Вакансии

Задачи: — поддержка автоматизированных складских систем — устранение производственных проблем — обеспечение надежной работы систем

Sentient is looking for a Senior Backend Engineer to build and maintain fault-tolerant infrastructure, cloud backend services, APIs, and AI workflows.

Shield AI is looking for a Chief Engineer Air Vehicle Lead to lead aircraft design, integration, testing, technical risk, and production readiness.

Shield AI is looking for a Simulation Framework Engineer to develop simulation adapters, plugins, interfaces, tests, and framework integrations.

DRW is looking for a Platform Engineer AI Engineering to build and operationalize AI tooling, gateways, integrations, and usage controls.

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/

- Деплоить, обновлять и эксплуатировать сервисы Big Data платформы: HDFS, Ozone S3, Iceberg и др. - Поддерживать пилот: перестраивать работу кластера под тысячи мелких таблиц и файлов.

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: New York; Remote; 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 Build and run the internal data platform that helps Alchemy understand product usage, revenue, and the cost of serving customers. The existing Data Engineer intake centers on ingestion, Snowflake operations, workflow orchestration, data quality, and collaboration with analytics partners. You will own ingestion, schema changes, and checks that show whether shared datasets are current and correct. You will work with analytics engineers and data scientists to define those datasets for reporting, analysis, and AI-assisted tools. WHAT YOU WILL DO - Build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources to the internal data platform. - Make ingestion recoverable through change-data capture, schema-change handling, idempotent processing, and safe backfills. - Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs. - Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines safely. - Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers. - Work with analytics partners on shared data models, source definitions, and documentation. Make dataset ownership and upstream dependencies clear. - Reduce recurring manual work and build reusable tools for self-service data access. - Participate in production support and incident response for pipelines and the data platform. Restore data flow, reconcile affected datasets, and fix the causes of recurring failures. WHAT WE ARE LOOKING FOR - Experience independently building and operating production data pipelines and the infrastructure around them. - Strong SQL and Python skills, including testing, debugging, and maintainable software design. - Experience with Snowflake or a comparable warehouse, including performance tuning and access management. - Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems. - Understanding of data modeling, incremental processing, schema evolution, and data-quality testing. - The ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it. - Good judgment about stakeholder needs: turn recurring requests into reusable datasets or tooling, and make trade-offs clear. Blockchain experience is not required. HELPFUL EXPERIENCE - Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies. - Infrastructure as code, data observability, lineage, and disaster recovery. - Usage metering, billing and revenue data, or semantic layers for self-service analytics. WHAT SUCCESS LOOKS LIKE Within three months: - You own a production pipeline and have shipped an improvement to its freshness, reliability, or operating cost. - Downstream users can see whether its data is current, recovery procedures have been tested, and a recurring manual request has become a reusable dataset or tool. 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.

Location: Remote, Global ABOUT THE ROLE We are seeking a platform engineer to join our Compute team. This team owns the critical systems that power project provisioning, scaling, and the compute that our users rely on every day. You’ll work on the core platform that ensures Supabase can seamlessly scale across multiple regions, handle high-volume workloads, and provide low-latency, highly available compute services. You'll design, build, and operate systems that are both robust and highly automated — enabling us to provision new projects reliably at scale, optimize resource utilization, and deliver a seamless experience to the millions of databases which we manage. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement systems to provision, scale, and manage the multi-region compute workloads powering Supabase projects; - Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization; - Improve automation and observability across the compute stack to ensure high availability and performance; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Collaborate cross-functionally with other teams to help leverage compute as a core platform offering; - Participate in on-call rotations, incident response, and post-incident reviews; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A GOOD FIT IF YOU: - Have strong software engineering skills (Go and Typescript required); - Experience building and operating cloud infrastructure or distributed systems at scale; - Have 5+ years experience with cloud infrastructure (AWS required, additional experience with GCP and Azure is a plus) - particularly compute, networking, and storage services; - Have 3+ years experience working with building custom Kubernetes controllers, and operating large-scale (tens-to-hundreds of thousands of pods) clusters; - Are knowledgable about networking and multi-region infrastructure design; - Are familiar with Postgres; - Have experience with Infrastructure as Code tools (Pulumi highly preferred, Terraform/CDK etc acceptable) - Have experience working with QEMU, KVM, and NAS is a plus; - Have experience with being part of on-call rotations for large production system; WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Быть активным участником инженерных проектов, помогать в их выполнении и предвидеть проблемы с поставками. — Определять долгосрочные позиции, критические материалы и сложные детали как можно раньше и обеспечивать их наличие до того, как они станут узкими местами для тестирования и сборки. — Действовать при угрозах графику прототипа, связанных с мощностями обработки, доступностью материалов, очередями на специальные процессы или поздними изменениями в дизайне. — Быть ключевым связующим звеном между инженерией и производством, сообщать о рисках цепочки поставок и критических деталях для успешной передачи в производство. — Поддерживать успех каждой итерации инженерного прототипа и готовить производство к запуску и массовому производству. — Обеспечивать поддержку быстро меняющихся инженерных команд, работающих над несколькими аппаратными проектами. — Переводить концепции, изменяющиеся спецификации и изменения в дизайне в конкретные шаги по закупкам с минимальными задержками. — Предоставлять инженерам актуальную информацию о доступности материалов, компонентов и вариантах быстрого производства. — Выявлять проблемы с поставками до того, как они станут блокирующими, и предлагать обходные пути. Требования: — Проактивность и ориентация на решение проблем. — Глубокое понимание процессов механического производства, материалов и прототипирования аппаратного обеспечения. — Умение работать в условиях неопределенности и предвидеть проблемы. Условия: — Постоянная работа в офисе в Эспоо, Финляндия. — Работа в глобальной команде ICEYE, лидера в области спутниковой разведки. — Подчинение менеджеру цепочки поставок R&D. — Требуется прохождение проверки безопасности (включая SUPO, если необходимо).

Задачи: — Быть активным участником инженерных проектов, помогая их выполнять и опережая проблемы с поставками. — Определять долгосрочные позиции и критические компоненты как можно раньше и обеспечивать их наличие до того, как они станут узкими местами для тестирования и сборки. — Действовать при угрозах срыва графика прототипа из-за сроков поставки, распределения или поздних изменений в дизайне. — Быть ключевым связующим звеном между инженерией и производством, сообщая о рисках цепочки поставок и критических компонентах. — Поддерживать успех каждой итерации инженерного прототипа и готовить производство к запуску и массовому производству. — Обслуживать быстро развивающиеся команды инженеров электроники, работающих над несколькими аппаратными проектами. — Переводить концепции, изменяющиеся спецификации и изменения в дизайне в конкретные шаги по закупкам с минимальной задержкой. — Консультировать инженеров по выбору компонентов с точки зрения доступности, альтернатив, устаревания, стоимости и сроков поставки. — Выявлять проблемы с поставками до того, как они станут блокирующими, и предлагать обходные пути. Требования: — Проактивность и ориентация на решение проблем. — Глубокое понимание электроники, производства печатных плат и прототипирования аппаратного обеспечения. — Умение работать в условиях неопределённости и предвидеть проблемы. Условия: — Постоянная работа. — Офис в Эспоо, Финляндия. — Работа в отделе глобальной цепочки поставок. — Подчинение менеджеру инженерных операций. — Требуется прохождение проверки безопасности (включая SUPO, если необходимо).

* Deploy, configure, and maintain enterprise network devices (switches, routers, firewalls, and access points) across ICEYE’s Espoo headquarters, international sites, and data center facilities. * Administer and maintain Next-Generation Firewalls and cloud-delivered security solutions, focusing primarily on Palo Alto Networks and Prisma Access.

🧩 Требования: от 2 лет опыта с Python и библиотеками для работы с данными (pandas, multiprocess, Google Cloud SDK); от 2 лет в ETL/ELT‑технологиях (REST API, GraphQL, DBT) и оркестрации пайплайнов (Airflow, Astronomer, DBT Cloud);

Key Responsibilities Drive deals to closure through pre-sales support and technical account management. Conduct technical qualifications of prospects by thoroughly understanding their business and technical needs.

Location: Paris; London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in France and Southern EMEA. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across France and Southern EMEA.   WHAT YOU'LL DO - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.   WE’D LOVE TO HEAR FROM YOU IF YOU HAVE - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English and French   WE'D BE PARTICULARLY EXCITED IF - Like working in a fast pace environment - Can also speak Spanish and or Italian - Based in Paris or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.   COMPENSATION We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.

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.