Customs Associate Salary India in Canada

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Counsel, Commercial What You’ll Do Snorkel AI is looking for a Counsel, Commercial to join our growing Legal team, reporting to Snorkel’s Associate General Counsel, Commercial. This is a key role across Snorkel’s commercial contracting function, including vendor agreements and customer agreements. You will serve as a trusted legal partner to business teams across the company, drafting, reviewing, and negotiating a wide range of commercial contracts while helping build scalable processes. You’ll work closely with cross-functional stakeholders, combining strong commercial legal skills with the hands-on, execution-oriented approach required in a fast-growing technology company. This hybrid role is based in San Francisco or New York City. Responsibilities Draft, review, and negotiate a broad range of commercial contracts, including vendor and customer agreements, NDAs, MSAs, SOWs, order forms, and other commercial arrangements. Serve as a trusted legal partner to cross-functional teams on commercial contracts. Manage a high volume of contracts and competing priorities, ensuring timely execution and alignment with business objectives. Review and negotiate commercial

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

The Team + The Role Pendo’s Professional Services team is part of the broader Strategy & Transformation organization. The team helps customers transform how they operate, not just how they use Pendo, through technical and strategic consulting. This work spans complex technical engagements, including system migrations, integrations, and data work, as well as advisory support that helps customers evolve their processes, teams, and ways of working. As a Sr. Professional Services Engineer Consultant, you will own the design and delivery of complex technical engagements. You will work at the intersection of product, data, and engineering, extending Pendo’s capabilities through custom integrations, data pipelines, APIs, and technical solutions that connect Pendo to customers’ broader ecosystems. You will partner with consultants and Customer Engineers to deliver outcome-driven engagements that accelerate time to value and enable long-term customer success. This role is based in Raleigh, San Francisco or remote What this looks like day-to-day Engagement design and scoping: Partner with Account Directors and Customer Engineers to qualify Professional Services opportunities and distinguish transformation gaps from tooling gaps. Lead scoping conversations with customer stakeholders, define the problem, validate appetite, design engagement structures, and author Statements of Work that are commercially sound and delivery-ready. Custom integrations and data solutions: Design and build technical solutions that extend Pendo’s capabilities and integrate with customer systems. Write production-quality code, build APIs, design data pipelines, and implement ETL processes across data warehouses, analytics platforms, BI tools, and emerging AI/ML systems. Technical project delivery: Own multiple complex technical projects end-to-end, including data engineering and system integration work. Lead execution, troubleshoot issues, provide technical leadership on escalated engagements, and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Opportunity: Okta Access Gateway (OAG) Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access Gateway (OAG) solves the enterprise hybrid cloud challenge by extending Okta’s cloud identity, Adaptive MFA, and Zero Trust security policies to on-premises and legacy applications without requiring custom code changes or traditional VPNs. As the Engineering Manager for Okta Access Gateway in Toronto, you will lead and grow a team of software engineers building the next generation of our hybrid access and gateway infrastructure. You will partner closely with Product Management, Architecture, Security, and Quality teams to deliver high-throughput, mission-critical security software deployed across multi-cloud and enterprise datacenters globally. What You’ll Do People Leadership & Team Growth Lead, mentor, and empower an engineering team, fostering an inclusive, high-performance, and psychologically safe engineering culture. Drive career progression, goal setting, regular 1:1s, and continuous feedback to help engineers grow their technical and leadership skills. Attract, interview, and hire diverse engineering talent to scale Okta’s engineering presence in Toronto. Delivery & Operational Excellence Own the end-to-end execution and delivery of key product roadmap initiatives, balancing feature velocity, technical debt, and softwar

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

We are a special software team embedded in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our developers are crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do Developers play an essential role through innovative technologies: machine learning, cloud computing, optimization engines, non-traditional high-performance databases, custom applications and data visualization. You own the entire software life cycle: Collaborate with portfolio managers, analysts and researchers to analyze interesting financial problems. Design, plan and implement solutions in an entrepreneurial spirit. Keep investment systems running smoothly through enhancements and support. What You Bring Programming Knowledge – you are working towards an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. Deeply Analytical – you possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role. Passion for Technology – we work with a range of technologies and programming languages, including Python, Kdb+/Q, R, Spark, AWS, and Databricks. Prior experience with these technologies is not required; what matters is a genuine enthusiasm for technology and an eagerness to learn new languages, tools, and concepts. Collaborative Communication – you have a collaborative spirit that helps you to work well with others and you communicate effectively. Interest in Investment Management&

We are a special software team embedded in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our developers are crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do Developers play an essential role through innovative technologies: machine learning, cloud computing, optimization engines, non-traditional high-performance databases, custom applications and data visualization. You own the entire software life cycle: Collaborate with portfolio managers, analysts and researchers to analyze interesting financial problems. Design, plan and implement solutions in an entrepreneurial spirit. Keep investment systems running smoothly through enhancements and support. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. Deeply Analytical – you possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role. Passion for Technology – we work with several programming languages (Kdb+/Q, Python, R, Java, C#, Spark) and upfront knowledge is not required. If you are passionate about technology, learning new languages and concepts is natural and fun. Collaborative Communication – you have a collaborative spirit that helps you to work well with others and you communicate effectively. Interest in Investment Management – this is key. Your interest will help you learn about our complex domain. &nbsp

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is looking for a Head of Talent Acquisition Operations & Insights to build and lead the systems, processes, tools, metrics, and operational infrastructure that power our recruiting organization. This leader will own the design and execution of a modern TA operations function that enables Snorkel AI to scale hiring with speed, quality, consistency, and data-driven decision-making. This is a builder role for someone who has stood up TA operations in a hyper-growth technical startup environment. You should be equally comfortable designing the strategy, implementing the systems, improving process, building reporting, leading recruiting coordination, and partnering with recruiting and business leaders to improve how hiring gets done. We are looking for someone who brings strong operational discipline, deep knowledge of recruiting systems and workflows, and a forward-looking perspective on how AI can modernize talent acquisition. What You’ll Do Build and lead the TA operations function for Snorkel AI, including recruiting systems, tools, workflows, reporting, process, and coordination. Own the recruiting tech stack, including ATS configu

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Marketing at Snorkel is growing rapidly and anchored by high-ownership operators who lead independently, align cross-functionally, and consistently deliver outsized results. We partner across Sales, Product, Research, and the executive team to translate complex AI and data value into differentiated positioning, integrated programs, and field-ready enablement that accelerates growth. The culture is high standards, high autonomy, and high collaboration. About the Role Reporting to the Sr. Director of Product Marketing, the Product Marketing Manager, Frontier Labs will own the GTM execution for our frontier lab business. You will partner closely with Research, FDE, and frontier-facing sales teams to translate technical work into research-credible positioning, repeatable sales plays, and high-quality GTM programs that resonate with research and procurement leaders inside frontier labs. You will keep the frontier asset library (battlecards, technical one-pagers, decks, benchmark and eval narratives) sharp against a fast-moving market, and bring competitive and customer insight into every motion. This is a hands-on role for a product marketer who wants

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role Snorkel is hiring a Head of Security to build and lead our security function end-to-end — infrastructure security, application security, and governance, risk & compliance (GRC). You'll own the security function end-to-end — strategy, team, and execution — and operate as the primary security voice with customers, auditors, and the exec team. You'll report to the CTO. This is a builder's role: you'll take security from its current state to a mature, right-sized function as Snorkel scales, hiring and developing the team as needs grow. Key Responsibilities Security Leadership & Team Building Define Snorkel's overall security strategy,

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Accounting Manager, Technical Accounting & Financial Reporting San Francisco, CA (Hybrid) About The Role We are seeking a highly motivated Accounting Manager, Technical Accounting & Financial Reporting to play a key role in building and scaling Snorkel's accounting organization. This position combines technical accounting expertise with operational excellence. You will partner closely with the Controller and Accounting team to own key areas of the monthly close, prepare technical accounting analyses, support financial statement audits, and help establish scalable accounting processes and internal controls. The ideal candidate enjoys solving complex accounting issues while remaining hands-on in day-to-day accounting operations. You thrive in a fast-paced startup environment, embrace ambiguity, and enjoy building processes that support a rapidly scaling business. What You'll Do Month-End Close & General Accounting Support and help lead the monthly, quarterly, and annual close processes. Prepare and review journal entries, reconciliations, accruals, and supporting schedules. Perform detailed balance sheet reconciliations and investigate reconcil

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role We're looking for our founding AI Data Product Manager to own Snorkel's Agentic Data and RL Environments roadmap. In this role, you'll lead the product strategy for a variety of data types (e.g. Agentic Coding, Computer Use). You will shape the roadmap for the datasets Snorkel invests in by understanding the market, incorporating frontier lab needs and collaborating with researchers at Snorkel and our academic partners. This role is highly cross-functional, sitting between Research, GTM and Operations. As a founding member for this role, you will be in charge of setting up the frameworks to build the roadmap, gather data from relevant sources, and share the roadmap with both internal and external stakeholders. What You'll Do Own the "data as a product" roadmap for Snorkel's Agentic and RL Environment focus areas, working x-functionally with research, academic partners, and GTM to define the skills and capabilities for our datasets Shape new "data" product areas and work with academic partners and research leaders to build Snorkel's competitive edge in the market Collaborate cross-functionally to help shape the roadmap and data strategy and influence bu

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. This role is hybrid ( 3 days/week in office) in San Francisco, CA . The DaaS org is a delivery-first team that has more than tripled in size over the last six months, with no signs of slowing. They deliver high-quality data operations and AI deployment outcomes for frontier labs and AI teams. This org has a unique composition: forward deployed engineers, technical and operations delivery managers, a supply team managing a workforce comprised of multiple worker types at scale, and others. The people challenges here require an HRBP who has seen this kind of complexity before, such as workforce planning across FTEs and contractors, building a high performance culture rooted in delivery outcomes, and keeping a geographically dispersed, operationally complex team connected to Snorkel's culture. You'll partner directly with our DaaS GM and leadership team, and you'll need to be as comfortable in the operational weeds as you are in strategic conversations. The ideal background is professional services, managed services

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