quality checks and monitoring (e.g., via dbt tests, BigEye, or similar tools) to proactively catch issues before they reach stakeholders
• Optimize query performance and warehouse cost efficiency in Snowflake through thoughtful model design, materialization strategies, and incremental processing patterns
• Collaborate with data engineers on pipeline design and data ingestion to ensure raw data lands in forms that support clean, efficient downstream modeling
• Drive alignment across teams on data definitions, naming conventions, and a single source of truth — building stakeholder trust in data and reporting over time
• Contribute to the evolution of Philo's overall data platform strategy, particularly as it relates to the semantic/metric layer, data governance, and analytics engineering tooling

Key Qualifications:

• 8+ years of professional experience in analytics engineering, data modeling, or a closely related role, with significant hands-on experience building and maintaining production dbt projects or a similar data transformation tool
• Deep expertise in SQL and dbt, including advanced model design patterns (dimensional modeling, incremental models, slowly changing dimensions, and snapshot strategies)
• Experience developing in a BI tool that leverages semantic layers, such as Mode, Looker, Omni, SSAS Cubes, or similar
• Strong experience with Snowflake or a comparable cloud data warehouse, including performance tuning and cost optimization
• Proven ability to translate ambiguous business questions into clean, well-structured data models that stakeholders trust and rely on
• Experience defining, governing, and maintaining business metrics and KPIs across an organization
• Strong communication skills — you can explain data modeling decisions to a VP of Finance just as clearly as to a fellow engineer
• A strong sense of ownership and quality: you care deeply about data accuracy, documentation, testing, and making the data stack better over time
• Experience working with data quality and observability tools (e.g., BigEye, Elementary, dbt tests, Great Expectations, or similar)

Ideal Qualifications:

• Experience in the media, streaming, or entertainment industry, with familiarity with video delivery analytics, content performance metrics, or advertising data
• Familiarity with event tracking design and tools like Segment or Avo
• Experience with Apache Iceberg, Spark, or other large-scale data processing frameworks
• Familiarity with data governance frameworks and building organizational alignment around a single source of truth
• Experience mentoring junior analytics engineers or analysts

More about Philo

At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.

We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we'll work with you to meet your needs.

Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.

Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.

Join us at Philo and be part of a team that's shaping the future of TV!

Status: Full-time
Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:

• San Francisco, New York City: $170K - $205K
• Boston, DC Metro, Los Angeles, Seattle: $160K - $195K
• Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $185K
• Texas, Florida: $145K - $175K

We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

• Full health, dental and vision coverage for you and your family
• 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
• Flexible working hours
• Up to 20 weeks of fully paid parental leave
• Unlimited paid time off for vacation and sick leave
• $2,000 annual vacation bonus (we pay you to take a two week vacation)
• $5,250 annually for professional development and educational assistance
• $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
• $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
• Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
• Dog-friendly office
• And much more!

For California Residents: Philo's CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About Blank Street

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day.

Start Something Extraordinary…

Baristas at Blank Street must be able to work independently, while also thriving in a team environment. The right person for this role is a proven people-person, taking pride in giving amazing service experiences. You are customer-centric and believe in serving a carefully curated menu with passion and precision, making every effort to give your customers exactly what they need, every day, in their way.

Who We’re Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you’re always ready to make your customers’ day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods, where a sense of urgency is necessary
• Passionate about creating delicious coffee and other cafe beverages
• A strong, independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable maintaining store safety

What you'll own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment (the Eversys cameos and shot masters) and products in the industry to prepare the tastiest drinks
• Complete all training to ensure proper measures are in place to achieve the correct handling of food and beverages to retain their freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Adhere to Health and Safety Regulations and Food Safety Standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participates in all initiatives with the Operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighbourhood customer base

Requirements

• Experience in the customer service or hospitality industry
• Availability that meets the needs of our cafes
• Part-Time: 24 hours per week, 3 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
• Full Time: 35 hours per week, 4-5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorised to work in the UK

About Blank Street

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day.

Start Something Extraordinary…

As a Shift Leader at Blank Street, you are a born player-coach who thrives when working alongside a team to deliver quality products. You are a proven people-person who takes pride in giving amazing service experiences and influencing your team to do the same. You thrive for opportunities to serve your community and make a big local impact. You are customer centric and believe in quality products through flawless execution, making every effort to give your customers exactly what they need, every day, in their way. You excel in fast paced environments and enjoy an inclusive, collaborative workplace, where your voice genuinely counts, and you can really make a difference.

You will spearhead individual, team and location initiatives to drive sales and business performance. Along with supporting your General Manager to lead these important company initiatives, you will regularly meet with the Senior Leadership team to voice feedback, improvements and overall be hands on in the success of your store, your customers and your teams’ best interests. You would be one of the first staff members to work in this location, which means you get the exciting opportunity to set the tone and create lasting connections in the neighbourhood.

Who We’re Looking For

• Love for cafe culture and people
• Friendly, open and approachable person who is able to work well with others
• Strong knowledge of coffee and equipment is a must
• Strong decision-making and multi-tasking skills
• Strong interpersonal communication skills
• Passionate about delivering excellent customer connections to create a regular customer base
• Able to work at a fast pace in high-volume environments
• Be an exemplary ambassador of our brand to new neighbourhoods

What You’ll Own

• Craft beautiful coffee products and serve all Blank Street customers with energy, warmth, and empathy
• Support your GM and our Training Team to help train new employees to succeed at Blank Street, including ensuring that new team members are following all recipes and training for menu items and processes and that they are in the correct uniform, are upbeat and vibes are positive
• Open and close the location safely and responsibly (Key holder) and ensure that cleaning duties for the store are followed at the beginning, during and end of the shift
• Positive and solution-focused handling of any minor customer issue
• At a store level, leads all initiatives with the operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighbourhood customer base for your store

Requirements

• Experience in the customer service or hospitality industry
• Availability that meets the needs of our cafes
• Full Time: 35 hours per week, 5 days of availability required and must be available to work 2 peak days (Peak days: Friday, Saturday, Sunday)
• Availability to work between 6:30 am and 9:00 pm
• Weekend and holiday availability preferred
• You must be authorised to work in the UK

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters. 

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

Join us if you like

• $1.3 Trillion market opportunity
• MIT alumni founders
• Female-led startup
• $130M total funding
• Strong leadership team with experience from many successful startups around the world

Insurify is looking for several Business Data Analysts to be a part of a rotational analytics program. Analysts will have the opportunity to work within our Marketing, Analytics, and Engineering teams to solve cross-functional, high velocity, high impact analytics problems and scale the business using data.This will include a mix of business analytics, analytics engineering, and data science using SQL and Python.

This role is about using data to make our company better across all areas of the business, so we want people who are excited to tackle a wide range of structured and unstructured problems using data! Solutions do not come in neat boxes.

Sample projects:

• Analyze a novel dataset to recommend areas for the business to improve
• Operate and improve a core data product optimizing for multiple competing KPIs 
• Build new data pipelines to support tracking of a new business initiative
• Innovate data modeling and data presentation to drive business understanding
• Improve prediction accuracy of our customer acquisition machine learning bidding algorithms
• Build reports and dashboards to help power the company’s decision making
• Do customer segmentation analysis to discover where to improve Insurify products

Key Skills

• Bachelors in computer science, analytics, economics, or other STEM major required. Masters preferred.
• Strong quantitative and programming skills with a product-driven sensibility.
• Quick learning ability and a drive suitable for the startup hustle.
• A friendly cooperative disposition and an eagerness to learn
• Python (preferred) or R.
• A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!
• Expertise in and real-world experience with SQL.

Nice to have skills

• Website tracking. HTML, Javascript, website tracking analytics, pixel and event tracking
• Familiarity with production data systems, big data, Apache Spark, dbt, and SQL
• R, C++, C#, Javascript
• Any domain specific experience relevant to Marketing, SEO, Retention, Product
• Knowledge of statistics
• Experience in data analysis in consumer / retail / e-Commerce / SaaS