Staff Software Reliability Engineer Data Platform in Canada

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. Tenstorrent is building the next generation of AI and RISC-V compute. As a Sr. Staff NPI Global Supply Planner, you will own end-to-end demand, materials, and production planning across our AI hardware product lines, including Blackhole, Galaxy, and future platforms. You will translate engineering release schedules, BOM structures, and production forecasts into executable supply and capacity plans with our contract manufacturers, while keeping planning data accurate and reliable across ERP and PLM systems. This role is hybrid, based out of 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 strategic, detail-oriented supply chain planner who can turn engineering and program ambiguity into clear, executable plans. Experienced in NPI planning within semiconductor, AI hardware, or high-tech manufacturing environments. Comfortable working across BOM structures, engineering change processes, ERP and PLM systems, and system-of-record data. A clear, collaborative communicator who can align engineering, operations, planning teams, and contract manufacturers. What We Need Lead end-to-end materials and production planning across NPI r

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 looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution Analyze our internal systems and processes and locate areas for improvement/automation Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Provide technical mentorship and feedback to junior engineers Help establish roadmap and architecture based on technology and our needs Experience: B

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Support our team culture by working in the office 4 days a week (Monday - Thursday). This means you’ll have to live within commuting distance of the office you’ll be working in. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The Sales Development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: A passion for technology and software sales

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. Position Description: You will proactively construct and own an AI-forward research roadmap for key product pillars at Okta, operating at the intersection of Identity, Security, and Artificial Intelligence. As a Staff-level individual contributor, you will drive both qualitative and quantitative methodologies to define user experiences for non-deterministic AI agents, automated workflows, and enterprise platforms. Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization. In this role, you’ll get to: Drive Product-shaping Research: Lead foundational and evaluative research to inform strategic and tactical product decisions. Execute Balanced Mixed-Methods: Drive qualitative depth (contextual inquiry, cognitive walkthroughs) and quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products. Pioneer AI Research Operations: Integrate AI tools, prompt engineering, and agentic research workflows into your daily practice to accelerate quality research outputs. Lead Cross-Discipline Collaboration: Facilitate research to drive cross-discipline clarity, executive alignment, and decision-making across complex security and admin workflows. Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning. Cultivate E

About the Role At DoorDash we are redefining what it means to be a designer. We are building towards a team of makers, builders, and doers. Between 2005 and 2015, "web designer" became "product designer" and the scope widened. The same shift is happening now — LLMs are expanding the T again, toward strategy on one end and direct execution on the other. As a Staff Product Designer, you will lead this shift across your team: not just practicing build-first design, but multiplying it through the people and systems around you. We're seeking an ambitious and system design minded Staff Product Designer to lead “Meals for Work” within DoorDash for Business , a strategic area at the heart of redefining workplace dining and company perks. You’ll craft transformative consumer and enterprise experiences, from tools that make team lunch ordering effortless to scalable solutions for catering, company paid recurring meals, and grocery benefits. This role offers a unique opportunity to design powerful systems that help workplace admins plan, manage, and operate food programs with confidence, while pioneering new offerings in an evolving market. This position is open for candidates in San Francisco, Seattle, or New York City, and will report to the Head of New Bets Design within our Consumer organization. You will work in a hybrid model, working from one of our offices 1-2 times a week with the rest working from home. Your primary impact is making the team faster and more autonomous. You build reusable workflows, shared tools, and decision frameworks that let every designer on your team operate at a higher level with less coordination overhead. Your secondary impact is revenue: the speed and quality gains you unlock translate directly into more experiments shipped, faster iteration cycles, and measurable business outcomes across your team and adjacent teams. You're excited about this opportunity because you will... Define projects with a clear point of view on what to build,

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the role 1,200+ law firms already run their practice on Eve. This role is about helping firms find and grow into the parts of Eve that matter most to them. You'll own growth and monetization design: trial-to-paid, usage-based pricing, upgrade moments. It's a role that sits close to the business side of the product, where design decisions directly shape revenue. We move fast, but never at the cost of building the wrong thing. We're high-autonomy and team-first — people who take initiative on their own, but still lean on the team, tend to do well here. What you'll do Shape how Eve's AI features get priced and packaged: usage tiers, seat/case limits, credits, premium features. Own growth design end to end: trial-to-pa

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the role: Design at Eve is at an inflection point. We've shipped a product that 1,000+ law firms use every day — and we're now building the design team to match our ambition.You'll own complex product surfaces end to end, partner closely with product and engineering to shape direction, and help raise the bar for how design works across the org. We're a team-first group and co-create together. Design at Eve is AI-first. The workflow moves from LLM to code prototype to Figma/the tool of your choice. We want designers who already work this way, or who are ready to make it their default What you’ll do: Own the full arc of design work. You define the problem, shape the approach, push back when the framing can be better, and stay

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you’ll be doing Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences. You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring

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

The Opportunity This is an exciting time at Enigma. We’re on the cusp of releasing our next generation of small business intelligence products built on years of learnings in the space. We are seeking an experienced Data Scientist to join our Entity Resolution team and help shape the trajectory of these products. Your work will directly impact the accuracy, scalability, and predictive capabilities of our data platform, influencing key business decisions for our customers. The Role Data is at the core of Enigma’s product, which makes data science the beating heart of what we ship. As a Data Scientist on the Entity Resolution Team, you will work in a cross-functional team alongside other data scientists, engineers, and business stakeholders. You will own problems end to end–from raw source data, through models and scalable pipelines, to the customer interface. Your impact will be measured by the contributions you make with your team to improve the accuracy of our data and the value of our product to our customers. What You’ll Do Translate customer goals into working solutions, using large-scale data transformation, sound statistics, and high-quality code. Most of our work is in Databricks (both Spark SQL + PySpark), supported by statistical tooling, and by ML/AI where the problem calls for it. Set a high standard for rigorous analysis and model development, grounded in sound statistical practice, so that results are high-quality and reproducible. Treat data as a reflection of the real world, and develop repeatable strategies for validating results against ground truth. Develop techniques to detect gaps in our data, find the source, and close them in a way that improves the product. Apply a data-focused, first-principles approach to problem solving. We value people who bias toward simple and elegant solutions, but who can implement state-of-the-art models and techniques when the problem requires it What Makes This Role Exciting? Technical challenge : Enigma

The Opportunity This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior/Staff Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery. The Role At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build. As a Senior/Staff ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems. This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems. What You'll Do Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS Evaluate and evolve our search technology stack, driving technical design decisions across index

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 . Location: At Reddit we continue to grow our teams with the best talent. We're completely remote friendly . Team Description: The Marketing Science team at Reddit leverages data to maximize the impact of Reddit’s own marketing investments. We serve as the engine behind our growth, using advanced experimentation, causal inference, and econometrics to understand what drives users to Reddit and what brings advertisers to our platform. We work at the intersection of brand building and performance marketing, ensuring every dollar spent is an investment in the long-term health of our ecosystem. Role Description: Reddit is looking for a highly experienced Staff Data Scientist to lead the strategy and technical execution of our Marketing Intelligence efforts. In this role, you will be the primary architect of how we measure and optimize Reddit’s marketing spend. You will focus on two critical flywheels: B2B Marketing (acquiring and retaining advertisers) and B2C Growth (acquiring and engaging new Redditors). This is a high-autonomy, high-impact role where you will set the long-term strategic goals for Reddit’s marketing measurement, influencing senior leadership and defining how we value our brand and performance efforts. Responsibilities: Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget. Optimize Marketing ROI: Build and refine Media Mix Models (MM