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Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a GTM Recruiter you'll help GitLab build the go-to-market teams that drive our growth. In this individual contributor role, you'll partner with leaders across Sales, Marketing, Customer Success, Professional Services, Field Operations, Enablement and Ecosystems and own searches from intake through close. You'll build inclusive pipelines and use data and market insight to guide hiring decisions, while growing into a trusted talent advisor. What you'll do Manage full-cycle searches for Account Executives, Solutions Architects, Customer Success, Sales Development, and Sales Operations, delivering against agreed recruiting goals and key metrics with accurate, timely documentation in Greenhouse. Lead intake and kickoff conversations to align hiring teams on role scope, territory or segment, quota and ramp expectations, interview plans, and timelines, with senior team guidance as needed. Partner with hiring teams on structured, equitable interviews with clear competencies and actionable feedback; challenge assumptions and escalate risks or blockers early. Use talent-market research, compensation and on-target earnings (OTE) benchmarks, funnel metrics, and candidate feedback to shape search strategy and address hiring issues. Assess sales candidates on track record, quota attainment, deal complexity, and experience relevant to GitLab's sales segments and approach. Build research-based, diversity-focused sourcing plans that balance applicants, passive talent, referrals, internal talent, and targeted outreach. Deliver a thoughtful candidate experience through disciplined pipeline management, proactive communication, timely feedback, and offer negotiations that clearly explain compensation and OTE. Improve recruiting practices by sharing learnings and reusable resources, using artificial intelligence (AI) responsibly, and representing GitLab's mission, values, and culture. What you'll bring Intermediate-level recruiting experience, with a track record of owning full-cycle searches independently. Sales or go-to-market recruiting experience, or a strong interest in learning sales segments, quotas, OTE, ramp time, territory design, and sales cycles. Developing advisor skills: building stakeholder trust, influencing without authority, and managing hiring team expectations. Experience building proactive, diversity-focused sourcing strategies and balanced pipelines. A data-informed approach that turns funnel insights into practical actions. Strong organization across multiple requisitions and clear written and verbal communication across time zones, with attention to detail and candidate care. Experience with an applicant tracking system and recruiting tools such as Greenhouse, Metaview, LinkedIn Recruiter, LinkedIn Insights, SeekOut, or comparable platforms; ability to evaluate AI-generated work, protect confidential information, and share responsible workflows with team members. Technology or business-to-business (B2B) software recruiting experience is helpful, not required. About the team We work in a globally distributed, remote-first Talent Acquisition team where clear communication and reliable follow-through matter. Guided by GitLab’s operating principles, including Speed with Quality, Ownership Mindset, and Customer Outcomes, we take ownership, move with urgency and rigor, and focus on hiring outcomes that matter to our internal customers. We share learnings and create reusable resources to continually improve the quality and consistency of hiring across GTM teams. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $86,400 — $146,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. WHAT YOU WILL DO - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. NICE TO HAVE - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts. ROLE We are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead. - Drive and own product vision, strategy and roadmap, guide feature prioritization and scope. - Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team. - Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback. - Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech. - Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking. - Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing. - Support the tech team by identifying new organizational tools and processes to improve efficiency. - Act as the main point of contact for top management on deliveries and decisions - Apply analytical thinking to continuously evaluate and improve product performance PROFILE - Extensive proven experience as a Product Manager in the tech industry - Data analyst or Data Scientist background is a strong plus - Value-driven, data-driven, and open-minded problem solver - Great communicator and a team player, who likes to drive results together. - You are fluent in English and have a French conversational level. - Interest in gaming and mobile apps BENEFITS - Competitive salary upon experience - Swile Lunch vouchers - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Flexible vacation policy - Remote days

About Dambuster Studios: Originally founded in 1999 as Free Radical Design, the company values passion, quality, and teamwork, fostering a diverse and inclusive culture. The only requirement is that candidates work from the UK, with relocation support available if the role requires frequent on-site presence. Role overview: The position is a fixed-term contract until March 2028 for a Character Artist to join the External Development team. Responsibilities include supporting and guiding external partners in creating high-quality character assets such as characters, clothing, hair, and accessories; maintaining visual quality and consistency by reviewing content and providing feedback; supporting integration of externally developed content; and contributing to AAA titles in a fast-paced environment. Responsibilities: — Provide clear technical and aesthetic feedback to external artists, maintaining a consistent high-quality bar for the game. — Collaborate with internal teams to align external content with the project vision. — Coordinate with internal artists and production teams to ensure smooth collaboration with external partners. — Prepare and maintain art briefs, asset packs, and documentation to guide external development teams. — Contribute to art style guides, development pipelines, and best practices, working with wider art and engineering teams to resolve risks and improve workflows. — Participate in art reviews, ensuring clear and actionable feedback is communicated to external teams. — Partner with concept artists and art direction to ensure reference material provided to external teams is clear, detailed, and production ready. — Apply established visual benchmarks to guide external partners in meeting the studio’s quality expectations. — Create and iterate on high-quality character models, materials, clothing, hair, and accessories as required to support production and external development needs. Requirements: — Excellent spoken, written, and visual communication skills to clearly explain complex tasks, instructions, and technical issues to external partners. — Strong ability to work from detailed concept art and reference materials when supporting external teams. — Highly organised with the ability to manage multiple tasks, adhere to asset organisation standards, and follow established pipelines. — Proficient understanding of art development workflows including high-to-low poly modelling, lighting, and PBR material authoring, applying best practices to minimise visual issues and bugs. — Understanding of game engine tools, pipelines, and technical limitations (memory, GPU, CPU performance). — Strong problem-solving skills to anticipate challenges, overcome setbacks, and identify effective solutions. — Willingness to travel when required to support external development. Conditions: — Core hours 9.30am – 4pm with flexible remaining hours. — Relocation support to Nottingham, UK if required. — Holiday allowance increasing with service up to 30 days plus statutory public holidays. — Inclusion in annual pay review after 12 months. — Company pension contribution increasing with service. — Private Medical Insurance via AXA Health including dental and optical cover. — Life Assurance Scheme via Zurich (x3 salary cover). — Company enhanced full pay for maternity leave for first 26 weeks. — Clear career progression within the studio. — Studio funded learning and development opportunities. — Modern game development environment with latest technologies. — Vibrant city centre location with good transport links. — Travel Loan Scheme for Nottingham-based employees. — Fully subsidised gym membership. — Quarterly company funded cross-team events. — Free weekly office treats. — Employee referral bonus scheme. — Cycle to work scheme.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO: - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code   WHAT YOU BRING: - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms   Annual salary range: $175,000-$240,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Kuala Lumpur, Malaysia The Company Our client is a fast-growing D2C longevity/wellness company. They are on a mission to become the leading player in the evidence-based longevity supplement industry. They aim to provide effective, science-backed healthy aging solutions to anyone who wants to feel invigorated, vibrant, and youthful. They are passionate about the science behind what they do and the people they support. Beyond their innovative supplements from their Swiss R&D, they're expanding their reach into the digital health landscape, developing personalised coaching and lifestyle management solutions. Our client has been selling our products to thousands of health enthusiasts across the world already. Backed by strong investors, they are working on making the company a global household name in healthy aging. Join our client as they shape the emerging longevity space, fostering healthier, longer lives! The Role Our client is looking for a self-driven, highly motivated individual to join their Strategy and Venture Development team. Working closely with their founders and a wide range of stakeholders, you'll drive high-priority projects across investor relations, fundraising and new ventures. As a lean, fast-moving startup, our client needs someone who can own projects end to end, from ideation through to execution and maintenance. Priorities can shift quickly, so you'll bring both rigor and agility, and the proactiveness to judge what needs to be done and when, without waiting to be told. Key Responsibilities (but not limited to) Investor relations & fundraising: Support fundraising end to end, from building the equity story and investor materials (pitch decks, data rooms, financial models) to managing the investor pipeline, follow-ups and ongoing investor reporting. High-priority projects: Drive cross-functional strategic projects set by leadership, structuring ambiguous problems, building the analysis, aligning stakeholders and seeing recommendations through to implementation. New markets & ventures: Research and evaluate new market and venture opportunities, covering market sizing, competitive landscape, regulatory considerations, and channel and partner options, and turn them into actionable go-to-market plans. Financial modelling: Build and maintain robust financial models and business cases (P&L, unit economics, scenario and sensitivity analysis) to support investment, expansion and venture decisions. Performance tracking: Define and track the KPIs that matter most to leadership and investors, turning large datasets from across the business into clear insights and recommendations. What Success Looks Like in Your First 6 Months In your first 6 months, you'll be measured on two core outcomes: A restructured investor relations & fundraising framework: You've rebuilt how our client presents itself to investors, establishing a set of key metrics that let investors benchmark our client against comparable growth startups, and a compelling, data-backed growth story for the business. New market expansion, ready for decision: You've completed in-depth research on priority new markets and developed a clear go-to-market strategy for them, backed by a robust financial model that leadership can use to make investment decisions. Requirements Our client is looking for a proactive all-rounder who blends analytical rigor with strong business acumen. Based in Malaysia and able to work in office 3 days per week. 1-2 years of consulting experience (management, strategy, transaction advisory or similar), with exposure to a broad range of business problems. Bachelor's degree in business, economics, finance, engineering or a related analytical field. A true all-rounder with strong business acumen , equally comfortable building a financial model, crafting an investor narrative and getting stuck into execution. Data-driven mindset with a strong analytical background ; comfortable building and working with large, complex data models (expect heavy use of Microsoft Excel). Clear, structured communicator in English, able to turn complex analysis into compelling storylines and presentations for senior leadership and investors. You are proactive, highly independent, and thrive in a startup environment where you can identify opportunities and take ownership without waiting for a playbook. Passion for health, wellness, and longevity (or the eagerness to dive deep into the field).

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Team Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth. That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers. About the Role We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world. This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly. What You'll Do - Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures. - Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation. - Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable. - Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions. - Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint. - Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements. What You'll Bring - Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work. - Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations). - Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior. - Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture. - Strong Python skills and a habit of writing code that others can rerun and build on. - A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience. Nice to Have - Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent). - Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks. - Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar). - Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing. - Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems. - Prior industry or research internship experience shipping or contributing to a production CV system. Compensation & Benefits The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco, CA 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 . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Build and evolve user-facing iOS experiences that help people discover, consume, create, and engage with content and communities. Lead projects through the full development lifecycle, from product definition and technical design to implementation, experimentation, launch, and ongoing improvement. Partner with product, design, data science, ML, backend, and platform teams to shape strategy, translate technical capabilities into intuitive experiences, and deliver measurable user impact. Improve iOS architecture, performance, reliability, accessibility, developer workflows, and engineering standards while mentoring teammates and driving cross-functional technical initiatives. Who You Might Be An experienced iOS engineer who has built and shipped consumer-facing native applications at scale using Swift. A strategic, product-minded partner who connects technical decisions to user and business outcomes and can lead through ambiguity. A clear and collaborative communicator who can explain complex tradeoffs, influence stakeholders, and build alignment across teams. A curious, adaptable, and ownership-oriented teammate who embraces experimentation, learns from setbacks, improves processes, and helps others succeed. Technical Qualifications Professional experience developing native iOS applications with Swift and a strong understanding of iOS frameworks and application architecture. Ability to write idiomatic, readable, reusable, and testable code, with strong skills in debugging, performance optimization, reliability, and maintainability. Experience designing mobile systems and interfaces, evaluating architectural tradeoffs, and building scalable features from APIs through user-facing UI. Experience with experimentation, feature flags, instrumentation, analytics, and product or quality-of-experience metrics; familiarity with AVFoundation, VideoToolbox, HLS, media playback, recommendation systems, accessibility, or ML-integrated products is a plus. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States 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 Knowledge Graph Platform team builds the foundational systems that help Reddit understand entities, relationships, and context across its content. We are evolving an advanced, AI-powered knowledge graph into a reliable, scalable platform that enables teams across Reddit to build better experiences on top of shared, high-quality knowledge. This is a high-leverage team at the intersection of data, platform engineering, and AI. Our work supports emerging capabilities such as contextual grounding while creating the contracts, standards, and developer experience that make shared data dependable and easy to use. This team is strategically positioned to impact both ads and consumer roadmaps. Our data is used across ads marketplace models as well as user-facing features on reddit.com . What You’ll Do: Lead, coach, and develop a team of engineers building Reddit’s Knowledge Graph Platform; create a high-trust, high-performing environment with clear goals and strong technical ownership. Set the technical direction and roadmap for a scalable knowledge graph platform, including data and API contracts, service interfaces, reliability, observability, performance, and developer experience. Leverage SOTA LLM and agentic patterns for knowledge graph construction. Establish production-grade operating standards: defining SLOs, implementing quality measures of data within the knowledge graph, governance mechanisms, and safe change-management practices. Partner with engineering, computational linguists, and domain-expert teams to define a shared operating model for ontology, data quality, governance, and platform evolution. Be a steward of data in the KG - ensure the graph has the coverage and freshness needed for priority use cases. Work with our dedicated data labeler team on shared goals around data coverage and quality. Work closely with internal product and engineering teams to understand their needs, prioritize high-value use cases, and increase access to the platform. Drive the next wave of graph-powered capabilities, including opportunities in shopping, search, ads marketplace models, consumer feed models. Stay close to architecture and technical design, helping the team navigate complex system tradeoffs and contribute hands-on when it is the highest-leverage path. Communicate the team’s strategy, priorities, risks, and progress clearly across a distributed, cross-functional organization. Who You Might Be: 8+ years of total software engineering experience, with 2+ years directly managing, coaching, and developing engineering teams. Experience with knowledge graphs, semantic or ontology systems, entity resolution, search, or contextual grounding is highly desired. Experience building or operating AI/ML powered, or data-intensive platforms, with a proven track record of leading shared technical systems with multiple internal customers. Strong understanding of how to turn a technical system into a product-like platform: setting an operating model with customers, establishing data or service-level contracts, useful documentation, and a path to self-service adoption. Experience establishing data contracts around quality, lineage, or governance. Strong technical judgment across distributed systems, backend services, data platforms, APIs, reliability, and operational excellence. Comfortable making technical and product tradeoffs in ambiguity, including when a dedicated product manager is not present. Excellent collaborator and communicator who can earn trust with engineers, senior leaders, and partner teams across time zones. Enjoy building clarity and durable operating mechanisms where ownership and processes are still evolving. Excel in evangelization and driving platform adoption cross org. Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience). Nice to Have: Master’s or Advanced Degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. Location: This role is 100% remote (US & Canada only) and will regularly meet with teams in the EU and the US. Candidates based in ET timezone will be given preference to accommodate team schedules. Perks and Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Competitive salary and equity options Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) Generous 401k matching Flexible vacation policy Paid parental leave (4+ months) Family planning support Paid volunteer time off #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We are currently seeking a Senior Software Engineer to join our growing Consumer team. The Consumer team at Kraken focuses on building applications that expose Kraken's product offering to the mass market. Trying to onboard the next 100 million people to the benefits of crypto.   This role involves setting the technical direction for our "Consumer" applications — a suite of products aimed at offering the simplest way for our customers to interact with Kraken — and delivering the hardest parts of it yourself. We expect anyone applying for this role to have an extreme eye for detail, a passion for building genuinely world class user experiences, a "ship fast but don't ship shit" attitude, and the judgment to know which is which without being told.   The opportunity - Own the architecture and delivery of customer-facing Rust backend services powering trading, payments, and crypto experiences — making the design calls on systems that will outlive the feature you built them for - Take ambiguous, multi-quarter problems from "we think this matters" to shipped and measured, breaking them down so the rest of the team can move in parallel with you - Own features end-to-end rather than stopping at the API/backend boundary, and raise the bar on what "end-to-end" means for everyone around you — customer experience, frontend impact, and the product problem behind what you're building - Partner with product leadership to shape the roadmap for a product area, not just execute against it. You'll bring engineering insight that changes what gets built, and own the outcomes and metrics that follow - Drive initiatives that cross team boundaries — Kraken's trading infrastructure, platform, and other product teams — building the relationships and technical alignment needed to land them - Multiply the team: mentor mid-level engineers, review designs before code exists, unblock people quickly, and leave behind patterns and standards that make the next feature easier than the last - Use AI extensively to amplify scope and speed, moving from manually writing code toward orchestrating AI and validating implementation — and help the team do the same, defining what good AI-assisted engineering looks like here   What you bring - 6+ years of backend engineering experience, with deep Rust proficiency across network services, asynchronous code, and distributed systems design (RPC protocols, Kafka, event-driven architectures) - A track record of owning systems, not just features. You've made architectural decisions in production, lived with the consequences, and can explain the tradeoffs you'd make differently now - Product engineering mindset. You've shipped features from problem → implementation → launch → user impact, with deep understanding of customer experience and product metrics, and you've influenced what got built and what got cut - Demonstrated impact through others: mentoring, design review, technical writing, or setting standards that changed how a team worked - Experience driving work that spans teams or orgs, where the hard part was alignment and sequencing as much as the code - AI-first development approach where AI is already meaningfully incorporated into your workflow; you actively use AI for coding, understanding unfamiliar codebases, crossing technical boundaries, and validating implementations - Ownership mindset with collaborative spirit. You personally drive features end-to-end, work across backend/frontend boundaries, and operate outside technical silos - Openness to how the engineering profession is evolving because of AI, prioritizing shipping valuable products over manual code writing   Nice to haves - Full-stack experience including React/TypeScript or other frontend frameworks — valuable for demonstrating cross-boundary collaboration mindset - Cryptocurrency or blockchain domain knowledge - Experience building and scaling products at consumer-focused technology companies, ideally at meaningful user scale - Experience introducing AI tooling or workflows to an engineering team Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Hybrid | Austin, San Francisco About the Role Cloudflare's Senior Forward Deployed Infrastructure Engineers work where Cloudflare's infrastructure meets customer impact. As a Forward Deployed Infrastructure Engineer, you will be embedded with one of Cloudflare's most strategic customers, collaborating to ensure modern cloud compute capacity is available, reliable, and ready when needed. You will guide new capacity from delivery to production, partnering with Cloudflare's data center and hardware teams to ensure systems pass validation, come online smoothly, and uphold Cloudflare's high standards. You will serve as a bridge connecting Cloudflare's infrastructure, hardware, and data center teams with the customer's engineering organization. You'll ensure teams work from a shared vision, clear operational roadblocks, and feed real-world insights back into how Cloudflare builds and evolves its platform. This role is ideal for engineers who want to: Stay deeply technical and hands-on with real production infrastructure. Guide outcomes from hardware delivery through running workloads. Shape how Cloudflare delivers compute capacity at scale. Build long-term, trust-based partnerships with world-class engineering teams. Responsibilities Capacity Onboarding & Delivery: Lead bringing new compute capacity online for the customer, collaborating on planning, provisioning, validation, and handover to production. Drive turn-ups that are predictable, efficient, and repeatable. Hardware & Spec Validation: Partner with teams to ensure delivered systems meet agreed specifications. Define acceptance criteria and validation workflows, including burn-in, benchmarking, and health checks across compute, storage, and networking. Work alongside on-site data center teams to execute checks and resolve issues. Standards & Operational Readiness: Champion Cloudflare's build, configuration, security, and observability standards prior to capacity launch. Ensure comprehensive monitoring, alerting, and runbooks are established for all production systems. Cross-Team Alignment: Act as the central point of collaboration between Cloudflare's infrastructure, hardware engineering, data center operations, supply chain, and network teams, alongside the customer's engineering group. Technical Accountability: Serve as the primary technical point of contact for the customer's infrastructure, guiding account strategy and technical direction for supporting Cloudflare resources. Reliability & Incident Response: Engage in operational rhythms with the customer and Cloudflare, including standups, capacity reviews, change management, and incident response. Facilitate blameless root-cause analysis and post-incident improvements . Automation & Tooling: Develop production-quality automation and tooling for provisioning, validation, and fleet management to continually improve rollout efficiency. Capacity Planning & Forecasting: Partner with the customer to understand future demand, forecast capacity needs, and proactively identify constraints. Feedback Loop & Product Influence: Surface real-world operational issues and platform opportunities with Cloudflare's Infrastructure, Hardware, and Product teams to inform future roadmaps. Strategic Relationship Management: Cultivate trusted technical relationships with senior stakeholders (Staff+ engineers, Directors, and VPs) across both organizations. On-Site Presence: Spend time regularly on-site at customer offices to foster close communication and partnership with their engineering teams. Desirable Skills, Knowledge, and Experience At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. Infrastructure & SRE Background: Solid experience in infrastructure engineering, SRE, or production engineering, with a track record of running and scaling large-scale production systems. Capacity & Fleet Operations: Practical experience bringing server capacity online, encompassing provisioning, imaging, configuration management, and fleet-scale lifecycle management. Hardware Fluency: Familiarity with server hardware, firmware, BMC/IPMI/Redfish, and diagnostics. Ability to set validation standards, triage issues remotely, and partner with on-site technicians. Experience with GPUs or specialized accelerators is a plus. Linux & Networking: Strong understanding of Linux systems and core networking principles (TCP/IP, BGP, DNS, load balancing, and data center topologies). Automation & Development: Proficiency in languages such as Go, Python, or Rust, along with experience using infrastructure-as-code and configuration management tools (e.g., Terraform, Ansible, Salt). Production Ownership: Experience supporting mission-critical services, including on-call rotations, incident response, SLO management, and reliability engineering. Observability: Familiarity with monitoring, metrics, and logging frameworks (e.g., Prometheus, Grafana, ClickHouse) to maintain system health proactively. Containers & Orchestration: Exposure to Kubernetes or similar platforms and workload scheduling on newly provisioned capacity. AI-Augmented Workflows: Interest or experience in leveraging modern AI tools to streamline automation, debugging, and documentation. Program-Level Coordination: Demonstrated ability to coordinate complex, multi-team delivery efforts across regions and time zones with clear communication and alignment. Proactive Problem-Solving: A self-motivated approach to identifying bottlenecks—whether technical or procedural—and collaborating with partners to implement durable fixes. Stakeholder Communication: Ability to engage comfortably in strategic technical discussions with executive-level stakeholders, translating infrastructure context into business outcomes. Bonus Points Prior experience at a hyperscaler, cloud provider, or large-scale data center environment. Familiarity with Cloudflare's platform and network architecture. Experience in customer-embedded or partner-facing technical infrastructure roles. A history of sharing knowledge, such as technical writing, internal mentorship, open-source contributions, or community presentations. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Chicago, IL; Los Angeles, CA; New York City, NY; San Francisco, CA 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 . We're looking for an experienced seller to join the Restaurants & Drinks vertical of our Large Customer Sales team in Chicago. As a Lead Client Partner, you will be responsible for forming relationships with key brands and agencies while ensuring they meet their business objectives using Reddit's advertising suite. This role is required to be based in person in Chicago, New York, San Francisco, or Los Angeles. Responsibilities: Proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with clients to drive year-over-year revenue growth Proactively construct upfront and joint business plans with top clients Establish mutually beneficial relationships with new clients, educating them on Reddit and the Reddit ads platform Leverage agency and client direct relationships to identify new buyers of Reddit advertising products Leverage data from internal and external sources to inform client strategies and pitch proposals Consistently meet deadlines for all projects, ensuring that clients receive the highest level of customer service Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship Persistently explore and uncover the needs of your clients, leveraging deep product knowledge to align their goals with new and unique opportunities on the platform Collaborate with Account Management and Ad Operations to meet and exceed clients’ marketing goals Shape Reddit’s ads product roadmap by aggregating and sharing client feedback and campaign metrics with cross-functional stakeholders Provide thought leadership and act as a Reddit evangelist with partners and at industry events Share your industry, client, and product expertise by mentoring and training other team members Collaborate closely with other Client Partners and Account Managers to craft a cohesive strategy across shared accounts Build and leverage deep internal relationships, both within your direct team and cross-functionally, working together to deliver on client and business goals Required Qualifications: 12+ years of experience in digital media with at least 7+ years of experience in sales, Restaurants & Drinks client experience preferred Experience owning partnerships with complex enterprise tech organizations Proven experience managing relationships up through C-level executives Deep industry expertise in specific verticals, product types, and/or measurement solutions Deep existing relationships within the agency and client direct space Subject matter expertise in the social media landscape and native advertising Experience building and executing long-term account growth strategies Demonstrated top-performer achievement against sales targets Ability to lead special projects BA / BS degree or equivalent work experience Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off #LI-AT1 #LI-Hybrid Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and will also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $142,200 — $199,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Ищем ML-инженера с сильным практическим опытом работы с LLM: fine-tuning, post-training, evaluation и inference. Важно: это не позиция классического ML Engineer / Data Scientist. Нужен кандидат, который самостоятельно обучал и адаптировал LLM и понимает полный цикл — от данных и обучения до evaluation и deployment. Задачи: - Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation; - Обучение LoRA / QLoRA-адаптеров под различные домены и задачи; - Работа с reward models / verifiers и reward functions для RL; - Разработка RAG-систем: retrieval, reranking, context construction и evaluation; - Обучение и интеграция tool use / function calling / structured outputs; - Оптимизация inference и serving моделей с использованием vLLM / SGLang; Обязательные требования: - Практический опыт fine-tuning / post-training LLM; - Опыт с SFT и preference optimization: DPO / IPO / ORPO / SimPO или аналогами; - Опыт или хорошее практическое понимание Online RL для LLM: GRPO / GSPO или аналогичных методов; - Понимание reward models, preference data и LLM evaluation; - Уверенное владение Python, PyTorch, Hugging Face Transformers; - Опыт с TRL и/или verl; - Опыт с LoRA / QLoRA / PEFT; - Опыт inference / serving через vLLM и/или SGLang; - Опыт разработки RAG, tool use или structured generation; - Понимание архитектуры современных LLM и особенностей их обучения и inference; - Опыт работы с GPU, distributed training и Linux / Docker / Git; - Умение самостоятельно ставить эксперименты, выбирать метрики и анализировать результаты. Будет плюсом: - Continual / domain pre-training; - Reasoning RL; - Multilingual LLM или code generation; - FSDP / DeepSpeed / Megatron-LM; - Quantization и оптимизация inference.

Location: Remote - United States 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 . Role Summary Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. The Content Ecosystem organization works to grow the community-driven ecosystem that makes Reddit unique. Within it, the Community Builders team focuses on the products and systems that help communities form, grow, and thrive. We are looking for a Staff Product Manager to help define the future of communities on Reddit. This is a rare opportunity to shape one of Reddit’s most important consumer experiences: how people find communities, understand where they belong, connect with others, and participate in ways that make those communities stronger. You will lead highly ambiguous, zero-to-one product work that cuts across discovery, contribution, community identity, recognition, and emerging community formats. This is a high-stakes, high-visibility role for a PM with exceptional product judgment, strong user intuition, and sharp UX taste. You will partner closely with Design, Engineering, Data, Research, and cross-functional leaders to turn ambiguous user and ecosystem problems into compelling product direction, moving fluidly from strategy to product detail and from early exploration through launch, learning, and scale. Responsibilities Identify major opportunities to evolve communities on Reddit, and turn them into a clear product strategy and roadmap. Lead zero-to-one community experiences from problem definition through launch, learning, and scale. Build a deep understanding of members, contributors, community builders, and healthy community dynamics, and translate those insights into high-quality product experiences. Assess ecosystem tradeoffs as you evolve the user experience, including impacts to community health, contribution quality, and member trust. Define goals, success metrics, milestones, and learning plans that connect user value with Reddit’s broader strategy. Partner closely with Engineering, Design, Data, Research, and cross-functional teams to make product tradeoffs and execute in a high-stakes, high-visibility space. Create clarity where there is little precedent, and communicate strategy, decisions, tradeoffs, and learning clearly to senior stakeholders Must-Haves Staff-level consumer product experience owning meaningful product surfaces or systems with measurable user impact. Exceptional product sense, including strong user intuition, problem framing, prioritization, UX judgment, and product taste. Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. Experience shaping product bets across multiple surfaces, user journeys, teams, or parts of a broader consumer ecosystem. Strong analytical judgment, including defining success metrics, interpreting evidence, and changing direction when needed. Excellent cross-functional leadership with Design, Engineering, Data, Research, and partner teams; able to resolve dependencies and divergent goals with little direct manager involvement. Nice-to-Haves Experience with community, social, creator, UGC, or marketplace products. Experience shaping user participation, identity, contribution, belonging, or reputation. Experience evolving mature product systems or designing for multi-sided ecosystems with distinct user needs and incentives. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States 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 . What You'll Do: Reddit is a community of communities, built around the conversations, interests, and experiences people share with one another. Moderators are the heart of that ecosystem: they shape community norms, keep spaces healthy, and help communities grow. As Reddit continues to scale globally, this role will help define how we support moderators, reduce the burden of running healthy communities, and evolve moderation from reactive manual work into proactive, intelligent systems. We are looking for a Staff Product Manager to help define the future of moderation on Reddit. This is a rare opportunity to lead zero-to-one product work at the intersection of user-facing experience, community governance, and cutting-edge LLM systems. You will help Reddit move beyond legacy moderation approaches toward proactive, intelligent, and scalable community enforcement. This role is for a PM with exceptional product judgment, strong user intuition, and enough AI/ML depth to partner closely with Engineering, Data Science, Design, and Safety. The right person can shape compelling user experiences, reason about model quality and tradeoffs, and create clarity in a high-stakes, high-visibility space where the product, technical, and ecosystem decisions all matter. Responsibilities Identify Reddit’s highest-impact opportunities to evolve evolve community enforcement and moderator workflows, and turn them into a clear product strategy and roadmap. Lead zero-to-one development of LLM-powered moderation experiences that are critical to how Reddit scales healthy communities globally. Build a deep understanding of moderators, community members, and healthy community dynamics, and translate those insights into high-quality product experiences. Define success metrics and model/product evaluation criteria that connect user value, community health, and Reddit’s broader strategy. Reason about AI/ML quality, including precision, recall, error costs, coverage, latency, failure modes, human review, and feedback loops. Assess high-stakes ecosystem tradeoffs across community health, moderator trust, user trust, safety, and product quality. Partner with Engineering, Data Science/ML, Design, Safety, Consumer, and senior leaders to drive execution in a highly visible company priority. Communicate strategy, decisions, tradeoffs, and learning clearly to executive stakeholders. Must Haves: Staff-level product experience owning meaningful consumer surfaces or systems with measurable user impact. Exceptional product sense across user intuition, problem framing, prioritization, UX judgment, and product taste. Track record leading ambiguous zero-to-one or major product-evolution work from strategy through launch and learning. Experience building AI/ML-powered products, with fluency in model evaluation and product/model tradeoffs. Strong analytical judgment, including defining metrics, interpreting evidence, and changing direction when needed. Excellent cross-functional leadership with Engineering, Data Science/ML, Design, Safety, and partner teams in ambiguous, technically complex spaces. Nice-to-Haves: Experience with community, social, creator, UGC, trust/safety, or moderation products. Experience with ML-heavy consumer surfaces or policy-sensitive AI experiences. Experience replacing mature systems with a new product paradigm in complex, matrixed organizations. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. About the Team We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable. A few examples of what we own: Enterprise post-training- we are helping real companies by providing them small LLMs that beat frontier models in quality at a fraction of the cost. Off-the-shelf post-training - we are conducting research on datasets we deliver to clients, showing that training on these datasets will improve their performance. Fine-tuning and RL — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost. Evaluation, benchmarking, cost modeling, and model selection across providers. LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate. We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us. About the Position As a Principal ML Researcher, you will define the overarching technical vision, research strategy, and architecture for Toloka’s core ML and post-training stack. In this high-impact role, you will bridge frontier AI research and large-scale platform engineering. You will lead technical strategy across greenfield post-training paradigms (such as GRPO, process/outcome reward modeling, and RLAIF), architect resilient automated evaluation ecosystems, and set the standard for how foundation models are adapted and served on our platform. As a technical authority, you will mentor senior ML engineers, collaborate directly with executive leadership, and represent Toloka in the broader AI research community. What you’ll do Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL, and evaluation capabilities stay ahead of industry trends. Architect Greenfield Post-Training & RL Pipelines: Spearhead the transition beyond basic SFT into advanced RL frameworks (GRPO, PPO/DPO, reward modeling, Process Reward Models, and RLAIF) to power platform-wide LLM alignment and agent behavior. Pioneer Next-Gen Evaluation Harnesses: Design and calibrate bulletproof automated evaluation ecosystems, including human-aligned LLM-as-a-judge frameworks, dynamic benchmarking suites, and regression control setups. Advance Distillation & Inference Optimization: Lead research initiatives on model distillation, quantization, context compression (e.g., gisting), and speculative decoding to optimize latency-cost trade-offs at platform scale. Shape Agentic Platform Capabilities: Architect autonomous guiding agents and tool-use workflows, establishing foundational frameworks for multi-step reasoning, self-correction, and evaluation-driven feedback loops. Technical Leadership & Mentorship: Elevate the engineering and research bar across the team through architectural design reviews, hands-on mentoring of Senior ML Researchers, and establishing best practices for reproducible ML R&D. Cross-Functional & Community Influence: Partner with Product and Engineering directors to translate complex client challenges into scalable platform architecture; author high-impact research write-ups, blog posts, and external tech talks. What we're looking for 6+ years in ML engineering or applied research, with 3+ years of proven track record leading LLM post-training, fine-tuning, or alignment initiatives at scale. Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training. Mastery of LLM Evaluation & Calibration: Proven history of building evaluation pipelines from scratch, addressing LLM-as-a-judge biases, and tightly calibrating automated evals against human gold standards. Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM). Architectural Vision & Product Leadership: Demonstrated ability to map ambiguous technical challenges into robust platform features, balancing state-of-the-art research with production reliability and cost constraints. Technical Authority: Proven experience acting as a technical leader, mentoring senior researchers/engineers, and influencing cross-functional roadmaps. Language: Fluent spoken and written English (C1), with clear communication skills to articulate complex technical concepts to both internal teams and external clients/community. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Singapore Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Spotify reaches Singapore’s audiences across music, podcasts, and audiobooks, at moments when they are engaged and receptive. As a Senior Client Partner, you will help Singapore’s leading advertisers and agencies turn that attention into measurable business results. You will act as a trusted consultant to your clients and manage your own portfolio. Key Responsibilities :- Sell Spotify’s advertising solutions to new and existing advertisers, matching the right products to each client’s objectives. Prospect, source, and close deals with brand advertisers and media agencies in Singapore, leveraging your existing agency relationships. Deliver against sales targets consistently while providing an excellent experience for advertisers. Apply a thorough understanding of agency dynamics, campaign buying, digital media planning, and pricing models. Meet regularly with prospects and clients to understand their campaign objectives and KPI benchmarks, and recommend solutions that help them succeed. Collaborate with Client Solutions Managers to ensure smooth campaign launches, and share timely, constructive feedback. Stay current on market and competitor developments and new product launches. Attend industry events to generate new business leads. Forecast sales revenue accurately on a weekly, monthly, and annual basis. Resolve client issues efficiently and tactfully, and help put measures in place to prevent recurrence. Key Competencies :- Proven sales acumen, with a strong track record of winning and growing large, strategic accounts, ideally in a sales organisation. A strong, established network across Singapore’s media agencies, with credibility and relationships at planning and buying level. In-depth digital media experience, including digital media planning and buying, programmatic and ad tech, and the major platforms and industry players. Strong commercial, influencing, and negotiation skills, with direct revenue responsibility. Operational discipline, including rigorous CRM and pipeline management. Solid project management skills, with the ability to prioritise and manage multiple sales projects. Strong analytical skills, with working knowledge of analytics tools and the ability to draw insights from data. Excellent presentation skills, with the ability to communicate ideas and proposals clearly and concisely. Strategic thinking, with the ability to advise clients as a consultant. Local market knowledge and a deep understanding of Singapore’s advertiser landscape. A positive attitude and a drive to go above and beyond. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH