They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.

By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos, and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS, or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python, and SQL

The impact you will have:

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities:

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering, or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

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As a Senior Solutions Architect - AI/BI, you will work in partnership with direct account teams to jointly engage clients, foster necessary relationships, position in-depth the specific product line, and provide compelling reasons for clients to adopt and grow the usage of the given product.

Key responsibilities include:

• Collaborating with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• Serving as a trusted advisor, expert Solutions Architect, and champion, building technical credibility with stakeholders to drive product adoption and vision.
• Enabling clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influencing product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

To succeed in this role, you will need:

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.

If you are a motivated and experienced professional with a passion for data and AI, we encourage you to apply for this exciting opportunity.

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As a Senior Solutions Architect - AI/BI, you will collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

Key responsibilities include:

• Collaborating with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• Serving as a trusted advisor and expert Solutions Architect, building technical credibility with stakeholders to drive product adoption and vision.
• Enabling clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influencing product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

To be successful in this role, you will need:

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.

Required skills include:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment.
• Ability to advise customers in lakehouse analytics architecture.
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers.
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL.

Preferred skills include:

• Experience with Databricks products and services.
• Knowledge of data science and machine learning concepts.

This is a senior-level role that requires a strong background in data and AI, as well as excellent communication and collaboration skills.

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You'll join a small, Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features.

In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time.

Responsibilities:

• Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.

• Help maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.

• Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.

• Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.

• Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.

• Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness.

• Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.

• Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).

Requirements:

• Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (incident responses, and follow-ups, etc).

• Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.

• Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.

• Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.

• Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.

• A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).

• Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.

• Comfort working in a low-process, high-ownership environment where you take responsibility for your work, communicate progress clearly, and help refine problem statements with your teammates.

• Strong written communication and comfort collaborating asynchronously across time zones in an all-remote team.

About the team:

We sit within the Data Engineering organization. We're a small group of senior engineers and we work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously and optimize for strong ownership rather than a feature factory model. We each build a meaningful understanding of the system and help evolve it over time. A key challenge for us right now is scaling sustainably. That includes hardening multi-tenant behavior, maturing observability and readiness, and keeping the system healthy and maintainable as usage grows and team members take time off. At the same time, we're bringing Knowledge Graph to general availability (GA).

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You will help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Key responsibilities include:

• Designing secure, scalable architecture
• Aligning people, processes, and technology
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc.

In parallel, 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 onboarding plans.

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential.

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You'll join a small, Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab's software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features.

In this role, you'll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you'll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You'll help reduce single points of failure with better tests and runbooks, and you'll help the team ship analytical services that are easier to maintain and evolve over time.

Key responsibilities include:

Implementing and iterating on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers.

Helping maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform.

Contributing to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads.

Improving the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience.

Collaborating asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.

Using AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and sharing what works with the team while keeping a strong focus on code quality and correctness.

Participating in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase.

Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing).

What you'll bring:

Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (incident responses, and follow-ups, etc).

Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase.

Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role.

Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time.

Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow.

A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems).

Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions.

Comfort working in a low-process, high-ownership environment where you take responsibility for your work, communicate progress clearly, and help refine problem statements with your teammates.

Strong written communication and comfort collaborating asynchronously across time zones in an all-remote team.

About the team:

We sit within the Data Engineering organization. We're a small group of senior engineers and we work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously and optimize for strong ownership rather than a feature factory model. We each build a meaningful understanding of the system and help evolve it over time. A key challenge for us right now is scaling sustainably. That includes hardening multi-tenant behavior, maturing observability and readiness, and keeping the system healthy and maintainable as usage grows and team members take time off. At the same time, we're bringing Knowledge Graph to general availability (GA).

How GitLab Supports Full-Time Employees:

Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support

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This role requires a design leader who has extensive experience designing for mobile apps and responsive web products, bringing consistency, craft, and clarity across platforms. You must be comfortable alternating between high-level UX strategy, pixel-level detail, and customer discovery. You’ll partner with Product, Engineering, Marketing, and Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success.

Responsibilities:

• Define and articulate a multi-platform UX strategy spanning iOS, Android, and web.
• Establish a unified design language and systems that scale across mobile and desktop experiences.
• Champion simplicity, accessibility, and consistency across all surfaces.

Hands-On Design Execution (Player/Coach):

• Deliver high-quality designs and prototypes for mobile apps and web interfaces, demonstrating mastery of platform-specific interaction patterns.
• Lead critical product surfaces including onboarding, distribution tools, subscription areas, analytics, payments, and artist monetization features.
• Collaborate directly with engineers to ensure designs are technically feasible and implemented with high fidelity across platforms.
• Coach designers on mobile UI patterns, responsive design, gesture-based interaction, and layout systems.

User Research & Customer Insight:

• Conduct user interviews, usability tests, concept evaluations, and surveys across mobile and web contexts.
• Build a deep understanding of how artists and label partners use our products across devices.
• Turn insights into product opportunities, UX improvements, and roadmap guidance.
• Evangelize research findings across executives and cross-functional teams.

Team Leadership & Operations:

• Manage, mentor, and develop a small but high-impact UX/UI design team.
• Establish design critique rituals, quality standards, and platform-specific guidelines for mobile and web.
• Implement design ops practices to streamline workflows, improve velocity, and reduce design debt.
• Build career paths, growth plans, and structures for scaling the UX function.

Cross-Functional Partnership:

• Collaborate tightly with Product and Engineering to shape requirements, define success metrics, and plan releases across mobile and web.
• Work with Data Science, Artist Relations, and Marketing to create culturally resonant, data-informed experiences.
• Influence roadmap and prioritization using clear UX rationale and customer insights.

Knowledge, Skills and Abilities:

• Strong project management skills and ability to prioritize work to successfully balance several work streams at a time.
• Ability to pay meticulous attention to detail and possess a deeply pro-active, hands-on mentality.
• Possess deep appreciation and sensitivity towards people, culture, and values.
• Ability to execute on priorities with a strong sense of urgency, ownership, and accountability.
• Ability to handle confidential and sensitive information with tact, diplomacy, and discretion.
• Proactive collaborator among various stakeholders and peers.
• Personable, smart, passionate, and optimistic.

Minimum Qualifications:

• 8+ years of UX/UI or product design experience for consumer-facing mobile apps (iOS + Android) and responsive web products.
• 3+ years managing designers or leading design teams.
• Strong portfolio showing high-quality cross-platform design work, including flows, visual systems, and interaction patterns.
• Demonstrated experience as a hands-on designer and player/coach.
• Expertise in user research, usability testing, customer discovery, and insight synthesis.
• Proficiency with Figma, prototyping tools, mobile design systems, and responsive layout frameworks.
• Exceptional communication and storytelling capabilities.

Preferred Qualifications:

• Experience in creator platforms, music tech, digital media, or marketplace ecosystems.
• Familiarity with experimentation/analytics systems (A/B testing, funnels, behavioral data).
• History of partnering deeply with engineering teams to ship mobile and web features at scale.
• Ability to coach designers across mobile interaction patterns, responsive best practices, UX writing, visual craft, and systems thinking.

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In this role, you'll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle , with a high bar for rigor and a bias toward execution. You'll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.

Key responsibilities include:

• Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
• Define the measurement and experimentation strategy across the customer lifecycle , from acquisition and activation to monetization, expansion, and retention , ensuring our investments are grounded in rigorous analysis and trusted data
• Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
• Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
• Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
• Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
• Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Requirements include:

• 10+ years of experience, with 3+ years leading high-performing data teams
• Deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
• Strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
• Highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
• Experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
• Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Total rewards package includes base salary, equity (stock options), and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.

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What you'll do

• You will work with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline the live services workflow.
• You will evaluate where and how EA's live service solutions, studio tech stacks, and vendor solutions can work together and help to achieve both engineering and business goals in an efficient and cost-effective manner.

What you need

• Bachelor/Master’s degree in Computer Science/related field or relevant experience.

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What you'll do

• You will work with cross-functional teams including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation to streamline the live services workflow.
• You will evaluate where and how EA's live service solutions, studio tech stacks, and vendor solutions can work together and help to achieve both engineering and business goals in an efficient and cost-effective manner.

What you need

• Bachelor/Master’s degree in Computer Science/related field or relevant experience.

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