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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 a sharp, positive, and motivated self-starter to join our Mid-Market Goods team in Toronto! In addition to laying the foundation of the team, the Client Partner will be responsible for forming relationships with key brands and ensuring they meet their business objectives using Reddit's advertising suite. Please note that this role is required to work in-person from our Toronto office 1-2 days per week. Core Responsibilities: Collaborate with existing clients to deliver Reddit solutions that help achieve those customers’ marketing and business goals Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close Collaborate with Account Managers to create long-term, mutually beneficial partnerships between your customer base and Reddit Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor Communicate feedback on our sales processes, narratives, and products to advocate for customers and improve the team's effectiveness and efficiency 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 buye

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world largest companies Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user growth Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build an innovative product capabilities Qualifications We Need 10+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience to enable customer facing cap

About the Role We're looking for a driven, phone-first Sales Sourcer to help us build out our sales team. This isn't a passive recruiting role you'll be spending your days finding great sales talent on LinkedIn, picking up the phone, and convincing top candidates to take the conversation further. If you love the thrill of a cold call and get excited about finding the one great candidate out of a hundred profiles, this is for you. What You'll Do Source sales candidates directly on LinkedIn, reviewing large volumes of profiles to identify the right fit Conduct cold outreach via phone, text, and LinkedIn messages phone calls are your primary weapon Pitch our company compellingly and handle objections in real time Qualify candidates against a clear ideal profile before passing to the recruiting team Build and maintain organized candidate pipelines and track outreach activity Continuously refine your sourcing approach and identify the best target companies to recruit from What We're Looking For 1 year of experience in recruiting, sourcing, or sales we care more about your drive than your resume A genuine love for cold calling; you're comfortable picking up the phone and starting conversations from scratch Strong communication skills you can pitch a company clearly and confidently in under 90 seconds High attention to detail when evaluating candidate backgrounds; you can quickly assess quality from a LinkedIn profile Self-starter mentality you don't need to be told twice and you figure things out Passion for sales and an understanding of what makes a great sales rep Nice to Have Prior experience sourcing or recruiting for sales roles Familiarity with tools like LinkedIn Recruiter Background in sales or a sales environment Additional Job details The base salary range for this position is $90k - $100k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experien

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world largest companies Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user growth Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build an innovative product capabilities Qualifications We Need 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience to enable customer facin

Location : Come and join us in Barcelona! We are looking for a talented and motivated Backend Engineer (m/f/d) for our Driver Engagement Team. As part of a highly skilled, cross-functional team comprising Mobile Engineers, Backend Engineers, a Product Manager, a Product Designer, a Data Analyst, and an Engineering Manager, you will help shape the future of mobility with Freenow by Lyft and assist our drivers in their daily work. Our team is dedicated to enhancing the Engagement and Quality of Service (QoS) for drivers, ensuring they have the tools and insights needed to deliver exceptional service. We achieve this by: Building a driver loyalty and rewards system, to recognize and retain top-performing drivers Measuring and analyzing driver performance , providing actionable metrics to both drivers and internal teams. Enabling self-service capabilities , empowering drivers to manage their accounts efficiently. Providing access to support tools , ensuring drivers receive timely assistance. Integrating key insights into internal systems , fostering collaboration across teams. As a critical part of our company, this team's work directly impacts thousands of drivers and, ultimately, the experiences of millions of customers. Your contributions in this role will have a tangible and far-reaching effect on the lives of many. As an engineer on our team, you will tackle exciting challenges, including designing and building innovative products that enhance urban mobility—creating solutions that are delightful, sustainable, and tailored to the needs of our users. You'll be involved in every stage of product development, from ideation to implementation, ensuring a seamless and impactful experience. We also value a mindset that challenges the status quo —constantly exploring new technologies and approaches to improve our products and maintain a state-of-the-art codebase . Beyond technical excellence, your contributions will help foster a collaborative and inspiring team cult

Location : Come and join us in Athens Being a Customer Care Executive is a role combining front office and back office duties for both drivers and passengers using Freenow by Lyft. You face users and turn them into the most passionate Freenow lovers, looking for unique and exciting ways to solve problems. You’ll be providing exceptional support, ensuring that issues occurring are resolved promptly and efficiently as part of our top-performing Customer Experience team. Your goal will be to ensure high-quality service to our clients and that our Real-Time Team runs smoothly and profitably. Shifts: 8h per day, 24h rotations; Monday to Sunday (incl. Bank Holidays), with 2 days off per week YOUR DAILY ADVENTURES WILL INCLUDE: Deliver high-quality support via calls, emails and messenger platforms Be a passionate advocate for riders and drivers while answering any questions that come your way Triage issues and escalate them when necessary Cooperate with other departments to assist inside projects and resolve technical issues Our Tools : Google Suite | Microsoft Office | Zendesk TO BE SUCCESSFUL IN THIS ROLE: Initial experience in customer support The ability to speak, read and write Italian and English, any other language is a plus - Please submit your application in English Good problem solving and active listening skills Ability to multitask and perform effectively under pressure Detail-oriented, proactive in process improvements BENEFITS & PERKS IN A NUTSHELL: Flexible working arrangements LinkedIn Learning Sabbatical & special leave policies WeRoad partnership Birthday, 24th + 31st December off Short term EU work policy Mobility Credit Health Insurance Employee assistance program Plus more local benefits depending on your work location! DIVERSITY, EQUITY & INCLUSION: Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual or

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar’s Enterprise Sales team partners with some of the largest wealth management firms in the globally, including many listed on the Barron’s Top 40. As an Enterprise Account Executive, you will lead complex, consultative sales efforts with a small set of highly strategic clients. This is a senior role with responsibility for both driving new business and expanding long-term partnerships across global financial institutions. You will act as the business owner for your accounts , setting strategy, leading execution, and aligning internal teams to deliver meaningful outcomes for clients. This role goes beyond traditional sales; you’ll help shape how leading firms evolve their advisor and client experience through technology. You’ll operate in a highly cross-functional environment, partnering with teams across Sales Engineering, Client Success, Services, Partnerships, Marketing, and R&D to deliver a consistent, high-quality experience from initial engagement through long-term growth. What You’ll Do Own and grow strategic relationships - Build, expand, and deepen relationships with key enterprise clients. Drive new business, renewals, and multi-year expansion opportunities across your portfolio. Lead consultative enterprise sales c

A discretionary macro investment team is looking to add a fundamental analyst/strategist in rates and FX, focused primarily on Southeast Asian emerging markets. What you’ll do Work with PM to formulate and develop trade ideas across Southeast Asian FX and rates markets Develop and maintain sell-side relationships Assist in portfolio and risk management Conduct ongoing fundamental research to support and enhance the investment activities of the group Work on numerous ad-hoc projects to enhance the trade identification and management process Work with banks and brokers for information gathering, relationship building and assisting with execution What’s required 10-12 years of experience in fixed income in a strategy or analyst role at a top tier hedge fund, asset manager, or bank Highly knowledgeable about Southeast Asian emerging markets Knowledge and ability to work throughout the trade-cycle: completing risk-assessment analysis, trade structuring and implementation to the point of execution Deep understanding of technical details and idiosyncrasies related to the fixed income markets in these countries Strong competency in Excel and VBA, and preferably strong programming skills in a common language such as Python Strong communicator who values building relationships with colleagues and stakeholders, and able to significantly raise but also modulate volume depending on opportunity set Willingness to take ownership of his/her work, working both independently and within a small team Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Health care benefits Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Tuition assistance About Point72 Point72 is a leading global alternative investment fir

Must be based in Vancouver The role We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on. What you'll do Design and operate our cloud data platform: ingestion, transformation, orchestration and serving. Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage. Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status. Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop. Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring. Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control. What you'll bring Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design. Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator. Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals. You can reaso

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries fo

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a Verification Lead for our next-generation AI hardware. You’ll guide a top-tier team of Verification Engineers, shaping test strategies to validate functionality and performance of our AI core. This role requires expertise in AI-specific data types, common AI data-movement compute patterns, and on-chip network validation, combined with strong leadership and collaboration skills. This role is hybrid, based out Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Seasoned Verification Leader: An experienced ASIC/SoC lead with proven track record of leading teams through complex tape-outs. An AI Hardware Specialist: An expert in the nuances of high-performance compute, specifically focused on AI/ML architectures and the intricacies of tensor-based operations. A Systems Architect at Heart: A strategist who views verification through a system-level lens, ensuring that hardware, software, and on-chip networks (NoC) harmonize perfectly. A Technical Mentor: A hands-on guide proficient in UVM, SystemVerilog, and cocotb, dedicated to elevating team capabilities and driving rigorous coverage-driven methodologies. What We

About Clutch: We’re on a mission to reinvent the way people buy, sell, and own cars. Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car buying and selling experience to drivers everywhere. Customers can browse thousands of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee. Named five years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, British Columbia, New Brunswick, Nova Scotia, and Prince Edward Island. Clutch is backed by a number of world-class investors, including D1 Capital, Canaan, Real Ventures, BrandProject, and BMO. To learn more, visit clutch.ca . About the Role We’re looking for an experienced Brand Manager to help bring the Clutch brand to life across every touchpoint. You’ll own the day-to-day execution of our brand strategy, from managing our agency of record and leading creative briefs to ensuring campaigns, retail spaces, and brand initiatives are delivered at a high bar. This is a highly hands-on role for someone who understands what makes a great brand and knows how to turn strategy into action. You’ll work cross-functionally, push for best-in-class creative, and help us build Clutch into Canada’s next household name. What You’ll Do Manage the Agency of Record Relationship: Serve as the primary point of contact for our agency of record, ensuring alignment on brand strategy, creative direction, and deliverables. Build a collaborative, high-performing relationship that keeps the agency accountable to timelines, budgets, and brand standards. Own the Briefing Process: Lead campaigns from ideation through execution, writing and delivering creat