You will partner across lines of business as you lead the technical evaluation and compel decision-makers to choose Airtable as their critical operational workflow management tool.

The Solutions Consulting team at Airtable sits at the confluence of Sales, Services, Product, and Marketing and takes a customer-centric approach to creating value through intentful listening, storytelling, expert guidance, tailored solutions, and applying a highly consultative process.

Responsibilities:

• Collaborate with the Pre-Sales teams to identify, qualify, and drive revenue opportunities at Enterprise accounts - net new and install motions

• Build meaningful relationships with and serve as a trusted advisor to a prospect or customer's technical teams

• Own the technical evaluation process showcasing customer-centric value within the context of the customer's unique requirements, workflows, and business process needs

• Translate the value of Airtable's tooling into the language of the customer

• Manage multiple sales cycles simultaneously, proactively communicating with stakeholders and prioritising effectively

• Consult with credibility, bringing a well-rounded and unique perspective with hands-on cross-functional experience,i.e., direct experience in marketing, program/project management, consulting, operations, etc.

• Inform the product team and ultimately the product roadmap with meaningful market potential findings

• Represent Airtable in every engagement with the utmost care

Requirements:

• Bilingual: Fluent in both English and German

• An experienced customer-centric professional with a well-balanced skillset spanning business acumen, technical knowledge, and effective communication skills

• 7+ years of experience in SaaS Pre-Sales

• 10+ years industry experience

• Experience managing sales cycles and owning the technical evaluation

• Working knowledge of Marketing, Product Operations, Retail MGMT, and other Business Units

• Knowledge of business operations - can make assumptions as it relates to value drivers for various personas and industries

• Understands best practices for structuring data in a relational database and database architecture

• Passionate about creating unique solutions for complex business problems

• Loves the spotlight - adaptable and compelling communicator and presenter, easily matches the language of the room, author and storyteller

• Thirst for knowledge - researcher, analyst, emerging trends enthusiast

• Technically savvy, demonstrating a deep understanding of enterprise integration methodologies, best practices and API architecture

• Low-code no-code application experience throughout the customer life cycle

• Knowledge of complementary technologies and products - including but not limited to data warehousing and AI systems

Benefits:

• Passion and creativity

• Autonomous and motivated

• Purposeful, thoughtful, and detail-oriented

• Effective time and project management

• Curiosity

• Other

Qualifications:

• BS/BA, MBA preferred or equivalent experience

• Airtable knowledge or certification preferred

• Command of the Message preferred

• Travel as needed

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As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research

• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem

• Build and scale database systems through 100x+ growth while maintaining reliability and performance

• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments

• Develop database infrastructure that serves both product and research workloads with different performance characteristics

• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation

• Optimize database performance, reliability, and cost efficiency at massive scale

• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems

• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead

• Possess deep expertise in distributed database architectures and OLTP systems at scale

• Have successfully scaled databases through massive growth at high-growth companies

• Can balance the speed of a startup environment with the reliability needs of production systems

• Excel at technical leadership and cross-functional collaboration

• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems

• Experience with Redis, Temporal, vector databases, or async job processing frameworks

• Experience building multi-cloud or hybrid cloud database solutions

• Knowledge of database orchestration and automation at scale

• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

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As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research.

This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.

Responsibilities:

• Drive the technical direction for database solutions used across Product and Research
• Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
• Build and scale database systems through 100x+ growth while maintaining reliability and performance
• Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
• Develop database infrastructure that serves both product and research workloads with different performance characteristics
• Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
• Optimize database performance, reliability, and cost efficiency at massive scale
• Make critical build vs. buy decisions for database technologies

You might be a good fit if you:

• Have 10+ years of experience in a Software Engineer role, building and scaling database systems
• Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
• Possess deep expertise in distributed database architectures and OLTP systems at scale
• Have successfully scaled databases through massive growth at high-growth companies
• Can balance the speed of a startup environment with the reliability needs of production systems
• Excel at technical leadership and cross-functional collaboration
• Are passionate about building the data layer that enables next-generation AI capabilities

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
• Experience with Redis, Temporal, vector databases, or async job processing frameworks
• Experience building multi-cloud or hybrid cloud database solutions
• Knowledge of database orchestration and automation at scale
• Background at companies known for database excellence

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Responsibilities:

• Build an AI-powered platform responsible for all aspects of detection and response capabilities, from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call rotations

You may be a good fit if you

• Have 7+ years of experience in software engineering with a focus on security, infrastructure, or data pipelines
• Have a track record of building and maintaining internal developer tools or security platforms
• Have a strong understanding of data processing pipelines and experience working with large-scale logging systems
• Have experience with test-driven software development or CI/CD (a plus for direct experience with detection-as-code workflows)
• Have experience with infrastructure-as-code (Terraform, CloudFormation)
• Have experience with query optimization for large datasets
• Have experience building stable and scalable services on cloud infrastructure and serverless architectures
• Can write maintainable and secure code in Python
• Have experience working with security teams and translating requirements into technical solutions
• Can lead technical projects with minimal guidance
• Have a track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
• Can lead cross-functional security initiatives and navigate complex organizational dynamics
• Have strong communication skills with the ability to translate technical concepts effectively across all organizational levels
• Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Have strong systems thinking with the ability to identify and mitigate risks in complex environments

Strong candidates may also have experience with

• Building security tooling from the ground up
• Implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Detection engineering or security operations
• SOAR platform or automation development
• Data lake or database architecture
• API design and internal platform creation
• Applying ML/AI to security problems
• Scaling security operations in a high-growth environment

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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About the role

We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.

Responsibilities:

• Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call shifts

You may be a good fit if you:

• 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
• Track record of building and maintaining internal developer tools or security platforms
• Strong understanding of data processing pipelines and experience working with large-scale logging systems

Strong candidates may also have experience with:

• Experience building security tooling from the ground up
• Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Background in detection engineering or security operations
• SOAR platform/automation development
• Data lake / Database architecture
• API design and internal platform creation
• Track record of applying ML/AI to security problems
• Experience scaling security operations in a high-growth environment

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Our mission is to fundamentally improve our customers' quality of life by empowering organisations and the individuals that drive them to reimagine the way they operate, collaborate, and innovate in Airtable.

We sit at the confluence of Sales, Services, Product, and Marketing and take a customer-centric approach to creating value through intentful listening, storytelling, expert guidance, tailored solutions, and applying a highly consultative process.

Key responsibilities include:

• Collaborating with Pre-Sales teams to identify, qualify, and drive revenue opportunities at Enterprise accounts
• Building meaningful relationships with and serving as a trusted advisor to a prospect or customer's technical teams
• Owning the technical evaluation process, showcasing customer-centric value within the context of the customer's unique requirements, workflows, and business process needs
• Translating the value of Airtable's tooling into the language of the customer
• Managing multiple sales cycles simultaneously, proactively communicating with stakeholders and prioritising effectively
• Consulting with credibility, bringing a well-rounded and unique perspective with hands-on cross-functional experience
• Informing the product team and ultimately the product roadmap with meaningful market potential findings
• Representing Airtable in every engagement with the utmost care

Requirements include:

• 5+ years of experience in SaaS Pre-Sales
• 7+ years industry experience
• Experience managing sales cycles and owning the technical evaluation
• Working knowledge of Marketing, Product Operations, Retail Management, and other Business Units
• Knowledge of business operations, including understanding value drivers for various personas and industries
• Understanding best practices for structuring data in a relational database and database architecture
• Passionate about creating unique solutions for complex business problems
• Loves the spotlight, being an adaptable and compelling communicator and presenter
• Thirst for knowledge, being a researcher, analyst, and emerging trends enthusiast
• Technically savvy, demonstrating a deep understanding of enterprise integration methodologies, best practices, and API architecture
• Low-code, no-code application experience throughout the customer lifecycle
• Knowledge of complementary technologies and products, including data warehousing and AI systems

We value passion, creativity, autonomy, purposefulness, time management, and curiosity.

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You'll architect scalable, distributed database solutions, build proactive health and reliability frameworks, and drive adoption of modern database technologies and data stores that improve both product capabilities and production stability. Working hands-on in the codebase and partnering closely with product and infrastructure teams, you'll turn long-term database strategy into incremental, customer-visible improvements, shift incident response from reactive to proactive, and help define GitLab's next-generation data architecture, including sharding and multi-database support.

Key Responsibilities:

• Lead the architecture and strategy for GitLab.com's PostgreSQL infrastructure, designing scalable, resilient solutions for both SaaS and self-managed deployments.

• Build proactive database health and reliability frameworks using continuous monitoring, automated remediation, and predictive analytics to prevent customer-impacting incidents.

• Drive database best practices across engineering by guiding schema design, migrations, and query optimization, and by creating self-service tools and guardrails for product teams.

• Own end-to-end observability for database systems, designing symptom-based monitoring, leading incident response, and turning learnings into automated, repeatable workflows.

• Shape the evolution of GitLab’s database platform by evaluating and implementing modern database technologies and data stores that improve reliability, performance, and product capabilities.

• Design solutions and patterns that address uncontrolled data growth, cost efficiency, sharding, multi-database support, and other next-generation data architecture needs.

• Collaborate closely with product and infrastructure teams to align product decisions with platform constraints and priorities, breaking down long-term goals into incremental, customer-visible outcomes.

• Contribute directly to the codebase to prototype and ship working solutions, maintain technical credibility, and deep-dive into complex production issues when needed.

Requirements:

• Experience architecting, operating, and optimizing PostgreSQL in large-scale, distributed production environments with high availability and disaster recovery requirements.

• Deep knowledge of PostgreSQL internals, including the query planner, write-ahead logging, vacuum processes, and storage engine behavior.

• Background designing and maintaining highly distributed database platforms with automated failover, robust monitoring, and self-healing capabilities.

• Hands-on coding skills and comfort working across the stack, from low-level database and search systems to backend and frontend services.

• Familiarity with infrastructure-as-code, GitOps practices, security hardening, and site reliability engineering principles applied to database operations.

• Ability to debug complex, cross-system issues, translate findings into durable technical solutions, and turn incident learnings into repeatable automation.

• Experience influencing technical direction across multiple teams, providing practical guidance on migrations, query optimization, and database best practices.

• Openness to collaborating with people from diverse technical backgrounds, with a focus on clear communication, shared ownership, and learning transferable skills.

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Key responsibilities include collaborating with operations team to identify widespread issues and build a data-centric strategy to properly address them, reviewing coding daily to verify accuracy and promptly communicating issues to responsible parties for resolution, executing remote setpoint adjustments to optimize production and maintain well uptime, and conducting weekly deep dives of well trends via PiVision, Cygnet & PowerBI to verify well health and identify anomalies to escalate to the operations team.

You will also be responsible for morning dispatch to communicate newly identified opportunities and ensure timely execution by production technicians, enhancing field capabilities by partnering with production technicians to build technical skillsets and improve operational decision-making, monitoring, validating, and responding to alarms by coordinating with field teams, troubleshooting root causes and taking corrective actions to ensure safe and efficient production operations, and coordinating with midstream during upsets to collaboratively reduce production and restore stable operations.

Additionally, you will drive improvements to optimization tools to deliver intuitive, value-driven insights for stakeholders across the organization, conduct field visits to strengthen relationships, gather firsthand insights and ensure practical implementation of optimization strategies, and develop KPIs for field-wide optimization of artificial lift wells that focus on driving production and well reliability.

Essential skills and education include a background in data visualization, experience pulling data using SQL queries, and a fundamental understanding of SQL database architecture. A bachelor's degree in a business, finance, or STEM-related field is also required.

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We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.

Responsibilities:

• Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call shifts

You may be a good fit if you:

• 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
• Track record of building and maintaining internal developer tools or security platforms
• Strong understanding of data processing pipelines and experience working with large-scale logging systems

Strong candidates may also have experience with:

• Experience building security tooling from the ground up
• Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Background in detection engineering or security operations

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

XML job scraping automation by YubHub

We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.

Responsibilities

• Build an AI-powered platform responsible for all aspects of detection and response capabilities, from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call rotations

You may be a good fit if you

• 7+ years of experience in software engineering with a focus on security, infrastructure, or data pipelines
• Track record of building and maintaining internal developer tools or security platforms
• Strong understanding of data processing pipelines and experience working with large-scale logging systems
• Experience with test-driven software development or CI/CD (a plus for direct experience with detection-as-code workflows)
• Experience with infrastructure-as-code (Terraform, CloudFormation)
• Experience with query optimization for large datasets
• Experience building stable and scalable services on cloud infrastructure and serverless architectures
• Ability to write maintainable and secure code in Python
• Experience working with security teams and translating requirements into technical solutions
• Ability to lead technical projects with minimal guidance
• Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
• Ability to lead cross-functional security initiatives and navigate complex organizational dynamics
• Strong communication skills with the ability to translate technical concepts effectively across all organizational levels
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Strong systems thinking with ability to identify and mitigate risks in complex environments

Strong candidates may also have experience with

• Experience building security tooling from the ground up
• Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Background in detection engineering or security operations
• Experience with SOAR platform or automation development
• Experience with data lake or database architecture
• Experience with API design and internal platform creation
• Track record of applying ML/AI to security problems
• Experience scaling security operations in a high-growth environment

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions.

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