Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

As a Sr. Research Scientist on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Sr. Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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.

Tech Lead – Data Scientist

About the Role

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

• Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
• Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
• Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.

What We’re Looking For

• 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
• A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
• Expert-level proficiency in Python and modern ML/data tooling.
• Working knowledge of core security domains, or a strong ability to learn.
• Experience formulating fuzzy business or security problems as concrete ML/data problems:
• able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
• comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

• Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

P-1549

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Mission

Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.

We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:

1. Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
2. Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.

If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.

What You Will Do

• Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
• Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
• Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
• Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
• Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
• Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
• Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
• Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
• Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.

What We're Looking For

• 10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
• Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
• Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
• Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
• Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
• Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
• Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
• Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.

Nice to Have

• Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
• Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
• Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
• Experience training or fine-tuning embedding models, rerankers, or query understanding models.

Why This Role

• Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
• Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
• The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.

Location

This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.

We are looking for a Senior Data Engineer to join our Data & ML Platform team, responsible for development, maintenance and support for Oura’s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do: 

• Build, operate, and improve Oura’s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.
• Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.
• Ensure that our data platform and processes meet privacy, compliance, and security requirements.
• Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.
• Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.
• Write code, mostly in Python and SQL  with occasional additions Typescript, Java or some other language.

We would love to have you on our team if you have:

• 5+ years of experience developing and operating production systems.
• Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
• Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.
• Ability to design robust data models and pipelines, with attention to data accuracy and integrity.
• Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.
• Demonstrated skills in writing well-structured, testable, and high-performance code.
• Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.
• You are self-motivated, proactive, and able to lead and manage your own work effectively.
• A pragmatic and goal oriented approach to development.

What Makes You Stand Out

• Real-life experience with Databricks.
• Familiarity and experience with the Data Mesh approach
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages

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
• Region 2 $159,000 - $187,000
• Region 3 $148,000 - $174,000

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

GAQ127R112

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks is looking for a Senior Financial Analyst to join our G&A FP&A Team in our mission to help data teams solve the world's toughest problems. You will report to the Sr. Finance Manager, and will be a key finance partner to the G&A organizations.

You will serve as a trusted advisor to provide the financial insights, analysis, and guidance to optimize investment decisions and accelerate business growth. You will improve forecast reliability, enhance corporate reporting, partner with IT, People and Legal across different levels, and help the business to be successful and achieve its goals, grounded in financial reality and modeling, and analysis.

The impact you will have:

• Be the key Finance partner to IT, People and Legal leaders and their teams, including:
• Partner with the business to drive forecast accuracy
• Prepare and own budget vs. actual variance analysis and other relevant reporting
• Build, maintain and improve detailed financial models that track and analyze functional costs and their impact cross-functionally and on the company’s overall performance, including but not limited to the Recruiting Capacity model and IT CAPEX forecast
• Collaborate with the Accounting on accruals and other elements of the close process
• Assist with and manage frequent ad hoc requests and strategic projects to support senior leaders in making informed business decisions
• Participate in the company’s long-range strategic planning
• Lead process and system improvement and scaling projects for your area to drive the company’s continued growth and scaling.  

What we look for:

• Bachelor's Degree in Business, Finance, Economics, Accounting, or a comparable quantitative field
• 4+ years of FP&A, Strategic Finance, or related experience (e.g., Investment Banking, Management Consulting), with a focus on technology; familiarity with the software industry, SaaS business, or consumption-based models
• Experience with supporting G&A functions is a plus
• Experience in building financial models independently and preparing recommendations
• Excellent analytical, organizational, and collaboration skills
• Knowledge of generally accepted accounting principles and experience with GAAP and non-GAAP financial metrics
• High competency with systems such as Anaplan or Pigment, Workday, Netsuite, Salesforce, Coupa, and Zip
• Prior experience using SQL or willingness to learn is a plus

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

• Remote - San Francisco
• Remote - Texas 
• Remote - NYC
• Remote - Boston 
• Remote - Chicago 
• Remote - Seattle 
• Remote - Atlanta 

We are looking for a Sales Director to join our growing business. You will lead an existing team of Enterprise Account Executives and you will be measured by achieving your team’s overall quota, new logo acquisition, and growing Databricks usage. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President.

The impact you will have:

• Lead, grow and inspire the Enterprise Account Executives to help them overachieve on their goals and objectives.
• Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
• Develop trust-based relationships with customers and partners to ensure long-term success.
• Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.
• Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

What we look for:

• You live the Databricks’ core values and instill them in the team you are leading.
• You will have 5+ years of successfully building and leading high-growth new logo sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
• History of exceeding quota and thriving in hyper-growth Enterprise technology companies.
• Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
• Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.
• With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical. 

OVERVIEW

We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering strategy and execution. This role will be responsible for building and scaling a modern data platform that supports business intelligence, personalization, supply chain optimization, and AI/ML initiatives across the organization.

RESPONSIBILITIES

• Lead and mentor a high-performing team of data engineers and architects.
• Design and implement scalable, secure, and efficient data pipelines and infrastructure.
• Partner with business leaders, product managers, and data scientists to deliver data solutions that drive business impact.
• Oversee the development and maintenance of data lakes, data warehouses, and real-time streaming systems.
• Establish best practices for data governance, quality, and compliance (e.g., GDPR, CCPA).
• Evaluate and implement modern data tools and platforms (e.g., Snowflake, Databricks, Airflow, dbt).
• Drive innovation in data architecture to support personalization, predictive analytics, and AI/ML capabilities.
• Manage vendor relationships and ensure cost-effective use of third-party data services.

QUALIFICATIONS

• 8-10+ years of experience in data engineering or related fields, with at least 5 years in a leadership role.
• Proven experience building and scaling cloud-based data platforms (AWS, GCP, or Azure).
• Expertise in SQL, Python, Spark, and modern data stack tools.
• Strong understanding of data modeling, ETL/ELT processes, and real-time data processing.
• Experience supporting e-commerce, retail, or consumer brands is a plus.
• Excellent communication and stakeholder management skills.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

The base salary range for this position is $250,000-$280,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description

As a research engineer on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a research engineer on the Scaling Team at Databricks, you will: 

• Drive performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns
• Design, implement, and optimize high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures
• Design and implement distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations
• Profile, debug, and optimize end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training.

What We Look for

• BS/MS/PhD in Computer Science or related field with hands-on experience writing and tuning CUDA kernels for ML training applications, or hands-on experience in distributed training frameworks (PyTorch DDP, DeepSpeed, Megatron-LM, FSDP) 
• Strong understanding of NVIDIA GPU architecture (memory hierarchy, tensor cores, warp scheduling, SM occupancy) and proficiency with CUDA debugging/profiling tools (Nsight, NVProf)
• Deep understanding of parallelism techniques and memory optimization strategies for large-scale model training, with proven ability to debug and optimize distributed workloads
• Strong software engineering skills in Python and PyTorch, with experience supporting production training workflows and knowledge of LLM training dynamics including hyperparameter tuning and optimization strategies.

Candidates in the listed location(s) are encouraged for this role:

• Remote - San Francisco

As a Strategic Hunter Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over strategic accounts, and will be responsible for closing new customers and growing consumption. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 

The impact you will have:

• You will have a direct influence on the data strategy of the most disruptive companies today
• You will communicate account strategy to Databricks Senior Leadership on a regular basis
• You will allocate Databricks resources to break into new accounts and grow existing accounts
• Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
• Exceed activity, pipeline, and revenue targets
• You will use a creative, fail-fast approach to selling and creating value for customers
• You will build a plan for success internally at Databricks and externally with your accounts

What we look for:

• Passion for selling a highly technical product in the cloud
• 6+ years of experience with Open Source Technologies and build vs buy decision-making
• 6 -8 years of experience with Value Selling Methodologies
• A creative salesperson with a well-defined prospecting motion
• Sales experience within big data, Cloud, or SaaS sales
• Proven years of experience exceeding sales quotas
• Success closing new accounts 

Sr. Staff Site Reliability Engineer

As a Sr. Staff SRE at Obsidian, you will define and drive the company-wide reliability vision for a complex, multi-tenant SaaS platform serving enterprise and financial customers. You will operate as a strategic partner to DevOps and Platform Engineering leadership, shaping a unified reliability strategy that scales across the organization.

Your core mandate: ensure Obsidian detects, diagnoses, and communicates system issues before customers are impacted—consistently and predictably.

This is a hands-on technical role that involves architecting and leading the implementation of systems that handle real-world complexity, including upstream SaaS dependencies, sparse and noisy signals, and mission-critical enterprise workloads.

Key Responsibilities

• Reliability Strategy & Architecture - Define and lead long-term reliability strategy across services. Establish end-to-end system visibility frameworks and guide architecture for observability, detection, and resilience.
• Cross-Org Leadership - Partner across teams to embed reliability, standardize SLI/SLOs, and serve as a technical escalation expert.
• Detection & Observability - Build intelligent detection systems (anomaly detection, connector health models) and enable self-service observability.
• Incident Management - Define and evolve a tiered incident communication strategy, improve response practices, and lead postmortems to strengthen reliability and customer trust.
• Execution - Contribute hands-on to system design, monitoring, and debugging across distributed systems and data pipelines.

Required Qualifications

• 5+ years in SRE, Production Engineering, or related roles
• 3+ years operating at a senior or technical leadership level (Staff or equivalent scope)
• Deep expertise in:
• AWS and/or GCP
• Kubernetes and Helm
• Observability stacks (Prometheus, Grafana, or equivalent)
• CI/CD systems (GitLab CI/CD, ArgoCD, etc.)
• Proven experience designing and scaling reliability systems for multi-tenant SaaS platforms
• Strong debugging and systems thinking across distributed microservices and legacy systems
• Demonstrated ability to lead initiatives that improve incident detection, response, and system resilience
• Hands-on engineering approach with a track record of building—not just configuring—reliability systems

Preferred Qualifications

• Experience in B2B SaaS serving enterprise or financial customers
• Familiarity with third-party SaaS connector architectures and ingestion patterns
• Experience building anomaly detection or intelligent alerting systems
• Experience designing customer-facing status pages and incident communication frameworks

Why This Role

• Drive org-wide reliability strategy
• Own and build new detection & observability systems
• Tackle complex distributed systems challenges
• Safeguard critical infrastructure for financial customers

What Success Looks Like

• Issues caught and resolved before customer impact
• Reliability is measurable and continuously improving
• Teams self-serve observability with scalable tools
• Clear, proactive incident communication builds trust
• Reliability becomes a competitive advantage

#LI-Onsite 

Who We Are:

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

About the Role:

We're looking for a Senior Telemetry Design Engineer to design the telemetry specs and frameworks that power our AAA games from early development through live operations. Operating within Central Services, you will bridge the gap between our Business and Technical Data teams. Your main goal: translate high-level business strategies into clear, actionable telemetry designs. By ensuring every data point we collect is tied to a specific business outcome, you'll empower our publishing and creative teams to drive growth and craft exceptional player experiences.

What You Will do:

• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.

What You Need:

• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.

Bonus Points:

• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for employees in regular roles may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits, provided that temporary or intern roles will not be eligible for many of these payments or benefits. Details of participation in compensation and benefit plans (if applicable) will be provided if an employee receives an offer of employment. 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 or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

ABOUT THE JOB

The Manufacturing Team is responsible for rapidly iterating and building cutting-edge defense hardware, including static equipment, moving ground equipment, and flight vehicles. In this position, you will own large parts of the end-to-end manufacturing KPI tracking - enhancing transparency and generating actional reports to support strategic and tactical decision making. You’ll support increasing efficiencies throughout our end-to-end processes, all with a focus on introducing scale and resiliency into our growing people and tools footprint. If you thrive in fast-paced, technical environments and excel at juggling multiple responsibilities, we want to hear from you.

WHAT YOU'LL DO:

Program Oversight and Support

• Support program managers and manufacturing leadership in preparation and management of critical technical and business forums
• Provide structure to ambiguity and helping drive manufacturing engineering stakeholders towards decisions on tactical and strategic issues
• Develop and execute strategies to drive business impact and outcomes

Data Analysis and Reporting 

• Execute scrappy analyses on short-timelines to get answers quickly, while also considering more scalable solutions that will make Anduril successful in the long term
• Analyze manufacturing data to identify trends, patterns, and areas for improvement manufacturing processes.
• Facilitate data-driven decision-making by providing timely and accurate manufacturing information.

Systems and Processes Improvement

• Develop an understanding of how our manufacturing engineering systems (ERP, MRP, PLM etc.) function and how to leverage data from them to equip manufacturing engineering teams with insights and tools to make tactical and strategic decisions.
• Analyze best practices across teams and develop ways to standardize and implement across all teams.
• Assist in the documentation and standardization of business procedures and reporting protocols.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in engineering, data science, business, or related field.
• 5+ years of experience in a manufacturing environment, with a focus on data analysis, program support, or process improvement.
• Strong analytical aptitude and can intuitively think about problems in terms of numbers and data-models
• Strong written and verbal communication abilities, with the capacity to present complex data clearly to diverse audiences
• A reliable self-starter, highly organized, resourceful, with attention to detail
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities.

PREFERRED QUALIFICATIONS:

• Experience working in a manufacturing environment
• Familiarity with MES, ERP, and PLM systems and how they interface with each other and with operations
• Familiarity with Confluence/JIRA, SharePoint and Airtable
• Familiarity with SQL, Typescript, PowerBI, Tableau, Foundry, Databricks

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

SLSQ227R297

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Build a territory plan within 30 days with a clear account prioritization strategy.
• Align existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic deals.
• Maintain clear Salesforce and Clari hygiene, including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer-first mindset and focus on business value

What we look for:

• 2+ years of closing sales experience
• Prior experience in big data, Cloud, or SaaS sales
• Be able to quickly learn new technologies and value propositions
• Experience exceeding sales KPIs and quotas

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
• Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for:

• 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture for distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high-stakes escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• Can travel up to 30% when needed

CSQ327R60

About the Team

The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes, not just a platform.

You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how."

Role Description

As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a "product manager for the field," owning the entire non-technical lifecycle of an FDE engagement.

You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.

This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, "get it done" execution mindset.

What You’ll Do

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).
• End-to-End Product Ownership: Act as the "CEO" of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.
• Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the "escalation manager" to unblock all technical or political issues.
• Solution Launch & Landing: Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

Requirements

• Executive Presence & Communication: A "Trusted Advisor" with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.
• Product & Strategy Mindset: A "Product Thinker" and "Systems Thinker" who can perform a SWOT analysis, understand a competitive landscape, and define "what" to build and "why."
• Relentless Execution: An "Execution Driver" with a "Hands-On" mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.
• Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a "builder" or "founder" capacity. (Alternatively: 5+ years in a senior, client-facing "product" or "delivery" role at a top-tier tech company or consultancy).
• Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.

About the role

As a Staff Data Analyst, you will lead high-impact analytical work that shapes Crunchyroll’s content strategy - from greenlight to presentation to engagement and retention. You’ll define measurement frameworks, build certified data assets, and partner closely with Content Strategy, Programming, Product, and Licensor teams to deliver insights that guide multi-million-dollar decisions. This role operates with broad autonomy and plays a key part in raising analytical rigor, strengthening data quality, and establishing standards across the Fan Experience (FX) Team.

You will:

• Lead content measurement frameworks: define north-star KPIs, normalization methods, and comparable title metrics to drive consistent decision-making across regions, seasons, modalities, and content types.
• Build certified, reusable data assets: develop durable datasets in Databricks that standardize title/season/episode joins and metadata keys, ensuring high-quality, consistent downstream analysis.
• Advance understanding of content impact: quantify title-driven acquisition, engagement, and retention; model content-attributed churn risk; and develop portfolio-level diagnostics to inform slate and localization decisions.
• Own and evolve attribution & user-journey insights: maintain and improve viewership attribution logic to map discovery → click → watch → return behaviors, enabling clear readouts on how users discover and engage with titles.
• Drive experimentation and presentation measurement: design success metrics, partner on eventing, and analyze experiments for homepage rails, thumbnails, recommendations, language selectors, and other discovery/presentation surfaces.
• Deliver decision assets for Content & Licensors: produce clear analyses, dashboards, and reusable frameworks for greenlight, localization ROI, curation, licensor narratives, and internal/external self-serve tooling.
• Elevate analytics craft & standards: document methods, set QA and analysis standards, mentor analysts across VODAX, and support hiring to strengthen long-term analytics capability.

In the role of Staff Data Analyst, Content Analytics, you will report to the Manager, Content Analytics. We are considering applicants for Los Angeles (in office Tuesdays, Wednesdays, and Thursdays).

About You

We get excited about candidates, like you, because…

• You have 12+ years of experience in content, product, or streaming analytics with a track record of solving highly complex, ambiguous problems that influence org-level decisions.
• You possess expert SQL and strong Python/PySpark skills, with hands-on experience working in Databricks or similar lakehouse environments.
• You have deep experience with large-scale viewership, subscription, or payments datasets and have built certified datasets or BI-ready data assets.
• You possess strong experimentation and causal inference skills including test design, metric definition, and analysis of A/B results.
• You have fluency with Tableau or similar BI tools and can design dashboards that scale across stakeholder groups.
• You embody domain expertise in streaming/content analytics including attribution modeling, content normalization, and understanding how content impacts user behavior and retention.

About the Team

You will join the Fan Experience (FX) team within the Center for Data & Insights (CDI) organization with a focus on Content Analytics. The team builds core engagement metrics, attribution logic, experimentation frameworks, and licensor-facing insights that support decision-making across the content lifecycle - from greenlight to discovery to retention. As Crunchyroll continues to scale globally, the team is expanding its capabilities and establishing durable measurement foundations that support partners across Content, Product, and the broader CDI organization.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge, and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs, build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

FEQ127R316

As a Specialist Solutions Architect (SSA) - Cloud Infrastructure & Platform, you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.  SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment
• Architect production-level deployments, including meeting necessary security and networking requirements 
• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management
• Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content and custom architectures
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years of experience in a technical role with expertise in at least one of the following:
• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. 
• Networking: Architecture design, implementation, and performance
• Identify management: Provisioning, SCIM, OAuth, SAML, Federation
• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
• Infrastructure Automation and InfraOps with IaC tools like Terraform
• Maintain and extend the Databricks environment to adapt to evolving complex needs.
• Deep Specialty Expertise in at least one of the following areas:
• Security - understanding how to secure data platforms and manage identities
• Complex deployments
• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.
• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 2 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, with travel up to 30% when needed

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, infra, and companies building toward American dynamism. a16z has $100B under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Waymo, Anduril, Coinbase, Databricks, Figma, Flock Safety, Loom, Roblox, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

New Media is a16z's thought leadership engine - home to some of the most influential voices in technology, policy, and culture. Events are a core part of how New Media shows up in the world: they deepen relationships, surface ideas, and create moments that extend the firm's reach and amplify its brand.

The Events Partner for New Media is a senior operator responsible for designing and executing a portfolio of high-impact experiences - from intimate community dinners to multi-day summits and leadership retreats. This role requires someone who can move between strategic planning and ground-level logistics without losing a step. Someone who understands that no two events are the same, and who holds themselves to the highest bar, because these experiences reflect the firm's brand, relationships, and reputation at the highest level.

The preferred location for this role is San Francisco Bay Area, CA. We will consider candidates in New York City, NY. The role will require in-office presence from time to time.

To join our team, you should be excited to:

• Design and lead a suite of high-impact experiences, from intimate community dinners to multi-day summits and leadership retreats - bringing creative vision and a constant push to elevate the guest experience; this is not a rinse-and-repeat role
• Partner directly with senior executives, GPs, and prominent external figures to shape experiences that reflect the firm's brand and deepen its most important relationships
• Own all operational logistics including venue sourcing, vendor negotiation, contract management, and on-site production for both in-person and virtual formats
• Build and manage event communications campaigns; own the outreach calendar, track registrations and engagement, and adjust strategy based on data
• Produce post-event reporting including budget reconciliation, attendee feedback, and ROI analysis; translate lessons learned into improved processes and future planning
• Partner with editorial, communications, and design teams to develop branded collateral and ensure events are integrated into broader marketing efforts

Minimum Qualifications

• 7+ years of experience in event management, with a proven track record across complex, high-visibility events, consistently raising the bar on guest experience and bringing fresh thinking to every format
• Poise, influence, and discretion working directly with senior executives, investment partners, and prominent external figures; not just executing on direction, but actively shaping it; able to articulate recommendations, push back when needed, and influence senior stakeholders with sound judgment
• Strong operational instincts - able to manage vendors, contracts, and on-site logistics while staying calm under pressure
• Proficient with CRM and event tools (Salesforce, Marketo, or equivalents); comfortable with data, reporting, and ROI analysis
• Excellent written and verbal communication skills; sharp eye for detail and a high bar for quality
• Experience with community building and network engagement
• Comfortable with ambiguity and energized by it - able to translate loosely defined goals into creative, executable plans and build the playbook when one doesn't exist
• Low ego, high empathy, and genuinely collaborative across functions and levels
• Ability to travel up to 30-40% of the time

The anticipated salary range for this role is between $221,000 - $258,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

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 a Data Engineer Manager who will:

• Collaborate closely with a team of data engineers, developers, and UX designers to create and optimize data pipelines and workflows supporting media performance reporting.
• Manage the design, build, and maintenance phases of client reporting projects.
• Work with Business Intelligence/Data Operations to define and document comprehensive reporting and visualization requirements.
• Ensure high data quality and provide ongoing support and maintenance for existing data workspaces.
• Deploy new client teams to cloud data solutions, offering guidance and support throughout the onboarding process.
• Define clear QA guidelines and automate current QA processes to enhance efficiency.
• With the support of the Associate Director, develop innovative tools, processes, and best practices to achieve workflow efficiencies and drive value for both client teams and clients.
• Act as the subject matter expert for all questions and projects related to data quality, BI tools, and business rules, ensuring that best practices are consistently followed across all initiatives.
• Facilitate effective communication and ensure task progression through regular status meetings and working sessions; proactively identify and resolve project roadblocks and issues.
• Efficiently track and manage a high volume of tasks across multiple stakeholders and projects.
• Build positive and collaborative relationships with internal teams, effectively communicating roles, responsibilities, and expectations.

Skills and Experience

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

Education & Experience:

• Bachelor's or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or a related scientific field is preferred.
• Minimum of 4-6 years of experience in data governance processes within a data warehousing, ETL, and business intelligence environment.
• Experience with the full development life cycle of an application or reporting solution – from design through testing and deployment.
• Experience in a media environment (digital investment, analytics, or ad operations) is preferred; an understanding of the media landscape is beneficial.
• Experience and understanding of processes across multiple media channels (digital, search, social, offline, etc.) and handling diverse datasets (paid media, owned, etc.).

Technical Skills:

• Advanced knowledge of databases and data warehouses is crucial, including SQL (most important), MySQL, PostgreSQL, Redshift, Snowflake, etc.
• Advanced knowledge of one or more programming languages is essential, with Python being highly valued.
• Strong knowledge of cloud platforms such as Microsoft Azure, GCP, or AWS (familiarity with any major cloud provider is key).
• Knowledge of data engineering platforms such as Databricks.
• Familiarity with project/product management tools like Jira, Confluence, Smartsheets, Azure DevOps/VSTS.
• Familiarity with business intelligence tools such as Tableau, PowerBI, etc.
• Experience with advertising campaign management/buying platforms (e.g., Sizmek, GCM, Flashtalking, Moat, DV, IAS, Mediaocean, Media Tools, Nielsen, ComScore, Facebook, Twitter, Pinterest, Snapchat, 4C, Brand Networks, YouTube, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, Adobe Analytics) is highly beneficial.

Soft Skills:

• Demonstrates strong attention to detail.
• Excellent verbal and written communication skills.
• Exceptional organizational skills, multi-tasking capabilities, and detail-oriented approach.
• Ability to foster collaborative relationships with other cross-functional teams.
• Ability to manage and prioritize competing projects and deliverables effectively.
• Proactive in elevating and resolving project roadblocks and issues.

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 available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

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. 

Job Summary: 

The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for owning end-to-end pricing analytics and measurement in close partnership with the Pricing organization. This role focuses on practical, decision-driven work including competitive price validation, pricing test measurement, promotion and discount analysis, elasticity assessment, and executive-ready insights -- translating complex pricing dynamics into clear, credible recommendations that influence senior leaders. The ideal candidate combines strong quantitative skills with pragmatic execution, is comfortable building and applying predictive models while working across SQL, Python, and analytics workflows, and can independently deliver results without heavy guidance. Success in this role: judgment, bias toward action, and the ability to clearly articulate the “so-what” behind the numbers.

Job Expectations:

• Own end-to-end pricing analytics, modeling and measurement in close partnership with the Pricing organization, supporting day-to-day pricing decisions as well as longer-term strategy refinement
• Build, validate, and maintain applied pricing models (e.g., elasticity, incrementality, sensitivity tiers) that balance statistical rigor with real-world constraints and imperfect data
• Design and execute measurement approaches for pricing tests and promotions, including A/B tests and quasi-experimental methods, accounting for seasonality, halo, and cannibalization
• Lead competitive pricing analytics, including validation of external pricing data, imputation logic for incomplete coverage, and ongoing quality monitoring to ensure confidence in insights
• Translate complex analytical outputs into clear, decision-ready insights, articulating implications, tradeoffs, and recommended actions to pricing leadership and senior executives
• Partner closely with BI Analytics and Data Engineering to shape pricing datasets, contribute to data modeling where needed, and ensure analytical outputs are scalable and reusable
• Independently develop analytical workflows using SQL and Python, moving fluidly between data exploration, modeling, and insight generation without reliance on heavy guidance
• Contribute to the development of pricing dashboards and recurring analytical outputs for the Pricing team, prioritizing clarity, usability, and decision relevance over visual polish
• Continuously refine pricing measurement frameworks as the business evolves, balancing speed, accuracy, and practicality in a fast-moving global environment
• Experience deploying, monitoring, or operationalizing pricing or predictive models in a production analytics or ML environment (e.g., Databricks, scheduled pipelines, or decision-support workflows)

Knowledge, Skills and Abilities:

Required

• Strong applied quantitative background with demonstrated experience designing, building, and deploying Python-based data science models, including production workflows, to inform pricing, promotions, or commercial decisions in a retail or eCommerce environment
• Hands-on expertise with SQL and Python, with the ability to independently extract, manipulate, model, and analyze large datasets end-to-end
• Experience designing and interpreting pricing or promotional measurement, including experimentation (A/B testing) and quasi-experimental approaches, with comfort navigating imperfect data and incomplete controls
• Practical experience with pricing concepts such as elasticity, price sensitivity, discounting, promotions, and incrementality, with an emphasis on directional insight over theoretical precision
• Proven ability to translate analytical outputs into clear, actionable insights, articulating implications, risks, and tradeoffs to senior business stakeholders
• Comfort operating with ambiguity and limited guidance, demonstrating sound judgment, prioritization, and bias toward execution in fast-moving environments
• Strong analytical problem-solving skills paired with business intuition, enabling independent ownership of complex measurement problems from framing through delivery
• Ability to collaborate effectively across Analytics, Pricing, Finance, and Engineering, balancing technical rigor with pragmatic business needs 

Preferred

• Experience supporting pricing decisions in a global or multi-market retail or e-commerce environment, including regional pricing variation or localized promotions
• Familiarity with competitive pricing intelligence data, including validation, normalization, and imputation of external price sources
• Experience partnering closely with Pricing, Finance, or Commercial Strategy teams to inform margin, contribution, or profitability-focused decisions
• Hands-on experience building reusable analytical frameworks or standardized measurement templates that scale

  Experience Requirements:

• Typically requires ten (10) years of progressive experience in data science, analytics, or quantitative analysis roles, with a demonstrated track record of applying data-driven insights to pricing, promotions, or commercial decision-making in a retail or e-commerce environment. 
• Candidates should have hands-on experience building and applying analytical or data science models, working directly with large, real-world datasets, and partnering closely with business stakeholders. 
• Prior experience supporting pricing strategy, experimentation, or promotional measurement in fast-paced, ambiguous environments is strongly preferred.

Education Requirements: 

Degree in Engineering, Math, Statistics, Finance, or Computer Science required. Advanced degrees are welcome but not required.

#LI-ME1

#LI-Remote

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

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $90B under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

The Corporate Finance Lead will report to the Chief Operating Officer and oversee both company-wide corporate accounting and corporate finance activities, unifying the firm’s financial operations, reporting, and planning disciplines. This leader will build a scalable, accurate, technology-enabled financial foundation while shaping decision-making through forward-looking insight, rigorous analysis, and trusted business partnership.

Beyond accounting and planning, this leader will own and drive key firmwide operational programs including contractor workforce governance, T&E policy management, and international expansion infrastructure, serving as an operational finance lead across the firm, not just within the corporate finance function.

The successful candidate brings deep technical accounting expertise, mature financial judgment, and the ability to architect systems and processes for a rapidly scaling, structurally complex organization. 

This role will be based out of Menlo Park / San Francisco and our firm’s in-office expectations align with what each primary business partner requires.  A reasonable assumption for now is 2 days per week. 

Core systems used by a16z: Workday, Navan, Planful, Ironclad, Deel

To join our team, you should be excited to: 

• Responsible for corporate accounting
• Own and maintain the firm's accounting policy framework, including technical accounting determinations for non-standard transactions
• Coordinate closely with fund accounting and tax on shared workflows, reporting, and period-end processes
• Own all management company accounting, including GL, AP, payroll, and consolidated reporting
• Build scalable processes, controls, and multi-entity structures
• Lead and execute timely month-end and quarter-end close with strong data integrity
• Lead firmwide planning, forecasting & consolidation
• Manage annual budgets, in-year forecasts, and multi-year planning
• Set firmwide targets for fees, expenses, margins, and cash
• Deliver consolidated P&L, cash flow, and margin reporting to senior stakeholders
• Provide variance analysis, scenario modeling, and tradeoff insights for senior leadership on major financial decisions
• Partner across central teams & verticals
• Support G&A teams with budgeting, forecasting, and resource decisions
• Align vertical finance teams on fees, hiring plans, and margin targets
• Collaborate closely with stakeholders (e.g. HR, Legal) to drive initiatives and programs
• Lead firmwide operational programs
• Own the firm's contractor management program: establish governance, policy, vendor classification, and controls across all teams and verticals — not just within the finance function
• Design, communicate, and evolve the firmwide T&E policy, partnering with Legal, Compliance, and HR to ensure it is clear, current, and consistently applied
• Lead international expansion at a firmwide operational level: coordinate entity setup, local compliance, banking, payroll infrastructure, and cross-functional readiness (HR, Legal, Tax, Finance) as the firm expands its global footprint
• Act as the COO's operational finance lead on any other firm-level projects requiring financial governance or cross-functional coordination
• Build & scale financial systems
• Lead corporate finance system design, forecasting templates, and automation across the firm
• Raise the quality, speed, and consistency of financial data across accounting, corporate finance, HR, Tax, and other partner functions 
• Lead the modernization and automation of accounting and corporate finance activities, with the goal of building a best-in-class, technology-forward finance function  
• Develop the team
• Build, develop, and retain a high-performing team across accounting and corporate finance, with a culture of accountability, precision, and continuous improvement

Minimum Qualifications

• 12+ years of experience across Corporate Accounting, Corporate Finance, and/or Strategic Finance, with deep technical accounting expertise
• Demonstrated success leading both accounting and financial planning functions in a complex, high-growth environment
• Public accounting experience and CPA strongly preferred
• Experience leading the planning and execution of large, operational, cross -functional initiatives/programs 
• Experience managing multi-entity, multi-jurisdiction accounting structures and consolidated financials
• Strong accounting and finance capabilities: forecasting, modeling, scenario analysis, long-range planning, and executive reporting
• Proven track record of system implementations (ERP, payroll, expense, and FP&A tools)
• Experience leading cross-functional decision-making and influencing senior leadership
• Demonstrated ability to build, lead, and develop high-performing teams
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

Capabilities

• AI-curious: interest in, and experience with, using cutting edge AI tools in creating automated, real-time, self-service capabilities
• Services mindset: highly responsive, proactive, and helpful; sets the standard for operational excellence
• Strategic thinking: develops a long-term roadmap for financial reporting and operations
• Analytical rigor: ability to pressure test assumptions and drive insights from complex data
• Project management: leads large-scale, cross-functional initiatives with precision and clarity
• Collaboration, leadership and stakeholder management: builds strong relationships across the organization; trusted by executives
• Thrives in ambiguity: navigates complexity and designs structure where none exists
• Commitment to systemization and scale: prioritizes automation, repeatability, and data integrity
• Judgment & discretion: brings balanced, thoughtful decision-making in time-sensitive or high-impact situations

The anticipated salary range for this role is between $322,000 - $376,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

We are looking for a Fund Accounting Manager to join our finance team. The Fund Accounting Manager will report directly to a Controller and will work closely with the Crypto team, Crypto Technical Operations, Assistant Controllers, and other Fund Finance staff, as well as deal operations and the legal department.  The Fund Accounting Manager is primarily responsible for general ledger entries and preparation of financial statements for the Crypto vertical.  We use enterprise software (AllVue, IPREO, Salesforce, Tres, Anaplan, HazelTree, TRES) for efficiency and scale.

This role requires an in-office presence 2 days a week in our Menlo Park, CA or San Francisco, CA office.

• Assist with cash flow operations to and from investors and portfolio companies
• Work collaboratively and efficiently with the team to prepare and review quarterly and annual financial statements, the annual audit, and fulfill tax requirements
• Perform wire verification checks, prepare and record common purchase transactions
• Prepare entries for realization events
• Reconcile monthly and daily information with custodians and vendors
• Assist in regular cash and stock distributions, working with bankers and brokers
• Maintain portfolio tracking reports ensuring data accuracy and comprehensiveness
• Prepare all documentation in accordance with SEC guidelines and US GAAP
• Coordinate with portfolio company counsel and internal General Counsel as necessary
• Assist Controller and/or Assistant Controller with the Crypto vertical projects as needed

To join our team, you should be excited to:

• Work in a highly organized and detail-oriented way. You can manage your time and multiple priorities effectively.
• Collaborate with multiple teams and people
• Build trust and support your colleagues
• Actively participate and communicate in a productive manner
• Approach issues with a solutions-focused lens
• Work in a very dynamic environment, requirements can change with little notice, and you will need to adapt and be flexible
• Learn investment fund finance with emphasis in digital assets from the ground up
• Have an interest in leveraging AI tools to streamline accounting processes and improve accuracy
• Take the time to understand our processes and culture, embrace the best parts and recommend changes for improvement

Minimum Qualifications

• Bachelor’s degree with concentration in accounting or finance
• 5+ years of combined public accounting and relevant industry experience, with a good understanding of partnership accounting, hedge fund, and venture capital operations
• Understanding of various investment instruments such as swap, futures, and options
• Able to deal with sensitive information and maintain confidentiality
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
• Advanced Microsoft Excel skills, and experience with Microsoft Dynamics NAV accounting software is a plus

The anticipated salary range for this role is between $150,000 - $175,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

Job Req: SLSQ427R270

Locations: 

San Francisco/ Seattle

The Cloud & AI Partnerships team is responsible for establishing durable long-term alliances with the world's most important technology companies in the Data & AI ecosystem.We are looking for a Sr. Alliance Director, AI GTM to facilitate Go-To-Market (GTM) strategies with our strategic AI partnerships — including our alliances with Anthropic, OpenAI, and Google Gemini. This role demands a rare combination of skills: the GTM fluency of a strategic alliance & business development leader and the Generative AI domain expertise needed to build targeted programmatic GTM motions that create and convert pipeline across our global field organizations. This role requires established, existing relationships within the leadership/GTM functions of major AI labs and cloud providers, ensuring immediate credibility and accelerated collaboration.

You will set GTM strategy, manage co-sell investment programs, build relationships between Databricks GTM executives and their counterparts at the world's leading AI labs, and drive measurable business outcomes through co-sell and field enablement initiatives.

You will operate with a high degree of autonomy, report into the VP of Cloud & AI Partnerships, and collaborate cross-functionally with product & engineering, sales, and marketing. This is a fast-paced, high-visibility role for someone who thrives in complexity and wants to be at the center of the most consequential partnerships in enterprise AI.

The impact you will have:

• Serve as the primary point-of-contact for senior GTM stakeholders at Anthropic, OpenAI, and Google, cultivating trusted, multi-threaded relationships at each level of the org chart across sales and field engineering. 
• Build and manage a QBR and Executive Business Review cadence with each AI partner, anchored on shared GTM goals and co-sell programs.
• Develop and maintain partnership co-sell KPIs and the overarching partner GTM governance framework to provide visibility into the health of programmatic co-sell motions.
• Develop and execute an overarching co-sell strategy across AI Lab partners, including account segmentation and propensity analysis to identify high-impact joint opportunities.
• Plan and operationalize in-person and virtual co-sell programs — including co-sell days, joint pipeline reviews, and partner-led field events — to accelerate top-of-funnel growth and mid-funnel conversion.
• Deliver regular program performance readouts to global sales and partnership leadership, surfacing insights and recommending course corrections.
• Build and manage streamlined partner funding programs designed to accelerate customer adoption of AI solutions
• Collaborate with enablement and commercialization teams within Databricks to drive board awareness & utilization of funding and customer success programs. 
• Partner with product, engineering, and commercial teams to shape the long-term AI model integration roadmap and develop compelling 'better together' messaging for each AI Lab relationship.
• Collaborate with industry GTM teams, ISV and consulting partners, marketing, and corporate development to build joint sales plays, offers, and assets that grow top-of-funnel and increase conversion.
• Develop and maintain field enablement content to equip internal & external field teams with the knowledge and tools to execute on joint GTM priorities and articulate differentiated 'better together' value propositions.

What we look for:

• 10+ years of experience in business development, strategic partnerships, alliance management, or GTM strategy, with a meaningful portion of that time spent in the Cloud and AI ecosystem.
• Proven track record building GTM programs and growing high-visibility partnerships with major technology companies, ideally cloud hyper-scalers or frontier model providers.
• Deep understanding of Generative AI products, go-to-market models, and the competitive AI landscape, including familiarity with the positioning and capabilities of Anthropic, OpenAI, Google, and comparable frontier model providers.
• Experience in Generative AI product development, GTM, or alliance roles is strongly preferred
• Analytical rigor: able to build first-principles business cases, model consumption, and derive data-driven insights to support partnership investment and program prioritization decisions.
• Strong GTM fluency, including familiarity with enterprise co-sell motions, account segmentation methodologies, pipeline management, and field enablement strategies.
• Excellent communication and executive presence — capable of distilling complex multi-dimensional analyses into clear, compelling narratives for senior internal and external audiences.
• Strong cross-functional leadership, ownership mindset, and bias for action. Comfortable driving deal and program processes autonomously while mobilizing large, matrixed organizations.
• MBA or equivalent advanced degree preferred. Bachelor's degree in Computer Science, Engineering, or related field, or demonstrated technical aptitude, is a plus.

RDQ226R497

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

RDQ226R497

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

You will be a Sr Product Manager for Unity Catalog (https://databricks.com/product/unity-catalog). Unity Catalog is the metadata and governance foundation for the Lakehouse, providing not only fine grained security and governance capabilities, but also performance and productivity capabilities such as lineage, search, discovery, auditing, and compliance, for our customers' data and AI assets. 

This role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Design and launch new governance and security capabilities as part of Unity Catalog.
• Define and build new platform services that enable Databricks’ data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
• Take new features you envision from ideation / exploration with customers to full launch and rollout, including a marketing plan, field enablement, and broad customer adoption across all our segments.
• Bring insights about the data governance persona, our customers, and the market at large to the engineering and leadership team by working closely with our customers and partners. 

What we look for:

• 5+ years of enterprise B2B Product Management experience
• Educational background in computer science or related engineering practice.
• Experience working with databases and/or data warehouses, security, and catalogs.
• Experience building user-facing products for Data Analysts, Scientists, and/or Engineers.
• Strong track record of delivering products with cross-functional teams common to the enterprise software industry (field engineering, sales, marketing, partnerships, etc.).
• Experience in working closely with enterprise customers and ISV partners in the data market.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Overview

We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs) research teams to:

• Identify opportunities for building training datasets to improve model capabilities and performance
• Generate these datasets with high quality and speed
• Build automation tools and processes for scalability
• Deliver the datasets so that they are easily usable by our clients

Key Responsibilities

Operational Leadership & Performance Management

• Lead and scale global delivery teams of 100+, distributed across functions, regions, and levels (ICs, leads, and managers)
• Implement performance management systems that go beyond managerial reporting using data-driven metrics, tools, and products to assess productivity, quality, and output consistency
• Build strong operational structures that allow for transparency, accountability, and early detection of underperformance
• Partner with cross-functional leads to optimize workflows and improve internal tool adoption for delivery efficiency

Data Quality & Scripting-Driven Automation

• Own the quality, accuracy, and scalability of data generated for LLM training
• Move beyond manual QA layers by leveraging Python scripting, APIs, and automation frameworks to measure, validate, and improve dataset integrity
• Design and oversee tools or scripts for data validation, annotation accuracy checks, and pipeline consistency
• Ensure datasets adhere to compliance standards (PII, GDPR, HIPAA) and can be programmatically tested for usability and quality

LLM Training & Evaluation

• Lead generation and delivery of high-quality, scalable datasets focused on SFT, RLHF, reasoning, and agentic workflows
• Oversee the entire data lifecycle from client intake and annotation workflow design to delivery
• Partner with product, research, and engineering teams to implement evaluation metrics (e.g., win rate, inter-annotator agreement, and pairwise preference scoring)

Client Partnership & Communication

• Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery timelines, and escalations
• Build relationships with engineering and research stakeholders by delivering consistently high-quality data
• Communicate effectively across technical and non-technical audiences; provide transparency through structured updates and quality reporting

Team Development & Tooling

• Recruit, mentor, and coach cross-functional leaders (Eng, Data, Ops, and Program Management)
• Drive adoption and improvement of internal tools (e.g., task management systems, quality dashboards)
• Champion continuous improvement across data quality, tools, and delivery processes

Required Qualifications

• 10+ years of experience leading large-scale technical delivery organizations, ideally across AI, ML, or data operations
• Bachelor's degree in Engineering, Computer Science, or equivalent technical discipline
• Demonstrated ability to act as a strategic business partner with our clients, researchers, and engineers at leading LLM labs
• Proven success in building and scaling multi-level high performance teams, with distributed global operations
• Experience managing managers
• Skip-level performance management
• Hands-on technical fluency: ability to write and review data validation scripts
• Demonstrated experience managing dataset generation or annotation for machine learning model evaluation and/or training 
• Familiarity with ML tools and data workflows (e.g., HuggingFace, LangChain, Weights & Biases, Databricks)

Preferred Qualifications

• Experience evaluating large language model performance and/or improving model performance via fine-tuning
• Strong understanding of data quality frameworks, including automation, toolings and manual processes 
• Experience in AI data annotation, model evaluation, and fine-tuning platforms
• Strong communication and storytelling skills with executive stakeholders

Location SF Bay Area (Hybrid)

Compensation: $255,000 to $325,000 OTE + Equity

Principal Research Scientist – AI Scaling & Optimization

P-1227

About Databricks AI

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models should be available to all.

About the Scaling Research Team

The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.

Role Summary

As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.

The Impact You Will Have

• Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.
• Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.
• Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.
• Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.
• Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.
• Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.
• Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.
• Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.

What You Will Do

• Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.
• Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.
• Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.
• Collaborate with distributed systems and infra teams to push the limits of distributed training, parallelism strategies, memory management, and hardware utilization for LLMs and other large models.
• Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.
• Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.

What We Look For

• Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. 
• Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.
• Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.
• Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.
• Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.

Nice to Have

• Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.
• Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.
• A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.

FEQ327R144

As a Partner Solutions Architect, you will focus on cultivating technical relationships with one of our largest Global C&SI partners. You will strengthen our relationships with key data and application leaders to accelerate indirect revenue, enable their data and application development practices, and execute on long-term GTM strategy.

The impact you will have:

• Strategic Technical Partnership: Be a technical partner and thought leader to the Databricks GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. You will embed with the partner technical teams to enable their practices, support troubleshooting, evangelize Databricks in their developer communities, and serve as an escalation point for complex technical issues.
• Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment.
• Customer Deal Support: Intervene directly to unblock strategic customer deals where the partner is the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Partner Ecosystem & Events: Represent Databricks at partner events (PKO, DAIS, EBC, etc), customer workshops, AWS/Azure summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. 
• Product Feedback: Validate and gather feedback on Databricks products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant product teams to inform product roadmap and partner strategy.

What we look for:

• 8+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
• Track record of successfully partnering with Global C&SIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering & IT teams, and more
• Strong presentation & technical communication skills with technical and business stakeholders
• Familiarity with common Agentic frameworks, application development, or a background in machine learning or data science
• Excitement to engage in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing AI systems
• Can travel up to 30% when needed

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

P-1107

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Customers trust Databricks with their most valuable data, and our Trust & Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

• Define and drive the strategy for foundational systems operating at cloud scale.
• Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security.
• Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance.
• Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product.
• Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs.
• Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

• Experience in software engineering, with significant engineering leadership experience in a fast-paced, dynamic environment.
• Experience building large-scale distributed systems with high availability and complex requirements.
• Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
• Proven success driving cross-functional initiatives and influencing leaders without direct authority.
• Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
• Strong communication and leadership skills, with the ability to inspire both teams and stakeholders.
• BS, MS, or PhD in Computer Science or a related technical field.

Staff Software Engineer - AI Research Infrastructure

P-1215

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description

As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.

You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have

As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: 

• Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)
• Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.
• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.
• Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.
• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.
• Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.
• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.
• Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).
• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.
• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.
• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

You will join a fully functional team of experienced individual contributors building internal software tools for the firm’s investing and operations teams. You are a detail-oriented backend engineer with a strong interest in developing feature-rich, data-driven applications. Your work will focus on identifying, acquiring, and normalizing alternative data sources, and on designing and implementing secure, scalable backend systems that power our internal products.

The Applied Software Group operates in the mode of an internal startup. We own a tight feedback loop with our users and take on requests from all corners of the firm. This role offers meaningful ownership, frequent opportunities to ship, and close collaboration with experienced engineers who will support your growth and development.

This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Build and maintain backend services that support internal data products and applications
• Work closely with investing and operations teams to understand workflows and translate requirements into reliable software solutions
• Contribute to the design and implementation of new features and systems, with guidance from more experienced engineers as needed
• Ship new data products iteratively, incorporating user feedback to continuously improve functionality and performance
• Take ownership of assigned services or projects, from development through production support
• Write clear, well-structured, and maintainable code
• Collaborate positively with teammates and contribute to an inclusive, supportive engineering culture
• Stay curious about new tools, technologies, and approaches relevant to backend and data systems

Minimum Qualifications

• 3+ years of professional software engineering experience
• Strong proficiency in Python 3 (or another backend language) and willingness to learn new technologies
• Experience deploying production services on at least one major cloud platform (GCP, AWS, or Azure)
• Experience working with production SQL and NoSQL databases (e.g., PostgreSQL, MySQL, Elasticsearch)
• Experience building and deploying containerized services; familiarity with Kubernetes is a plus
• Experience working in environments that value rapid iteration, code quality, and operational excellence
• Strong problem-solving skills and solid technical fundamentals
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $269,000 - $314,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z Carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $100B+ under management across multiple funds.

We’ve established a team that is defined by respect for the entrepreneur and the company-building process; we know what it’s like to be in the founder’s shoes. We’ve invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.

The Role

You will join a team of highly autonomous, senior ICs developing both software capabilities for the firm’s investing and operating functions, and external-facing products for the firm’s partners, portfolio, and investors. This role specifically involves leading the technical strategy, architecture, and implementation of machine learning systems that power the firm’s internal and external-facing applications. You will be responsible for the entire model lifecycle, from feature engineering and training to large-scale, low-latency serving and robust MLOps infrastructure.

The Applied Software Group operates in the mode of an internal startup. We own an exceptionally tight feedback loop and take on requests from all corners of the firm. This is a high-visibility role that requires a clear architectural vision, strong software engineering fundamentals, exacting communication skills, and the ability to engage and educate our firm on the technology we are developing and shipping.

This role requires an in-office presence 2-3 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Architect, build, and maintain scalable and reliable ML production pipelines (data, training, and inference)
• Collaborate with the Applied Software Group (ASG) team to integrate ML models into user-facing products serving the investing partnership and our operating teams
• Set and evolve MLOps standards for the team, including producibility, automated testing, CI/CD, observability, and model governance across the firm.
• Research and lead the implementation of model serving strategies (e.g., real-time APIs, batch processing) to meet strict latency and throughput requirements
• Drive the technical roadmap for core ML infrastructure, influencing platform choices and building cloud-native systems primarily on GCP.
• Operate with high autonomy, owning outcomes end-to-end, proactively identifying gaps, and raising the technical bar for the team.
• Set a high standard for code quality and system design, producing clear, principled, and extensible solutions that scale with the firm.
• Bring positive energy in every interaction with the team and foster inclusive collaboration
• Learn the inner workings of VC and work closely with the investing partnership

Minimum Qualifications

• 2+ years of professional experience as a Machine Learning Engineer or similar role.
• Strong mathematical intuition and problem-solving skills
• Expertise in Python and its statistical modeling ecosystem (e.g. NumPy, scikit-learn, etc.)
• Solid experience with major ML frameworks like PyTorch, TensorFlow, or JAX
• Proven experience deploying and managing ML models in a production environment using tools like Kubeflow, MLflow, Airflow, or TFX
• Strong understanding of containerization technologies (e.g., Docker, Kubernetes/GKE) as applied to ML serving
• Familiarity with cloud computing environments (preferably GCP), including data storage and compute services
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

The anticipated salary range for this role is between $341,000 - $422,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.

Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. a16z has $100B+ under management across multiple funds. We’ve invested in companies like Affirm, Airbnb, Coinbase, Databricks, Figma, GitHub, Instacart, Pinterest, Roblox, Stripe, and Substack.

a16z speedrun is the firm’s program to invest in, and help, new startups. We run a 2x/year program that spans 12 weeks, with dozens of startups working out of a16z’s offices in SF and LA. So far we've invested in over 150 startups with $180M+ in capital deployed.

The Role

We are looking for an Associate to join our Capital Network team to work across our Consumer, AI Apps & Speedrun verticals. The Capital Network function serves as a trusted advisor that guides & advises our portfolio companies through capital raising (equity and debt), M&A (including strategic investments) and capital markets transactions. The primary function of this role is to provide real and sustained value to: (i) the Firm’s Consumer, AI Apps & Speedrun portfolio companies, (ii) the Consumer, AI Apps & Speedrun investment teams, and (iii) the broader Consumer, AI Apps & Speedrun operating teams through cross-functional collaboration.

This role requires an in-office presence 5 days a week in our San Francisco, CA office.

To join our team, you should be excited to:

• Support the firm’s Consumer, AI Apps & Speedrun  portfolio companies with transactional work including capital raising and M&A advisory in partnership with your Capital Network partners
• Perform valuation analyses for investment and M&A execution
• Assist in the execution of financing & strategic processes and portfolio analysis
• Develop presentation materials for internal and external audiences for both the Capital Network team and the firm’s  portfolio companies to drive outcomes
• Conduct primary research for the group or in coordination with other internal a16z operating groups that deliver key insights on industry developments and trends
• Perform comprehensive, in-depth company and industry research as well as complex portfolio and benchmarking analyses
• Actively map and maintain relationships with the broader capital ecosystem (VCs, growth equity, debt providers, and strategics) 

Minimum Qualifications

• 2-4 years of corporate finance experience in technology-oriented sectors.  Preferable prior experience includes but is not limited to, corporate development roles, investment banking in a technology sector coverage capacity (M&A product role, management consulting, or other finance roles where capital raising and M&A was a strong focus) 
• Solid understanding of the venture ecosystem, including emerging trends and competitive dynamics among the various capital providers
• Ability to quickly build trust with other team members as well as entrepreneurs and broader capital/strategic network
• Low ego, high empathy, and the capacity to collaborate effectively with diverse teams
• Ability to manage multiple priorities, work toward contributing new ideas & solutions, navigate situations with ambiguity, and execute consistently in a dynamic environment
• Exceptional communication, interpersonal, and presentation skills, with a focus on detail and executive presence
• Proven ability to multi-task and apply initiative and creativity on projects
• Bachelor's degree in Finance, Business, Economics, or a technical field preferred but not required

The anticipated salary range for this role is between $184,000 - $214,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.