About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role As a Senior Software Engineer on Sentry’s AI/ML team, you’ll be responsible for building the evaluation infrastructure that measures the accuracy, reliability, and real-world performance of our AI systems. This role is critical to ensuring that our debugging agents and AI-powered features behave correctly, safely, and predictably as they scale. You’ll design datasets, benchmarks, and test harnesses that turn ambiguous AI behavior into measurable signals, helping the team ship AI with confidence. In this role you will Design and build robust evaluation frameworks to measure accuracy, reliability, regressions, and edge cases in AI systems Create and curate high-quality datasets, golden test cases, and benchmarks grounded in real production data Build automated test harnesses and metrics pipelines to continuously evaluate models, prompts, and agentic workflows Partner closely with applied AI engineers and product leaders to define what “good” looks like and translate it into measurable criteria Own the evaluation lifecycle for major AI initiatives, from early experimentation through production monitoring You’ll love this job if you Care deeply about correctness, rigor, and measurement in AI systems Enjoy turning fuzzy product goals and model behavior into concrete tests and metrics Like building foundational infrastructure that unlocks faster iteration and higher confidence for the entire AI team Thrive in cross-functional environments and enjoy influencing model design through better evaluation Qualifications Minimum 5+ years of professional experience with a Bachelor’s degree in computer science, machine learni
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We’re looking for an Senior Software Developer, Backend who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one piece of the production application environment and the developer experience, you will execute on defined projects to achieve team-level goals. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for a hybrid model. This role is open to applicants within commutable distance to Luxembourg. WHAT YOU’LL DO: Write software - tools, libraries, automation, services Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Participate in a flexible on-call rotation Communicate by writing documentation, participating in meetings, and showing off your work at demos WHAT YOU’LL NEED: A degree in Computer Science or Engineering or equivalent experience working in a software engineering role An ability to write software and working knowledge of software engineering practice (Java programming language and strong working knowledge of object-oriented programming concepts) Proven experience creating stable, reliable, performing and maintainable code Familiarity with data modeling and schema design Knowledge of data structures and algorithms Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarific
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We connect Airbnb’s community with the right information, in the right place, at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations, and travelers get just the information they need to enjoy their stay worry-free. Additionally, we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting, and adding meaning to our guest’s trips. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will architect and implement advanced machine learning solutions—including recommendation engines, ranking systems, intent detection models, and the integration of intelligence into existing platforms. Additionally, you’ll lead efforts to harness the power of Large Language Models (LLMs) to create transformative AI experiences. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities. You will be leading ML, Data and Product engineers to drive ML applications. A core focus of your work will be spearheading Machine Learning applications in Messaging and Notification—a high-impact area with significant potential to enhance guest and host experiences at Airbnb. A Ty
Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry. Responsibilities: Define the long-term architectural vision and governance for the Appian platform. Identify systemic technical risks and lead task forces to resolve architectural bottlenecks. Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity. Conduct deep-dive troubleshooting for complex production issues. Promote AI-native engineering practices and integrate AI features into the platform. Lead the development of core platform libraries and high-risk prototypes. Participate in the Architectural Guild and review high-impact design documents. Mentor lead and senior engineers, and represent Appian in the tech community. Ensure operational resilience with self-healing and highly available systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems. Strong understanding of data structures, algorithms, and design patterns. Proven transformational leadership in technological migrations or strategies. Expertise in Java and Cloud-Native ecosyst
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. Role Summary Join the tvScientific team as a Senior Account Executive on our CPA team, where you'll play a pivotal role in driving new business and revenue growth. In this position, you will focus on building and closing high-value client relationships within the cost-per-acquis
Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Singapore. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products. As a Senior Quantitative Trader your responsibilities will include Develop and deploy completely automated systematic strategies with short holding periods and high turnover Typical strategies deployed include Alpha-seeking strategies and Market Making Rigorously back-test strategies on in-house research infrastructure Graviton can offer a successful Quantitative Trader Exceptional financial rewards Friendly and collegial working environment Access to advanced trading systems for low-latency execution of strategies Excitement of being a part of a new expanding trading business Requirements : Deep experience in HF/UHF Trading Live HF Trading experience for at least 2 years. PnL Track record with excellent sharpe ratios. Programming experience in C++ or C Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 4 Weeks of paid vacation Regular after work parties Top of the line health insurance for family International team outing
Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in both C++ and python analysing production strategies for risk attribution, performance break-ups along various buckets and so on. Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies. Implementing tools for analysing Market Data centrally across various exchanges. Managing deployments and release cycle, with working along with a senior trader. Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting. Basic knowledge of Linux and shell command-line tools Basic programming and scripting (Python/Shell) skills Strong problem-solving, and analytical skills Excellent communication skills Have a strong work ethics Mentorship experience in guiding junior developers. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great idea
Description: Graviton Research Capital LLP, Gurgaon is looking to hire Software Engineers for our Core Technology team which has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. As a Senior Software Engineer with Graviton your responsibilities will include: Designing and implementing a high-frequency automated trading system, that trades on multiple exchanges Building live reporting and administration tools for the trading system Performance optimization and improving the overall latency of systems, through algorithm research and using cutting edge tools and techniques End-to-end ownership of modules, including designing, development, deployment and support Growing the team through involvement in the regular hiring process and occasional campus recruitments Requirements : The ideal requirements for our candidates are: A degree in Computer Science 3-5 yrs Experience with C/C++ and object-oriented programming Experience in HFT industry Expertise in algorithms and data structures Excellent problem solving skills Strong communication skills A working knowledge of Linux systems Any of the following is a plus: A good understanding of TCP/IP and Ethernet Knowledge of any other programming language e.g. Java, Scala, Python, bash, Lisp, etc. Familiarity with parallel programming models and parallel algorithms Experience with big data environments e.g. Hadoop, Spark etc. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation Annual international team outing Fully covered commuti
About the Team The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety. About the Role Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research? This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll: Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios. Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safet
About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety. About the Role Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research? This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused. Our relevant publications: Preparedness framework Preparing for future AI capabilities in biology Safety evaluations hub OpenAI GPT5 System Card Evaluating Fairness in ChatGPT Improving Model Safety Behavior with Rule-Based Rewards OpenAI Model Spec Your Responsibilities: Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios. Develop structured taxonomi
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations. This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. As a Member of Technical Staff, you will: Design and write high-performing and scalable software for training models. Develop new tools to support and accelerate research and LLM training. Coordinate with other engineering teams
We are seeking a Vice President of Marketing to lead and scale the company’s end-to-end marketing function, with a clear mandate: build a durable, performance-driven growth engine that delivers measurable business outcomes. This role sits at the center of Marketplace performance, accountable for the systems that drive acquisition, activation, and monetization across SMB and mid-market customers - and for ensuring those systems scale efficiently and predictably. We have strong foundations: a scaled marketplace, global supply, and growing demand across key AI categories. What’s needed now is a step-change in how we convert that demand into durable growth. This is a senior executive role with significant autonomy and company-wide influence. You will lead a multi-disciplinary organization and partner closely with Product, Engineering, Data Science, and Finance to improve the full customer journey. Responsibilities *Own and scale the Marketplace growth system for SMB and mid-market customers, translating company strategy into a multi-year, integrated operating plan across acquisition, activation, engagement, and monetization, with clear accountability to business outcomes such as GSV per active client and overall company growth. *Drive a step-change in how Marketing operates by scaling experimentation, improving efficiency, and building a more integrated, high-performing system across all disciplines. *Define and lead the long-term vision, strategy, and execution roadmap for Marketing, positioning the function as a core driver of gr
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Senior Site ReliabilityEngineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows. This role will be instrumental in advancing the reliability, scalability, automation, obser
About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior PMO who supports the coordination and delivery cadence of complex, multi-team client engagements. This role keeps program governance running smoothly—driving meeting discipline, tracking open issues to resolution, and ensuring accurate, actionable records across workstreams. What you’ll do: • Lead the planning, execution, and delivery of complex, cross-functional technical programs on behalf of client organizations, ensuring alignment with the client's business objectives, technical strategy, organizational priorities and team dynamics. • Drive definition of program scope, milestones, timelines, dependencies, resource requirements, and budget within the engagement's statement of work (SOW), while proactively managing risks, issues, and changes throughout the program lifecycle. • Understand, communicate, and execute program strategies that align with the client's enterprise architecture, security, compliance and operational standards. •
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