Location: Remote; New York; San Francisco
Workplace: Hybrid
ABOUT ALCHEMY
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
THE ROLE
Take new blockchain infrastructure and product ideas from an uncertain problem to a working system. You will help choose what to test, build the smallest experiment that answers the important questions, and turn promising results into production software.
You should enjoy reading protocol specifications and unfamiliar code, talking to developers, and building enough to find out whether an idea is useful. You are also willing to stop an experiment when the evidence does not support it.
WHAT YOU WILL DO
- Identify developer or infrastructure problems that could justify a new blockchain capability or product, working with engineering, Product, and customer-facing teams.
- Define each experiment’s hypothesis, success criteria, constraints, and time limit before building.
- Prototype across the layers the problem requires: blockchain clients, RPC, indexing, transaction infrastructure, backend services, or smart contracts.
- Read protocol specifications and implementation code, then test assumptions with reproducible benchmarks and failure cases.
- Evaluate developer or operational value alongside technical feasibility, security, operating cost, and the effort required to support the system.
- Take validated ideas through production design, testing, rollout, observability, and operational documentation with partner teams.
- Write concise recommendations to continue, change direction, or stop, supported by the experiment’s results.
- Participate in production support and incident response for the systems you ship. Own monitoring, runbooks, and fixes after launch.
WHAT WE ARE LOOKING FOR
- A track record of taking ambiguous engineering problems through working prototypes and production delivery.
- Deep hands-on knowledge of at least one blockchain: its execution model, transaction lifecycle, state, finality, and failure behavior.
- Strong software engineering skills and experience building backend or distributed systems.
- The ability to read unfamiliar code and specifications, form a testable hypothesis, and design an experiment that can disprove it.
- Experience designing reproducible performance benchmarks and using profiling to distinguish CPU, memory, storage, and network bottlenecks.
- Evidence of careful reasoning about correctness and security, especially where mistakes affect funds or chain state.
- Product judgment: explain who needs a capability, what it improves, and whether the result warrants further investment.
- Clear collaboration and documentation so another team can operate or extend what you build.
HELPFUL EXPERIENCE
- Contributions to blockchain clients, protocol implementations, or open-source infrastructure.
- Rust, Go, C++, or other systems programming languages; smart-contract development where relevant.
- EVM implementation, CPU microarchitecture, compiler optimization, or hardware performance counters.
- RPC performance, transaction submission, simulation, indexing, or cross-chain infrastructure.
- Early-stage products where you helped decide what to build and what to stop.
WHAT SUCCESS LOOKS LIKE
Within six months:
- You have completed a scoped experiment and documented a decision to continue, redirect, or stop it, citing the results.
- For a bet that proceeds, you have validated a developer or infrastructure use case, delivered a production pilot with correctness checks and a rollback plan, and taken responsibility for its production support.
BENEFITS & PERKS
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/
Location: San Francisco; Remote; New York
Workplace: Hybrid
ABOUT ALCHEMY
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
THE ROLE
Build the systems that turn blockchain activity into data developers can use. Alchemy’s Data Services work includes token, portfolio, and transfer APIs, with streaming in the updated roadmap.
You will own backend projects from ingestion through serving, making data correct, fresh, and fast to query. You will work with Product and customer-facing teams to understand what developers need, then ship improvements and measure their effect on reliability, performance, and cost.
WHAT YOU WILL DO
- Build and operate blockchain ingestion, indexing, storage, and API-serving systems.
- Handle reorganizations, retries, duplicate events, and historical backfills without silently losing or corrupting data.
- Improve query performance and data freshness. Make those properties observable to the team and understandable to customers.
- Extend API capabilities and chain coverage, with tests for differences in chain behavior and data semantics.
- Develop streaming and event-delivery capabilities with explicit guarantees for ordering, replay, and failure recovery.
- Reduce the cost of storing, processing, and serving data through measured changes to architecture and query execution.
- Participate in production support and incident response for the systems you own. Maintain monitoring, runbooks, safe rollouts, and fixes that prevent recurrence.
WHAT WE ARE LOOKING FOR
- A track record of independently designing, shipping, and operating production backend or distributed data systems.
- Strong programming skills in a production backend language, plus experience with databases, indexing, and query performance.
- Experience reasoning about consistency, partitioning, asynchronous processing, and failure recovery.
- Evidence that you can diagnose a production problem and improve the system beyond the immediate fix.
- Sound API design judgment, including compatibility, pagination, error handling, and data contracts.
- Clear communication and the ability to turn an ambiguous customer problem into a scoped engineering project.
Blockchain experience is helpful, but not required. You should be interested in learning how chain behavior affects data correctness.
HELPFUL EXPERIENCE
- ClickHouse or other analytical databases; Kafka or similar streaming systems.
- Blockchain indexers, EVM logs and traces, finality, or non-EVM data models.
- Developer-facing data APIs, real-time delivery, or large historical datasets.
- Storage migrations and performance or cost optimization under production traffic.
WHAT SUCCESS LOOKS LIKE
Within three months:
- You have shipped a customer-facing improvement and can show its effect on data quality, freshness, latency, or cost.
- You own a production component, have tested its recovery behavior, and have proposed the next improvement using operational evidence and developer feedback.
Benefits & Perks
🏥 Private Health Insurance
💪 Gym Reimbursement
🚅 Commuter Benefits
🌴 Flexible Time Off
🥙 In-Office Group Meals
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
The Rendering & Animation team (R&A) builds the graphics engine which renders the canvas for all Figma applications. Our mission is to make rendering performant, feature-rich, reliable, maintainable and extendible across all products & surfaces. The team plays a core, bedrock role for the company because it underpins the technology driving the user experience, touching many other teams, and as such is one of the most impactful areas of Figma.
The R&A team is devoted to hiring individuals with graphics expertise. We are interested in a variety of sub-domains, including 2D GPU-driven rendering, computational geometry & vector graphics, animation frameworks, anti-aliasing algorithms, shader effects, and more recently branching into video/image processing. A PhD Intern specializing in any of these areas would be a phenomenal fit for the team with a lot of exciting projects available.
As an intern on our team, you'll take ownership of a high-impact project at the intersection of your technical strengths and our most pressing graphics, rendering, or media challenges. You'll work closely with your intern manager, team leads, and collaborators across 1–2 partner teams to deliver tangible results within your internship. This is an opportunity to do significant, portfolio-worthy work that directly supplies Figma's visual platform.
This is a 12 or 16-week internship role that can be held from one of our US hubs (San Francisco or New York) starting in May or June of 2027.
What you'll do at Figma:
Learn from industry graphics engineers and participate as an embedded team member of the Rendering & Animation team
Collaborate with engineers, PMs, designers, and researchers to scope and execute your work
Develop, validate, and document solutions from prototypes to production-ready systems
Drive projects that apply research insights to meaningful product challenges
Contribute to exciting domain areas; some examples: crafting and optimizing shaders for sophisticated effects, investigating improvements to anti-aliasing algorithms, improving media processing capabilities, animating spline interpolation, and more!
We'd love to hear from you if you have:
Current enrollment as a 4th or 5th year senior PhD student pursuing a PhD in Computer Graphics, Media Processing, or a related field
Experience working with OpenGL, WebGL, WebGPU, Vulkan or Metal and their respective shader languages (GLSL, WGSL) or other low-level graphics APIs
Proficiency in either C++ or Rust
A track record of rigorous problem-solving through academic or applied research, with experience thinking holistically about use cases and the low-level technology required
While it's not required, it's an added plus if you also have:
Demonstrated expertise in computer graphics, supported by publications at conferences such as SIGGRAPH, Eurographics, High Performance Graphics, NVIDIA GTC, or Pacific Graphics
Proficiency in WebAssembly, web graphics, 2D graphics, performance optimization, animation, geometry, or media
Interest in art and design applications
Experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
Related industry experience via a past internship or full-time role
Strong communication and interpersonal skills, with demonstrated experience collaborating across functions
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$74
—
$74 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Engage with prospective clients to understand their business challenges and requirements related to ERP and CRM systems. Develop and deliver tailored product demonstrations, presentations, and workshops.
-крепкие теоретические знания основ JavaScript, HTML/CSS, навыки работы со средами программирования. -знание типов данных, умение работать с массивами и объектами, знать, что такое прототипы и как с ними работать, знать, что такое AJAX.
Задачи:
— .NET-разработка в проектной занятости.
Требования:
— Коммерческий опыт разработки на .NET от 4 лет.
— Знание платформы .NET, языка C# и SQL.
— Опыт работы в банковской сфере.
— Опыт разработки веб-приложений с использованием ASP.NET и разработки REST API.
— Понимание принципов объектно-ориентированного программирования.
— Знание паттернов проектирования и применение принципов SOLID.
— Понимание принципов и способов интеграции с другими системами.
— Понимание Git и Git Flow: Pull, Push, PR, Merge, ведение веток.
Условия:
— Проектная занятость.
— Оформление через ИП.
Frontend-разработчик (TypeScript / React) | FinTech IT Вакансии Ищем Frontend-разработчика с опытом в FinTech, который уверенно работает с TypeScript и React, умеет развивать существующие решения и готов использовать AI-агентов в ежедневной разработке.
Location: Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
About the role
We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed. You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations). In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones. Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting.
Much of this is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the communication strategy (internal and external), the cross-functional handoffs. Your role is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them. You will be a member of an experienced, high-performing and supportive leadership team.
What you'll own
Own the operating rhythm and planning: annual and quarterly planning, goal-setting, and the weekly and monthly business reviews. Drive budget and headcount planning against the slate, and keep both honest as priorities shift mid-quarter.
Keep major programs from colliding or stalling across research, modelling, product, delivery, and security. Be the person teams come to when it isn't clear who owns a decision, or how to navigate trade-offs.
Be the connective tissue between the Chief AI Officer’s org and the rest of the company: cross-functional planning with product, engineering, security, and finance, so the org's commitments are realistic and its dependencies are visible.
Own and lead special projects: Lead the things that don't fit neatly on any one team's plate: a reorg, a new partnership, a flagship research event, an org-wide planning week. Own them end to end.
Who you are
You have 12+ years of operating experience, with real time inside an AI/ML organization in a Chief of Staff, business operations, or senior program-operations seat. You know how to partner with teams shipping fast & often to high-stakes organizations, and you know how to change course with agility when needed.
You understand how AI actually works—at the level of someone who's done it rather than managed it from a distance. You can talk credibly about how a model turns into a product, what data requirements demand from both research and engineering, and where delivery motions usually break. You're fluent in the numbers. Model performance metrics, data pipeline throughput, budget-to-impact. You don't have to run every program yourself. You do have to understand them well enough that the people who run them respect your judgment.
You hold strategy and execution in the same hand. You can sit in a planning conversation with the Chief AI Officer in the morning and chase down a stuck deliverable in the afternoon.
You thrive in a fast-paced environment, you handle ambiguity with curiosity and confidence, you stay calm when it's messy. You have a track record of bringing order to a fast, complex org without grinding it to a halt.
You are an outstanding communicator and know how to wield soft power. Clear writing, straight talk, the ability to influence teams and individuals, and the executive presence to represent the Chief AI Officer in high-stakes conversations.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem.
The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning.
A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions.
The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS solutions, integration architectures, data, and AI/ML technologies.
What you'll be doing:
Finance Systems Leadership & Business Partnership
Lead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications.
Partner with Finance leaders to understand business priorities and translate Finance transformation objectives into technology strategies, roadmaps, and solutions.
Own the technology portfolio and multi-year roadmap balancing business priorities, technical debt, platform lifecycle, and operational sustainability.
Establish engineering and product practices that balance speed, business value, user experience, scalability, reliability, security, and maintainability.
Develop strong partnerships with Enterprise Architecture, Data Engineering, ML Engineering, Integration, Infrastructure, Cybersecurity, and other technology teams to deliver cohesive end-to-end solutions.
Manage strategic technology vendors and implementation partners to ensure successful delivery, operational excellence, and continuous innovation.
Build and develop a high performing organization across model building, systems analysis/product ownership, and software engineering disciplines while fostering a culture of accountability, collaboration, innovation, and continuous learning.
Planning, Finance Applications & Software Engineering
Provide technology leadership for enterprise-scale financial planning, budgeting, forecasting, and scenario-modeling solutions used across Finance.
Lead the engineering, maintenance, and support of custom applications and services that address Finance-specific business requirements.
Provide leadership for Finance SaaS applications adjacent to the core SAP ERP ecosystem.
Ensure Finance solutions integrate effectively with SAP and the broader enterprise application and data ecosystem while maintaining appropriate architectural standards and controls.
AI, ML and Data Enablement
Partner with Finance leaders to identify opportunities where data, AI, and machine learning can improve planning, forecasting, financial analysis, automation, and decision making.
Assess capability gaps and establish development plans, role expectations, and ways of working that prepare the Finance Systems Engineering organization to collaborate effectively with Data Engineering and ML Engineering teams.
Enable teams to translate Finance business problems and domain knowledge into well-defined data, AI, and ML use cases.
Partner with specialized technology teams to incorporate enterprise data, predictive models, and AI/ML services into Finance applications and business processes.
Define how Finance Systems Engineering will evaluate, adopt, and govern AI and ML capabilities available through enterprise applications, internal data and ML platforms, and approved external services.
Help drive adoption and operationalization of AI/ML capabilities within Finance while ensuring alignment with enterprise architecture, data governance, security, privacy, and technology standards
What we're looking for:
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
10+ years of progressive experience leading enterprise application or software engineering organizations in a large enterprise environment, including accountability for multidisciplinary teams, technology delivery, and operational performance.
5+ years leading through managers, including responsibility for organizational design, talent development, performance management, and succession planning.
Demonstrated experience building and leading multidisciplinary teams across software engineering, enterprise applications, planning applications, systems analysis, product ownership, and technical program management
Experience leading enterprise scale financial planning, budgeting, forecasting, and scenario-modeling platforms, including responsibility for platform strategy, delivery, lifecycle management, and operational performance.
Strong understanding of Finance processes, particularly financial planning, budgeting, forecasting, and related Finance operations.
Demonstrated ability to partner with senior business leaders, translate business and transformation objectives into technology strategy and execution, and own multi-year portfolio roadmaps that balance business priorities, technical debt, platform lifecycle, and operational sustainability.
Strong understanding of software engineering, enterprise architecture, integration, data, and cloud concepts.
Demonstrated ability to develop technical talent and build new capabilities within an engineering organization, including preparing teams to partner effectively with Data Engineering and ML Engineering and to operationalize data, AI, and machine learning capabilities.
Strong executive communication, stakeholder management, and cross functional leadership skills.
Preferred Qualifications
Experience with one or more enterprise-scale planning and forecasting platforms, such as Anaplan, Workday Adaptive Planning, or SAP Analytics Cloud, including solution design, model governance, integration, or platform administration.
Experience leading software engineering teams building custom enterprise solutions using Golang, Java or comparable programming languages.
Experience with event-driven and streaming architectures and enterprise integration patterns.
Experience leading a portfolio of Finance SaaS solutions, such as Coupa, Rightsline, or comparable platforms, including vendor management, integration, lifecycle planning, and operational governance.
Experience with SAP S/4HANA and integration of Finance applications and services with the core ERP environment.
Experience in jointly delivering production AI or machine learning capabilities with Data Engineering and ML Engineering teams, including integration into enterprise applications or business processes.
Understanding of how AI and machine learning can be applied responsibly to Finance use cases, including forecasting, predictive insights, anomaly detection, decision support, and process automation, with attention to data governance, security, privacy, and enterprise technology standards.
Experience supporting technology enabled Finance transformation within a large, global organization.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders.
You will have three mandates:
Build trusted, AI-ready self-service.
Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check.
Set the strategy for how GitLab accesses data.
Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands.
Build data applications the whole company relies on.
Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't.
What you'll do
Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool
Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions
Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck
Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality
Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready
Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable
Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost
Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own
Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake
Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale
Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction
Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work
Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering
What you'll bring
12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads
Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project
Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code
Expert SQL and strong Snowflake experience; working knowledge of Python
Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies)
Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale
Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects
Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company
Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state
Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values
Nice to Have
Experience with LLM routing or gateway tools and managing model costs
Experience with Tableau, Omni, or a BI platform migration
Experience with web app development (e.g., React, TypeScript) and Postgres
Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable
About the Team
Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions.
AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$285,600 USD
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
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
- Разработка, актуализация и реализация долгосрочной стратегии развития компании; - Управление крупными программами трансформации бизнеса и повышения операционной эффективности;
Чем предстоит заниматься: Принимать и разбирать обращения пользователей: проблемы в работе 1С и запросы на новый функционал; Анализировать текущие бизнес-процессы, находить неоптимальные решения и предлагать, как сделать лучше;
Location: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make:
You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues.
Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes.
The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively.
Your day-to-day:
- Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management.
- Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems.
- Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations.
- Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues.
- Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations.
- Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices.
Your skillset:
- SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support.
- Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable.
- API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems.
- Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices.
The interview journey:
- Intro with a member of the Talent Acquisition team - 30 mins
- 1st stage video interview with Lead Applied AI Engineer - 1 hour
- Applied AI and SaaS administration task
- Final stage with Director of Applied AI and senior stakeholders - 1 hour
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion:
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Remote
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
Productions is the “done for you” managed services wing of ElevenLabs, built for creators and media businesses. We bring together our AI audio tools and human experts in linguistics, mixing and post-production to deliver human-edited dubs, audiobooks and more in 15+ languages, directly on the ElevenLabs platform. Our customers include global media broadcasters, publishers, gaming companies and major film studios.
We’re hiring engineers to build the systems behind it: the platforms that let human expertise and AI work together at the quality our clients expect, and the labelling tools our research teams use to improve our models. You’ll own a scope in one of these areas:
- Human data platform: the labelling and evaluation platform research uses to continuously improve our models. You’ll ship new task editors, improve reliability, catch misuse and build the metrics behind higher-quality data pipelines.
- Core productions engine: the backend machine nobody sees but everybody relies on. You’ll build and maintain the services that run our production workflows, with room to lead projects.
- Editor platform: the professional editing tools our production teams work in. You’ll build in Rust, combining UI systems with a deep understanding of the underlying system.
We’re building professional tools and core infrastructure, not consumer features. The work is mostly building, with little hand-holding. You’ll carve out your own scope and own the outcome.
Requirements
- Strong backend engineering experience, ideally in functional programming languages like Rust, with a full-stack focus on designing UI systems. You’ve shipped and run production systems end to end.
- Experience making systems reliable and scalable, such as internal platforms, workflow or task engines, or data pipelines. You take pride in the infrastructure nobody sees but everybody relies on.
- Comfortable switching between building a new tool or editor and hardening the platform underneath it, and keen to lead projects when the opportunity arises.
- Opinionated and able to defend your ideas, but know when to just grind. You’re happy doing the unglamorous work, and you’re hungry.
Bonus:
- Experience building editor or UI-heavy professional tools, with a systems-level understanding of what sits underneath.
- Experience with data labelling or annotation platforms, or managing crowdsourced workforces.
Location
This role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required. If you prefer, you can work from our offices in London, New York, Dublin, Amsterdam, and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
ГибридToronto; Montreal; In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
United Kingdom, London
УдалённоRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
ГибридLondon
УдалённоThis role is remote-first, so it can be executed from anywhere in Europe and the US East Coast, with the ability to operate in GMT-5 to GMT+1 timezones required
