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Developpeur De Logiciel Ia Full Stack Jobs

3,858 active opportunities · Updated for October 2026

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Explore current developpeur de logiciel ia full stack jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Sierra
📍 San Francisco• Full-time• $230K – $390K/yr
26mo ago

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Build Sierra’s platform. At Sierra, we believe agent development is an evolution of software development that requires new tools and systems. You will work on the platform primitives that power how agents are built, orchestrated, and deployed. Invent the foundations of agent development. You’ll design systems that enable engineers and customers to build reliable, steerable agents, including runtime systems, developer tooling, and internal infrastructure. Enable engineers to move faster. You’ll build tools and workflows that accelerate how engineers build and deploy agents across Sierra. What you'll bring A passion for being on the frontier of AI products. Pride in building reliable, maintainable, and secure systems that scale. Motivation and

aisalesforce
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P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Senior Software Engineer at Databricks India, you can get to work across : - Backend - DDS (Distributed Data Systems) - Full Stack The impact you'll have: 1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. 2. Ou

pythonjavaaws
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26mo ago

The Development Infrastructure team builds the infrastructure for the development platform our Asana engineers use every day. We build and operate the software that accelerates how Asana R&D delivers new products to our users. We combine industry best-practices and innovation to enable Asana to remain product-forward delivering a high-quality beloved experience for our users. You will focus on developing the team around you, helping them contribute more and grow as both engineers and individuals. You will channel your passion and enthusiasm as much into recruiting and building a team, as the technical challenges your team will be resolving. This role is based in our Reykjavik office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Manage and lead a team of 3-7 engineers, including a technical lead, with focus on impactful deliveries Define how the team evolves and interacts with the rest of Asana Recruit for and grow the team Lead the team to identify future opportunities to improve development velocity and the developer experience Influence the future of software development at Asana and guide the technical direction across the organization Collaborate with a world-class team of engineers to enable new development capabilities through infrastructure About you 3+ year of engineering management experience The rare mix of intelligence, empathy, integrity and technical skills that allow you to rapidly earn the trust of a technically astute team Focus on maximizing impact, for yourself and your team Ability to provide valuable input to any technical or product discussion Oriented around the multi-year consequences

restaigo
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Tenstorrent
📍 United States• Full-time• $100K – $500K/yr
27mo ago

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Software Engineer on the Acceleration Kernel Development team at Tenstorrent, you’ll work at the intersection of software and hardware performance. You’ll be writing low-level code that directly powers high-efficiency machine learning workloads, optimizing every cycle, every memory move, every instruction. If you're motivated by performance, precision, and real impact, this is where your skills will shine. This role is hybrid, based out of Santa Clara, CA or remote. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A developer who loves high performance code, parallel algorithms, wrangling bits, optimizing compute, and making hardware fly. Great in C/C++ and able to build fast, efficient code from the ground up. Obsessed with performance and precision, especially in ML workloads. Motivated by complex problems and thrives in collaborative, fast-moving environments. What We Need Expertise in building and optimizing compute kernels for parallel ML and high-performance workloads. Ability to analyze and tune instruction-level performance across latency, memory, and bandwidth. A collaborative mindset to work closely with ML engineers and

machine learningaic++
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Databricks
📍 San Francisco• $265K – $364.3K/yr
27mo ago

GAQ125R25 As Head of Corporate Engineering, you will be responsible for Enterprise engineering and operations globally. You will be responsible for building and managing a highly technical enterprise engineering team, developing first principled-based strategies, and enabling strong enterprise security. Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R&D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration. Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential. This role reports directly to the Vice President, Infrastructure and Operations Responsibilities: In this influential role, you will be responsible for: Securing the Enterprise: Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards Building and Scaling our Cloud Infrastructure : Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing & scaling the cloud infrastructure Engineering Tooling : Partner closely with R&D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineer

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Stripe
📍 Chicago• Full-time• Remote
28mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas including: Core Infrastructure—We're the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. Developer Infrastructure—We're responsible for the productivity of all developers at Stripe. Ensure Stripe's engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. Data Infrastructure—We're responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics, and search capabilities. The stack is supported by a collection of internally developed large-scale distributed services and several popular open-source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high-scale services and thousands of individual Stripes across the company. Admin Platform—We empower Stripes to quickly

REMOTEjavamachine learningai
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Together AI
📍 San Francisco• $200K – $300K/yr
28mo ago

About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI! Responsibilities Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale. Develop and optimize runtime inference services for large-scale AI applications. Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Conduct design and code reviews to ensure high standards of quality. Create services, tools, and developer documentation to support the inference engine. Implement robust and fault-tolerant systems for data ingestion and processing. Requirements 3+ years of experience writing high-performance, well-tested, production-quality code. Proficiency with Python and PyTorch. Demonstrated experience in building high performance libraries and tooling. Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale. Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum Preferred: Knowledge of AI inference techniques such as speculative decoding. Preferred: Knowledge of CUDA/Triton programming. Nice to have: Knowledge of Rust, Cython and compilers. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference th

pythonmachine learningai
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Tenstorrent
📍 Austin• Full-time• $100K – $500K/yr
32mo ago

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads. This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets. Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis. Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains. Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design. What We Need Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s cust

machine learningaic++
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Pinterest
📍 San Francisco• Full-time• Remote• From $149.6K/yr
36mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for inquisitive, well-rounded Android engineers to join both our Platform and Product teams. You’ll collaborate closely with product managers, designers, and backend engineers to advance the boundaries of mobile technology and user experiences. Whether you’re building robust frameworks, creating innovative features, or prototyping new tools and ideas, your work will enable both Pinterest developers and engage millions of Pinners worldwide. We value courageous, creative thinkers—engineers ready to propose bold ideas, drive initiatives from vision to launch, and deliver at Pinterest scale. The Platform team drives the core foundations that power Pinterest Mobile, focusing on frameworks, developer productivity, and advancing stability and velocity across the organization. Within Platform, the Builds and Client Testing group dev

REMOTEjavaawsci/cd
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P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as: Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: BS (or higher) in Computer Science, or a related field 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience working

pythonjavaai
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1KOMMA5°
📍 Germany• Full-time• Remote
47mo ago

1KOMMA5° Bei 1KOMMA5° bauen wir Europas führende Energie-Software-Plattform “Heartbeat” und schaffen so ein virtuelles Kraftwerk , das Photovoltaik, Stromspeicher, Wärmepumpen und Ladesäulen der Kunden verknüpft und so die Rentabilität vernetzter Kundenanlagen deutlich erhöht. Wir bieten Kunden zudem einen " One-Stop-Shop" für den Kauf und die Installation individueller und intelligenter Energie-Systemlösungen, damit jeder Haushalt schnell und professionell klimaneutral wohnen, heizen und mobil sein kann. Gleichzeitig arbeiten wir in unserer Technologie-Sparte an der Weiterentwicklung und dem Ausbau der Heartbeat-Software, um Kunden weltweit mit dem Strommarkt zu vernetzen und so immer den günstigsten und saubersten Stromtarif anbieten zu können. Hast du Lust, die Energierevolution mit uns anzugehen? Dann bewirb dich jetzt und werde Teil unserer Mission! Deine Position Haben wir dein Interesse geweckt? Dann bewirb dich jetzt! Du brauchst uns kein Bewerbungsanschreiben zukommen lassen. Schicke uns einfach deinen Lebenslauf, und wir melden uns bei dir. Dein Profil Werde jetzt Teil der Energierevolution und hilf uns, Europas Energieversorgung nachhaltig umzugestalten. Denn: Wir stehen vor der größten Herausforderung unserer Zeit – der Energiewende. Um diese zu bewältigen, braucht es richtige Helden – die Helden der Energiewende. Bei 1KOMMA5° ziehen wir alle an einem Strang und geben jeden Tag unser Bestes, um unser Ziel zu erreichen. Hast du Lust, die Energierevolution mit uns anzugehen? Dann bewirb dich jetzt und werde Teil unserer Mission! Egal, ob Dachdecker, Business Developer, Elektriker, Sales-Manager oder Solarteure, wir brauchen sämtliche Unterstützung um die Energiewende voranzutreiben. Benefits Du bist Teil eines schnell wachsenden Unternehmens mit viel Entwicklungspotenzi al , wo du eigenständig etwas aufbauen kannst und deinen Impact spürst Bewege dich in flachen Hierarchien , übernimm schon während deiner Einarbeitung Verantwortung und arbeite direkt mit

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Databricks
📍 United States• $139.7K – $247.3K/yr
53mo ago

P-273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch, Tensorflow ) Avai

pythonsqlaws
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Databricks
📍 Toronto• C$164.5K – C$224K/yr
55mo ago

P-225 Location: Toronto Only As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex:

pythonjavasql
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Palantir
📍 London• Full-time
63mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a technical writer and editor, you’ll play a key role in helping our customers succeed by creating, maintaining, and improving documentation that supports users of Palantir’s products. At Palantir, we view documentation as a key part of product development. Working at the intersection of users and Palantir’s products, you will develop an understanding of user needs and help them get the most out of our software. You’ll be a thought partner with our product development teams, combining your communication skills with empathy for users and product knowledge. Your work will primarily be on written documentation, but may also include interactive tutorials, recorded demonstrations, or other communication channels. Teams and individuals at Palantir operate with a high degree of autonomy and independence. In this role, you’ll be responsible for setting priorities for your work, deciding where to allocate your time based on an assessment of stakeholder and organisational needs. You should be comfortable thinking about the “big picture” narrative and structure of our documentation, as well as diving into the details. On any given day, you might find yourself editing a guide drafted by a developer, writing a new tutorial for a critical workflow, or identifying an area that needs improvement and partnering with a team to make the fix. You will also gain exposure to the technical infrastructure for composing and distributing platform documentation. Core Responsibilities Understand and communicate the value proposition of Palantir’s products. Create user documentation in partnership with developers and business teams. Review and edit documen

supply chain
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Palantir
📍 Washington• Full-time• $88K – $122K/yr
63mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a technical writer and editor, you’ll play a key role in helping our customers succeed by creating, maintaining, and improving documentation that supports users of Palantir’s products. At Palantir, we view documentation as a key part of product development. Working at the intersection of users and Palantir’s products, you will develop an understanding of user needs and help them get the most out of our software. You’ll be a thought partner with our product development teams, combining your communication skills with empathy for users and product knowledge. Your work will primarily be on written documentation, but may also include interactive tutorials, recorded demonstrations, or other communication channels. Teams and individuals at Palantir operate with a high degree of autonomy and independence. In this role, you’ll be responsible for setting priorities for your work, deciding where to allocate your time based on an assessment of stakeholder and organizational needs. You should be comfortable thinking about the “big picture” narrative and structure of our documentation, as well as diving into the details. On any given day, you might find yourself editing a guide drafted by a developer, writing a new tutorial for a critical workflow, or identifying an area that needs improvement and partnering with a team to make the fix. You will also gain exposure to the technical infrastructure for composing and distributing platform documentation. Core Responsibilities Understand and communicate the value proposition of Palantir’s products. Create user documentation in partnership with developers and business teams. Review and edit documen

supply chain
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