Jobs in Canada

Ai Infrastructure System Engineer Bangalore in Canada

1,268 active opportunities · Updated October 2026

Explore current ai infrastructure system engineer bangalore jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$46/hr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

PythonMachine LearningAIGo
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📍 Montreal, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%
Quick readStrong listing-quality and freshness signals

Chez Lyft, notre mission est de servir et de connecter. Nous visons à y parvenir en cultivant un environnement de travail où tous les membres de l'équipe ont leur place et peuvent s'épanouir. Les stagiaires travaillent côte à côte avec les meilleurs ingénieurs de l'industrie tout en ayant une autonomie dès le départ. Ils contribuent aux produits destinés aux utilisateurs et peuvent voir leur travail être mis en ligne rapidement. Lyft favorise un environnement collaboratif au bureau, donc il y a toujours un esprit vif désireux d'entendre parler de votre prochaine idée. Alors, quelle est la vôtre? Responsabilités: Prenez en charge votre projet, tout en échangeant avec les autres membres de l'équipe tout au long de la journée pour poser des questions et faire le point Vous laissez le code dans un meilleur état que vous ne l'avez trouvé (refactorisation progressive) Vous accordez de l'importance à la fiabilité, garantie par les tests (tests unitaires, d'intégration et de charge) Participez aux revues de code afin d'assurer la qualité du code et de partager les connaissances Intégration et déploiement continus Rentrez chez vous en sachant que votre travail d'aujourd'hui améliore concrètement la vie de chaque chauffeur et chaque passager Lyft Expérience: Poursuit actuellement un baccalauréat ou une maîtrise en informatique dans une université canadienne (obligatoire) , avec une date de graduation prévue entre décembre 2027 et l'été 2028 (obligatoire) . Pour les candidats à la maîtrise ayant travaillé entre leur baccalauréat et leur maîtrise : les candidats doivent également avoir moins de 2 ans d'expérience de travail à temps plein pertinente Disponible pendant l'été 2027 pour le stage à Montréal Solides connaissances des fondamentaux de l'informatique Excellentes compétences en communication Passion pour la communauté, la durabilité et/ou le transport Capacité à s'épanouir dans un environnement d'entreprise en démarrage (startup) Contributio

VueRedisAIExcel
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📍 Montreal, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%
Quick readStrong listing-quality and freshness signals

Chez Lyft, notre raison d'être est de servir et de connecter. Nous visons à y parvenir en cultivant un environnement de travail où tous les membres de l'équipe ont leur place et peuvent s'épanouir. En tant que stagiaire en automatisation des tests chez Lyft, vous collaborerez étroitement avec des ingénieurs chefs de file dans l'industrie, tout en bénéficiant de la liberté d'innover dès le premier jour. Vos contributions seront essentielles pour accélérer le développement de nos produits et renforcer la confiance et la satisfaction des utilisateurs grâce à la création d'outils d'automatisation de tests à la fine pointe de la technologie. Chez Lyft, nous cultivons un environnement de bureau dynamique et collaboratif, où des esprits brillants sont toujours prêts à écouter et à soutenir votre prochaine grande idée. Quelle sera la vôtre? Responsabilités: Prenez en charge votre projet, tout en échangeant avec les autres membres de l'équipe tout au long de la journée pour poser des questions et faire le point Vous laissez le code dans un meilleur état que vous ne l'avez trouvé (refactorisation progressive) Vous accordez de l'importance à la fiabilité, garantie par les tests (tests unitaires, d'intégration et de charge) Participez aux revues de code afin d'assurer la qualité du code et de partager les connaissances Intégration et déploiement continus Rentrez chez vous en sachant que votre travail d'aujourd'hui améliore concrètement la qualité de vie de chaque usager de Lyft Urban Solutions ! Expérience: Poursuit actuellement un baccalauréat ou une maîtrise en informatique dans une université canadienne (obligatoire) , avec une date de graduation prévue entre décembre 2027 et l'été 2028 (obligatoire) . Pour les candidats à la maîtrise ayant travaillé entre leur baccalauréat et leur maîtrise : les candidats doivent également avoir moins de 2 ans d'expérience de travail à temps plein pertinente Disponible pendant l'été 2027 pour le stage à Montréal Solides connaissances des fo

VueRedisAIExcel
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$40/hr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science or related major from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required) . For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for an internship in Toronto Strong knowledge of CS fundamentals Knowledge of SQL and data modeling fundamentals Experience working with databases Excellent communication skills Interest in solving large scale data problems in a real world scenario Passion for community, sustainability, and/or transportation Benefits: Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft belie

SQLRestAIGo
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📍 Toronto, Ontario, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. Lifecycle Marketing is a horizontal team that shapes how we engage clients and talent across the full journey, and this role sits in our demand-side acquisition lane. We’re hiring a Lifecycle Marketing Lead, Growth & Acquisition to own high-impact lifecycle programs that help close the new-client acquisition gap through smarter demand capture and stronger engagement with SMB audiences. You’ll lead key initiatives across outbound prospecting and always-on content, translate performance signals into clear recommendations, and help shape how lifecycle marketing contributes to Upwork’s 2026 priorities. This is a senior indi

RestMachine LearningAIGo
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📍 Canada· Full-time· Remote
✓ High-confidence listing

From C$154K/yr

Quick readStrong listing-quality and freshness signals

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Offensive Security Engineer on the Application Security team within Security, you'll pioneer how Coinbase uses frontier AI models to scale vulnerability discovery, red team AI systems, and automate security workflows. This role bridges traditional penetration testing with next-generation AI-augmented offensive security, directly accelerating our ability to protect products and customers. You'll own the development of AI-driven security tooling and collaborate across Vulnerability Management, Offensive Security, and Incident Response to fundamentally shift how we operate. What you'll do: Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface. Lead red teaming efforts against internal AI systems, including jailbreak testing, prompt injection analysis, and tool abuse simulation. Develop AI-driven automation for vulnerability triage, validation, and remediation workflows to accelerate the bug bounty and vulnerability response pipelines. Partner with engineering teams to prioritize, remediate, and verify fixes for critical vulnerabilities discovered through AI-augmented and manual testing. Mentor junior security engineers on integrating AI into offensive security workflows to scale team capabilities. Required Skills and Experience: 3+ years of experience in application s

PythonAWSAIGo
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$108K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

PythonSQLAIGo
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📍 Canada· Full-time· Remote
✓ High-confidence listingCompany trend -100%

From $139.2K/yr

Quick readStrong listing-quality and freshness signals

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 The Pricing team defines and executes GitLab's pricing strategy, a function that's important to our success. As a Lead Pricing Strategist, you'll shape pricing and packaging across our portfolio, from the Premium and Ultimate tiers to GitLab Duo and our growing set of artificial intelligence (AI) and usage-based products, including Flex and Orbit. You'll work with leaders across Product Management, Product Marketing, Finance, go-to-market teams, Sales, and Deal Desk to evaluate opportunities, create business models for new offerings, and improve how we package our existing portfolio. What you’ll do Collab

GitRestAIGo
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -100%

From $87K/yr

Quick readStrong listing-quality and freshness signals

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are a strategic advisor and a jurisdictional expert in the Americas (Canada, LATAM, etc.) with a proven track record of helping customers navigate high-stakes complexities. You are consultative, proactive, and passionate about turning nuanced challenges into actionable solutions. You are comfortable solving open-ended, high-risk problems and serving as the final authority on complex global employment and Employer of Record (EOR) practices. You build trust easily, collaborate across teams, and advocate for customers while strategically mitigating risk for the business. As an International Consultant, you are the subject matter expert and trusted advisor for Justworks’ international customers. While the Support Specialist team handles tactical platform navigation and payroll inquiries, you focus on the complex moments—including jurisdictional separation guidance, international benefits strategy, and global regulatory compliance. You own the strategic relationship for customers expanding into diverse international markets, ensuring they maximize the value of Justworks' global offerings while maintaining total compliance. Your Su

AWSRestAIGo
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$108K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Extensive experience in object oriented programming, ideally in GoLang or Python Experience in backend software development of distributed systems and concurrency Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family bui

PythonAWSAIGo
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$108K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

PythonMachine LearningAIGo
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📍 San Francisco, Canada· Full-time
✓ High-confidence listingCompany trend -100%

$210K – $270K/yr

Quick readStrong listing-quality and freshness signals

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors Nextdoor's Client Partner team is a diverse, driven, and strategic group of sales professionals focused on connecting brands with our community of neighbors through our growing portfolio of advertising solutions. The team culture mirrors our broader business, relying on trusted relationships, collaboration, and a shared commitment to delivering value for both advertisers and neighbors. We're a purpose-driven company looking for curious, customer-focused sales professionals who are passionate about helping businesses grow, solving complex marketing challenges, and building a culture of belonging. At Nextdoor, we operate in an AI-first environment. We value people who thoughtfully integrate AI into their daily work—not simply to automate tasks, but to improve decision making, deepen customer insights, and enhance execution. We look for candidates who combine AI curiosity with strong human judgment and accountability for the final outcome. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Client Partner, you'll play a critical role in driving growth across Nextdoor's San Francisco and greater West Coast markets. You'll own a strategic territory across the regio

GitRestAIGo
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📍 Toronto, Ontario, Canada· Full-time· Remote
✓ Quality checkedCompany trend -91.5%

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! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. In this role, you will: Build and ship features for North, our AI workspace platform Develop autonomous agents that talk to sensitive enterprise data Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling Collaborate with researchers to productionize state-of-the-art models and techniques You may be a good fit if: Have shipped (lots of) fullstack code (Python and React) in production You excel in fast-paced environments and can execute while priorities and objectives are a moving target You’ve worked in both large enterprises and st

PythonReactAIExcel
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📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$79.6K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role owns the forecasting, capacity, and scheduling models that keep our global support workforce sized and staffed correctly. You'll work hands-on with our BPO partners to translate demand signals into staffing plans, and bring deep contact centre planning expertise to a team managing support at scale across multiple sites and geographies. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track record of turning data into real decisions; strong commun

PythonSQLAIRust
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📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -100%

$175K – $185K/yr

Quick readStrong listing-quality and freshness signals

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Product Designer for Nextdoor's Consumer Product organization, you'll take full, dedicated ownership of key product areas — from production design through launch. You'll be a key player in driving our design vision, and join a team of designers evolving and improving the user experience of our platform. You'll work alongside product managers, engineers, and researchers to shape experiences that transform how neighbors connect with each other, their neighborhood, and local businesses. Deeply human-centered and mission-driven, you're excited to create digital experiences that strengthen real-world connections and empower neighbors and their businesses to build stronger communities. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make Are you excited by the challenge of fast-paced growth, seeing your designs come to life, and collaborating with

GitRestAIGo
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