ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

The Impact You’ll Be Contributing to Moloco:

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity:

• Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
• Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
• Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
• Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
• Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
• Mentor engineers through code reviews, pairing, and design discussions
• Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet

How Do I Know if the Role is Right For Me?

• 5+ years of software engineering experience
• Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
• Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Programming fundamentals, testing, and common algorithms and structures
• Track record of shipping customer-facing products
• Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
• Excellent communication and collaboration skills

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The Impact You’ll Be Contributing to Moloco:

Moloco Commerce Media (MCM) is growing its engineering team to support our expanding number of customers with engineering rigor and efficiency. We are looking for an experienced engineer, who can both lead complicated feature developments from end to end and can provide deep technological consultations both to customers and our business team members alike. Our systems will need to be supported at a global scale handling billions of ad auctions per day, while our cutting-edge machine learning (ML) delivers high performance for advertisers and quality experiences for retail shoppers. The Ad Serving team in MCM engineering is responsible for the foundational systems underlying this platform, closely collaborating with campaign management, data infrastructure, and customer integrations.

The Opportunity:

• Design, develop and operate an end-to-end enterprise platform that remains fast, reliable and secure at scale.
• Build and maintain APIs and features for ad serving, while shaping the technical roadmap for the future of the product.
• Provide technical leadership and guidance for both internal/external engineering teams and cross functional business teams.
• Directly engage with customers to identify gaps, translate real world needs into engineering solutions, and deliver outcomes including legacy platform migrations, data connectors, bespoke features, workflows and analytics.
• Contribute to the strategic vision of the platform, strongly influencing technical decisions and long-term architecture.
• Explore and prototype next generation features including those enabled by generative AI.

How Do I Know if the Role is Right For Me?

• 7+ years software development experience using one or more modern languages such as Java, C++, Go, and Python.
• 2+ years of leadership experience in delivering technical projects with a small (3+) team of engineers. 
• Hands-on experience with large-scale distributed systems, from requirements gathering and design to implementation and production deployment.
• Experience in building platforms for digital advertising or e-commerce applications.
• Experience with cloud-based technologies (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Experience working directly with customers having varying levels of technical knowledge, and translating their ambiguous requirements into actionable roadmaps and technical solutions.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong interpersonal and communication skills, with the ability to build and maintain cross-functional and customer relationships.
• Willingness to travel as needed (up to 15% travel).
• Communication proficiency, capable of elaborating engineering concepts and product features in detail even to non-technical audiences.

The Impact You’ll Be Contributing to Moloco: 

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity: 

• Build and maintain core APIs for the ad campaign lifecycle in MCM: create, target, budget, bid, pace, pause, and approve.
• Deploy reporting and analytics APIs that provide answers to spend, performance, and attribution questions in near real-time and batch.
• Integrate billing and invoicing flows from start to finish: spend tracking, invoice generation, and multi-currency support.
• Design services that remain fast and reliable at scale.
• Collaborate with PM, data science, and partner teams to turn goals into clear milestones and documentation.
• Operate what you build: dashboards, alerts, runbooks, and an on-call rotation that is healthy and respectful.
• Mentor other engineers through code reviews, pairing, and technical design discussions.
• Explore and prototype next-generation features such as advanced ad performance analytics and creative-level reporting across millions of campaign items.

How Do I Know if the Role is Right For Me? 

• 5+ years of software engineering experience using one or more modern languages such as Go, Java, Python 
• Experience with enterprise SaaS applications
• Outstanding problem-solving skills and a passion for delivering high-quality, innovative solutions
• Interest and experience in platforms in the advertising or e-commerce domains
• Experience working with large-scale distributed systems
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.) 
• Programming fundamentals, testing, and common algorithms and structures
• Strong analytical troubleshooting skills
• Growth mindset, with a passion for staying updated on emerging technologies and industry trends, and a willingness to share knowledge and mentor others
• Excellent communication and collaboration skills

ABOUT THE TEAM

Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.

ABOUT THE JOB

As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

ABOUT THE TEAM

Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are
evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.

ABOUT THE JOB

We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data

WHAT YOU’LL DO

Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
Palantir Foundry .
Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
version control, code reviews, and CI/CD.
Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data
warehouse and data lakehouse environments, optimized for both analytical querying and application use.
Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
storage layers.
Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders

REQUIRED QUALIFICATIONS

• 5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.
• Strong programming proficiency in Python.
• Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
• Expert-level SQL and query optimization skills on large-scale datasets.
• Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
• Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
• Must be eligible to obtain and maintain a US Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
• Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
• Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
• Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
• Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
• Familiarity with data visualization tools, such as Tableau

We’re looking for a Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.

This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.

Responsibilities

• Design, build, and maintain scalable data infrastructure for protein engineering campaigns, including ingestion, transformation, validation, storage, and retrieval of large scientific datasets
• Develop secure data pipelines for internal and partner-generated data, with strong attention to access control, data siloing, provenance, auditability, and compliance with data use restrictions
• Own core components of Profluent’s data warehouse and data platform, using Python, GCP, PostgreSQL, BigQuery, and related cloud-native technologies
• Build systems that transform raw experimental, computational, and partner data into structured, reliable, analysis-ready and model-ready datasets
• Establish best practices for data modeling, metadata management, data quality checks, schema evolution, versioning, and documentation
• Collaborate with ML engineers, computational biologists, data scientists, and program stakeholders to understand data requirements and translate them into scalable technical systems
• Improve engineering quality through thoughtful system design, code review, testing, CI/CD, observability, and maintainable development workflows
• Contribute to architectural decisions for how Profluent stores, secures, organizes, and uses data across programs and partnerships

Qualifications

• 5+ years of software engineering, data engineering, or data platform experience
• Strong proficiency in Python and modern software development practices, including git, testing, code review, CI/CD, and production deployment
• Experience designing and operating production data pipelines, data warehouses, and data models at scale
• Hands-on experience with cloud platforms, preferably GCP, and technologies such as BigQuery, PostgreSQL, object storage, workflow orchestration, and containerized services
• Strong understanding of data security, access control, data partitioning or siloing, audit logging, and managing sensitive or restricted datasets
• Experience working with complex, heterogeneous datasets and building systems that make them reliable, discoverable, and usable
• Ability to work independently, make sound technical decisions, and drive projects from ambiguous requirements to production systems
• BS, MS, or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or a related technical field, or equivalent practical experience

Preferences (but not required)

• Experience with scientific, biological, clinical, genomic, laboratory, or high-throughput experimental data
• Experience managing external partner, customer, or restricted-access datasets
• Familiarity with data governance, lineage, metadata systems, schema registries, or data catalogs
• Experience with research data systems, LIMS, ELNs, Benchling, or adjacent scientific platforms
• Background working with ML, data science, computational biology, or cross-disciplinary technical teams
• Interest in learning biology, gene editing, protein design, or machine learning concepts

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

We’re looking for a hands-on engineering manager to lead Profluent’s Lab Informatics Platform team. This team builds the systems scientists use to design experiments, track samples, capture assay data, integrate with Benchling and lab automation, and make experimental data usable for analysis and machine learning.

The ideal candidate is both an experienced people manager and a strong technical lead. You’ll formally manage and mentor a small team while remaining deeply involved in architecture, data modeling, database design, and technical execution. You’ll work closely with wet-lab scientists, automation engineers, data scientists, and ML experts to build practical, scientist-facing tools that make complex experimental workflows scalable, traceable, and actionable.

Responsibilities 

• Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
• Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
• Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
• Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
• Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
• Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery

Qualifications 

• 7+ years of software engineering experience, including at least 2 years managing or leading engineers
• BS, MS, or PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field, or equivalent experience
• Strong technical leadership skills, with a track record of architecting and delivering production-quality software systems
• Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows
• Experience building lab informatics systems, scientific data platforms, LIMS/ELN integrations, research software, or scientist-facing applications
• Experience with data modeling and database design for complex scientific, operational, or experimental workflows
• Demonstrated ability to work closely with scientists and translate ambiguous laboratory workflows into reliable software systems

Preferences (but not required)

• Experience with Benchling, lab automation, instrument data ingestion, sample tracking, or high-throughput experimental data
• Experience with data generated from mammalian or bacterial cell systems, gene editing, protein engineering, or related biological workflows
• Frontend web development experience and interest in building intuitive scientist-facing user interfaces

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Work Authorization Requirement

Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
• Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
• Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
• Scale data annotation labels with applied State-of-the-art ML techniques

About You

• You have a degree in BS, MS.c or Ph.D, plus 1+ years of relevant work experience
• Strong proficiency in Python or similar languages
• Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong proficiency in C++ or other high-performance low-level languages
• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large-scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
• Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines

About You

• B.Sc or M.Sc. plus 1+ years of relevant work experience
• Strong proficiency in Python, C++, or similar languages
• Domain experience: Experience working with large scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data pipelines that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions of the ML components and the overall system.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
• Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
• Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
• Scale data annotation labels with applied State-of-the-art ML techniques

About You

• You have a degree in BS, MS.c or Ph.D, plus 4 years of relevant work experience
• Strong proficiency in Python or similar languages
• Domain experience: Experience working with large-scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
• Engineering leadership: Experience setting team or project product and technical vision, timelines, and prioritization; being a Technical Lead, mentoring and support junior engineers
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong proficiency in C++ or other high-performance low-level languages
• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large-scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data. 

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

• Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation.
• Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
• Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
• Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
• Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines

About You

• B.Sc or M.Sc. plus 4+ years of relevant work experience
• Strong proficiency in Python, C++, or similar languages
• Domain experience: Experience working with large scale data and building scalable & reliable systems / data pipelines; ability to understand and design complex systems
• Engineering leadership: Experience setting team or project product and technical vision, timelines and prioritization; formally or informally being a Tech Lead, mentoring and support junior engineers
• Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
• A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points 

• Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
• Knowledge of data engineering, and its tooling and best practices
• Knowledge of batch and streaming data processing, warehousing, and analytics solutions
• Experience working with large scale distributed data systems
• Experience with system & framework design
• Experience with data workflow orchestration platforms

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We are looking for a GTM Data Analyst Intern to join our Go-To-Market (GTM) Analytics team. In this role, you will work at the intersection of business and data, supporting critical initiatives that drive decision-making across Sales, Marketing, Finance and Revenue Operations.

This internship is designed as a hands-on, high-ownership experience centered around building new and/or migrating existing business-critical dashboards from Looker to Tableau, analyzing data models, performing data validation and producing documentation. You will deeply understand the underlying data, validate business logic, and improve the overall analytics foundation.

The ideal candidate is analytically curious, detail-oriented, and eager to learn how modern data teams operate. You should be comfortable working with data, asking questions, and translating business needs into structured analysis.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

What You'll Do.

• Dashboard Migration: Own the migration of dashboards from Looker to Tableau. Recreate charts, metrics, and filters while ensuring consistency with existing outputs. Develop a deep understanding of underlying queries and business logic to ensure accuracy.
• End-to-End Dashboard Development: Design and build a new Tableau dashboard from scratch using the data models you helped develop. Apply best practices in data visualization to deliver clear, actionable insights.
• Data Modeling & Transformation: Work with dbt to transform raw data into clean, analysis-ready models. Standardize metric definitions, optimize data structures for performance, and ensure models are scalable for business use.
• Data Validation & QA: Validate dashboard outputs against business expectations. Reconcile discrepancies between Looker and Tableau, test edge cases (date ranges, filters, segments), and identify logic or aggregation mismatches.
• Dashboard Documentation: Document key dashboards, including purpose, stakeholders, KPIs, and filters. Define metric logic clearly and capture dependencies across data sources and pipelines to improve transparency and maintainability.
• Data Pipeline Review & Gap Analysis: Review upstream data pipelines to understand how data flows into dashboards. Identify gaps such as missing data, delays, or schema inconsistencies, and recommend improvements to enhance data reliability.
• Final Presentation & Insights: Synthesize your work into a structured presentation. Share key learnings, data quality findings, improvements made, and insights uncovered. Provide recommendations for future GTM analytics investments.

About you

• Currently pursuing a Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, or a related field.
• You are available for a 8-10 week full-time internship during the Summer 2026 cycle.
• Strong foundational knowledge of SQL
• Experience with data visualization tools such as Tableau or Looker is required
• Basic understanding of data modeling or transformation concepts and exposure to dbt and Github
• Familiarity with cloud data warehouses such as Snowflake or BigQuery
• Strong attention to detail with the ability to validate data and identify inconsistencies.
• Comfortable working with structured and unstructured data to answer business questions.
• Eagerness to learn how data systems work end-to-end. Willingness to take ownership of projects and work through ambiguity.
• Ability to clearly document work and communicate findings to both technical and non-technical stakeholders.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• This is a non-exempt role with an estimated hourly rate of $37.99 - $53.85/hr, depending on experience.
• Hands-on experience with modern data tools including Tableau and dbt
• Understanding of how data flows from raw sources to business dashboards
• Experience in data validation, QA, and analytics best practices
• Exposure to real-world GTM data and decision-making processes
• Opportunity to present insights and recommendations to stakeholders

Perks

• Oakland HQ: Work from our beautiful, vibrant office in downtown Oakland with a flexible, hybrid-friendly culture.
• Fully Stocked Kitchen: Enjoy catered lunches, a variety of snacks, and premium coffee to keep you fueled.
• Community & Culture: Engage with "Everlawyers" through various ERGs (Employee Resource Groups) and team-building events.
• Wellness Focus: Access to onsite amenities and programs designed to support your physical and mental well-being.

The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Role Overview

ID.me is seeking a GRC Engineer to design, build, and operate AI agents that automate the compliance lifecycle across FedRAMP, ISO 27001, SOC 2, and Kantara accreditation programs.

This role is a technologist that focuses on solving GRC domain problems with automation and AI.. You will write code and build tooling to scale GRC capabilities and reduce the compliance burden.. You will own engineering AI capabilities while also have the skillset to dive into compliance issues as another set up hands..

The primary initial challenge is automated evidence collection. You will develop programmatic methods to extract evidence from source systems, feed it into evaluation agents, and enable continuous monitoring to replace traditional annual snapshots with ongoing automated assurance.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance

Core Responsibilities

• Own the full development lifecycle for AI agents designed to automate evidence collection, evaluation, and continuous monitoring.
• Serve as the technical lead for LogicGate and our GRC SaaS integrations, ensuring the platform scales with our data needs.
• Develop programmatic methods to extract evidence from source systems (AWS, GCP, GitHub) and feed it into evaluation agents to replace traditional annual audits.
• Act as a high-bandwidth teammate capable of picking up slack in "traditional" GRC areas: policy authoring, change management, and manual controls enforcement.
• Support the team's deep-dive efforts into FedRAMP, ISO 27001, and SOC 2, translating domain expertise into automated agent logic.
• Build and maintain integration layers (MCP servers, APIs) that allow GRC tools to interact seamlessly with our internal ecosystem (Jira, BigQuery).
• Contribute towards preparing compliance documentation, control evidence, and control owners for internal and external audits

Basic Qualifications

• 5+ years of software engineering experience.
• Experience building AI/ML-powered applications or agentic systems.
• Proficiency in Python (or another language) and experience with API integrations/data processing.
• Familiarity with at least one compliance framework (FedRAMP, ISO 27001, SOC 2, or NIST).
• Experience with Git, CI/CD, and deploying production-grade services.

Preferred Qualifications

• Experience with the Anthropic Claude API, Model Context Protocol (MCP), or Claude Agent SDK.
• Experience extracting data from cloud infrastructure (AWS, GCP) or security tooling (SIEM, vulnerability scanners).
• Familiarity with GRC platforms (LogicGate, ServiceNow) or compliance data models.
• Experience with OSCAL (Open Security Controls Assessment Language).
• Background in highly regulated environments (FinTech, GovCloud, Healthcare).

#LI-JS1

We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and beyond, the Baseball Data Platform is the bedrock of all Major League Baseball stats. Used by fans, broadcasters, stadiums, MLB Clubs, and across the league, if you’ve seen a data point about baseball, there's a good chance it started here.

We are seeking software engineers who possess a strong passion for developing new technologies within the baseball industry. This position provides the opportunity to collaborate with world-class engineers, product developers, and designers; contribute to acclaimed and sophisticated applications and systems; influence the innovation of products utilized by millions globally; and work within a highly collaborative, results-oriented team environment.

Responsibilities

Coding

• Write clean, concise, modular code that is easily testable
• Contribute to the Baseball Data API layer that powers baseball stats across the organization
• Design and build consistent, easy to use UIs, working with our operations partners to ensure their needs are met
• Utilize and contribute to applications deployed on Google Cloud Platform (GCP) and at edge inside ballparks

Collaboration

• Participate in an agile environment.
• Participate in the full software development lifecycle (requirements gathering, designing, building, testing and maintenance)
• Collaborate with other engineers in code reviews, pair programming, and design sessions

Technology

• Drive innovation in products utilized by millions globally
• Collaborate with leading data scientists on areas such as data analysis, machine vision, and Natural Language Processing (NLP)
• Introduce and champion technologies you are passionate about
• Develop technology used by all 30 Major League teams, every national and regional broadcast, and across the MLB organization
• Change the way baseball is consumed

Qualifications & Skills

• An undergraduate degree computer science or related field
• An avid learner, independent with excellent problem-solving skills
• Willingness to dive into any part of the system to understand and deliver the best solution
• Eager to learn new technologies and tools
• Ability to collaborate with other engineers
• Experience with modern web technologies (React, TypeScript, NodeJS)
• Experience designing or consuming APIs that serve frontend applications (Java, Spring, SQL, NestJS)
• Familiarity with Terraform
• Exposure to Google Cloud Platform
• Familiar with messaging queues: ActiveMQ, Kafka
• Familiarity with SQL databases like Postgres and SQL concepts
• Knowledge of big data concepts and related languages/tools, such as BigQuery or Bigtable

Salary Range: $90,000 - $120,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

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

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 3+ years of experience in data analytics or a related role in a professional setting.
• 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Experience with Python for data analysis, automation, or scripting.
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.

This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Where you’ll work

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

Responsibilities

• Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
• Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
• Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
• Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
• Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
• Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
• Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
• 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
• Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
• Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
• Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
• Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
• Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
• Experience with dbt for data modeling and transformation.
• Experience building and maintaining data pipelines using orchestration tools such as Airflow.
• Experience working with APIs for data ingestion and integration.
• Familiarity with version control systems (Git).
• Experience in fintech, financial services, or payments.
• Track record of leading cross-functional analytics projects from scoping through delivery.

Compensation

The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

JOB SUMMARY:

The Regional Senior Solutions Architect is a client-facing strategist and pre-sales Data & Analytics leader who helps organizations define and execute their modern data journey. This individual will play a pivotal role in shaping client outcomes, driving pipeline growth, and contributing to Trace3’s go-to-market success.

This senior-level role blends deep technical mastery in data architecture and engineering with the business acumen to influence executive strategy, design scalable architectures, and connect technology decisions to business value. The ideal candidate moves effortlessly between whiteboarding a data platform design, presenting a modernization roadmap to executives, and helping regional sales teams capture and advance opportunities.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Serve as a trusted data advisor to enterprise clients, guiding strategy, modernization, and platform transformation through consultative, outcome-based engagement.
• Lead client discovery and assessment sessions to capture business requirements, define success criteria, and translate needs into actionable architecture recommendations.
• Evaluate enterprise data warehouse, lakehouse, and analytics architectures for feasibility, scalability, risk, and alignment with organizational goals.
• Design and recommend modern data architectures across cloud and hybrid ecosystems (AWS, Azure, GCP, Snowflake, Databricks, Synapse, BigQuery, etc.).
• Develop and deliver executive-ready presentations, proposals, Statements of Work (SOWs), and technical documentation that clearly communicate Trace3’s value and differentiation.
• Produce level-of-effort estimates, solution pricing inputs, and clean pre-sales - to - delivery handoffs to ensure client success and delivery readiness.
• Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions that span Trace3’s broader technology portfolio.
• Partner with the Data & Analytics practice to refine GTM strategy, offerings, and practice positioning.
• Drive pipeline creation and growth through proactive client engagement, opportunity qualification, and strategic pursuit support.
• Build and maintain referenceable client relationships, ensuring long-term trust and measurable outcomes.
• Lead workshops, demos, proofs-of-value (POVs), rapid assessments and thought leadership sessions to educate and inspire clients.
• Provide mentorship and enablement to regional architects, advisors, and account teams to elevate technical competency and sales effectiveness.
• Contribute to Trace3’s market presence through public speaking, events, and content development that reinforce thought leadership.

REQUIRED SKILLS AND EXPERIENCE:

• 10+ years of experience in data architecture, data engineering, or analytics platform design, with at least 3–5 years in a pre-sales, client advisory, or consulting capacity.
• Deep expertise in data architecture and engineering, including data modeling, ingestion pipelines (ETL/ELT), integration frameworks, and performance optimization.
• Proven ability to evaluate, modernize, and architect enterprise data platforms across on-prem and cloud environments.
• Hands-on proficiency with modern data technologies such as Snowflake, Databricks, Microsoft Fabric, Synapse, BigQuery, or similar.
• Strong working knowledge of data governance, observability, analytics enablement, and adjacent technology domains (Cloud, Infrastructure, and Security).
• Demonstrated success driving pipeline and supporting sales cycles from opportunity qualification and solution design through proposal, presentation, and closure.
• Exceptional executive communication, storytelling, and relationship-building
• Experience creating high-quality deliverables including architecture diagrams, proposals, and Statements of Work.
• Strong business acumen and ability to connect data investments to tangible business outcomes and ROI.
• Familiarity with AI/ML applications and their integration into modern data ecosystems is preferred.
• Prior experience working for a consulting or technology organization in a client-facing capacity.
• Ability to operate independently, manage multiple priorities, and lead cross-functional teams.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Relevant certifications (AWS/Azure/GCP Architect, Snowflake SnowPro, Databricks Certified Data Engineer, TOGAF, etc.) highly desired.

We’re rebuilding our data foundation from the ground up - and we’re looking for a Senior Analytics Engineer who thrives at the intersection of data infrastructure, business context, and cross-functional collaboration. If you're excited by the idea of owning foundational systems that will power pricing, personalization, experimentation, and more—this role is for you. 

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About the Team:

As a Senior Analytics Engineer at StubHub, you’ll be a force multiplier for the entire company. You’ll build scalable data products and frameworks that empower analysts, data scientists, and business leaders to make better, faster decisions. You'll bring order to chaos, anticipate data needs before they arise, and partner with stakeholders across engineering, product, and business teams to help us unlock the full value of our data. 

What You'll Do:

• Own the development of cross-functional data models, core business metrics, and self-service dashboards/tools. 
• Build, document, and maintain robust data pipelines using tools like dbt, Airflow, Snowflake, BigQuery, or Databricks. 
• Anticipate and solve common data access patterns across product, marketing, finance, and operations teams. 
• Partner closely with data scientists, analysts, and software engineers—often serving as the bridge between product needs and data infrastructure. 
• Define and scale analytical frameworks that support experimentation, decision-making, and business health monitoring. 
• Act as a domain expert in one or more business areas (e.g., pricing, supply, demand, user growth), becoming a go-to thought partner for leadership. 
• Support real-time and batch data workflows, data governance practices, and metadata/catalog tooling. 

What You've Done:

• 5 - 10 years of experience in analytics engineering, data engineering, or business intelligence in a fast-paced, high-growth environment. 
• Expert SQL skills and strong proficiency in Python (or another programming language like Java). 
• Hands-on experience building data pipelines and models with tools like dbt, Airflow, and Snowflake (or equivalent). 
• Experience with BI tools such as Looker, Tableau, or Mode, and a strong understanding of enabling self-serve analytics. 
• Familiarity with both batch and streaming data processing patterns. 
• An ability to translate messy, real-world business problems into elegant, scalable data systems. 
• A collaborative mindset with a passion for partnering with non-technical stakeholders to unlock insights and drive impact. 
• Familiarity with data governance, observability, and metadata management tools is a plus. 

What We Offer:

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

The Role - Senior Software Engineer, Data Platform

We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.

This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.

What You'll Do

• Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
• Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
• Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
• Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
• Stay up-to-date with emerging technologies and industry trends in data systems and platform development

 Qualifications 

• A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
• A product-minded approach—you understand how our software impacts user experience and business outcomes
• Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
• Excellent collaboration and communication skills, with the ability to influence across teams
• Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
• Hands-on experience designing and operating modern data lakehouse systems (Iceberg, BigQuery, Clickhouse, etc.)
• Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
• Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
• Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms

Preferred Qualifications 

• Experience with Rust
• Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
• History of open source contribution, particularly in the data systems ecosystem

The base salary range for this role is $180,000 - $220,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.  

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

About the role

We are looking for an experienced GTM Systems Architect to join our Revenue Strategy & Operations team and own the architecture design of our go-to-market tech stack. In this role, you will report to our Director of Revenue Operations & Strategy and partner closely with sales, marketing, finance and accounting, legal, and customer success teams to design and implement scalable solutions that power our growth.

You will work at the intersection of business strategy and technical execution, translating complex GTM requirements into robust system configurations and integrations. You don't need to be a developer, but you do need to be deeply fluent in how business systems work together. This is a hands-on and high-impact role where you'll directly influence how our teams engage with customers and drive revenue.

At Applied Intuition, you will:

• Own the design and roadmap of our GTM tech stack, ensuring systems are well-integrated, scalable, and aligned to business needs as we grow
• Architect and implement integrations between Salesforce and other GTM tools (marketing automation, data warehouses, product analytics, customer success platforms, etc.)
• Define and enforce data governance frameworks, data models, and quality standards across the GTM ecosystem
• Identify and implement AI-driven solutions across the GTM process from eliminating manual workflows and automating operational bottlenecks to building standalone tools
• Partner with internal stakeholders to evaluate, select, and onboard new tools or solutions while assessing fit, integration complexity, and downstream impact on reporting and operations
• Monitor system performance, identify bottlenecks, and implement optimizations to ensure reliability and scalability as the organization grows
• Create clear documentation and enable cross-functional teams on how systems work, how to use them, and where to go when things break

We're looking for someone who has:

• 6+ years of experience in GTM systems, revenue operations, or business systems architecture 
• Deep familiarity with Salesforce as a platform, understanding the data models, configuration capabilities, and integration patterns
• Experience designing or governing integrations between CRM and adjacent business systems (ERP, marketing automation, CPQ, CS platforms, data warehouses)
• Strong grasp of quote-to-cash processes and how financial systems like NetSuite connect to GTM workflows
• Track record of translating ambiguous business requirements into clear system design decisions and cross-functional alignment
• Experience working closely with sales, marketing, finance, IT, and legal stakeholders and able to credibly represent system decisions in business terms
• Proficiency with designing data flows, reporting structures, and connecting operational data to business decisions
• Knowledge and experience with other GTM tools like Gong, LinkedIn Sales Navigator, Xactly, DocuSign, Marketo, Clari, etc.

Nice to have:

• Experience working at a high-growth startup
• Familiarity with deployment tools (Change Sets, Salesforce DX, Gearset) and version control concepts
• SQL proficiency and experience with BI tools (Sigma, Tableau, Looker) or data warehouses (Snowflake, BigQuery)
• Understanding of data privacy regulations (GDPR, CCPA, ISO 27001) and security best practices

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $120,000 - $180,000 USD annually.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

The On-road Experience Engineering team is responsible for developing a Ride-hailing Product that leverages Nuro's cutting-edge autonomous vehicle technology. The work involves integrating partner APIs to process ride requests, translating user actions into vehicle controls through vehicle integrations, and managing real-time vehicle and trip statuses.

We are responsible for:

• Delivery services that manage the planning, matching, and execution of rides and deliveries.
• Services that read and transmit vehicle data in real time.
• Web / mobile applications that empower drivers to perform necessary actions on a vehicle.
• API integrations with external partners e.g. Uber.

This is the perfect role if you love architecting performant, reliable backend systems, processing real-time vehicle data, and building the foundational APIs that enable seamless product experiences. The position demands technical excellence, a deep understanding of system design, and a knack for solving tough problems. Come join us in defining the future!

About You

• Bachelor's or Master's degree in Computer Science with 2+ years of relevant work experience.
• Strong proficiency in Python or Go.
• Technical Excellence: Eagerness and capability to delve into implementation details, driving technical standards and best practices across software organizations.
• Product Development Expertise: Demonstrated ability to build, launch, and rapidly iterate on products. You possess end-to-end product development experience, from requirements gathering and scoping to launch and post-launch iteration, with a particular strength in the early stages of development (from zero to one).
• Cloud Platform Proficiency: Strong knowledge of GCP, CloudSQL, BigQuery, or Redis.
• Engineering Leadership: Proven ability to set technical and product vision for teams or projects, including timelines and prioritization. Experience as a formal or informal Tech Lead, mentoring and supporting junior engineers.

Bonus Points

• Domain Expertise: Experience with backend services related to vehicles, location, dispatch, inventory, or order/ride/delivery.
• Product and Business Acumen: A keen interest in the "why" in addition to the "how." You are eager to understand and contribute to product and business requirements, capable of identifying high-impact projects from a list of potential initiatives.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $132,000 and $198,450 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

The On-road Experience Engineering team is responsible for developing a Ride-hailing Product that leverages Nuro's cutting-edge autonomous vehicle technology. The work involves integrating partner APIs to process ride requests, translating user actions into vehicle controls through vehicle integrations, and managing real-time vehicle and trip statuses.

We are responsible for:

• Delivery services that manage the planning, matching, and execution of rides and deliveries.
• Services that read and transmit vehicle data in real time.
• Web / mobile applications that empower drivers to perform necessary actions on a vehicle.
• API integrations with external partners e.g. Uber.

This is the perfect role if you love architecting performant, reliable backend systems, processing real-time vehicle data, and building the foundational APIs that enable seamless product experiences. The position demands technical excellence, a deep understanding of system design, and a knack for solving tough problems. Come join us in defining the future!

About You

• Bachelor's or Master's degree in Computer Science with 4+ years of relevant work experience.
• Strong proficiency in Go.
• Technical Excellence: Eagerness and capability to delve into implementation details, driving technical standards and best practices across software organizations.
• Product Development Expertise: Demonstrated ability to build, launch, and rapidly iterate on products. You possess end-to-end product development experience, from requirements gathering and scoping to launch and post-launch iteration, with a particular strength in the early stages of development (from zero to one).
• Cloud Platform Proficiency: Strong knowledge of GCP, CloudSQL, BigQuery, or Redis.
• Engineering Leadership: Proven ability to set technical and product vision for teams or projects, including timelines and prioritization. Experience as a formal or informal Tech Lead, mentoring and supporting junior engineers.

Bonus Points

• Domain Expertise: Experience with backend services related to vehicles, location, dispatch, inventory, or order/ride/delivery.
• Product and Business Acumen: A keen interest in the "why" in addition to the "how." You are eager to understand and contribute to product and business requirements, capable of identifying high-impact projects from a list of potential initiatives.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Team

This role sits within Nuro’s Core Infrastructure team and partners deeply across every engineering organization — Autonomy, ML Platform, Simulation, Perception, Behavior, Mapping, BATES, and Release Engineering.
Cloud is the substrate the entire company runs on. How efficiently we use it directly determines how many miles we can drive, how many models we can train, and how many scenarios we can validate per dollar. This is one of the highest-leverage engineering roles at Nuro: the systems, guardrails, and patterns you build will shape how thousands of jobs, pipelines, and services are designed and operated across the company.

About the Work

• Own cloud efficiency end-to-end. Identify the highest-ROI opportunities across storage, compute, data, and ML infrastructure, and deliver systems that capture those gains as durable platform behavior, not one-off cleanups.
• Drive cost-aware system design. Partner with teams on architecture and design reviews to ensure new systems are efficient by default. Raise the bar for how engineers reason about storage, retention, data layout, query patterns, compute sizing, and reservation strategy.
• Optimize performance and efficiency at scale. Profile and tune large-scale workloads — BigQuery analytics, data pipelines, simulation storage, ML training, and GKE services — turning expensive, slow jobs into efficient, high-throughput systems.
• Build cost observability and attribution. Deliver real-time visibility, anomaly detection, and fine-grained attribution (SKU, bucket, workload, team) so issues are identified and resolved in hours, not weeks.
• Eliminate systemic waste. Automate lifecycle and tiering (autoclass, archive, scene-based retention), right-size compute, and continuously clean up underutilized or orphaned resources across the fleet.
• Drive cross-org optimization. Partner across engineering to land high-impact improvements (e.g., precision reduction, query tuning, data lifecycle strategies) and convert them into guardrails that prevent regression.
• Establish cost governance. Define and scale processes for budgeting, forecasting, cost reviews, and incident response as Nuro grows. Enable teams to build cost-efficient systems by default through tooling, standards, and education.

About You

• Strong software engineering fundamentals in Python or Go, with experience building and operating production systems end-to-end.
• Experience with public cloud platforms (GCP preferred) including billing, IAM, and resource management.
• Experience with data warehouses (BigQuery, Snowflake, or similar), including query optimization at scale.
• Proven track record of delivering measurable improvements in performance, efficiency, or cost on production systems.
• Strong system design skills, with the ability to evaluate and influence tradeoffs across cost, performance, reliability, and developer experience.
• Ability to operate in ambiguous, cross-team environments and drive initiatives from problem definition to execution.
• Excellent communication skills, including presenting tradeoffs to both engineers and executive stakeholders.
• Bachelor’s degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience.

Bonus Points 

• Experience in FinOps, cloud cost engineering, or large-scale efficiency platforms.
• Deep expertise in GCP at scale (GCS, GKE, BigQuery, Compute Engine, reservations/CUDs, Cloud Monitoring).
• Experience with Terraform, Kubernetes, and infrastructure-as-code.
• Background in data infrastructure, ML systems, or large-scale batch processing.
• Experience building cost attribution, anomaly detection, or forecasting systems on top of cloud billing data.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

About Prophecy 

Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

Why This Role Exists

We are building an AI-native data platform that sits at the intersection of data infrastructure, analytics, and intelligent systems.

We are looking for a Senior Product Manager who operates like a builder and owner, not just a planner, but someone who:

• Thinks in terms of the full data → insights → decisions → actions lifecycle
• Uses AI tools and prototyping to explore ideas before formalizing them
• Balances deep customer understanding with strong technical intuition
• Drives products from concept to production with high ownership and velocity

You will own a product area end-to-end and play a critical role in shaping how analysts interact with data in modern enterprise environments.

What You’ll Do

Product Strategy & Ownership

• Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals
• Translate product vision into clear initiatives and priorities aligned with Prophecy’s broader strategy
• Evaluate opportunities based on impact, effort, and strategic fit, making thoughtful trade-offs
• Think beyond features to systems: how do capabilities fit into the broader data and analytics ecosystem

Customer Insight & Discovery

• Develop deep understanding of analyst workflows across data preparation, transformation, and analysis
• Run continuous discovery through customer interviews, product usage data, sales and support signals, and win/loss analysis
• Frame problems clearly before jumping to solutions
• Understand enterprise constraints including governance, compliance, and operational complexity

AI-Native Product Development

• Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought
• Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications
• Identify where AI-driven capabilities and automation can meaningfully improve user workflows
• Ensure AI features are reliable, explainable, and aligned with enterprise requirements

Product Development & Execution

• Work closely with engineering and design to deliver high-quality product capabilities
• Write clear, structured product specifications grounded in data and user insight
• Define success metrics and track adoption, impact, and effectiveness
• Monitor execution progress, identify risks early, and drive cross-team alignment
• Maintain a high bar for usability, reliability, and product integrity

Cross-Functional Leadership

• Align engineering, design, sales, and customer success around shared outcomes
• Communicate product direction through clear documentation and structured decision-making
• Resolve ambiguity and misalignment quickly to maintain execution momentum
• Contribute to product positioning and narrative through artifacts such as one-pagers, demos, and customer-facing materials

Operational Ownership

• Own the operational health of your product area, including performance monitoring, feature adoption, issue triage, and iteration cycles
• Establish and improve repeatable processes that increase execution speed and predictability

Who You Are

Required

• 5+ years of product management experience in data platforms, analytics products, developer tools, or enterprise software
• Strong understanding of data preparation, analytics workflows, and modern data infrastructure
• Experience working closely with engineering teams to deliver technical products
• Hands-on familiarity with AI-powered products or intelligent systems
• Ability to translate complex problems into clear, actionable product specifications
• Experience working with APIs, SDKs, CLIs, or other developer-facing systems
• Strong written and verbal communication skills

Preferred

• Experience operating in a high-growth startup environment (Series A–C)
• Comfortable using AI tools (LLMs, copilots) to accelerate your own workflow and product thinking
• Ability to prototype ideas, e.g. prompts, workflows, lightweight tools to validate concepts quickly
• Familiarity with technologies such as Spark, SQL, data warehouses, ETL/ELT pipelines, or orchestration systems
• Experience working with enterprise customers and complex data environments
• Ability to interpret product analytics and customer signals to guide decisions

Strongly Preferred

• Experience shipping AI/ML-powered capabilities in data or analytics products
• Deep familiarity with the modern data ecosystem, e.g. Snowflake, Databricks, BigQuery
• Experience building products for regulated industries, e.g. finance, healthcare, pharma with requirements around governance, lineage, and compliance
• Experience navigating enterprise sales cycles and deployment constraints

How You Work

• You operate with a sense of end-to-end ownership and accountability
• You are comfortable with ambiguity and move quickly to create clarity
• You combine product intuition with data-driven decision making
• You use tools including AI to increase leverage and speed
• You care deeply about building products that deliver real, measurable outcomes for customers

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

Vast is looking for a Staff Data Architect, reporting to the Senior Director of Information Systems, to support the development of the data infrastructure and AI-driven capabilities that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location.

Responsibilities:

• Design, architect, and implement scalable enterprise data infrastructure including data lakes, warehouses, and real-time streaming platforms
• Build and maintain robust data pipelines that feed internal AI/ML tools and enable advanced analytics across all departments
• Own end-to-end data architecture from ingestion through transformation to consumption, ensuring data quality, reliability, and security
• Integrate data from complex engineering systems (PLM/Teamcenter), manufacturing systems (MES/MOM), ERP (NetSuite), IoT/sensor networks and other enterprise systems
• Create innovative data solutions that enable AI/ML capabilities for engineering analysis, manufacturing optimization, and supply chain intelligence
• Establish data governance frameworks, standards, and best practices across the organization
• Implement MLOps infrastructure to support model training, deployment, and monitoring
• Build real-time data pipelines from shop floor systems, test equipment, and operational technology (OT) environments
• Collaborate with Engineering, Manufacturing, Supply Chain, and business teams to understand data requirements and deliver BI/AI-ready datasets
• Lead and mentor a high-performing data engineering team, establishing technical standards and fostering a culture of extreme ownership
• Evaluate and implement cutting-edge data technologies including cloud-native services, vector databases, and modern data stack tools
• Optimize data pipelines for performance, cost-efficiency, and scalability
• Implement monitoring, alerting, observability, and disaster recovery capabilities for mission-critical data systems
• Provide technical leadership and strategic guidance on data architecture to executive leadership

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, Computer Engineering, or equivalent work experience
• 8+ years of hands-on experience in data engineering, data architecture, or related fields
• 3+ years of experience in a technical leadership role leading data engineering teams or initiatives
• Proven track record of building enterprise-scale data infrastructure and production data pipelines
• Expert-level proficiency in SQL and Python
• Deep hands-on experience with cloud data platforms (AWS, Azure, or GCP) and associated data services
• Strong experience with modern data processing frameworks (Apache Spark, Kafka, Airflow, or equivalent)
• Demonstrated experience with data warehousing technologies (Snowflake, Databricks, BigQuery, Redshift, or similar)
• Experience supporting AI/ML initiatives with production-grade data pipelines and infrastructure

Preferred Skills & Experience:

• Experience in manufacturing, aerospace, defense, or hardware-intensive industries
• Background integrating data from PLM systems (Teamcenter, Windchill), ERP systems (NetSuite, SAP), and MES/manufacturing execution systems
• Hands-on experience with MLOps tools, feature stores, and machine learning data pipelines
• Knowledge of DevOps/DataOps practices including CI/CD, infrastructure as code (Terraform, CloudFormation), and containerization (Docker, Kubernetes)
• Experience with real-time streaming architectures and event-driven systems
• Familiarity with vector databases, knowledge graphs, and AI/LLM data architectures
• Understanding of dimensional modeling, data vault methodology, and modern data architecture patterns
• Contributions to open-source data engineering projects
• Experience with digital twin architectures or simulation data management
• Strong understanding of data security, compliance, and governance in regulated industries
• Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders
• Proven ability to balance strategic vision with tactical execution in fast-paced startup environments
• Track record of extreme ownership—proactively identifying problems and driving solutions to completion

Additional Requirements:

• Ability to travel up to 10% of the time to other Vast facilities or vendor sites
• Willingness to work extended hours or weekends to support critical mission milestones and production launches
• Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State (export control requirement)

Pay Range:

• Staff Data Architect: $155,800- $221,160

FEQ425R112

The Senior Manager, Partner Strategy & Operations defines the Partner Ecosystem and GTM strategies for SI, Cloud, and ISV channels. This role provides the strategic analysis and operational rigor necessary to scale a high-growth GTM business. You will partner across Partnerships, Sales, Finance, and Data teams to translate partner performance into actionable insights, resource investments, and long-range planning models.

This role reports to the Director of Partner Strategy & Operations.

What You’ll Do

Combine your strategy and operations toolkit with deep data proficiency to lead major partner initiatives including:

• Define the Partner GTM Strategy - set strategic choices for the SI, Cloud, and ISV ecosystems; establish investment frameworks to ensure resources are deployed to the highest-impact areas.
• Trusted Advisor to Partner Leadership - serve as a strategic partner to Partnerships Leadership by defining, tracking, and implementing goals, programs, and strategies; act as the bridge between executive vision and tactical execution.
• Orchestrate Annual & Long-Range Planning - drive the end-to-end planning process for the partner organization, including revenue modeling, investment ROI analysis, headcount forecasting, and capacity setting.
• Lead Executive Synthesis & AI Insights - develop and deliver high-stakes artifacts including Quarterly Business Reviews (QBRs), investment business cases and strategic narratives for Partnerships leadership using a mix of traditional BI and emerging AI tools to provide deeper signal on ecosystem health
• Instrument the Data Foundation - build and oversee the reporting infrastructure; develop dashboards and key performance indicators (KPIs) to track the health of the business and partner productivity.
• Drive Performance Visibility - manage operational cadences and business reviews, providing clear signals on ecosystem health.

Qualifications

• 7+ years in Strategy & Operations, Management Consulting, FP&A, or Business Operations; experience in Enterprise/Mid-Market SaaS preferred.
• Executive Presence & Influence: Proven ability to act as a trusted advisor to senior leadership; comfortable framing complex trade-offs and navigating ambiguity to drive consensus among VPs and cross-functional heads.
• Strategic Storyteller: Exceptional ability to synthesize complex data sets into a 'so-what' narrative; highly skilled in creating compelling executive-level presentations and board materials that lead to clear decisions.
• Data & AI Expert: Advanced proficiency in querying and scoping (SQL, Databricks, BigQuery) and an active interest/proficiency in using AI tools to automate GTM operations and insights.
• Process Architect: Ability to envision E2E process changes, document requirements, and guide execution in partnership with technical teams to solve complex organizational needs.
• GTM Tooling Proficiency: Direct experience with BI and sales tools including Salesforce, Tableau, and automated reporting repositories.
• Stakeholder Management: A track record of building deep, collaborative relationships across global GTM teams (Finance, Sales, Marketing) to ensure the partner strategy is seamlessly integrated.

Success Metrics

• Strategic Alignment: Clearly defined partner goals and programs that align with broader GTM objectives and executive priorities.
• Planning Accuracy: Signal quality of HC forecasting, capacity assumptions, and long-range modeling variance.
• Leadership Trust: Degree of influence on partner investment decisions and the adoption of recommended GTM pivots.
• Ecosystem Productivity: Visibility into and optimization of partner-driven ROI, revenue contribution, and partner efficiency.

How You Operate

• Data-Driven Rigor: Using high-fidelity data and SQL-driven insights to inform every strategic choice.
• High-Stakes Communication: Moving beyond the 'what' of the data to the 'choices' for leadership; providing crisp, decision-oriented synthesis.
• Strategic Ownership: Taking a first-principles approach to the partner ecosystem, identifying where to play and how to win.
• Collaborative Partnership: A 'service-first' mindset, bringing all possible expertise to bear on projects through an expansive internal network.

About The Role

As our Staff Data Engineer, you will own and evolve the foundational data systems that power NexHealth’s analytics and unlock the next generation of customer-facing insights. This is a hands-on, high-ownership role that combines architectural influence with deep execution. We need to expand our data capabilities for scale and improve our daily operations and enable self-service. You will drive the transformation of our data infrastructure.

You will design data pipelines, refactor the warehouse architecture, and lay down the modeling foundations that enable trusted analytics across the company. This work directly supports our mission to become the API for healthcare. With access to a rich and growing corpus of medical data, you will help NexHealth become a leader in data strategy, intelligence, and customer enablement.

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving, and the company is depending on data to unlock its next stage of growth.

What You’ll Do

• Own the Data Platform
  • Lead the architectural evolution of our data warehouse, modeling layer, and pipeline structure
  • Refactor core data models to support fast, self-serve access and shared understanding across teams
  • Build reliable ingestion and transformation systems that abstract over messy or fragmented inputs
  • Take responsibility for the structure, reliability, and extensibility of our warehouse and modeling layers
  • Replace brittle vendor-based pipelines with scalable, maintainable ingestion and transformation infrastructure
  • Build in observability, alerting, and validation to ensure the platform can scale with confidence
• Drive Strategic Data Initiatives
  • Collaborate closely with Staff-level analysts, engineers, and data consumers to unblock their workflows and enable data insights.
  • Partner with software engineers to anticipate and manage upstream schema changes and database shifts
  • Define and enforce clear data contracts and interface boundaries
  • Shape how the company can eventually leverage data science, customer segmentation, and industry-wide insights

What You’ll Bring

• 7+ years of experience in data engineering or software engineering with a focus on building scalable, well-tested systems
• Advanced fluency in SQL and Python with strong instincts around modular modeling, optimization, and abstraction
• Experience building on top of a modern managed data warehouse such as Snowflake, BigQuery, or Redshift
• Proven history of taking ambiguous, fragmented data systems and turning them into reliable, documented, high-trust platforms
• Ability to operate independently at a Staff level with a high sense of ownership
• A background in strong engineering cultures or top-tier product environments where quality, velocity, and ownership coexist
• Passion for clarity, simplicity, and helping teams move faster without cutting corners

P-1011

Job Location: San Francisco Bay Area, CA 

As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. 

The Impact You Will Have

• Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
• Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. 
• Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.
• Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
• Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
• Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.
• Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.
• Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.

What We Look For

• Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
• Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc
• Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.
• Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.
• Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.
• Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. 
• Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. 

About the Role

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work.

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production.

What You'll Work On:

• Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery.
• End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring.
• Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes.
• Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation.
• Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

• BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
• 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
• Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP.
• Solid software engineering skills with proficiency in one or more programming languages, including Python.​​  The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
• Proficiency in SQL is also required for writing complex queries and transforming data.
• Experience building REST API-based services.
• Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.  
• Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data.
• Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines.
• Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
• A passion for quickly learning new technologies and a drive to solve challenging problems.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems 

At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible.

Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more.

Engineers across the company rely on this platform daily to answer questions like:

• How will my new ML model affect contention on the GPU?
• How does a new data format impact onboard logging rate or network contention as more data might be flowing from through the system?
• How much memory should be allocated for this new module, and how does it fit into the overall system budget?

You'll be responsible for development, integration, and the evolution of this platform — from the bare-metal OS and networking layer through the job orchestration and CI/CD integration up to the data analysis and visualization layer. This is a high-ownership, high-autonomy role on a small team where your work directly gates the release velocity of the entire autonomy stack. You'll be the technical DRI for the platform — setting the roadmap, making architectural calls, representing the platform's needs to the leadership team, and ensuring the system scales through multiple hardware generations.

About the Work

• Benchmarking Infrastructure: Develop and maintain the job orchestration layer that schedules, executes, and validates autonomy performance benchmarks across a fleet of physical bench-top systems — integrated into CI/CD pipelines as merge-blocking and release-blocking quality gates.
• Platform Reliability & Observability: Build monitoring, alerting, and self-healing automation for the bench fleet. Proactively identify systemic risks — capacity bottlenecks, hardware degradation patterns, infrastructure single points of failure — before they become outages. Track utilization, failure rates, and capacity trends to ensure the platform scales ahead of organizational demand.
• Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection.
• Statistical Analysis & Experimentation: Work with Data Science to develop rigorous experimentation methodology for performance results from non-deterministic autonomy workloads — including variance analysis, significance testing, and regression detection.
  Bare-Metal & OS Platform: Guide the SRE team through the OS and system-level configuration of bench hardware — including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up — ensuring the platform faithfully reproduces production robot compute behavior.
• Drive Platform & Allocation Strategy: Own the planning lifecycle for the benchmarking fleet across hardware generations. Partner with engineering and program leadership to negotiate hardware allocation, model utilization scenarios under real-world constraints, and present data-backed trade-off recommendations — balancing testing coverage, user throughput, cost, and SLA commitments against finite physical resources.
• Cross-Functional Collaboration: Partner with Hardware Engineering, NPI (New Product Introduction), SRE (Site Reliability Engineering), Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure. 

About You

• Experience: 5+ years of industry software engineering experience. 
• Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability.
• Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows.
• Systems & Infrastructure: Deep comfort with Linux systems — you've configured kernels, debugged boot issues, written systemd units, or managed bare-metal infrastructure. You understand networking, storage, and compute at a level beyond "it just works."
• Technical Leadership: Experience setting technical vision and roadmap for a project or platform, driving alignment across multiple stakeholders. You've independently identified the cross-functional partners needed to unblock and deliver, and you've briefed senior engineering leadership on trade-offs and recommendations.
• AI-Native: You treat AI as a core part of your engineering workflow, not an occasional shortcut — you use agentic tooling (e.g., Claude Code) across the development lifecycle and you understand the boundaries of when AI output demands extra scrutiny versus when it accelerates you.
• Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery.

Bonus Points:

• Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI).
• Experience in robotics or AV, particularly with NVIDIA DriveOS stack.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,000 and $275,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems 

At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible.

Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more.

Engineers across the company rely on this platform daily to answer questions like:

• How will my new ML model affect contention on the GPU?
• How does a new data format impact onboard logging rate or network contention as more data might be flowing from through the system?
• How much memory should be allocated for this new module, and how does it fit into the overall system budget?

You'll be responsible for development, integration, and the evolution of this platform — from the bare-metal OS and networking layer through the job orchestration and CI/CD integration up to the data analysis and visualization layer. This is a high-ownership, high-autonomy role on a small team where your work directly gates the release velocity of the entire autonomy stack. You'll be the technical DRI for the platform — setting the roadmap, making architectural calls, representing the platform's needs to the leadership team, and ensuring the system scales through multiple hardware generations.

About the Work

• Benchmarking Infrastructure: Develop and maintain the job orchestration layer that schedules, executes, and validates autonomy performance benchmarks across a fleet of physical bench-top systems — integrated into CI/CD pipelines as merge-blocking and release-blocking quality gates.
• Platform Reliability & Observability: Build monitoring, alerting, and self-healing automation for the bench fleet. Proactively identify systemic risks — capacity bottlenecks, hardware degradation patterns, infrastructure single points of failure — before they become outages. Track utilization, failure rates, and capacity trends to ensure the platform scales ahead of organizational demand.
• Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection.
• Statistical Analysis & Experimentation: Work with Data Science to develop rigorous experimentation methodology for performance results from non-deterministic autonomy workloads — including variance analysis, significance testing, and regression detection.
  Bare-Metal & OS Platform: Guide the SRE team through the OS and system-level configuration of bench hardware — including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up — ensuring the platform faithfully reproduces production robot compute behavior.
• Drive Platform & Allocation Strategy: Own the planning lifecycle for the benchmarking fleet across hardware generations. Partner with engineering and program leadership to negotiate hardware allocation, model utilization scenarios under real-world constraints, and present data-backed trade-off recommendations — balancing testing coverage, user throughput, cost, and SLA commitments against finite physical resources.
• Cross-Functional Collaboration: Partner with Hardware Engineering, NPI (New Product Introduction), SRE (Site Reliability Engineering), Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure. 

About You

• Experience: 3+ years of industry software engineering experience. 
• Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability.
• Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows.
• Systems & Infrastructure: Deep comfort with Linux systems — you've configured kernels, debugged boot issues, written systemd units, or managed bare-metal infrastructure. You understand networking, storage, and compute at a level beyond "it just works."
• Technical Leadership: Experience setting technical vision and roadmap for a project or platform, driving alignment across multiple stakeholders. You've independently identified the cross-functional partners needed to unblock and deliver, and you've briefed senior engineering leadership on trade-offs and recommendations.
• AI-Native: You treat AI as a core part of your engineering workflow, not an occasional shortcut — you use agentic tooling (e.g., Claude Code) across the development lifecycle and you understand the boundaries of when AI output demands extra scrutiny versus when it accelerates you.
• Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery.

Bonus Points:

• Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI).
• Experience in robotics or AV, particularly with NVIDIA DriveOS stack.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $152,000 and $228,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

About the Role

We are seeking an experienced Senior Data Architect as part of our unified data mesh platform.  Reporting to the Sr. Director of Data Management, this role will be responsible for setting the data foundations and models for our Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

We are looking for a Data Architect/Modeler with deep expertise in modern cloud architectures and the Data Mesh approach. You will be responsible for designing the structural foundations of our data products, ensuring they are interoperable, scalable, and trustworthy. You will bridge the gap between complex business requirements and high-performance technical design, acting as the primary blueprint designer for our global data lifecycle.

What You Will Do

• Architect & Model: Design and manage data domains to enable the creation of interoperable, trustworthy data products.
• Cloud Infrastructure: Build and optimize Oura’s Data Lakehouse leveraging Databricks, Google Big Query, and Snowflake to process Terabyte-Petabyte scale data.
• Data Mesh Governance: Implement federated data governance within the data mesh to ensure processes meet privacy, compliance (HIPAA/PHI), and security requirements.
• Collaborate: Partner with Data Engineering, Data Science, and Business Domain owners to advocate for unified analytics and modeling best practices.
• AI Readiness: Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI.
• Standardization: Establish scalable data management frameworks and a governed data dictionary to enable organizational self-service.

What You Have

Experience: 8+ years of experience in data architecture or modeling, with a strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure).

Based on the provided job description and industry standards for modern data ecosystems, the following skillsets are required for a Data Architect focusing on Data Lakes, Enterprise Data Warehouses (EDW), and Advanced Analytics:

Cloud Platform & Infrastructure Mastery

• Multi-Cloud Expertise: Hands-on expertise in major cloud platforms including AWS (S3, Kinesis, Glue, Athena), GCP (BigQuery, VertexAI), or Azure.
• Modern Data Warehousing: Proficiency in designing and managing cloud-native warehouses like Snowflake or Google BigQuery.
• Lakehouse Architecture: Ability to build and operate a Unified Global Lakehouse that merges the flexibility of a data lake with the management of a warehouse.
• Containerization & Workflows: Experience with Docker, Pulumi and various workflow engines to manage complex data processing tasks.

Data Modeling & Strategy

• Data Mesh Principles: Familiarity with the Data Mesh approach, specifically managing federated data governance and decentralized data ownership.
• Lifecycle Management: Capability to lead the entire data lifecycle, from initial data definition to final delivery and consumption.
• Standardization: Expertise in Master Data Management (MDM) and Reference Data Management (RDM) to ensure consistency across the enterprise.
• Schema Design: Proficiency in using modern formats like Iceberg and transformation tools like dbt to maintain high-quality data structures including dbt Cloud on Databricks for SQL-based modeling (bronze/silver/gold)

Advanced Analytics & AI Readiness

• AI/ML Integration: Experience with production-quality AI/ML and predictive modeling, leveraging platforms like VertexAI and MLOps frameworks.
• LLM & NLP Design: Skill in designing architectures for Large Language Models (LLM) using Retrieval Augmented Generation (RAG) and vector-based data designs.
• Automated Insights: Ability to design systems for predictive analytics, anomaly detection, and automated reporting.
• Agentic AI: Familiarity with Agentic AI to deliver interactive, intelligent dashboards and self-serve capabilities.

Governance, Security & Compliance

• Data Residency: Knowledge of global data residency requirements and privacy standards.
• Regulatory Standards: Expertise in establishing HIPAA and PHI (Protected Health Information) standards within regulated environments.
• Quality Assurance: Championing best practices for data accuracy, reliability, and trustworthiness through rigorous validation and peer review.

Technical Foundations & Tools

• Programming & Processing: Broad knowledge of software fundamentals and stream processing using Kafka, Kinesis, Python, Spark and SQL.
• Integration/Integration: Expertise in integrating diverse data sources, including transactional, product, and compliance data into a centralized function using tools such as dbt, fivetran
• Orchestration: job and task automation and scheduler design using tools such as Airflow, Dagster, dbt, Databricks Lakeflow
• Observability: Design for high availability and performance bottlenecks including long running high cost tasks.
• Distributed processing: Spark (via Databricks) for large-scale ETL/ML. 

Nice to Have

• Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries.
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, finance, sales, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs with cost tiering
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

Staff Architect  

Role Overview 

We’re looking for a Staff Architect to lead architecture and technical delivery for a major domain within 6sense’s Revenue Intelligence platform (e.g., real-time signals ingestion & processing, ML inference/serving, multi-tenant data isolation, or GTM integrations & activation). 

This is a senior individual contributor role focused on high-leverage system design + execution leadership: driving architecture for complex initiatives, partnering closely with engineering and product leaders, and ensuring solutions are scalable, resilient, secure, and operable. You will be hands-on where it matters—through reference implementations, prototypes, and deep technical guidance that helps teams ship. 

Key Responsibilities 

Domain Architecture Ownership 

• Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements. 

• Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders. 

• Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews. 

Delivery Enablement (Hands-on Leadership) 

• Provide hands-on technical leadership through reference implementations, prototypes/POCs, and critical-path contributions when needed. 

• Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy). 

• Help teams build “operable” systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking. 

Data & Signal Processing (if domain-aligned) 

• Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data. 

• Drive improvements to data quality, lineage, observability, and freshness SLAs. 

AI/ML Serving (if domain-aligned) 

• Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts. 

• Partner with data science and ML engineering to productionize reliable, scalable ML systems. 

Multi-Tenant & Platform Foundations (if domain-aligned) 

• Drive patterns for tenant isolation, tenant-aware configuration, partitioning strategy, and scalable onboarding. 

• Identify and mitigate risks around compliance, data integrity, and access control. 

Integration & Activation  

• Lead architecture for integrations with CRM/MAP/GTM tools (Salesforce, HubSpot, Marketo, Outreach, etc.). 

• Establish patterns for reliable data activation (idempotency, retries, backfills, versioning, and extensibility). 

Engineering Excellence & Mentorship 

• Raise the bar through design reviews, technical mentorship, and knowledge-sharing. 

• Contribute to architecture standards and reusable patterns; participate in architecture forums/councils. 

• Identify architectural risks early and drive mitigation plans. 

 Required Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 

• 8+ years in software engineering with significant focus on distributed systems and system design   

• Demonstrated experience designing and delivering data-intensive, distributed, cloud-based systems. 

• Strong understanding of:  

• Distributed systems, reliability, scalability, fault tolerance 

• Microservices/event-driven architectures 

• API design, data modeling, integration patterns 

• Observability and operability (metrics/logging/tracing, incident learnings) 

• Experience with a major cloud platform (AWS, GCP, or Azure). 

• Ability to influence across teams through clear communication, strong design rationale, and pragmatic decision-making. 

 Preferred Qualifications 

• Experience in B2B SaaS, MarTech/AdTech/Revenue Tech, or similar data-heavy product environments. 

• Experience with streaming/batch data systems (Kafka/Flink/Spark or equivalents). 

• Familiarity with OLAP/analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). 

• Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner. 

• Experience designing multi-tenant data and service architectures. 

What Success Looks Like 

• A well-defined domain architecture that enables teams to ship confidently and operate reliably in production. 

• Reduced latency/freshness gaps, improved reliability/SLOs, and improved cost-to-serve within your domain. 

• Faster onboarding of new data sources/integrations or faster rollout of new AI-driven capabilities (depending on domain). 

• Strong cross-team alignment, fewer architectural surprises, and smoother delivery of major initiatives. 

 Why 6sense 

You’ll work on systems that directly shape how B2B revenue teams find and win customers—at massive data scale, with real-time signals, ML-driven predictions, and deep integrations across the GTM stack. 

Base Salary Range: $209,496.00 - $307,260.80. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

The Routing Team crafts vital services that ensure Nuro Driver™ reaches destinations safely and efficiently. We continuously refine our routing engine to calculate more efficient routes, deliver highly accurate ETAs, and manage scalable traffic for every journey, adapting as our business / geolocation expands and mapping infrastructure evolves.

About the Work

• You will work on building and scaling both the backend systems and onboard modules for the Routing team. This includes everything from designing microservices, optimizing our routing algorithms, understanding road network graphs, building monitoring and analytics infrastructure, optimizing our deployment pipeline, and more.
• You will work with product, strategy, and operations teams to design and build new, magical user experiences, and define our product strategy and roadmap.

About You

• Technical excellence.
  • You have at least 2+ years of building and scaling realtime server-side applications. 
  • You have worked on large-scale complex algorithm problems, and know how to balance correctness and performance.
  • You are proficient in C++ programming
  • You know how to choose the right storage technology for the job. You have experience with a wide-range of databases, including relational (PostgreSQL, MySQL), non-relational (BigTable, Cassandra, Redis, etc), and data warehouses (BigQuery, Snowflake, etc).
  • You know your way around RPC frameworks (gRPC, Thrift) and pubsub systems (Kafka, Cloud PubSub, Celery, etc). 
  • Experience in training and inferencing ML models.
  • You have extensive experience working with cloud providers (GCP, AWS, etc).
  • You have experience working with Docker & Kubernetes, or are willing to learn.
• You have a wide-range of technical skills, you love learning new technologies and you’re a quick learner.
• You have a passion for making lives easier for developers. You love working on tooling that will help engineers more easily troubleshoot, debug, and profile their applications.
• You have the knack for making the right tradeoffs. You know when it makes sense to take the quick-and-dirty vs the scalable approach. You can move fluently between the two.
• You care about users. You like to work closely with product and design to build the best product for our consumers.
• You are a great communicator, and you regularly chat with PMs, UXRs, other engineers, and cross-functional stakeholders on product requirements and designs.
• You are impact-driven. You care deeply that your work makes a significant impact on the lives of millions of people.

Bonus Points

• Experience with routing algorithms
• Experience with map data and graph data structures
• Experience with robotics
• Experience with ETA modeling 

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $145,000 and $219,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

The Routing Team crafts vital services that ensure Nuro Driver™ reaches destinations safely and efficiently. We continuously refine our routing engine to calculate more efficient routes, deliver highly accurate ETAs, and manage scalable traffic for every journey, adapting as our business / geolocation expands and mapping infrastructure evolves.

About the Work

• You will work on building and scaling both the backend systems and onboard modules for the Routing team. This includes everything from designing microservices, optimizing our routing algorithms, understanding road network graphs, building monitoring and analytics infrastructure, optimizing our deployment pipeline, and more.
• You will work with product, strategy, and operations teams to design and build new, magical user experiences, and define our product strategy and roadmap.

About You

• Technical excellence.
  • You have 8+ years of experience building and scaling realtime server-side applications. 
  • You have worked on large-scale complex algorithm problems, and know how to balance correctness and performance.
  • You are proficient in C++ programming
  • You know how to choose the right storage technology for the job. You have experience with a wide-range of databases, including relational (PostgreSQL, MySQL), non-relational (BigTable, Cassandra, Redis, etc), and data warehouses (BigQuery, Snowflake, etc).
  • You know your way around RPC frameworks (gRPC, Thrift) and pubsub systems (Kafka, Cloud PubSub, Celery, etc). 
  • Experience in training and inferencing ML models.
  • You have extensive experience working with cloud providers (GCP, AWS, etc).
  • You have experience working with Docker & Kubernetes, or are willing to learn.
• You have a wide-range of technical skills, you love learning new technologies and you’re a quick learner.
• You have a passion for making lives easier for developers. You love working on tooling that will help engineers more easily troubleshoot, debug, and profile their applications.
• You have the knack for making the right tradeoffs. You know when it makes sense to take the quick-and-dirty vs the scalable approach. You can move fluently between the two.
• You care about users. You like to work closely with product and design to build the best product for our consumers.
• You are a great communicator, and you regularly chat with PMs, UXRs, other engineers, and cross-functional stakeholders on product requirements and designs.
• You are impact-driven. You care deeply that your work makes a significant impact on the lives of millions of people.

Bonus Points

• Experience with routing algorithms
• Experience with map data and graph data structures
• Experience with robotics
• Experience with ETA modeling 

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $213,480 and $319,720 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

The Routing Team crafts vital services that ensure Nuro Driver™ reaches destinations safely and efficiently. We continuously refine our routing engine to calculate more efficient routes, deliver highly accurate ETAs, and manage scalable traffic for every journey, adapting as our business / geolocation expands and mapping infrastructure evolves.

About the Work

• You will work on building and scaling both the backend systems and onboard modules for the Routing team. This includes everything from designing microservices, optimizing our routing algorithms, understanding road network graphs, building monitoring and analytics infrastructure, optimizing our deployment pipeline, and more.
• You will work with product, strategy, and operations teams to design and build new, magical user experiences, and define our product strategy and roadmap.

About You

• Technical excellence.
  • You have at least 3-5 years of building and scaling realtime server-side applications. 
  • You have worked on large-scale complex algorithm problems, and know how to balance correctness and performance.
  • You are proficient in C++ programming
  • You know how to choose the right storage technology for the job. You have experience with a wide-range of databases, including relational (PostgreSQL, MySQL), non-relational (BigTable, Cassandra, Redis, etc), and data warehouses (BigQuery, Snowflake, etc).
  • You know your way around RPC frameworks (gRPC, Thrift) and pubsub systems (Kafka, Cloud PubSub, Celery, etc). 
  • Experience in training and inferencing ML models.
  • You have extensive experience working with cloud providers (GCP, AWS, etc).
  • You have experience working with Docker & Kubernetes, or are willing to learn.
• You have a wide-range of technical skills, you love learning new technologies and you’re a quick learner.
• You have a passion for making lives easier for developers. You love working on tooling that will help engineers more easily troubleshoot, debug, and profile their applications.
• You have the knack for making the right tradeoffs. You know when it makes sense to take the quick-and-dirty vs the scalable approach. You can move fluently between the two.
• You care about users. You like to work closely with product and design to build the best product for our consumers.
• You are a great communicator, and you regularly chat with PMs, UXRs, other engineers, and cross-functional stakeholders on product requirements and designs.
• You are impact-driven. You care deeply that your work makes a significant impact on the lives of millions of people.

Bonus Points

• Experience with routing algorithms
• Experience with map data and graph data structures
• Experience with robotics
• Experience with ETA modeling 

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $176,400 and $264,600 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices.

Work Location: This position is based in our Los Angeles office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Become the expert on your team's business and technical domains.
• Lead the planning, execution and release of complex technical projects.
• Work with partners, product managers, and designers to solve challenging problems.
• Collaborate with other engineers on the team to improve technology and apply best practices.
• Implement step-wise technical migrations of our existing services and applications.
• Own small to medium features or infrastructure projects from technical design through completion with little required guidance.
• Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners.
• Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments
• Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!
• Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems.
• Demonstrates solid understanding of the practical application of CS concepts within their team.
• Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.

Bonus Points

• Experience supporting libraries and writing in Python and Golang.
• Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes.
• Experience working in data and engineering tooling, e.g. discovery libraries, data replication, data transfer tools, authentication, authorization libraries.

The Company

DataHub is the leading AI & Data Context Platform, trusted by more than 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Built with the strength of an open-source community of 13,000+ members, our metadata graph technology provides unmatched scalability, extensibility, and in-depth visibility into AI and data assets.

Our SaaS offering, DataHub Cloud, delivers AI-powered discovery, observability, and governance — empowering organizations to accelerate time-to-value, ensure AI reliability, and bring order to data chaos.

We’re growing fast, and we’re looking for people who are as customer-obsessed as they are technically strong.

The Role

We are seeking a gifted and resourceful Customer Centric Engineer (CCE) to serve as the bridge between our customers and Engineering teams. This is beyond traditional support — it’s a hybrid role where you’ll provide advanced troubleshooting, help guide onboarding, and partner with Engineering and Product teams to shape both the customer experience and the evolution of DataHub itself.

What You’ll Do

• Provide advanced technical support to our growing customer base via multiple channels (Zendesk, Zoom, Slack).
• Troubleshoot complex issues spanning software configuration, networking, and integrations — including analyzing logs, reproducing issues, and debugging code.
• Ensure our customers achieve fast and lasting success with DataHub.
• Act as a trusted advisor, helping customers optimize their usage and proactively address gaps or inefficiencies.
• Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
• Monitor customer health metrics and advocate internally (alongside our Customer Success team) for improvements based on customer feedback.
• Contribute to customer-facing resources: FAQs, troubleshooting guides, training materials, and knowledge base articles.
• Continuously expand your technical skill set through training, certifications, and self-directed learning.
  
  

What You’ll Bring

• 5+ years of experience in software engineering, data engineering, or supporting complex enterprise applications.
• Expertise and understanding of Python; general understanding of frontend technologies like React, TypeScript, JavaScript, etc.; experience with data pipelines, ELT processes, and the modern data stack.
• Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
• Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP). Understanding of (and experience with) modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.)
• Experience with UNIX commands and system administration/navigation
• Experience troubleshooting and debugging code in enterprise environments.
• Excellent written and verbal communication skills — able to explain technical detail clearly to customers at all levels.
• A passion for helping customers succeed and a mindset rooted in collaboration and empathy.
• An appetite for working in a fast-paced startup environment.
• Bachelor’s degree in Computer Science or equivalent practical experience.
  
  

Why Join DataHub?

• Direct impact: Shape the Support function and influence the customer experience.
• Technical depth: Work across software, data platforms, cloud, and modern DevOps.
• Growth culture: A collaborative, diverse, and inclusive environment where learning never stops.
• Competitive package: Salary, health benefits, and equity. You’ll have an ownership stake in the company.

About Augment Code

Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context  Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built.

About the Role

We're looking for a Product Data Analyst to join our Data team, reporting directly to the Head of Analytics. In this role, you'll transform our data into strategic insights that drive product decisions, marketing effectiveness, and business growth. With an analytical mindset, you'll build powerful dashboards and metrics frameworks that illuminate user behavior patterns, acquisition channels, and conversion funnels while providing actionable intelligence across the organization.

This high-impact role sits at the intersection of product analytics and growth marketing. You'll own our metrics architecture, produce in-depth analyses, and find innovative ways to communicate insights to stakeholders across the organization. You'll have the unique opportunity to collaborate with our AI researchers, software engineers, marketing team, and leadership to translate complex data into compelling narratives that guide both product evolution and go-to-market strategies.

Key Responsibilities

Product Analytics

• Develop comprehensive analytics strategies to extract meaningful insights from product usage data
• Define, implement, and maintain key product metrics that accurately measure user engagement, feature adoption, and overall product health
• Conduct in-depth analysis of user journeys, identifying friction points and opportunities for product enhancement
• Design, implement, and analyze A/B tests to measure the impact of product changes and guide feature prioritization

Growth & Marketing Analytics

• Build acquisition, activation, retention, referral, and revenue metrics framework to optimize the full user lifecycle
• Analyze marketing channel performance and attribution to inform customer acquisition strategy
• Identify cohort behaviors and conversion patterns to improve self-serve adoption
• Create performance dashboards for marketing campaigns and growth initiatives

Technical Implementation

• Build and optimize data models using dbt and BigQuery to ensure efficient and reliable data processing
• Design interactive Hex dashboards that visualize both product and marketing performance
• Ensure proper event tracking and data collection across the user journey
• Maintain data quality standards and governance practices

Cross-functional Impact

• Transform complex data into compelling narratives that influence product and marketing decisions
• Partner with product, engineering, and marketing teams to ensure data-driven decision making
• Democratize data access through self-service analytics tools and documentation
• Proactively identify growth opportunities through data exploration

Qualifications

• 2-4 years of experience in product analytics, growth analytics, or data science roles
• Strong proficiency in SQL for complex data analysis
• Experience with data visualization tools (preferably Hex)
• Understanding of both product and marketing metrics that drive business value
• Ability to translate business questions into analytical frameworks
• Experience with dbt and BigQuery preferred
• Familiarity with the developer tools space a plus

The Intangibles We Value

• Low ego and a huge dose of GSD (Get Stuff Done)
• Genuine curiosity about emerging technologies and developer trends
• Strategic thinking combined with execution excellence
• Creative problem-solving approach
• Data-driven mindset for measuring and improving performance

Perks & Benefits

We invest in creating an environment where you can do your best work and enjoy showing up.

• Comprehensive medical, dental, and vision coverage
• Unlimited paid time off
• Mental health and family-forming support
• Commuter benefits, including pre-tax options and a monthly stipend
• Daily lunch, stocked kitchens, and regular in-office events
• Thoughtful office setups, plus workspace and tools stipends
• Onsite gym access and a pet-friendly HQ
• A collaborative, in-person culture built around connection and momentum

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.

Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura.

About the Role

We are seeking an experienced analytics platform leader as the Director for the Data Analytics team.  In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue.

You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth.

What You Will Do

• Vision & roadmap for analytics: Define and execute the analytics data lifecycle (business metrics, KPI frameworks, data products, governance) tied to company OKRs and growth objectives.
• Strategic problem framing: Translate ambiguous, cross‑functional business problems into clear analytical roadmaps and prioritised portfolios of work. 
• Executive communication & storytelling: Convert complex data into clear, actionable insights for senior stakeholders across Finance, Marketing, Sales, Product, Hardware/Supply Chain, Membership, Commercial, CX, Clinical, etc. 
• Collaboration: Independently collaborate with different stakeholders including Data Management, Data Engineering, Data Scientists, Research Operations, Testing, Software, Firmware, and Hardware to define and implement improvements and new functionality and support internal Data lakehouse consumers in their day-to-day work.
• Cross‑functional influence: Serve as a trusted advisor to business and technical leaders; drive alignment and adoption of analytics standards, metrics, and tools across domains.
• People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact.
• Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. 

• Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products.  Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection 
• Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements.
• Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally
• Translate complex data into clear, actionable insights for stakeholders at all levels. 
• Data Literacy:  Enable global KPI metrics dashboard with a governed data dictionary to enable self service
• Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data 

What You Have

• 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams.
• Proven ability to lead the data lifecycle from definition through delivery; Master & Reference Data Management (MDM/RDM) expertise.
• Hands‑on leadership of data mesh delivery, management, and governance.
• Track record building scalable governance frameworks that uphold data quality and integrity.
• Experience building a data‑driven culture and self‑service decision‑making; delivering measurable business outcomes and actionable insights; passion for data literacy.
• Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent.
• Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing.
• Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift.
• Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed.
• Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting
• Experience leading data mesh delivery, management and governance
• Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. 
• Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth 
• Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI.
• You are self-motivated, proactive, and able to lead and manage your own work effectively
• A pragmatic and goal oriented approach to development

Nice to Have

• Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries.
• Data and Platform Architecture, Agentic AI and ML Ops platform experience
• Security & compliance - determined to establish excellent HIPAA, PHI, GDPR,  Healthcare data governance, privacy, and compliance standards in regulated environments
• Familiarity and experience with the Data Mesh architecture
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Hands-on expertise in cloud platforms (AWS, GCP, or Azure), data mesh (Databricks, BigQuery or Redshift), and modern architectures 
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, finance, sales, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs 
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $226,100 - $266,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

The Role

We’re seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints.

You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions.

You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience.

Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA 

What You'll Do

• Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions.
• Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale.
• Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process.
• Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift.
• Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable.

What You've Done

• 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred.
• Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost).
• Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement.
• Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL.
• Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact.
• Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences.

Nice to have:

• Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety.
• Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring.
• Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS.

What We Offer

• Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
• Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
• Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.