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

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.

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

A rider taps "request ride" and within seconds, an autonomous vehicle is matched, dispatched, and on its way. The On-Road Experience team owns the systems that make that moment happen. The On-road Experience team builds the real-time distributed system behind Nuro's ride-hailing product. This is foundational infrastructure where correctness and performance have consequences on a real road.

About the Role

This is the perfect role if you love architecting performant, reliable distributed 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!

What you'll own

• Backend services for ride planning, vehicle matching, and real-time trip execution
• Partner API integrations (Uber and others) routing ride requests to Nuro vehicles
• Telemetry pipelines surfacing live vehicle state to riders and operations

About You

• 4+ years of backend engineering experience with strong Go proficiency
• Experience designing and operating distributed systems where reliability isn't optional
• End-to-end product ownership — from requirements through launch and iteration
• Solid hands-on experience with GCP (CloudSQL, BigQuery, Redis, or equivalent)
• A track record of technical leadership: setting the bar, mentoring others, making hard trade-offs

Great to have: dispatch, fleet, location, or delivery/ride platform experience. Even better if you've built systems where the physical world is the end user. 

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-CD1

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 expanding our platform into complex, data-intensive verticals, starting with Structured Finance.

Structured finance workflows, which span asset-level data ingestion, cash flow modeling, tranche structuring, and regulatory reporting, are among the most analytically demanding and operationally complex in the enterprise.

They are also highly manual and fragmented, deeply dependent on data quality  and lineage, and increasingly in need of AI-driven automation and insight generation.

We are looking for a Senior Product Manager who operates as a builder and owner, and who brings strong intuition for structured finance workflows, to help define how these processes evolve in an AI-native world.

You will own a product area end-to-end and shape how financial institutions go from raw financial data → models → insights → decisions → actions.

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
• Define how capabilities such as data preparation, modeling, and analytics come together into cohesive systems
• Make thoughtful trade-offs across customer needs, technical constraints, and business impact
• Think in systems: how does the product support the full lifecycle from asset ingestion to reporting and decisioning

Domain Insight & Discovery

• Develop deep understanding of structured finance workflows, including asset-backed securities (ABS), MBS, CLOs, or similar instruments, loan-level data ingestion and normalization, cash flow modeling and scenario analysis, tranche structuring and risk analysis, amd regulatory and investor reporting.
• Engage directly with customers (banks, asset managers, fintechs) to uncover constraints, inefficiencies, and unmet needs
• Frame complex financial and operational problems into clear, actionable problem statements

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, or financial technology
• Strong understanding of structured finance concepts and workflows, e.g. ABS, MBS, CLOs, etc.
• Experience working closely with engineering teams to deliver technical products
• Experience working with complex, data-intensive systems
• Ability to translate domain-specific problems into clear product requirements
• Strong communication skills, with the ability to simplify complex financial and technical concepts

Preferred

• Experience operating in a high-growth startup environment (Series A–C)
• Experience working in or with investment banks, asset managers, fintechs, or structured finance platforms as well as loan-level datasets, cash flow models, or risk systems
• Familiar with modern data infrastructure, e.g. Snowflake, Databricks, BigQuery, Spark, SQL
• Experience building or shipping AI/ML-powered features in regulated environments
• Comfort using AI tools (LLMs, copilots) to accelerate product thinking and prototyping

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

Why This Role is Unique

• This role sits at the intersection of structured finance domain expertise modern data infrastructure, and AI-native product development
• You’ll have the opportunity to define how one of the most complex and critical areas of financial services is rebuilt for an AI-native world.

Seniority: Mid to Staff Level

Location:  San Francisco, New York, or Remote (United States)

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

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

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

WHAT YOU’LL DO

As a Senior Software Engineer on Viant’s Data team, you will build and optimize the data systems that power our AI-driven DSP, enabling real-time decisioning and measurement across CTV and omnichannel advertising. You’ll work with large-scale datasets and distributed systems in a multi-region cloud environment spanning GCP and AWS.

This role is ideal for an engineer who enjoys solving complex data challenges, improving system performance, and contributing to scalable infrastructure. You’ll collaborate closely with cross-functional teams while delivering reliable, efficient, and high-quality data solutions.

THE DAY-TO-DAY

• Design, develop, and deploy data pipelines and backend services in a cloud environment
• Build and maintain ELT workflows using modern data processing tools and frameworks
• Optimize ETL processes and queries for performance, scalability, and cost efficiency
• Troubleshoot data and system issues in production environments
• Collaborate with product, engineering, and operations teams to deliver features and improvements
• Contribute to system design discussions and implement scalable solutions
• Ensure data quality by identifying inconsistencies and resolving issues
• Support ongoing improvements to system reliability, performance, and maintainability

GREAT TO HAVE

• 5+ years of experience in software engineering, with a focus on data systems or backend development
• Proficiency in one or more programming languages such as Python, Java, or Go
• Experience with GCP (including BigQuery) or other cloud data platforms
• Strong SQL skills and experience working with large-scale datasets
• Familiarity with building APIs, microservices, or distributed systems
• Understanding of ETL/ELT processes and data pipeline architecture
• Experience troubleshooting production systems and performance issues
• Strong problem-solving skills and ability to work in a fast-paced environment

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

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.

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

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.

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 $31 - $44/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.

Technology, Data and Intelligence(TDI) Team(aka Business Technology or IT)

The Technology, Data and Intelligence team is on a mission to accelerate Okta’s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes.  

The Opportunity

The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems — including NetSuite or Oracle (ERP), Conga, Anaplan, and Xactly. The successful candidate will leverage AI, machine learning (ML), NLP, and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance.

What you’ll be doing 

Enterprise Solution Architecture:

• Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives.
• Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.
• Develop and maintain a multi-year roadmap for modernization across ERP, FP&A, Legal, and Sales Compensation systems.
• Ensure systems are designed with identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.

AI and ML Solution Design:

• Architect and implement AI/ML-driven solutions to optimize finance and legal processes — such as predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.
• Partner with Enterprise AI team to operationalize AI/ML Solution/ models within G&A functions, ensuring alignment with business outcomes.
• Have the working knowledge with any of the LLM like Gemini, OpenAI or Claude

System Integration and Data Strategy:

• Ensure seamless data flow across ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly systems using APIs and middleware (Boomi). Define unified data models to support analytics and AI consumption.

Innovation Leadership:

• Identify opportunities to embed generative AI, natural language processing (NLP), and large language model (LLM) capabilities into core Finance and Legal processes, including financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.
• Functional and Technical Design, and lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual efforts 
• Lead from the front piloting, prototyping and demoing the  innovative solutions and newer technologies such as AI and automation

Stakeholder Engagement and Cross-Functional Collaboration:

• Collaborate closely with Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business objectives into scalable, secure, and innovative technology solutions aligned with organizational goals

• Partner closely with Finance, Legal, Compliance, Security, and Engineering leaders to define technology roadmaps aligned with Okta business priorities.
• Translate complex SaaS financial and legal requirements (e.g., revenue recognition, contract risk management, GDPR) into technical solutions.
• Serve as a trusted advisor to leadership on Finance and Legal technology trends such as Subscription/usage-based billing, AI contract analytics, and compliance automation.
• Effectively influence executives and decision-makers on solution architecture, system strategy, and adoption of innovative technologies to drive operational excellence and transformation 

Implementation & Governance

• Support/Lead implementations/enhancement of ERP systems (Oracle, NetSuite, Coupa, Scout, Anaplan) and legal tools (Conga, DocuSign)
• Establish and champion governance frameworks for data privacy, SOX compliance, and access control across Finance and Legal systems.
• Support roll out of Data Governance across the organization by collaborating with the Data Governance, Businesses and the Data warehousing teams

What you’ll bring to the role

     Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
• TOGAF or similar Enterprise Architecture certification is a plus

Experience:

• 15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems(Oracle/Netsuite/SAP), FP&A Systems(Anaplan) and/or CLM systems(Aptus/Conga/Ironclad)
• Excellent storytelling and communication skills—comfortable presenting to both technical and executive stakeholders
• Have multiple ERP (Oracle or Netsuite) full cycle implementation experience
• Deep understanding of the Finance business process areas – Order to Cash, Record to Report, Source to Pay, Plan to Report(FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, Contract Life Cycle Mgmt within Legal Ops
• Demonstrated hands-on experience architecting functional and technical solutions within major business applications, with specific expertise in NetSuite(or Oracle), Aptus/Conga(or IronClad), Anaplan, Coupa, Scout, Tax engines such as Avalara, Vertex or OneSource –  including understanding their data models and APIs in context of solution development and integrations
• Architected and delivered AI Agents using leading LLMs Gemini, OpenAI or Claude 
• Experience with managing a Software and/or Vendor selection keeping in view the end state architecture of the enterprise
• Proficient understanding of  middlewares such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
• Familiar with code, configuration, and system performance standards/reviews to ensure quality, scalability, and compliance with enterprise standards.
• Proficiency with AWS, Azure, or GCP, with knowledge of data lakes/warehouses (Snowflake, Redshift, BigQuery) for SaaS revenue and compliance analytics.
• Identity & Security: knowledge of SSO, OAuth, SAML, SCIM, and Zero Trust principles, with hands-on integration experience in Okta or similar IAM platforms.
• Occasional travel to one of our office locations is expected for project and team collaboration meetings and for organization offsites.
• Passion for innovation, AI adoption, and continuous improvement aligned with Okta’s mission to build secure, intelligent, and connected business systems.

LI#-RA1
#LI-Hybrid

(P23943_3309986)

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.

You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.

This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use:

Netsuite, Coupa, FloQast, BigQuery, AI Tools

What You’ll Do:

Team Leadership & Development

• Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture

• Establish clear goals, priorities, and accountability across the team

• Drive process standardization and documentation to support scalability

Close & Financial Reporting

• Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness

• Review journal entries, account reconciliations, and flux analyses

• Ensure compliance with US GAAP and internal accounting policies

• Partner with Technical Accounting on complex accounting areas and new business initiatives

Systems, Automation & Process Improvement

• Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk

• Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy

• Drive system integrations and improvements across financial systems

Cross-Functional Collaboration

• Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions

• Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure

• Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs

Controls & Compliance

• Strengthen and maintain internal controls over financial reporting

• Support audit processes (internal and external), including preparation of schedules and documentation

• Ensure compliance with SOX and company policies

Skills We’re Looking For:

• Bachelor’s degree in Accounting or Finance; CPA strongly preferred

• 5–7+ years of accounting experience, with a mix of public accounting and industry preferred

• Prior experience in a SaaS or high-growth technology company

• Proven experience managing and developing teams

• Strong understanding of month-end close, general ledger, and financial reporting processes

• Hands-on experience with NetSuite and close automation tools (e.g., FloQast)

• Experience working with large datasets or data tools (e.g., BigQuery) is a plus

• Demonstrated ability to drive process improvements and automation initiatives

• Strong cross-functional communication skills, especially with technical teams

Bonus Skills​:

• Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements

#LI-HYBRID #LI-JG1

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.

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.

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: 

• 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

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:

• 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

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

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary and Impact

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for an Analytics manager who will:

• Develop and execute the analytics strategy aligned with overall business goals, identifying high-impact analytical opportunities. 

• Lead, mentor, and manage a team of analytics professionals (Associates and Senior Associates). 

• Oversee multiple concurrent analytical projects, ensuring timely delivery, quality, and alignment with business objectives and resource allocation. 

• Act as a primary point of contact for senior business stakeholders, understanding their challenges, translating them into analytical problems and presenting solutions. 

• Drive the adoption of advanced analytical techniques and cutting-edge tools to enhance team capabilities and efficiency. 

• Establish and monitor key metrics for team productivity and project success. 

Skills and Experience

If this opportunity looks right for you, we are looking for candidates who have:

• Experience: 3+ years of experience in analytics 

  Technical Skills: 

  • Expert in leading BI platforms (e.g., Tableau, Power BI, Looker) for client reporting. 
  • Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes and Alteryx or data transformation/processing in the cloud (e.g., Azure, GCP, Power Apps, Power Automate).
  • Soft Skills: Exceptional leadership, strategic thinking, problem-solving, and cross-functional collaboration abilities. Proven ability to influence and drive change through data. 
  • Reporting Structure: Reports to a Director or Senior Director of Analytics 

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include access to internal learning platforms, certifications, and training sessions, life insurance, wellness programs, significant paid time off, preferential partner discounts, employee mental health awareness day, and more. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.

 Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy ) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

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

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

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Marketing Business Analyst who will sit at the intersection of B2B marketing strategy and performance analytics, owning clarity and rigor around how we invest and what those investments are delivering. You’ll help marketing leadership see around the corners by digging into what is driving pipeline, where our investment mix is over- or under-weighted, and how performance trends should inform future spend decisions.

You’ll own the reporting layer of the marketing measurement framework, translating attribution methodology defined by Marketing Ops into clear, decision-ready insights. This includes preparing weekly business review materials for VP+ stakeholders and building reporting that connects spend, pipeline, and ROI across channels and programs.

Beyond reporting what happened, you’ll diagnose why it happened and recommend where and how we should adjust investment. You’ll partner across demand generation, field marketing, product marketing, and digital to bring financial and performance discipline to program evaluation, budget allocation, and hypothesis-driven experimentation.

This is a high-visibility role with direct exposure to marketing leadership, requiring strong analytical skills, business judgment, and a deep understanding of how B2B marketing drives revenue.

This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Fivetran, BigQuery, Looker, SFDC, Demandbase, Bizable, Marketo, Google Suite
 

What You’ll Do

Insights & executive reporting

• Partner closely with the corporate analytics function and act as the liaison between marketing leadership and the Analytics team to build actionable and scalable reporting

• Own the weekly and monthly business review process: prepare data and partner with leadership on the narrative

• Conduct ad hoc deep dives to diagnose pipeline trends, campaign anomalies, or funnel conversion issues and proactively surface recommendations

• Support quarterly planning and annual budgeting with data-driven recommendations on channel mix and investment levels

Impact measurement

• Design and maintain models to quantify the impact of marketing programs across the buyer journey

• Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios

• Scope dashboards for opportunity areas and partner with analytics team to make them a reality

• Develop segment- and region-level views of marketing performance to support resource allocation decisions

Experimentation & optimization

• Analyze marketing experiments (A/B tests on landing pages, email sequences, ad creative, offers) to drive continuous improvement

• Build automated dashboards, scorecards, and alerting for key marketing KPIs so teams can self-serve and act quickly on trends

• Partner with Marketing Ops and data engineering to ensure data quality, proper tracking, and consistent taxonomy across systems (Salesforce, Marketo, web analytics)

Skills We’re Looking For

• 5-8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment

• Strong SQL skills and hands-on experience working with cloud data warehouses (Snowflake, BigQuery, or Redshift)

• Proficiency with BI and visualization tools (Looker experience preferred) and the ability to build executive-ready dashboards and reporting
  Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo preferred)

• Deep understanding of B2B SaaS performance metrics, including pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts

• Strong business judgment and a clear point of view, with the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders

• Demonstrated ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations

• Comfort operating in a fast-changing environment, where definitions, targets, and operating models evolve, and the ability to balance speed with analytical rigor

Bonus Skills​

• Python or R proficiency for statistical analysis, automation, or building lightweight models

• Experience with multi-touch attribution platforms (Bizible/Marketo)

• Exposure to experiment design, significance testing, or applied statistics in a marketing context

• Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences

• Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)

• Background in data infrastructure, developer tools, or analytics software industries

#LI-HYBRID #LI-JC1

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.

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

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

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.

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.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role Summary
Senior Analyst role is expected to support the broader analytics team in measuring and validating the effectiveness of paid media for channels including but not limited to, Linear TV, OTT, Social Activation, and Programmatic Activation, Audio, and OOH The Senior Analyst is expected to demonstrate the following skills/experience: strong grasp of  experimental design, specifically covering A/B testing for Brand Impact (brand lift studies) and performance (conversion lift studies). Hands-on skills in data management and data  visualization, quantitative data analysis, problem solving, statistical modeling, and the ability to  develop/analyze business cases. Strong ability to design, customize, and maintain platforms for contract management, business intelligence, and user access. Excellent oral and written communication skills, client focus and the ability to support and enable teamwork, self-motivated and able to operate independently with limited guidance and direction.

Requirements
• Bachelor's degree in a STEM-focused area such as Economics, Computer Science, Mathematics, Physics; a related field or equivalent professional work experience is 
required.
• 2 - 4 years of relevant work experience in analytics.
• Strong analytical abilities and quantitative skills.
• Advanced Google Sheets skills including pivot tables, VLOOKUP, building charts and graphs, etc.
• An understanding of Python and/or SQL (especially BigQuery/GCP) is helpful but not required.
• Experience with data visualization tools such as Tableau, Looker, or PowerBI is a niceto-have.
• A background in statistical modeling (e.g., linear regression) is highly preferred.
• Experience with Google Analytics, Adobe Analytics, and other web analytics tools is preferred but not mandatory.
• Knowledge of media ad servers such as Google Campaign Manager or Meta CAPI would be preferred.
• Strong understanding of media metrics (e.g., buying models, CPV, VCR, GRP) and quantitative business measures.

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.