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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

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

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

Role Overview Sureify is looking for an organized, curious Technical Support Analyst to join our Client Support Services team. This role is for someone who wants to be at the intersection of client support, technical investigation, and operations. In today's evolving tech landscape, the most effective support professionals are multi-disciplinary — capable of bridging client business flows and internal technical execution. Your primary mission is to ensure that issues raised in multi-vendor environments are clearly understood, documented, and routed to the right teams. You are the technical translator who makes sure nothing is lost between what the client describes and what our engineers need to act on to resolve the issue. Key Responsibilities Multi-Vendor Triage & Translation: Participate in triage calls involving clients and 3rd-party vendors. Analyze reported issues and determine if the reported issue falls within Sureify systems or an external partner and direct the resolution path accordingly. Translate client discussions into clear, actionable tickets. Investigation and Analysis: Reproduce reported issues and establish what the data actually shows — querying database tables with SQL, reviewing application logs, and inspecting API responses — so every ticket you raise carries technical context an engineer can act on immediately. Global Coordination: Facilitate hand-offs with our India-based engineering teams, including occasional early-morning syncs to align overnight progress with US client priorities. Customer Operations: Take ownership of customer operations projects — support portals, professional services surveys — gathering requirements, defining scope, and delivering solutions for internal teams to run going forward. Internal Documentation Management: Design and structure our Professional Services Confluence sites. This includes organizing the site structure, maintaining page content, and keeping our internal "source of truth" accurate and easy to na

Why Box needs you Box is looking for a strategic events leader who can define how we show up in the market and ensure our event investments drive measurable business impact. This role is critical as we sharpen our strategy across marquee events, sponsored industry moments, and the broader event portfolio, bringing greater clarity to where we invest, why we invest, and how those programs support pipeline and brand goals. We need someone who can operate as a true strategic partner to executive leadership, bring cohesion across teams, and elevate how Box presents itself through memorable, high-impact experiences. This person will create stronger alignment between strategic events and field priorities and build the framework that guides our event strategy going forward. Your impact at Box Own and evolve Box’s strategic events vision, including marquee moments such as BoxWorks, Dreamforce, Google Next, and other high-impact national and sponsored events. Develop a clear event strategy that connects Box-led and third-party events to business objectives, audience engagement, pipeline targets, and brand goals. Evaluate the right mix of events for Box to sponsor, host, and scale, ensuring investments are aligned to measurable return and long-term impact. Partner closely with executive stakeholders and cross-functional teams including Field Marketing, Partner Marketing, Product Marketing, Brand, PR, Content, and Sales to align priorities and execution. Lead the strategic planning behind large-scale customer experiences while guiding teams and agency partners responsible for production, logistics, and execution. Build and refine a repeatable playbook and operating framework for how Box approaches events, ensuring consistency in brand presence and decision-making across programs. Define strategic team structure, priorities, and operating models across strategic events and adjacent functions to support Box's long-term vision, ensuring clear roles, responsibilities, and ownership

Overview: Play a vital role in Guidepoint’s success. Guidepoint is seeking an entrepreneurial and outgoing individual to spearhead coverage of our Insights expert call and transcript library product for our Corporate Healthcare client base. As a liaison for our clients and salespeople, you will play a pivotal role in driving engagement and revenue growth within the rapidly expanding Insights product line. Leveraging your exceptional CRM skills, effective organization, and keen attention to detail, you will collaborate cross-functionally to maximize usage of our offering among our active trials and current subscribing clients. This highly visible position will involve working closely with the Insights group heads to develop strategic plans for enhancing client engagement and retention. This is a hybrid role located in New York City. What You’ll Do: Serve as an advocate for the Insights product with corporate healthcare clients and foster three-dimensional relationships with key stakeholders Develop personalized engagement plans for each client depending on therapeutic areas of focus, ongoing clinical trials of interest, and competing companies to effectively market Insights content Monitor and drive client engagement through direct outreach efforts: direct emails, product demonstrations, virtual and onsite meetings Collaborate with sales team to ensure timely renewals and drive upsell opportunities Acquire valuable feedback and insights from clients to inform product development, marketing strategies, and sales efforts What You Have: Bachelors or masters degree from an accredited University, Healthcare-adjacent coursework is a plus 2+ years of professional work experience, with a focus on B2B product sales Understanding of the corporate org structure, the roles, responsibilities, and unmet needs of our corporate buyers, and ability to engage with senior business leaders with innovative content and ideas Excellent communication skill

Overview: We’re expanding our sales organization and looking for a true hunter to drive growth across our Qsight suite of data solutions. This is a high-impact, high-visibility role — you’ll be a key driver of the business’s growth trajectory and an integral voice in shaping its forward direction. If you thrive on building territory, opening doors, and turning data into a compelling story that resonates with senior decision-makers, we want to talk to you. This isn’t just another sales seat — it’s a chance to help define how the business grows. You’ll have direct influence not only on revenue, but on the products and strategy that follow. This position can be remote with ET working hours. What You’ll Do: Own and grow your territory like it’s your own business — working with an existing pipeline and expanding it Sell across the full range of Qsight data services, including both syndicated and custom data solutions Translate complex data sets into clear, compelling narratives that resonate with brand and business leaders Prospect proactively and consistently to build a healthy, sustainable pipeline Engage and sell directly to senior leadership and C-Suite stakeholders Write and structure proposals that clearly articulate value and drive deals forward Serve as a front-line source of strategic insight — feeding learnings from the market back into both sales strategy and product development What You Have: 4+ years of experience selling syndicated and/or custom data to brands A demonstrated ability to tell a story with data, not just present it Strong, self-driven prospecting skills and a hunter mentality Proven experience selling to senior leadership and C-Suite audiences Excellent proposal writing and structuring skills An entrepreneurial mindset — comfortable owning and growing a territory independently Experience selling to CPG or Professional Beauty brands is a plus, though not required What We Offer: The total compensation range for this role is $200,000

Overview: Play a vital role in Guidepoint’s success. Guidepoint is seeking an entrepreneurial and outgoing individual to spearhead coverage of our Insights expert call and transcript library product for our Corporate Healthcare client base OR our Institutional Investment/Equity client base. As a liaison for our clients and salespeople, you will play a pivotal role in driving engagement and revenue growth within the rapidly expanding Insights product line. Leveraging your exceptional CRM skills, effective organization, and keen attention to detail, you will collaborate cross-functionally to maximize usage of our offering among our active trials and current subscribing clients. This highly visible position will involve working closely with the Insights group heads to develop strategic plans for enhancing client engagement and retention. This is a hybrid role located in New York City. What You’ll Do: Serve as an advocate for the Insights product with clients and foster three-dimensional relationships with key stakeholders Develop personalized engagement plans for each client depending on areas of focus Monitor and drive client engagement through direct outreach efforts: direct emails, product demonstrations, virtual and onsite meetings Collaborate with sales team to ensure timely renewals and drive upsell opportunities Acquire valuable feedback and insights from clients to inform product development, marketing strategies, and sales efforts What You Have: Bachelors or masters degree from an accredited University, 2+ years of professional work experience, with a focus on B2B product sales Understanding of the corporate org structure, the roles, responsibilities, and unmet needs of our corporate buyers, and ability to engage with senior business leaders with innovative content and ideas Excellent communication skills, with the ability to distill complex issues into clear and concise messages Experience working with or using expert

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

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

Sigma is transforming how businesses allow customers to build apps, agents and dashboards on top of governed enterprise data. Hence, we are growing the design team and looking for designers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of designers with a shared mission to make data easily accessible for all users. We're looking for a Senior Product Designer / Design Engineer who sits at the intersection of interaction design and AI engineering: someone who uses AI to ship faster, builds the skills and evals that make AI more effective, and invents new interaction paradigms for how people work alongside intelligent systems. This isn't a traditional design role. Yes you'll be using Figma, but also writing code with AI, training it, evaluating it, and questioning every assumption about what a "UI" can be when the interface itself reasons. Please note this is a 4 day on-site role in our San Francisco office. What You'll Do Start with AI, stay with AI. Use LLMs to clarify scope, draft specs, surface edge cases, and align your team before committing to a direction, use AI coding tools to build and iterate on the solution itself, and merge code to prod when fits. Prototype in code. Build working interfaces with Cursor and Claude Code, guiding structure, behavior, interaction, motion and UX quality while AI handles implementation. Partner directly with engineering to decide what moves into the product and what stays as a validated spike. Bring it to production. Fix small interaction and refinement issues directly on prod code. Design new AI interaction paradigms for conversational interfaces. Invent and validate novel patterns for how users converse with, direct, and trust AI systems - especially in data contexts where precision and confidence matter. Write evals, skills, and help on tools. Build the scaffolding that makes AI reliabl

About the Team LCSP is DoorDash’s entrepreneur-led fleet model: independent partners hire, train, and manage courier fleets that fulfill DoorDash orders. The program has proven product-market fit and is now scaling with a path toward a much larger network. This hire would stand up the Account Management function for LCSP and own the strategy for bringing partners in at scale. About the Role For this role the Manager would be the person who builds the Account Management function — not just covering a book of partners, but designing how DoorDash sources, onboards, and manages LCSP entrepreneurs as volume grows. In the near term that includes overseeing entrepreneur onboarding and recruitment of business partners. In the longer-term the goal is to build those out as their own functions, with AM remaining the owner of the ongoing partner relationship. The primary responsibilities include: Stand up Account Management for LCSP: cadences, partner health, performance incentives, and the playbook for a scaling Own the strategy for onboarding partners — how we find, launch, and ramp without the process breaking as we scale Oversee onboarding and sales in the near term, with the mandate to build that function out over time Be the primary DoorDash counterpart for LCSP entrepreneurs after launch Partner with operators on performance, business health and incentive outcomes Use DoorDash ecosystem knowledge to unblock partners, pulling in S&O, product, support, and legal as needed. You will report to the Senior Manager on our Local Commerce Service Provider (LCSP) team in our Dasher & Logistics organization. You’re excited about this opportunity because you will… Be responsible for your own book of work as well as designing how its managedBuild scalable solutions with our partners - we want to build with them and leverage their professional expertise and feedbackBe part of a flat structure and pave the way for LCSP expansion Learn how the

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 8+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 5+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code

About the Team The India People team is establishing the people practices and employee experience that will support the launch and growth of our Hyderabad site. We partner closely with site leaders and employees to create effective teams, consistent leadership practices, and a healthy, sustainable workplace as the operation scales. About the Role As the India People Business Partner, you will be a highly visible, hands-on presence at the Hyderabad site, staying close to daily operations, leaders, and employees throughout the site’s launch, growth, and stabilization. You will support employee engagement, manager effectiveness, organizational effectiveness, talent management, employee relations, workforce planning, and change management. You will coordinate two Human Resources Generalists and use people data to identify risks, improve day-to-day execution, and help shape the site’s future people practices. You will report to the People Director on our EE People Ops - HR Business Partner HRBP team in our HR organization. Schedule: Night Shift — 5:00 PM–2:00 AM or 6:00 PM–3:00 AM You’re excited about this opportunity because you will… Partner daily with site and functional leaders on team effectiveness, manager support, performance concerns, role clarity, workforce needs, and other people topics that emerge as the site scales. Support employee engagement, workplace culture, team health, and manager consistency while helping leaders and employees navigate new processes, changing structures, and operating model changes. Support team design, workforce planning, succession planning, talent cycles, and role clarity while identifying opportunities to improve the site’s organizational effectiveness. Manage sensitive employee relations matters, support investigations and escalations, and promote consistent application of company policies and local labor requirements. Coordinate and prioritize the work of two Human Resources Generalists while partnering with the Senior Manager o