About the Team As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery team. About the Role As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists who are working on improving the consumer experience. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform strategic product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations. You're excited about this opportunity because you will… Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience i
Jobs in Canada
Operations Engineer in San Francisco
183 active opportunities · Updated October 2026
Showing
15 jobs
Explore current operations engineer jobs in San Francisco. Filter by work mode, employment type, experience, department, date posted and distance.
$128K – $160K/yr
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 Lifecycle Growth Marketing team engages with millions of Lyft riders and drivers to drive preference and usage of Lyft. The team runs hundreds of acquisition, engagement, retention and resurrection experiments every year across email, push notifications, SMS and in-app messaging surfaces. We are data-driven in everything we do. We test and measure all of our communications and tailor experiences to be personalized and contextual by audience segment. In this role, you will work closely with Product, Engineering, Analytics, Data Science, and Marketing Operations to design, test and optimize incentive and non-incentive messages and experiences. Responsibilities: Own the lifecycle marketing strategy for your audience — define the channel mix, set the prioritization framework, and ensure every communication delivers clear value to the target user Build and manage an experimentation program that drives measurable impact — from ideation through results, with a clear point of view on what to test Partner with Engineering, Product, and Data Science to unlock new platform capabilities, influence roadmaps, and push beyond out-of-the-box tooling Own performance reporting — define metrics, experimentation setup, and share results and next steps with stakeholders and leadership Drive creative strategy — brief, review, and iterate on assets across email, push, SMS and in-app with a strong feedback loop with designers and copywriters Apply behavioral science frameworks to inform message sequencing, timing, and incentive design Experience: 6+ years in growth marketing. You've owned a full lifecycle marketing program from the ground up — not just executing campaigns, but building strategy from high-level goals and managing a prioritized roadmap Strong SQL skills required — you’re comfortabl
$150K – $236K/yr
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role We are looking for an experienced IT Support Lead to deliver exceptional technical support while helping scale and improve our IT operations. This is a hands-on role for someone who enjoys solving complex technical problems, improving processes, and creating a great employee experience. As the IT Support Lead, you will be the primary owner of day-to-day IT support operations, endpoint lifecycle management, onboarding and offboarding, inventory management, and knowledge management. You will serve as a senior technical resource for employees and help establish operational standards across the IT organization at HP IQ.. What you might do Provide hands-on technical support for employees across macOS, Windows, mobile devices, office technology, and SaaS applications. Act as the senior escalation point for complex support issues, driving problems through resolution while maintaining a high-quality employee experience. Identify recurring support trends and help improve processes, tooling, and self-service resources. Own and execute IT onboarding and offboarding workflows, including device se
From $1.3M/yr
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
$190K – $240K/yr
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
$155K – $185K/yr
Sr. Content Marketing Manager Location: San Francisco, CA · In-office 4 days/week Team: Strategic Marketing Reports to: Sr. Director, Strategic Marketing About the role Sigma produces a lot of content — blog, video, product launches, thought leadership — and this role is the editorial backbone that makes all of it sharper, faster, and on brand. You'll run the Sigma blog end-to-end, raise the quality bar on everything that ships, and build the systems and internal bench that let us scale content without losing voice or accuracy. This is a senior, hands-on editorial role for someone who edits with both technical judgment and taste. You'll work shoulder-to-shoulder with PMs and engineers to keep content accurate, coach employees and contractors to produce great work, and bring new thinking to how Sigma earns awareness. You'll join an established content team and won't have to do it all yourself — a Content Producer partners with you on publication and operations. This role reports to the Sr. Director of Strategic Marketing, with room to grow into people management as Sigma's content team scales. What you'll own Editorial standards and editing Edit a high volume of blog posts, balancing technical nuance with taste. You're comfortable editing in the data, analytics, apps, or AI space — you don't need to know everything, but you know what you don't know, flag it, and lean on PMs and engineers to keep content accurate and clear. Keep Sigma's content on brand across every channel and format. Reinforce the standards that contribute to great content: Clear positioning, high-quality imagery, and connected messages across multiple content pieces. Blog and AEO operations Run the Sigma blog end to end: calendar, editorial standards, and publication. Manage the AEO content calendar and the relationship with Sigma's AEO contractor, ensuring 5 AEO blogs are edited, SME-reviewed, and published each week. The team's Content Producer supports publication, with you s
From $227.2K/yr
Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin
From $1.3M/yr
About the Team We help Merchants access the financial products they need to grow and operate their businesses. DoorDash Capital is one of the company's fastest-growing bets, and our team owns the full growth engine from identifying unmet Merchant needs to launching products and scaling them. We obsess over how to deliver more value to Merchants through our platform and our financing partnerships, and we measure ourselves on adoption, revenue, and Merchant outcomes. About the Role You will report to the Director, S&O New Business on our DoorDash Capital team and own the growth of one of our newest bets with a key partner in the financing space. This is a 0-to-1 growth role: you'll take an early product and scale it to maturity by driving adoption, conversion, and revenue. You will have support from product, engineering, sales, and marketing. The ideal candidate is energized by finding growth levers, moving fast, running experiments, and learning from data in a high-velocity environment. You’re excited about this opportunity because you will… Strategize – Understand the needs of our Merchants, prioritize those needs by impact, and create solutions with cross-functional partners Build – Drive the implementation of new product features and processes for managing Merchant financial products Construct - Navigate in an ambiguous environment and bring structure to undefined opportunities. There won’t be playbooks or templates, instead you will create them. Analyze – Leverage data whenever possible to inform your hypothesis and convince cross functional partners. Influence – Work cross-functionally with our Product, Engineering, Sales, Marketing, Finance, and Business Development teams to align on a path forward and bring these products to market We’re excited about you because… You have 4+ years of experience in strategy & operations / product management / investment banking / management consulting / mergers & acquisitions or relate
From $1.1M/yr
About the Team The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams. You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization. You’re excited about this opportunity because you will… Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets We’re excited about you because… You have 2+ years of experience in Analytics, Consulting, or Strategy You have a bachelors degree or higher You are highly technical with advanced SQL, basic Python/R, AI, and data modeling experience. You are an excellent analytical thinker who can deliver actionable recommendations
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you’ll do: Manage a team of Data Scientists supporting SoFi’s Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and reta
$1.4M – $1.8M/yr
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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing
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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: We’re building Commercial Banking from the ground up and are looking for a Principal Product Manager to lead the strategy, roadmap, and delivery of our next-generation business banking platform. This is a 0→1, company-level role responsible for defining how businesses move and manage money across modern rails — including Wires, ACH, FedNow, and emerging real-time/stablecoin settlement. You will set the vision, drive the roadmap and deliver the experiences and infrastructure that commercial clients need to run their businesses. You’ll operate with high autonomy, influence executive strategy, and lead complex, regulated financial systems from concept through scale. What you’ll do: Define the multi-year product vision and roadmap for Commercial Banking Own and deliver client facing experiences and APIs and end-to-end platform: business accounts, payments rails (Wires, ACH, FedNow), treasury capabilities, and APIs Lead 0→1 product development from discovery through launch and scale Manage and grow a product team to drive roadmap and delivery as business scales Partner cross-functionally with Business, Engineering, Risk, Compliance, Treasury, Finance, Sales and Operations teams to bring product roadmap to life Translate regulatory and operational constraints into elegant product
Other cities to consider
More places hiring for this role
Get new operations engineer jobs in San Francisco, Canada by email
Daily job updates · Unsubscribe anytime